phd in computer science bits pilani

Eligibility

Application procedure, apply online, student loan providers, fee structure, visa information, important dates.

Doctor of Philosophy (Ph.D.)

Research is an integral component in an institute of higher learning. BITS Pilani Dubai campus with its state-of-the-art research facilities offers Ph.D. programmes with strong emphasis laid on interdisciplinary, mission oriented and relevant research. Topics of Research can be chosen from any of the disciplines in which the Institute offers the First and Higher Degree Programmes or any interdisciplinary or allied areas as given in Page 23-26 of the higher degree prospectus. Click here for prospectus.

BITS Pilani offers Ph.D. programme in Engineering & Allied Disciplines under the following schemes:

Full-Time Ph.D (On-campus Ph.D)

Candidates registered for the On-campus programme will undergo the entire pursuit of their thesis on campus. Candidates admitted under this scheme will work full time toward their Ph.D. research and will not take any other assignment till the submission of the final thesis. The required components for On-Campus Programmes are: Qualifying Examination, Course Work, Teaching Practice, Seminar, Doctoral Thesis and Research Methodology. It is expected that the Ph.D. Scholar submits his/her Ph.D. thesis within an upper limit of ten semesters subsequent to passing the Qualifying examination.

Part-time Ph.D.

This unique opportunity is offered for employed professionals working in Industries, Academic Institutes and R&D organizations and having long experience and proven competence in various fields to work towards the Ph.D. degree. Candidates meeting the input qualifications and working in an organization, which encourages and facilitates research and situated preferably in the close vicinity of the BITS Pilani campus are eligible to apply for admission in “Part-Time” Ph.D. programme. The required components for Part-time and Off-Campus Doctoral programmes are: Qualifying Examination, Course Work, Practice Lecture Series, Research Methodology, Independent Study & Doctoral Thesis.

Ph.D. aspirant scheme

Candidates meeting the input qualification and working in an organization collaborating with BITS Pilani will normally be considered for admission to “Off-Campus” programme, also known as Ph.D. Aspirant Scheme. Such candidates will be allowed to pursue their research at their own locations of work. The required components for Off-Campus Doctoral programmes are: Qualifying Examination, Course Work, Practice Lecture Series, Research Methodology, Independent Study & Doctoral Thesis.

The BITS-RMIT & SIRE PhD Program

• Apart from the regular Ph.D. programs, BITS Pilani Dubai Campus offers the following new programs based on specific projects obtained by the faculty members in different schemes. The Ph.D. scholars will be recruited across all the campuses for the following programs centrally and guided by a team of faculty members involved in the project. The projects will be announced twice in a year in the respective portals. The recruited scholars will be provided attractive stipends and fee concessions.
• The BITS-RMIT PhD Program is a unique transnational program that allows to obtain a joint PhD, from two leading universities BITS (Birla Institute of Technology and Science) and RMIT (Royal Melbourne Institute of Technology). The scholars will have an opportunity to spend a year in RMIT. (For details, refer the link https://bitsrmit.in/ ).
• The School of Interdisciplinary Research and Entrepreneurship (SIRE) is envisioned to be a virtual entity that promotes interdisciplinarity in Research and innovation within BITS Pilani. Ph.D. Programs: CDRF, SPARKLE, SOLVE & Ph.D. Drive, (For details, refer the link: https://sire.bits-pilani.ac.in/ ).

Eligibility Criteria For Ph.D.

The following eligibility criteria is applicable for admission to BITS Pilani, Dubai Campus: M.E./M.S./M.B.A./M.Phil. of BITS Pilani or its equivalent with a minimum of 60% aggregate.

Eligible Candidates will be required to take a written test and interview. The admission will be based on the performance in the qualifying degree, experience, test and interview.

Application Procedure For Ph.D.

The Application procedure for admission is listed in detail. Please ensure that you read the instructions carefully and submit all of the documents to avoid disqualification.

•  Read the Admission Bulletin 2024-25 carefully.
• Visit admission.bitspilanidubai.ae
• If you are a candidate for admission to On Campus Ph.D. Programme, sign up as a new user and select the “ Apply Now” link under the Programme “Ph.D. On Campus”
• If you are a candidate for admission to Part Time/Off Campus Ph.D. Programme, sign up as a new user and Select the “ Apply Now” link under the Programme “Ph.D. Part Time”
• Enter all the information required carefully and correctly in the online form.
• Ensure the correctness of all entered data before submission. Once you confirm the correctness of the entered information and submit the form, the entered data will be recorded and you will not be able to change it.
• On starting the application, you will be allotted a unique reference number and you will be directed to proceed for Application fee payment.
• You have the option of paying the fee online through Debit or Credit Card or paying offline either by Cash or Bank Transfer.
• Upon successful completion of online application fee payment, you will be allotted a unique application number and you will be instructed to upload your documents.
• In the event you opt for offline application fee payment (Cash or Bank Transfer), print the filled application form and attach the documents required. (Refer section 4 below) send the proof of fee payment along with Applicant’s name and Application reference number by email to [email protected] for the allotment of unique application number.
• Upon receipt of the unique application number, you can proceed to upload the required documents (jpeg or pdf format) and your submission will be complete.
• For candidates submitting the application and fee online, the system will generate a unique application number. You may note down the number for all future references. For those candidates who are opting for offline submission or payment, a unique  application number will be allotted and informed to the candidate by the institute on receipt of the application and fee. In all subsequent correspondence with the Institute, the candidate must quote this application number.
• Copy of Degree certificate and Transcript/Mark sheets of the first degree programme.
• Copy of Degree certificate and Transcript/Mark sheets of the higher degree programme.
• List of courses and syllabus of each course prescribed for the fulfillment of the Higher degree programme.
• List of prescribed text books for each course.
• Final examination question papers for each course.
• Passport copy.
• Outline of Proposed Topic of Research.
• Profile of your organization.
• Employment Certificate is required by the employer /organization.
• Consent or No-Objection Certificate from Parent Organization from Part-time candidates.
• Proposed supervisor’s consent and his biodata (for off-campus only).
• Consent of supervisor’s organization permitting him to act as a supervisor (for offcampus only).
• Nature of his association with the candidate’s organization if working in a different organization (for off-campus only).
• An amount of AED 220.00 only (Arab Emirates Dirhams Two hundred and twenty only) payable online by Debit/Credit Card or offline either by Cash or Bank Transfer (refer page 25 of Admission bulletin for details).
• Application received without application fee will not be considered.
• The last date for submitting the Application form is 30 May 2024
• Incomplete applications will be rejected.

Click here to apply online

Fee Structure - Ph.D.

BITS Pilani, Dubai Campus offers a very competitive fee structure.

Note: * VAT of 5% is applicable on this fee ; **VAT of 5% is included in this fee; ***VAT of 5% will be charged on the food cost of this fee; $ Refundable on graduation or on leaving the institute, after due adjustment for damages, breakages caused by the student, if any.

Self-funded Scholars: For the full-time scholars, 80% concession will be provided on their tuition fee of AED 12000 (VAT excluded)/ semester whereas 50% concession will be given on their tuition fee for the part time scholars and aspirants. This is subjected to the allotment of duties in the respective departments 6-8 hrs. per week.

Research assistants: applicants with prior research experience and excellent academic credentials will be awarded research assistantships up to aed 2000 per month for 4 years maximum. the tuition fee concession as specified in #1 is also applicable. research assistants have to support the institute in teaching theory and lab classes., hostel fee concession will be given for the self-funded scholars as well as research assistants., self-funded full-time scholars can apply for research assistantships after 1 year. the award of the research assistantships is based on their excellence in the performance after joining the programme., fee payment instructions.

The admission fees can be paid by any one of the modes given below:

• Payment by Cash: The fee can be paid by Cash in AED or USD at the Fee counter in the Institute.
• Payment by Cheque: Payment by cheque will be accepted only if the cheque is from a bank based in UAE. All Cheques should be drawn in favor of “BITS Pilani FZ LLC” and payable in AED at a bank in Dubai. There should be no corrections or alterations on the cheque.
• E-payment: We offer a secure e-payment facility to pay your fee. For e-payment click here .
• Payment by Telex/Bank transfer: Payment can be made directly to one of our bank accounts given below through your bank along with collection charges if any. The TT advice/receipt copy received from your bank must be sent to the Accounts department, by email ( [email protected] ), mentioning the name & application number of the student.
• Payment by Demand Draft: All Demand Drafts should be drawn in favor of “BITS Pilani FZ LLC” and payable in AED at a bank in Dubai.

Please note that the fee must be paid in full and any charges towards collection or clearance of DD/TT must be borne by the students. The Institute will give credit only to the Net Amount credited in its bank account.

Refund policy.

• Application fee and Admission Fee are non-refundable.
• Activity fee is fully refundable if the student withdraws before the date of registration. If the student withdraws within four weeks from the date of registration, whether the student registers or not, 75% of the Activity fee is refundable. If the student withdraws after four weeks from the date of registration, the entire Activity fee is non-refundable.
• If a student accepts the admission offer and completes the admission formalities but withdraws before the date of registration, 80% of the first installment of first semester tuition fee is refundable.
• If a student withdraws within one week of the date of registration irrespective of whether the student registers or not, 50% of the first installment of first semester tuition fee is refundable.
• If a student withdraws after one week of the date of registration irrespective of whether the student registers or not, the first installment of first semester tuition fee is non- refundable.
• If a student opts not to avail the hostel facility after paying the hostel fee and if the request for the same is received before the commencement of the semester, 90% of the semester’s hostel fee and facility fee is refundable.
• If request for not availing the hostel facility is received within one week of the commencement of the semester, 50% of the semester’s hostel fee and facility fee is refundable.
• If request for not availing the hostel facility is received after one week of the commencement of the semester, the entire first semester’s hostel fee and facility fee is non-refundable.
• Visa fee and Medical Insurance fee is non-refundable, if the same has been applied.
• If a student opts not to avail the transport facility after paying the transport fee and if the request for the same is received before the commencement of the semester, 90% of the semester’s transport fee paid is refundable.
• If request for not availing the transport facility is received within two weeks of the commencement of the semester, 50% of the semester’s transport fee is refundable.
• If request for not availing the transport facility is received after two weeks of the commencement of the semester, the entire first semester’s transport fee is non refundable.

Note: All refunds will take a minimum of 4 weeks from the date of withdrawal.

Visa Terms & Conditions

Terms and conditions.

• It is mandatory for all students to have a valid U.A.E. residence visa to study at BITS Pilani, Dubai Campus (BPDC).
• If the parent or guardian cannot sponsor the student or if the student is a non-resident of UAE, then the BPDC can facilitate U.A.E. Student Residence Visa ( visa ) under the sponsorship of Dubai Development Authority (DDA) through Dubai International Academic City (DIAC) subject to the submission and approval of necessary documents given in the student residence visa application form (visa form), rules & regulations of BPDC and Government of UAE (Govt ). As a facilitator, BPDC only co-ordinates between DDA and students for obtaining the visa.
• The visa is valid for one year and is subsequently renewable every year. The issue of fresh visa and renewal of visa are subject to the submission of necessary documents and as per rules and regulations of BPDC, DDA, DIAC, General Directorate of Residency and Foreign Affairs Dubai ( GDRFAD ), Ministry of Health (MOH) and Govt. BPDC is not responsible for any delay or non issuance of new visa or rejection of visa renewal by the Govt.
• The rules & regulations regarding conditions for visa issuance of GDRFAD, MOH and Govt may change from time to time.
• The mandatory documents as mentioned in the visa form should be submitted on or before the scheduled date by the BPDC Admissions Department and/or BPDC Administration (Admin Dept.).
• For visa renewal either the student should submit the necessary documents on or before the scheduled date by the Admin Dept or at least 8 weeks before the actual visa expiry date stamped in the passport.
• Submission of invalid documents or non-submission of required documents or late submission of required documents, or delaying the visa medical and/or related formalities beyond the scheduled date by DHA / National Emirates ID Authority (EIDA) / Institute will lead to immigration fines and penalty. The student is responsible for such fines and penalty.
• Valid health insurance is mandatory. Students are required to undergo a medical examination as prescribed by MOH / GDRFAD in the specified Govt. hospitals after their arrival in UAE to stamp the multiple entry visa in their passport. The medical examination and the related process usually take 3 – 5 weeks. If any student is declared medically unfit by MOH/GDRFAD, his/her residence visa will not be stamped / renewed and the student should leave the country immediately after canceling the visa.
• After the visa stamping in the passport, student can travel outside UAE any number of times with the prior approval of BPDC. Student should not stay outside UAE for more than 180 days continuously after the visa is stamped on the If the student stays beyond 180 days, his visa becomes invalid and will not be allowed to enter UAE
• Visa facilitated by BPDC is for the purpose of education only and students are not permitted to work .
• Student should contact the Admin Dept at least a month before the visa expiry for the visa renewal.
• Student should pay 2,900/-* for fresh visa & related service fee. The amount paid towards fresh visa & related service fee is non-refundable.
• In case of students, who are a resident of U.A.E. on their own visa sponsorship and wish to come under the visa facilitated by the Institute by in-country & local amendment should pay a sum of 4,700/-* towards fresh visa and related service charges. In such case, the student is required to submit the original passport and visa cancellation paper immediately after the cancellation of the existing visa along with all other required documents to process the student visa.
• Students should pay a sum of 2,150/-* per year towards visa renewal and related service charges.
• The visa and related services fee include Dhs 280 /- towards mandatory EIDA Card** issued by Govt.
• The visa renewal and related service charges should be paid before applying for subsequent year visa renewal.
• The visa cancellation can be done only inside UAE by DDA through BPDC. After completion of the program and/or before leaving the Institute, the student residence visa must be cancelled by the BPDC Admin Dept irrespective of the visa validity stamped in the passport of the student. Hence student must complete the necessary formalities including submission of the original passport, EIDA card and payment of cancellation fees (Normal process AED 850/- with time frame of 10 to 15 working days) as informed by the Admin Dept. Students who have stayed outside UAE for more than 180 days continuously are also required to cancel their visa through Admin Dept even though the visa is invalid. Failure to do so will result in serious consequences as per rules and regulations of Institute, DDA, GDRFAD and Govt.
• Students should keep themselves updated about the rules and regulations pertaining to the terms and conditions of their residence visa as stipulated by GDRFAD.
• Student should abide by all the rules and regulation of the BPDC, DDA, GDRFAD and Govt. Non-compliance of any laws and regulation by various Authorities may lead to penalty including deportation for which BPDC is not responsible.
• Cancellation of Entry permit will take a minimum of 10 to 15 working days.

* All the fee charges as mentioned above for visa & related services are indicative only and or subject to change as per rules and regulations of the Institute, DDA, DIAC, GDRFAD and Govt .

** With regards to EIDA log on to https://uae/en/information-and-services/visa-and-emirates-id/emirates-id

In case of any changes in the personal information provided in the visa form, the student should notify the same to the Administration Department of BPDC immediately.

Important Dates for Ph.D.

IMPORTANT DATES FOR Ph.D. ADMISSION 2024-25

Call us  on: +9714 2753 711 (Dubai) +91 91 21 90 7799(India) +91 72 07 89 9869 (India)

Write to us: [email protected]

Useful Links:

Bachelor of Engineering (B.E.)

Master of Engineering (M.E.)

Master of Business Administration (M.B.A.)

Call us  on: +9714 2753 711 (Dubai) +91 91 21 90 7799 (India)

Write to us: [email protected]

M.Tech. Artificial Intelligence and Machine Learning

With a surge of job opportunities in the fields of Artificial intelligence and Machine Learning, the world is indeed standing on the threshold of massive transformation.

According to the World Economic Forum's Future of Jobs Report, 85 million jobs will be replaced by machines with AI by 2025. While that might make you uneasy, the same report states that 97 million new jobs will be created by 2025 due to AI. Are you prepared? 

Prepare for a career with infinite possibilities in AI and ML with India’s most comprehensive and world-class M.Tech. Artificial Intelligence and Machine Learning programme without taking any career break.

This four-semester programme covers a wide variety of skills and knowledge areas, and enables IT professionals and Software developers to build a skill set that enables career elevation in some of the most sought-after job roles such as ML Engineers and AI Scientists, etc.

Option to pay fees using easy EMI with 0% interest and 0 down payment.

WILP programs are

UGC approved

Easy EMI Option With

0% Interest & 0 down payment

Admission begins

August 2024

Fees per semester

Programme Highlights

• M.Tech. Artificial Intelligence and Machine Learning is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.
• This programme is of 4 semesters and can be pursued only by working professionals. You can pursue the programme without any career break.
• The programme will also enable working professionals to attend contact classes from anywhere over a technology-enabled platform. The contact classes will be conducted mostly on weekends or after business hours.
• Offers the most comprehensive AI & ML Curriculum for working professionals.
• The programme has an unmatched range & depth, and covers the widest variety of skill & knowledge areas required to develop advanced AI solutions.
• Meant for IT professionals and Software developers aiming to become expert Machine Learning Engineers & AI Scientists.
• The programme offers a set of core courses and elective courses, allowing students to gain expertise in Advanced Deep learning, Natural Language Processing, etc.
• The programme makes use of Tools and Technologies. These include Tensorflow for Deep Learning and various Python libraries for data processing, machine learning, OpenCV for computer vision, NLTK for NLP etc.
• The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learned during the programme.
• The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
• The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of Virtual lab exercises, assignments, case studies and work-integrated activities.
• Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni
• Option to submit fee using easy-EMI with 0% interest and 0 down payment .

UGC Approval

BITS Pilani is an Institution of Eminence under UGC (Institution of Eminence Deemed to be Universities) Regulations, 2017. The Work Integrated Learning Programmes (WILP) of BITS Pilani constitutes a unique set of educational offerings for working professionals. WILP are an extension of programmes offered at the BITS Pilani Campuses and are comparable to our regular programmes both in terms of unit/credit requirements as well as academic rigour. In addition, it capitalises and further builds on practical experience of students through high degree of integration, which results not only in upgradation of knowledge, but also in up skilling, and productivity increase. The programme may lead to award of degree, diploma, and certificate in science, technology/engineering, management, and humanities and social sciences. On the recommendation of the Empowered Expert Committee, UGC in its 548th Meeting held on 09.09.2020 has approved the continued offering of BITS Pilani’s Work Integrated Learning programmes.

Programme Curriculum

Participants need to take at least 12 courses towards coursework, and complete one Project/ Dissertation. The coursework requirement for the programme would consist of a set of core courses and electives. Core courses are compulsory for all participants, while electives can be chosen based on individual learning preferences.

• First Semester
• Second Semester
• Third Semester
• Fourth Semester
• Mathematical Foundations for Machine Learning.
• Machine Learning
• Introduction to Statistical Methods
• Artificial and Computational Intelligence
• Deep Neural Networks
• Deep Reinforcement Learning
• Dissertation

Pool of Electives for : Deep Learning Specialization

• Advanced Deep learning #
• Graph Neural Networks
• ML System Optimization
• Fair, Accountable, Transparent Machine Learning

Note: 3 courses are required including the course marked in #

Pool of Electives for : NLP Specialization

• NLP Applications
• Social Media Analytics
• Natural Language Processing
• Information Retrieval
• Conversational AI

General Pool of Electives

• Design of Algorithms
• Computer Vision
• Probabilistic Graphical Models
• Data Management for Machine Learning
• Video Analytics
• Advanced Data Mining
• AI and ML techniques for Cyber Security

Note: Choice of Electives is made available to enrolled students at the beginning of each semester. Students' choice will be taken as one of the factors while deciding on the Electives offered. However, Electives finally offered will be at the discretion of the Institute

For detailed programme curriculum, download the brochure.

Mode of learning.

The Mode of Learning used in this programme is called - Work Integrated Learning. Internationally, Work Integrated Learning (WIL) is defined as "An educational approach involving three parties - the student, educational institution, and employer organization(s) - consisting of authentic work-focused experiences as an intentional component of the curriculum. Students learn through active engagement in purposeful work tasks, which enable the integration of theory with meaningful practice that is relevant to the students' discipline of study and/or professional development*.

An education model can be considered as WIL if and only if:

• The programs are designed and developed by the institute in collaboration with industry.
• Work-focused experiences form an active part of the curriculum.
• The program structure, pedagogy and assessment enable integration of theory-with relevant practice.

The innovative Work Integrated Learning Programs (WILP) of BITS Pilani are quite aligned with the above definition and requirements. The programs are designed in collaboration with its industry partners, subject matter experts from industry and academia that enable the students to remain relevant in their chosen profession, grow in their career and retain the habit of lifelong learning. The continued availability of workplace related experiences along with the weekly instruction sessions promote integration of theory with practice. An active participation of the organization mentor in the learning process of the student plays a key role. Case studies, simulation exercises, labs and projects further strengthen this integration.

The WILP of BITS Pilani is comparable to its campus-based programs in terms of structure, rigor, instruction, labs, assessment, faculty profile and learning support. The pervasive adoption of technology in all its academic processes makes the same high-quality education of BITS Pilani available to the aspirants at scale with the required flexibility. 

Key Benefits of BITS Pilani WILP

1) Can pursue the programme without any career break and along with the job.

2) The programme curriculum is highly relevant to sectors, industries and organisations they work for

3) In addition to the institute, the learning experience of working professionals in the programme is also supported by the employer organisation and Industry Mentors.

4) Effective use of technology to deliver a range of learning interventions at the location of the working professional such as faculty contact sessions, asynchronous learning materials, remote, virtual and cloud labs, Learner support, peer to peer collaboration etc. 

5) Contact sessions with faculty take place mostly over weekends or after business hours and are conducted over a technology platform that can be accessed from anywhere. 

6) Mid semester and End semester examinations for every semester are conducted mostly at designated examination centres distributed across the country (for details refer to link mode of examinations) 

7) Learners can access engaging learning material which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.

EXPERIENTIAL LEARNING

The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated, and real work situations. This is achieved through:

• Simulation Tools, Platforms & Environments: Some or all of the following would be utilised across the programme. Tensorflow for Deep Learning and various Python libraries for data processing, machine learning, OpenCV for computer vision, NLTK for NLP etc.

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.

CASE STUDIES AND ASSIGNMENTS

Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

DISSERTATION/ PROJECT WORK

The fourth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.

Industry Talks

The programme features Industry Talks on some of the most exciting developments, and pressing issues faced by businesses in the technology space. Speakers include business leaders, R&D professionals, and academicians from leading technology firms and institutions. 

Some of the recent and upcoming sessions include:

Mode Of Examination

Mode of Examinations applicable for students admitted in Batch starting in April/May 2024:

Semester 1, 2 and 3 have Mid-Semester Examinations and Comprehensive Examinations for each course. These examinations are mostly scheduled on Friday, Saturday or Sunday. Students need to  appear in person for taking the examinations at the institution’s designated examination centres  as per the examination schedule, Instructions, rules and guidelines announced before every examination. 

Students can take their examination at any of our  23 designated examination centres in India  at the following locations:

South Zone:  Bangalore, Chennai, Hyderabad, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram and Coimbatore. 

North Zone:  Delhi NCR, Jaipur, Chandigarh, Lucknow and Pilani. 

West Zone : Mumbai, Pune, Goa, Ahmedabad, Indore and Nagpur.

East Zone:  Kolkata, Bhubaneshwar, Guwahati and Jamshedpur.

In addition to these locations, the Institution also has a designated examination centre in  Dubai.

During these semesters, in addition to the above mentioned Mid-Semester and Comprehensive examinations, there will also be Quizzes/Assignments conducted online on the Learning Management System (LMS) as per the course plan in which the students need to participate.

In Semester 4 (Final Semester), the student will be doing Dissertation/Project Work as per the Institution’s guidelines.

Eligibility Criteria

• Employed professionals holding B.E. / B.Tech. with at least 60% aggregate marks and minimum one-year relevant work experience after the completion of the degree are eligible to apply.
• Employed professionals holding MCA / M.Sc. or equivalent with at least 60% aggregate marks with university level mathematics / statistics as mandatory subjects and minimum one-year relevant work experience after the completion of the degree are also eligible to apply.
• Working knowledge of Computing and programming is required.

Fee Structure

The following fees schedule is applicable for candidates seeking new admission during the academic year 2023-2024.

• Application Fees (one time) : INR 1,500
• Admission Fees (one time) : INR 16,500
• Semester Fees (per semester) : INR 68,500

Fee Payment Schedule:

• Block Amount: INR 25,000 (payable within 7 days of receipt of provisional Admission Offer Letter
• Remainder Programme Fee: INR 2,00,000 (payable within 15 days of receipt of Final Admission Offer Letter)
• Pay fee in easy EMIs of INR 13,333 with 0% interest. Click here to know more.

The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay Rs. 85,000/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre. Fee payment by easy-EMIs with 0% interest. Click here to learn more.

Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

For the examination centre at Dubai, in addition to the semester fees, for each semester there will be an examination centre fees of 1000 UAE Dirhams or equivalent per semester out of which 500 UAE Dirhams is to be paid at the time of appearing in Mid-semester examinations at Dubai Centre for that semester and the remaining 500 UAE Dirhams is to be paid at the time of appearing in comprehensive examinations at Dubai centre for that semester.

All the above fees are non-refundable.

Important : For every course in the program institute will recommend textbooks, students would need to procure these textbooks on their own.

How to Apply

• Click here to visit the BITS Pilani Online Application Center. Create your login at the Application Center by entering your unique Email id and create a password of your choice.
• Once your login has been created, you can anytime access the Online Application Center using your email id and password. Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice.
• Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all the details and press ‘Submit’ button given at the bottom of the form.
• Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.
• Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card.
• Take a printout of the downloaded Application Form and note down the Application Form Number displayed on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with BITS Pilani.

In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organisation’s HR or any other authorised signatory of the company.

Important : In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their HR/ other authorised organisational representative. Such candidates may instead request an email approval to be sent to their official email ID by the HR using the format available through this link .

Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.

Who is a Mentor:

Candidates applying to Work Integrated Learning Programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. Wherever the proposed Mentor is not from the same employing organization as that of the candidate, a supporting document giving justification for the same should be provided by the candidate’s employer.

Candidates applying to B.Tech. programmes should choose a Mentor who is an employed professional with B.E./ B.S./ B.Tech./ M.Sc./ A.M.I.E./ Integrated First Degree of BITS or equivalent

Candidates applying to M.Tech., M.Sc., MBA, M.Phil programme should choose a Mentor who is an employedprofessional with:

B.E. / M.Sc. / M.B.A. / M.C.A. / M.B.B.S. etc. and with a minimum of five years of relevant work experience

M.E./ M.S./ M.Tech./ M.Phil./ M.D./ Higher Degree of BITS or equivalent

Important : In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their Mentor. Such candidates may instead request an email approval to be sent to their official email ID by the Mentor using the format available through this link .

• Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.
• Make photocopies of the documents mentioned in this Checklist.
• Applicants are required to self-attest all academic mark sheets and certificates.
• Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are DOC, DOCX, PDF, ZIP and JPEG.
• Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.
• Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.

Note: It is also possible that some candidates may receive a link to take an Online Learning Readiness Evaluation from the Admission Cell, after filling up the Online Application Form. This is a one-hour objective-type exercise which will ascertain minimum mathematical and programming acumen needed to pursue the programme. You will be given typically 48-hours to complete this online evaluation.

A sample model paper will also be provided to help you understand the format of Online Learning Readiness Evaluation. After the Online Learning Readiness Evaluation is completed, the Admission Cell will intimate selected candidates by email within one week.

Batch Profile

1. How are classes conducted?

Contact classes are conducted over a technology enabled platform. These classes can be attended via the internet using a computer from any location. These contact classes offer similar levels of interactivity as regular classrooms at the BITS Pilani campus. These are conducted usually over weekends or after business hours for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

2. Who can apply to this programme?

This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization. Professionals who are owners of a registered business are also eligible to apply. For detailed information, including academic background, work experience, etc. refer to the programme eligibility criteria.

3. What kind of certificate will I receive at the end of the programme?

Upon successful completion of the programme, participants will receive a degree certificate from BITS Pilani.

4. How will exams be conducted?

Each semester has a Mid-semester Exam and a Comprehensive Exam for each course  , which are conducted over weekends. Students will need to appear in-person to take these exams at exams centers in the following locations: India Centers:

South Zone: Bangalore, Chennai, Hyderabad, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram and Coimbatore.

North Zone: Delhi NCR, Jaipur, Chandigadh, Lucknow and Pilani.

West Zone: Mumbai, Pune, Goa, Ahmedabad, Indore and Nagpur.

East Zone: Kolkata, Bhubaneshwar, Guwahati and Jamshedpur. International Centers: Dubai In case students are unable to take an exam due to work-related commitments, there is also a provision of appearing for Make-up Exams.  

5. Will I be able to interact with the faculty members?

The programme provides a high degree of interactivity between students and the faculty members and programme instructors. Q&A sessions during the contact classes (which you can attend from anywhere over a technology enabled platform) allow participants to pose questions to the faculty members, and seek guidance through voice and chat. Further interaction with faculty members and peers is enabled through the e-learning portal, by using discussion forums and message boards.

6. How will I be able to run experiments and access labs for this program?

The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience.

Participants will be given access to portals, that will allow them to access both cloud-based labs, as well as Campus-based physical labs. Using leading industry-recognised Software tools, Programming languages, and Simulation software, participants will be able to perform experiments and run simulations to advance their knowledge

7. Who is a Mentor? Will BITS Pilani help me find a mentor?

Candidates applying to the programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. For detailed information, please refer to the programme brochure.

8. Do I need to visit a BITS campus during the programme?

The programme is designed for working professionals, and participants are not required to travel to a BITS campus. However, certain programme offer Campus Immersion Modules such as workshops or seminars, which are highly recommended but not mandatory.

9. Is this programme approved by UGC?

Yes, UGC has approved the continued offering of M.Tech. Artificial Intelligence and Machine Learning as a part of WILP on the recommendations of Empowered Expert Committee. Click here to learn more.

10. What is M.Tech. in Artificial Intelligence and Machine Learning programme from BITS Pilani WILP?

It is a post-graduate programme that focuses on providing advanced knowledge and skills in the fields of artificial intelligence and machine learning. The programme covers topics such as machine learning, natural language processing, neural networks, computer vision, robotics, deep learning, data analysis and more.

11. What are the eligibility criteria for M.Tech. in Artificial Intelligence and Machine Learning programme?

Applicants for the M.Tech. in Artificial Intelligence and Machine Learning program must meet these criteria:

• Employed professionals with a B.E. / B.Tech. or equivalent degree, securing at least 60% aggregate marks
• Possessing a minimum of one year of relevant work experience post-degree completion, are eligible to apply.
• In addition, a working knowledge of computing and programming is required.
• Employed professionals with an MCA / M.Sc. or equivalent degree, achieving at least 60% aggregate marks,
• With mandatory subjects in mathematics or statistics at the university level,
• Possessing a minimum of one year of relevant work experience post-degree completion, are also eligible to apply.

12. What are the job prospects after completing M.Tech. in Artificial Intelligence and Machine Learning programme?

Graduates in M.Tech. in Artificial Intelligence and Machine Learning programme are currently in high demand due to the increasing adoption of AI and ML technologies across industries, such as IT, Retail, Automotive, Manufacturing, Finance, Healthcare, e-commerce, and Telecommunications. Some of the job roles that graduates can explore include AI engineer, ML engineer, Data scientist, Data analyst, and Research scientist.

13. What skills are required to pursue the M.Tech. in Artificial Intelligence and Machine Learning programme?

14. what is the duration of the m.tech. in artificial intelligence and machine learning programme, featured faculty.

Dr. G. Venkiteswaran

Dr. Venkiteswaran obtained his Ph. D in Industrial Mathematics from the Technical ...

Dr. Venkiteswaran obtained his Ph. D in Industrial Mathematics from the Technical University of Kaiserslautern (TUKL), Germany, in the year 2003. After doing a post-doc at the Graduate School in TUKL for close to 18 months, he joined BITS, Pilani as a visiting faculty in the Department of Mathematics, in 2004. Presently, he is the Associate Dean for Quality Assurance and Assessment in the Work Integrated Learning Programmes Division. With over 23 years of teaching experience, he teaches courses in Mathematics and Computer Science. His main research interests are in the area of numerical solution of partial differential equations in high dimensions, Monte Carlo and quasi-Monte Carlo methods.

Prof. Ankur Pachauri

Prof. Ankur Pachauri, is appointed as an Assistant Professor in the Department of ...

Prof. Ankur Pachauri, is appointed as an Assistant Professor in the Department of Computer Science and Information Science, in WILP, Off-Campus center, Pune, since August 2015 and has teaching experience of over 9 years. He had done his schooling from a missionary school, then higher secondary from Kendriya Vidyalaya in the year 2000. He is a Mathematics Honors Graduate of the year 2003, Masters of 2006 and completed doctorate from Department of Mathematics, Dayalbagh Educational Institute, Agra in January 2013. He had also worked as Assistant Professor from June 2012 till July 2015 in Rajiv Academy for Technology and Management, Mathura. He had taught various courses on Algorithms, and Applied Mathematics courses. He has published a number of research papers in various reputed Journals and National & International Conferences Proceedings and they are cited by a large number of Researchers, from various countries. His area of research is Nature Inspired Algorithms, Evolutionary Algorithm, Search Based Software Engineering, Soft Computing and Graph Mining

Prof. K. Gopala Krishna

Prof. K. Gopala Krishna is currently Associate Professor in BITS-Pilani WILP Divis...

Prof. K. Gopala Krishna is currently Associate Professor in BITS-Pilani WILP Division. He has been teaching working professionals in Indian IT organizations since 2009. Prior to his current position as faculty member, he has had over 35 years of experience in the IT industry in the design and delivery of products and services for global clients in Embedded Systems and Enterprise Software arena. He is passionate about Science and Electronics and in his spare time loves to dirty his hands building physical models and run thought- experiments on paper when run out of resources. His interests include Teaching-Learning, Design Thinking, Internet-of-Things, Developmental Economics, eGovernance and Digital Organizations. Krishna started his career with typing lines of Fortran code on a punch-card machine after graduating with M.Tech from Indian Institute of Science, Bangalore.

Prof. Mohammad Saleem Bagewadi

Prof. Mohammad Saleem Bagewadi is an Assistant Professor with the Compute Science ...

Prof. Mohammad Saleem Bagewadi is an Assistant Professor with the Compute Science and Information Systems group of WILP Division, BITS-Pilani. He did his M.Tech from Visvesvaraya Technological University (VTU) in Computer Networks Engineering in 2008. He worked as a QA Network Engineer for 7 years in Juniper Networks and has worked on HighEnd/Core Router network technologies, Layer 2 and Layer 3 protocols. He has been actively involved in industry engagement, content development and delivery of course content. He is very passionate about teaching and getting his students inspired in pursing their educational and career goals. His main research interests are in the area of Networks and Security and Educational Research. He teaches courses in the area of Networking, Cyber Security, Software Engineering and related technologies.

Prof. Vijayalakshmi Anand

Prof. Vijayalakshmi Anand is currently working as an Assistant Professor in t...

Prof. Vijayalakshmi Anand is currently working as an Assistant Professor in the department of computer science at BITS Pilani off campus center,Pune. She has been with BITS pilani since 2008. Before joining BITS , She was working various engineering colleges in chennnai and pondicherry. She completed her master degree in computer science from Anna University,chennai and completed her bachelore degree in Electronics &communication engineering from Manonmaniam Sundarnar university, Tirunelveli. She is pursuing Phd in crowdsourcing and machine computation for social media application at BITS Pilani Hyedarbad campus, Hyderabad. Her academics and research interest are in the area of networking and datascience .

Prof. Satya Sudhakar Yedlapalli

Prof. Satya Sudhakar Yedlapalli is an Associate Professor with the Work Integrated...

Prof. Satya Sudhakar Yedlapalli is an Associate Professor with the Work Integrated Learning Programmes(WILP) offered by the Department of Electrical and Electronics Engineering, BITS-Pilani, Pilani Campus. He is based out of the BITS-Pilani Off-Campus Center at Bangalore since August-2014. He also serves as a Group Leader for the EEE-WILP-OffCampus group since July-2021. He holds a Bachelor of Engineering in Electronics & Communications Engg. from the College of Engg., Andhra University, Visakhapatnam; a Master of Technology(M.Tech) in Communications from the Indian Institute of Technology(IIT)-Madras and a PhD in Signal Processing from the Indian Institute of Science(IISc) -Bangalore. He has about 20 years of technical work experience with the Bangalore based companies (1) Centre for Development of Telematics, (2) Motorola India Electronic Ltd, (3) Texas Instruments Pvt Ltd, (4) Samsung India R & D, (5) Saankhya Labs and (6) Aureole Technologies Pvt. Ltd. He has a passion to design and optimize computationally intensive signal processing algorithms for embedded systems and teach courses which require analytical and computational skills in the electrical engineering domain.

Prof. Akshaya Ganesan

Prof. Akshaya Ganesan is working as an Assistant Professor with the Computer ...

Prof. Akshaya Ganesan is working as an Assistant Professor with the Computer Science and Information Systems group of Work Integrated Learning Programmes Division, BITS Pilani. She has 2 years of experience in the industry and 5+ years of experience in the academia. Apart from effective classroom teaching, she has held various roles and responsibilities including curriculum development, departmental committee works, students counselling, placement training, and recruitment of faculty in various colleges. She holds an M.E Computer Science and Engineering degree from Anna University, Chennai. She teaches courses in the area of Web Development, Service Oriented Computing and Algorithms. Other area of interest includes Full stack software development, cloud computing and Devops.

Dr. Monali Mavani

Dr. Monali Mavani is working as an Assistant Professor with the Computer Science a...

Dr. Monali Mavani is working as an Assistant Professor with the Computer Science and Information Systems group of Work Integrated Learning Programmes Division, BITS Pilani. She has over 16 years of experience in academics and has served in varied roles. She received her B.Tech. degree in Electronics and Communication Engineering from SNDT University, Mumbai, India in 2002, M.E. in Computer Engineering from Mumbai University in 2013 and Ph.D. degrees in Computer Science Engineering & Information Technology from Jaypee Institute of Information Technology, Noida, India, in 2019. Her research interests include IoT, Machine Learning, and Deep Learning.

Prof. Ramakrishna Dantu

Prof. Ramakrishna Dantu is an Associate Professor in the Computer Science and Info...

Prof. Ramakrishna Dantu is an Associate Professor in the Computer Science and Information Systems department of Work Integrated Learning Programs, BITS Pilani, Hyderabad, off Campus division. Prof. Ramakrishna has a Ph.D. From University of Texas at Arlington, USA. He also holds MS in Information Systems from UTA, USA, M.Tech., IIT Bombay, and an MBA from USA. He has over 16 years of IT industry experience in USA in different domains, including Insurance and Transportation Logistics He joined BITS Pilani, Hyderabad in February, 2020. Prior to joining BITS Pilani, he worked as an Assistant Professor at California State University, Sacramento, and as adjunct faculty at University of Texas, Arlington and University of Texas at Austin. He is passionate about teaching and research. His research has been published in Information Systems Management Journal, and several international conferences.

Dr. K. Pradheep Kumar

Dr. K Pradheep Kumar is an Assistant Professor in the department of Computer Scien...

Dr. K Pradheep Kumar is an Assistant Professor in the department of Computer Science and Information Systems of Work Integrated Learning Programmes Division, BITS PIlani. He did his B.E. in Electronics and Communication from the University of Madras in 2002. He did his M.E. in Embedded Systems Technologies in 2005 and PhD in Computer Science in 2013 both from College of Engineering Guindy, Anna University. He has published patents in the domain Embedded Systems, Artificial Intelligence and Quantum Computing. He has several publications and book chapters in the domain of Data science, Artificial Intelligence, IoT and Quantum Computing. His publication in Quantum Computing has secured the Best paper award out of more than 1500 papers received by the “Society for Data Science” in 2021. During his PhD, he was the recipient of Senior Research Fellow award from CSIR. He is an Active member of professional bodies like ACM and IET.His research interests include Embedded Systems, Machine Learning, Artificial Intelligence, IoT, and Quantum Computing. Dr K Pradheep Kumar worked for two and a half years as Assistant manager (Information Technology) in a PSU bank (Union Bank of India) dealing with banking software, Cryptography and Data Security applications, He also worked as Assistant Engineer in Chennai Metrowater (a state government undertaking) in the IT department looking after Oracle data base administration for one and a half year. He has completed seven years as Assistant Professor in the department of computer science and information security in BITS. He has been actively involved in industry engagement, programme and content design, design of lab capsules and delivery of course content. He has been teaching several courses including Cloud Computing, Software Development for Portable Devices, Data Warehousing, Network Security, Real Time Operating Systems, Computer Organisation and System Software and System for Data Analytics for various programmes.

Prof. Chandra Shekar R K

Prof. Chandra Shekar R K is working as Assistant Professor in the WILP divisi...

Prof. Chandra Shekar R K is working as Assistant Professor in the WILP division, CSIS group since 2014. Previous to this, he worked in Academic Institutions (PESIT, TJIT, BTLIT - Bangalore) and IT industry (KALS - Bangalore & Firium, Maxis Communications, KL, Malaysia). He has a total experience of 22 years. He did his B.E in Computer Science and Engg. from UVCE, Bangalore, M.Tech in Computer Network and Engg. from VTU, Belgaum. Currently, he is a Ph.D scholar with BITS, Pilani, KK Birla Goa campus. His research interests are in Cloud Computing and IoT.

Prof. Sugata Ghosal

Prof. Sugata Ghosal is an off campus faculty member in the Computer Science a...

Prof. Sugata Ghosal is an off campus faculty member in the Computer Science and Information Systems department. Prior to joining BITS Pilani, he was a Senior Manager and Program Director at IBM Research – India, New Delhi. Sugata has over 20 years of research experience in areas such as computer vision, machine learning, high-performance computing, software and services analytics. He holds over 45 United States patents and has published over 40 papers in international conferences and journals. Sugata obtained a B.E. in Electronics and Telecommunication Engineering from Jadavpur University, Kolkata and a PhD in Electrical Engineering from the University of Kentucky, Lexington in 1993.

Prof. Pravin Y Pawar

Prof. Pravin Y Pawar is an Assistant Professor with the Computer Science and Infor...

Prof. Pravin Y Pawar is an Assistant Professor with the Computer Science and Information Systems group of BITS, Pilani’s Work Integrated Learning Programmes Division. He completed his ME (Software Systems) from BITS Pilani - Pilani campus and PG Diploma in Data Science from IIIT Bangalore - Upgrad. Prior to joining BITS, Pravin has worked with Oracle India Private Limited, Bangalore and Pune, for twelve and half years’ in the area of business software products development. During his tenure at Oracle, he was mostly working on the design and development of Oracle’s Streaming Analytics product with special emphasis on the visualization and dashboard designs along with analytics capabilities of the product. Pravin leads certificate programme committee as well as Full Stack Engineering programme. He teaches courses related to the Data Science and Software Engineering domain, and is also a key faculty in the M. Tech. (Data Science & Engineering) programme. He is also engaged with PG programmes in the field of AI/ML, Big Data, Business Analytics and IoT where he enjoys simplifying the courses related to the Data engineering.

Prof. Febin A Vahab

Prof. Febin A Vahab is an Assistant Professor with WILP, BITS Pilani, with 10...

Prof. Febin A Vahab is an Assistant Professor with WILP, BITS Pilani, with 10+ years of experience in industry and academics. During her tenure in IT industry, she worked in Business Intelligence domain and has worked in Customer Data Warehousing and Business Intelligence projects of major clients like NORDSTROM, WALMART etc. She did her B.Tech from Kerala University and M.Tech from VTU, Karnataka. She teaches courses in DATA SCIENCE ,Technology and Programming domains.

Dr. Chetana

Dr. Chetana is an Associate Professor in the CSIS department at Work Integrated Le...

Dr. Chetana is an Associate Professor in the CSIS department at Work Integrated Learning Programmes Division, BITS Pilani. She has more than 23 years of teaching and industry experience. She did her PhD in Computer Science and Engineering from a joint programme of IIT Bombay and Monash University, Australia. She has been working extensively on different state of art research projects and has been awarded the “Best Industry Aligned Research” at the CSI TechNext India 2019 - Awards to Academia. She has published various papers and is also a reviewer at national and international level peer reviewed conferences and journals. Her areas of expertise include Machine Learning, Natural Language Processing, Semantic Web, Deep Learning, Text Mining, Big Data Analytics, Information Retrieval and Software Engineering. Apart from teaching above courses at WILP, she is SPOC for practice school program for CSIS

Dr. Saikishor Jangiti

Dr. Saikishor Jangiti believes in “Simplify & Teach Effectively” a...

Dr. Saikishor Jangiti believes in “Simplify & Teach Effectively” and has chosen Teaching as his profession after completing his B.Tech in Computer Science & Information Technology from JNTU, Hyderabad and M.Tech in Computer Science & Engineering from Sri Venkateswara University, Tirupati. He joined the CSIS Group, Work Integrated Learning Programmes Division, BITS, Pilani with 12+ years of experience. While teaching at SASTRA Deemed University he got an opportunity to pursue research in the fields of Artificial Intelligence and Cloud Computing. He has published 17 articles in peer-reviewed international journals and conferences with a cumulative impact factor of 7.6 and awarded with the degree of Doctor of Philosophy. His subject interests include Artificial Intelligence, Data Centers, Cloud Computing, Data Mining, Web Technologies

Prof. Srinath Naidu

Prof. Srinath Naidu is an Associate Professor with the Work-integrated Learni...

Prof. Srinath Naidu is an Associate Professor with the Work-integrated Learning Programme at BITS Pilani. Srinath brings a blend of industrial and academic experience into this role with seven years of industrial experience in Electronic Design Automation companies such as Magma, Synopsys and Cadence and ten years of academic experience with IIIT Bangalore and Amrita University. He has many impactful publications in Electronic Design Automation with one of them winning the 2003 Pat Goldberg Memorial Best Paper Award from IBM Research. Srinath holds a B.Tech(Hons.) in Computer Science and Engineering from the Institute of Technology, Banaras Hindu University, Varanasi (now IIT Varanasi), M.Sc(Engg) in Computer Science from the Indian Institute of Science, Bangalore and Ph.D in Electrical Engineering from Eindhoven University of Technology in the Netherlands. Srinath's current research and teaching interests lie in the areas of machine learning, deep learning and mathematical optimization.

Prof. Rajavadhana

Prof. Rajavadhana is an Assistant Professor in the Department of Computer Science ...

Prof. Rajavadhana is an Assistant Professor in the Department of Computer Science and Information Systems at Work Integrated Learning Programmes division of BITS Pilani, India since 2016. Prior to joining BITS, she was with PSG College of Technology as Assistant Professor in the Department of Computer Science. She has over 3 years of industrial experience in the field of Enterprise Application Integration as a developer and a consultant in the BFSI domain with HCL Technologies and Larsen & Toubro Infotech. She received her B.E. & M.E. degree in Computer Science and Engineering from Anna University and MBA in Human Resource from Indira Gandhi Open University. Her research interests are in the fields of Graphs, Computer vision and computational Intelligence. She teaches courses in the area of Data Technologies and Intelligence domain.

Prof. Akanksha Bharadwaj

Prof. Akanksha Bharadwaj is an Assistant Professor and coordinator of the WILP pro...

Prof. Akanksha Bharadwaj is an Assistant Professor and coordinator of the WILP programs running with our industry partner CISCO. She is based out of the Bangalore location. Akanksha has worked for around 3 years as a Business Technology Analyst at Deloitte. She did her B.Tech in Computer Science from Bharati Vidyapeeths' college of engineering, Delhi, and M.tech from Delhi Technological University, Delhi. She teaches courses in the area of software architecture, databases, data mining, and statistics.

Prof. Vineet Garg

Prof. Vineet Garg is an assistant lecturer with BITS Pilani WILP. He has a postgra...

Prof. Vineet Garg is an assistant lecturer with BITS Pilani WILP. He has a postgraduate degree in computer science from BITS Pilani. In WILP he takes courses like Computer Networks, Network Security and Data Structures.

Dr. Lucy J. Gudino

Dr. Lucy J. Gudino received her B.E. degree in Electronics and Communication Engin...

Dr. Lucy J. Gudino received her B.E. degree in Electronics and Communication Engineering from Kuvempu University in 1994, M.Tech. and Ph.D. degrees in Computer Science and Engineering from Visvesvaraya Technological University, Karnataka, India, in 2003 and 2010 respectively. She is currently an Associate Professor with the Computer Science and Information Systems group, at BITS Pilani’s Work Integrated Learning Programmes Division. She has over 24 years of teaching experience in the field of Electronics and Communications, and Computer Science. She is a Programme Committee lead for WILP’s Computer Science and Information Systems and is involved in the design and delivery of curriculum, digitization of course and lab contents. Her research interests include Wireless Networks (Wireless Sensor Networks and Adhoc Networks), Array Signal Processing and Digital filter design. She has guided 6 PhD scholars in the areas of Wireless Sensor Networks, Wireless Adhoc Networks and Antennas for wireless applications.

Dr. Anindya Neogi

Dr. Anindya Neogi is an Associate Professor with the Work Integrated Learning Prog...

Dr. Anindya Neogi is an Associate Professor with the Work Integrated Learning Programmes, BITS Pilani. He has PhD and MS, Computer Science from State University of New York at Stony Brook and B.E. (Computer Sc. and Engg.) from Jadavpur University. After PhD, he has worked at IBM Research and subsequently IBM Software Labs for 16 years as a Research Lead for Distributed Systems Management group and Chief Architect of new products on Operations Analytics in the IBM Cloud division, respectively. Anindya was an IBM Master Inventor with 27+ issued patents responsible for IP development across IBM teams. He was also an elected Member of the IBM Academy of Technology. He has 25+ research papers with 3000+ citations. His work on virtualisation management in 2008 was awarded an ACM Middleware 10 year Test of Time award in 2018. Anindya has also worked at Rether Networks, a start-up in Berkeley, CA on real-time networks, besides a short-stint at Cadence Design Systems. Recently, he was Co-Founder and CTO of a start-up in the Cloud-based data analysis space, an initiative that he continues to mentor. He currently teaches courses in Big Data and Distributed Computing areas.

Dr. Y V K Ravi Kumar

Dr Y V K is an Associate Professor with the Compute Science and Information System...

Dr Y V K is an Associate Professor with the Compute Science and Information Systems group of Work Integrated Learning Programmes Division, BITS - Pilani. He did his M.Sc (Applied Mathematics) from Sri Venkateswara University, A.P and PhD from Osmania University, Hyderabad. He Qualified CSIR JRF/NET examination. He has published about 50 research papers in various national and international journals. Two students have been awarded PhD under his guidance.

In addition to 25 years of teaching experience, he also worked as Group 1 gazetted officer (State Civil Services) in the Ministry of Finance, Government of A.P.

As a faculty with WILP, he teaches courses like Introduction to Statistical Methods, Advanced Statistical Techniques for Analytics, Data Mining and Machine Learning for various programmes.

Prof. Chennupati Rakesh Prasanna

Prof. C Rakesh Prasanna is working as an Assistant Professor with the Compute...

Prof. C Rakesh Prasanna is working as an Assistant Professor with the Computer Science and Information Systems group of Work Integrated Learning Programmes Division, BITS Pilani. he has 10 years of experience in academia. Before joining work-integrated learning programs, he was faculty at the BITS Pilani Hyderabad campus.He has been actively involved in industry engagement, content development, and delivery of course content He holds an M.Tech GITAM University Vishakapatnam. He teaches courses in the area of Algorithms, Artificial Intelligence. Another area of interest includes machine learning.

Prof. Swarna Chaudhary

Prof. Swarna Chaudhary is an Assistant Professor in CSIS department at Work I...

Prof. Swarna Chaudhary is an Assistant Professor in CSIS department at Work Integrated Learning Programmes, BITS Pilani. She has more than 10 years of teaching and industry experience. She did her B.Tech from BIET Jhansi, a Government college affiliated to UPTU and M.Tech from DTU (earlier DCE), Delhi. Prof. Swarna Chaudhary has contributed towards designing digital content for Big Data Engineering Program (in collaboration with Upgrad), Full Stack engineering certificate programme, and IDS (Introduction to data science) course. Her research and teaching interests are in the domain of Machine Learning and Data Science

Prof. Preeti N G

Prof. Preeti NG is an Assistant Professor in the Department of Computer Science an...

Prof. Preeti NG is an Assistant Professor in the Department of Computer Science and Information Systems at Work Integrated Learning Programmes division of BITS Pilani, India since Jan 2014. Prior to joining BITS, Prof Preeti has worked in CMRIT, HKBK Bengaluru and MGIT Hyderabad as an Assistant Professor. She has an overall experience of 16+ years in Academics and Software Industry. She has earlier worked as a Software Engineer in Misys Software Solutions for about 2.5 years and as a Research Intern for an year in Intel India Software Technologies. She received her B.E. & M.Tech. in Computer Science and Engineering from Bangalore University and VTU respectively . She is passionate about teaching and strongly believes in the motto “Teaching is learning”.She has received excellent feedback for all the courses from her students and takes it to be her biggest driving force and source of satisfaction. Her research interests are in the fields of Data Mining, Machine Learning, Image Processing and Statistics. Professor Preeti has been a part of the Computer Science and Information Systems group of WILP and is involved primarily in delivery of courses in the areas of Data Technology, Intelligence and Applied Mathematics. Professor Preeti has been the Program Coordinator of Wipro, WASE programs for about 3 years since 2014 and has been coordinating SAP Labs specific MTSE program after that.

Dr. Jyotsana Grover

Dr. Jyotsana Grover is an Assistant Professor with Work Integrated Learning Progra...

Dr. Jyotsana Grover is an Assistant Professor with Work Integrated Learning Programmes, BITS Pilani. She did Ph.D, M.Tech.(Computer Applications) and M.Sc(Maths) all from IIT Delhi. She has published various papers in renowned international journals like Applied soft computing, Applied Intelligence, Pattern Recognition letters, Engineering applications of Artificial Intelligence.

Subjects Handled:

• Artificial Intelligence
• Advanced data mining
• Introduction to Data Science
• Big Data Systems

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B.E. Computer Science Engineering

• CS F211 Data Structures & Algorithms 
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• BITS F453 Computational Learning Theory 
• BITS F454 Bio-Inspired Intelligence: Algorithms and Applications 
• BITS F463 Cryptography 
• BITS F464 Machine Learning 
• BITS F465 Enterprise Computing 
• BITS F466 Service Oriented Computing 
• CS F314 Software Development for Portable Devices
• CS F315 Information and Communication Technologies and Development 
• CS F316 Quantum Architecture and Programming 
• CS F317 Reinforcement Learning 
• CS F320 Foundations of Data Science 
• CS F401 Multimedia Computing 
• CS F402 Computational Geometry 
• CS F407 Artificial Intelligence 
• CS F413 Internetworking Technologies
• CS F415 Data Mining 
• CS F422 Parallel Computing 
• CS F424 Software for Embedded Systems 
• CS F425 Deep Learning 
• CS F426 Graph Mining 
• CS F427 Performance Analysis of Computer Networks 
• CS F428 Special topic in Computer Science 
• CS F429 Natural Language Processing 
• CS F441 Selected Topics from Computer Science 
• CS F444 Real Time Systems 
• CS F446 Data Storage Technologies and Networks 
• CS F468 Information Security Project 
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• CS G519 Social Media Analytics 
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• IS F311 Computer Graphics 
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M.E. Software Systems

• CS F 415 Data Mining 
• SS G514 Object Oriented Analysis and Design 
• SS G515 Data Ware Housing 
• SS G562 Software Engineering and Management 
• SS G653 Software Architecture 
• BITS G553 Real-Time Systems 
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• CS F428 Special Topic in Computer Science 
• CS F441 Selected topics from Computer Science Data Storage & Networks 
• CS G523 Software for Embedded Systems 
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• CS G526 Advanced Algorithms and Complexity 
• CS G541 Pervasive Computing 
• CS G553 Reconfigurable Computing 
• CS G568 Network Security Project 
• CS G612 Fault Tolerant System Design 
• CS G623 Advanced Operating Systems 
• SS G513 Network Security 
• SS G519 Social Media Analytics 
• SS G520 Advanced Data Mining 
• SS G527 Cloud Computing 
• SS G551 Advance Compilation Techniques 
• SS G552 Software Testing Methodologies 
• SS G554 Distributed Data Systems

PhD. Computer Science Engineering

Dr. S. Vadivel

  Cloud computing, Web services

Dr. B. Vijayakumar

  Distributed Data Systems, Multimedia Systems

Dr. Sujala D. Shetty

  Big Data,Artificial Intelligence

Dr. Raja Muthalagu

  Wireless Communication, IoT, Network   Security

Dr. Siddhaling Urolagin

  Document image analysis, Pattern recognition,   Bioinformatics

Dr. J. Angel Arul Jothi

  Image processing, Pattern Recognition, Data   Mining

Dr. Razia Sulthana

  Machine Learning, Ontology, Recommendation   System, Fuzzy Rules

Dr. Rahul Chegot Sankaramenon

  Graph Theory, Algorithm Analysis,   Combinatorics

Dr. Tamizharasan Periyasamy

  Multi-core Architectures, High-Performance   Computing, Deep Learning

Dr. Pranav M pawar

  Wireless Communication, Machine & Deep   Learning, IoT, Network Security, Bioinformatics

Dr. Pramod Gaur

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STEP UP YOUR POTENTIAL 3.0 – REPORT

The Department of Electrical and Electronics Engineering at the BITS Pilani Dubai campus has successfully hosted the national competition “Step Up Your Potential 3.0” for students in grades 9–12 as an outreach activity on May 7, 2024. Eleven teams were selected from applications submitted by schools around the United Arab Emirates. 

The Director, Senior Professor Srinivasan Madapusi, honoured the occasion with his presence, delivering a keynote speech and imparting inspirational advice to the aspiring young budding future engineers.

The event's organizer, Prof. R. Swarnalatha, Deputy Head of the EEE Department, gave an inspiring welcome address and complimented the teams for exhibiting their passion through ideas and innovations. 

The Communications Manager, Ms. Anuradha Srinivasan, highlighted BITS Pilani Dubai Campus, its unique programmes, internships, and admission modalities.

The Department Head, Prof. V Kalaichelvi, provided information about the EEE programmes, lab infrastructure, association and club activities, student achievements, and alumni information. 

The organising team Prof Sunil Thomas and Prof Shazia Hasan were thrilled to conduct this event. The judges for the competition, Prof. Jagadish Nayak, Prof. Abdul Rajak, and Prof. Vilas Gaidhane, were astonished by the ideas and innovations that the school students delivered. They provided  constructive suggestions and valuable feedback.

WINNERS LIST

The first place was secured by Delhi Private School Sharjah: Daranidharan Neelagandan and Abdul Mujeeb. The team members received a winner's certificate, a trophy, and a cash prize of AED 2500 for a team.

Two schools tied for second place. 1. Delhi Private School Sharjah: Abdullah Kazi, Lakshya Sandeep, and Zara Zaman and 2. Gems Modern Academy: Aditya Kashyap and Shreyram Seetharaman. The team members received winner’s certificates and a cash prize of AED 1500 per team.  

Two schools again won third place. 1.Delhi Private School Sharjah: Shriya Nambiar and Ayaana Behlim and 2. Gems Our Own Indian School: Navya Verma,Theyjashri Koomidi Saravaan, Anwitha Magesh and Hana Rayan. The team members received winner’s certificates and a cash prize of AED 1000 per team.

A huge thanks to the student team consisting of Aaditi Rammohan [II year EEE], Calder Savio Zuzarte [II year EEE], Kerina Antony [II year EEE], Levita Kris [II year EEE], Nandana Reji [II year EEE] and Nashita Shakeel [II ECE] for going out of their way in making this event a huge success. 

BITS Pilani Dubai Campus wishes all the winners!

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