phd data science india

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• Last updated January 7, 2024
• In AI Trends & Future

Check Out These 5 Indian Institutes Offering A PhD In Data Science

• Published on February 13, 2019
• by Disha Misal

Data Science has become popular in India. Many people are shifting their careers from different fields to data science and AI. A PhD in data science is very demanding and is considered extremely prestigious. India is realising its importance in industries and now has several institutes offering a PhD in data science.

Table of contents

1. indian statistical institute (isi) :, 2. iit gandhinagar :, 3. iisc bangalore :, 4. iit delhi :, 5. bits pilani :.

Here are some institutes that currently have their applications open for a PhD in India.

The PhD program at ISI provides the students with an exceptional academic environment through a variety of educational and research opportunities. The internationally recognized faculty members actively work in several exciting research areas. PhD students are expected to publish papers in conferences and journals of international repute and are encouraged to collaborate with researchers all over the world, travel to conferences and training programs, and have internships with leading government and industry research labs. ISI has a unique opportunity for outstanding students to apply to the PhD program directly after the completion of their Bachelor’s degree. It also offers a unique flexibility in accepting students without the need for an undergraduate/postgraduate degree in computer science.

The online application has been started on 5th of February and the deadline is on 12th of March. They have their own admission test which will be on 12th of May. You can find the exam and admission details here .

IIT Gandhinagar, under its computer science engineering department is offering specialisation in data science PhD. Specialisations are open in the area of Data science, machine learning, NLP, game theory, data mining. Admission is offered on the basis of an interview, which is supplemented by a written test if necessary. The Institute invites a limited number of candidates for a written test and interview based on the academic records, statement of purpose. The final selection will be mainly based on academic credentials, written test and/or interview.

Application Deadline for a PhD at IIT-Gandhinagar this year is 12th February. Written Tests and/or Interviews will be held sometime around 15-17th March. Here are the details.

IISc has a department dedicated to data sciences called the Department of Computational and Data Sciences (CDS) that offers research-based degree programs. The research programs are M.Tech. (Research) and Ph.D. The Ph.D program at CDS is the flagship program of the department, and it is these doctoral programmes that have helped IISc secure the rank as top university and top academic institution in India. The Ph.D. students contribute the most to the success of the Institute.

PhD admission involves a written test followed by and interview of the shortlisted candidates. The applications start in October every year. Here are the details.

IIT Delhi has a research group called Data Analytics and Intelligence Research ( DAIR ), under the department of Computer Science Engineering, which deals with data. It is focused on combining and integrating various fields of data sciences such as machine learning, data management, and data mining towards the goal of building intelligent software systems. They are involved in NLP, statistical relational learning, social network analytics and crowdsourcing. They have various data science and ML specialisations like Algorithms and Complexity Theory, AI and ML, Databases and Data Analytics, Architecture and Embedded Systems, Graphic and Vision, and many others.

Here are the details.

BITS Pilani Goa campus provides a PhD course with a specialised subject as data science. They select candidates based on a test followed by an interview. They also have a part-time PhD program for people working in reputed research organisations, academic institutes and industries, situated close to the vicinity of one of the campuses of BITS Pilani.

The registrations generally start in the month of December every year. You can find the details here .

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The Doctor of Philosophy programme in Data Science is a distinctive offering that integrates principles from Computer Science, Statistics, and Mathematics. Given the pivotal role of data science and its computational models in decision-making processes across various domains, it has become a highly sought-after field in research, academia, and industry. The Department of Computer Science is dedicated to delivering a comprehensive curriculum that seamlessly combines theoretical research with practical applications in the realm of data science.

This programme is designed to cultivate dynamic researchers capable of designing sophisticated mathematical and statistical models for extracting knowledge from data. By fostering a blend of creativity and innovation, students are equipped with the skills to address complex data research problems, showcasing intellectual excellence in the fields of Computer Science, Mathematics, and Statistics..

Why choose this course?

Integrates Computer Science, Statistics, Mathematics principles for a comprehensive skill set.

Applies data science for real-world impact in diverse domains.

Highly sought-after in research, academia, and industry.

Department ensures a rich curriculum merging theory with practice.

Cultivates dynamic researchers in advanced modeling techniques.

Fosters creativity and innovation in addressing complex data problems., what you will learn.

• Master principles of Computer Science, Statistics, and Mathematics for a holistic understanding.
• Develop expertise in applying computational models to drive decision-making across diverse domains.
• Acquire sought-after skills in data science, relevant in research, academia, and industry.
• Navigate a comprehensive curriculum, seamlessly integrating theoretical research with practical applications.
• Cultivate proficiency in designing advanced mathematical and statistical models for effective data extraction.
• Foster creativity and innovation, enabling the adept resolution of complex data research challenges.

Career prospects

• Unlock diverse career paths in research, academia, and industry with sought-after data science skills.
• Attain leadership roles, leveraging expertise in Computer Science, Statistics, and Mathematics.
• Contribute to decision-making processes across domains with advanced computational modeling skills.
• Navigate dynamic roles in data analysis, research, and innovation, shaping the future of technology.
• Excel in academia, becoming a thought leader with intellectual prowess in data science disciplines.
• Drive innovation in Computer Science, Mathematics, and Statistics, making a lasting impact in diverse sectors.

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CCDS offers a PhD program where the student is expected to conduct original research in the area of computational science or data science under the guidance of CCDS faculty. Typical duration for the award of PhD degree is five years from the date of enrollment. For details on eligibility requirements for admissions to PhD programme and other information, please (click here)

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Ph.D. in Data Science and Technology |

With data being recognized as the new oil for organization, it provides large scope for the research scholars to explore and propose new digital models that will provide insights for the organisations to transform their businesses. The most important aspect of any computer application and framework is the manner in which both structured and unstructured data are stored, retrieved and analysed to better predict the outcomes.

Data Science has evolved as cross-functional management science that encompasses designs and use of algorithms, employing systematic and scientific methods to extract knowledge, create new models for effective and efficient decision-making. Information is recognized as a Business Resource (IaBR) that supports all the stages of decision-making.While automation and digitization of routine processes has matured over the years, the businesses are exploring new avenues for transforming their business processes by leveraging the digital technologies.

Businesses have to either foster Technology-Enabled Disruptive innovations or will gradually perish is the new mantra for survival.Big Data and Machine Learning applications, Business Intelligence and Artificial Intelligence, Data mining and Visualisation, Internet of Things and Embedded Systems are the new terms that an organisation wants to get associated with and are willing to encourage research and adopt new solutions in these areas. Digitisation leading to Digitalisation is the key strategy for the future of businesses. Thus, some of the focus areas for scholars could be in line with: Information Technology enabled cross-functional applications and Decision Making Big Data Analytics, IoT, Web-based applications and analytics Networking, Technology and Framework adoption, E-Services, Cyber Security Digital interventions and its impact on cross-functional processes Diffusion, M-Commerce, E-Learning, E-Governance, ICT applications, Digital Transformation

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PhD Admissions

Phd admissions july 2024, phd admissions january 2024.

May 20, 2023: Candidates shortlisted for written test has been informed though their regsitered email. Please check your spam folder also.

May 09, 2023: Candidates shortlisted based on the written test performance will be called for interviews at IITH campus. The interviews will be held on the 9th June 2023. Requests for online interviews will not be considered.

May 09, 2023: The online written test for the PhD program will be held on 27th May 2023, from 10 am. Details about the modalities of the test will be informed to the shortlisted candidates by email. Shortlisting is currently under progress, and is expected to be completed by early next week.

PhD Admissions July 2023

The Department of AI at IIT Hyderabad helps in creating a complete ecosystem for AI Academics and Research at IIT Hyderabad. The department offers B.Tech, M.Tech. and PhD programs (full time and part time). The emergence of the department is the consequence of the heavy demand from the industry on artificial intelligence and data analytics, and the need to tackle the many fundamental and foundational research problems arising in a rapidly evolving field. The department's mission is to

• Train students to have a sound understanding of the fundamentals of the theory and practise of Artificial Intelligence and Machine Learning.
• Enable students to become leaders in the industry and academia nationally and internationally
• Meet the pressing demands of the nation in the areas of Artificial Intelligence and Machine Learning.

The Department of Artificial Intelligence has a sizable number of highly dedicated and dynamic faculty members, with a wide variety of expertise. Faculty publishes regularly in top AI conferences and journals such as NeurIPS, ICML, AAAI, IJCAI, CVPR, ICCV, ACL, EMNLP, AAMAS, JMLR, TIP, TACL etc. Currently there are 29 faculty members affiliated with the AI department. Candidates can discover the profiles and teaching/research areas of different faculty members by visiting Faculty Profiles

The PhD students will be provided with excellent laboratory facilities that they can access at any time. The laboratories are equipped with state-of-the-art facilities including software and hardware (including high-end DGX servers and other GPU servers).

The Department of AI seeks talented and dedicated PhD students to develop highly skilled human resources who can contribute to modern and cutting edge research in AI.

Eligibility Criteria for Application to the PhD program:

The Eligibility criteria for regular PhD program is MTech/Equivalent Degree in CS/ECE/EE or related areas in Artificial Intelligence. The applicant must have already earned the Master's degree, or should at least be in the final year of the respective pro-gram. In the latter case, it would be assumed that the candidate will be able to complete the degree by the time of admission into the PhD program. Candidates with MSc/MCA/equivalent PG degree with an EMDS at IIT-H may apply for Regular PhD program.

The Department of AI considers Direct-PhD admission , where the eligibility criteria is BTech/BE/MCA/MSc/Equivalent Degree in any engineering discipline or Maths, and have a valid GATE score in CS/EC/EE/MA/ST. Candidate with BTech/BE/MCA/MSc/Equivalent Degree in any engineering discipline or Maths from any Centrally Funded Technological Institutes (CFTI), with CGPA 9 or above can apply without a valid GATE score (For candidates from IITs/NITs/IIITs this is relaxed to CGPA 8 or above).

The Department of AI also considers Direct-Phd admission , where the eligibility criteria is BTech/BE/MCA/MSc/Equivalent Degree in any engineering discipline or Maths, and have a valid GATE score in CS/EC/EE/MA/ST. Candidate with B.Tech/M.Sc in any engineering discipline or Maths from any Indian Institute of Technology (IIT), with CGPA 8 or above can apply without a valid GATE score

Department also admit students to the part time PhD program . Part time PhD program have the same eligibility criteria listed above and in addition the candidate must be employed with a relevant employer at the time of application and admission.

For admission to the program, there will be a preliminary shortlisting depending upon the academic background. Candidates who satisfy the shortlisting criteria need to appear for a written test and/or an interview. The shortlisting criteria could be higher than the eligibility criteria. In addition, the department also reserves the right to set any cut off criteria for shortlisting the candidates and not to select anybody if no appropriate candidates are found.

IIT Hyderabad has a centralized online application portal for the PhD admission. Candidates are requested to visit IITH PHD Admissions for the application format and the submission link. Candidates applying for any of the PhD program are requested to submit their application through the portal. For other related information, such as last date of application, shortlist announcement, written test and interview dates, please visit https://ai.iith.ac.in/phd-admissions.html

For any query, kindly write to​ ​[email protected]

MS & PhD

IIT Palakkad offers two research programmes, Master of Science (2 years) and PhD (5 Years) in the area of Data Science, which is organised by the department. It has a vibrant research community with scholars and faculty, working on various aspects of data science, including machine learning, data mining, big data analytics, and computer vision. We focus on developing advanced algorithms and prototypes that are used to tackle challenging real- world problems in various domains such as healthcare, agriculture, and transportation. We also collaborate with industry partners and other academic institutions to bring their cutting-edge research to bear on practical applications. 

Our research community broadly covers the following core research areas:

• AI and Machine learning: Kernel Learning, Multiview Learning, Robust Optimization and Convex Optimization for Large Data, Anomaly Detection in Time Series, Privacy-aware Learning, Bayesian Model.  
• Systems for AI: Computer Vision, Architecture for Deep Learning, Energy-efficient and High-performance Systems for Multimedia Applications, Energy-aware Algorithms for Signal Processing to efficient architecture design,  Low-power VLSI circuit implementation.  
• Information Retrieval and Natural Language Processing: Harvesting Knowledge from Text and Web Tables; Knowledge Base Curation,  Question-Answering, Building Smart Indices for Efficient Similarity Search.  
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Research Admission July 2023 is open now. Please visit the portal to apply. 

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Ph.D Data Science at IISER Pune Offline Course

Quick facts, fees details, course details.

The PhD programme at IISER Pune is a blend of classroom curriculum, mentoring under-graduate students along with a major research component. The research scholars are expected to complete at least 16 credits of coursework within the first two semesters followed by a comprehensive examination to assess the student’s candidacy for PhD. They must deliver a departmental seminar and undertake tutoring activities in at least three courses (theory and/or laboratory courses). In the first two years, the student will receive a Junior Research Fellowship (JRF). Upon the successful completion of the comprehensive examination and two years of JRF, the student will be eligible to receive a Senior Research Fellowship (SRF) for a maximum of another three years. The research progress of the student will be monitored on a yearly basis by a Research Advisory Committee (RAC) involving the thesis supervisor (Convener) and two other faculty members. Upon completion of satisfactory research work (as construed by the RAC), the research scholar will deliver a research seminar regarding their work before the submission of thesis. The submitted thesis will be evaluated by external examiners before the conduct of viva-voce. Successful open defense of the thesis will lead to award of PhD degree during the annual convocation.

Eligibility Criteria

Minimum 60% marks in aggregate (overall percentage; not only in the majoring subject) or an equivalent C.G.P.A on a 10-point scale (55% or an equivalent C.G.P.A in aggregate for SC, ST, and Specially abled candidates PD/VH) in Master’s degree or a four-year Bachelor’s Degree like B.E., B.Tech, B.S. or equivalent in Mathematics, Statistics, Computer Science, or related branches.

 If a candidate has successfully completed a 4-year bachelor's degree (e.g., BS, B.Tech), it is appropriate to indicate "Not Applicable" in the Masters field, denoting that the candidate has not pursued a master's degree.

Admission Details

The candidate must have at least one of the following qualifications:

i. Qualified a national eligibility exam such as CSIR-JRF, UGC-JRF, DBT-JRF-A, DBT-BINC-JRF, JEST, NBHM, GATE, JGEEBILS, etc. The corresponding score/selection/award letter must be valid for the August 2024 session.

ii. INSPIRE-PhD fellowship (should be in possession of provisional selection letter at the time of Interview).

iii. BE/BTECH or BS-MS/Masters students from any of the Institutes of National Importance with a CGPA 8 or above on a 10-point scale are exempted from national-level test eligibility related criteria.

Shortlisted candidates will be selected for admission to the PhD programme through a rigorous evaluation process that includes an interview by a selection committee. 

Other Popular Courses in this College

Other popular universities offering this course, sant gadge baba amravati university, amravati.

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Mahatma Phule Krishi Vidyapeeth, Rahuri

Tata institute of fundamental research, mumbai, kavayitri bahinabai chaudhari north maharashtra university, jalgaon, maharashtra animal and fishery sciences university, nagpur, popular certification, data science ethics.

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BITS Pilani is a Deemed to be University, offering on-campus programs to more than 18,500 students across its campuses in Pilani, Goa, Hyderabad, Mumbai and Dubai.It has been recognized as an Institute of Eminence by the Ministry of Education, Government of India in 2020.

QS World University Subject Rankings 2024 has ranked BITS Pilani globally at

• 101-150 in Pharmacy and Pharmacology
• 301-350 in 4 subjects namely, EEE, Computer Science, Mechanical and Chemical Engineering
• 451-500 in 3 subjects, namely, Mathematics, Business & management Studies and Physics & Astronomy
• 501-550 in Chemistry

In ǪS Asia University Rankings 2024, BITS has been ranked 215th in Asia and at 22nd in India. Further, BITS Pilani has been ranked among the top 300 in ǪS World University Graduate Employability Rankings 2022 and within top 6 in India.

Having pioneered several curricular and pedagogic attributes, BITS Pilani has a vision to be amongst the top research-led Institutes in the country. The qualities of innovation, enterprise, commitment to excellence, adherence to merit, and transparency, have characterized the Institute during its inexorable march to eminence.

The Institute has secured over Rs 398 crores as external research funding in the last 5 years. State of the art facilities have been developed to support cutting edge research, led by students and about 930 faculty members, leading to a Scopus h-index of 156, with 221 patents filed so far, and 41 patents granted. Currently, there are 14 BITSian Unicorns and 1 Decacorn. There are over 7500 BITSian founders and co-founders of enterprises.

Doctoral Programme (Ph.D.)

List of Candidates shortlisted for Ph.D. Admission Test and/or Interview is now available

Admissions portal open 01st march 2024.

Please click here for more information.

List of Candidates shortlisted for Ph.D. Admission Test and/or Interview is now available.

• CLICK HERE to know the Result.

Department preference with regard to the full-time and part-time Ph.D student admission is given in the table below.

Yes – A Department intends to admit students under the specified mode. No – A Department does not intend to admit students under the specified mode.

Minimum Eligibility Qualifications

ME / MTech / MPharm / MBA / MPhil (minimum of 60% aggregate)* MSc/BE/BPharm or an equivalent degree (minimum of 60% aggregate)* For admission into Humanities and Social Sciences, MA degree (minimum of 55% aggregate)* For part-time applicants, a minimum of one-year experience in the related field of study is required

[*In the Qualifying Degree examination]

In addition, Departments may set specific admission criteria for shortlisting. Meeting the minimum eligibility qualifications does not guarantee admission into the PhD program. Shortlisted candidates will have to appear for an admission test, which may comprise a written exam and/or interview. Information on specific Departments and related research activities is available on the Department homepage of respective campuses.

Full-time students

Preferably individuals who would like to pursue PhD in-house, residing on campus.

Part-time students

Preferably individuals who are working in organizations providing basic facilities and an environment for research.

Financial Assistance

Full-time PhD students admitted into the PhD program are eligible to be considered for an Institute fellowship of Rs. 34,000 or Rs. 37,000 per month in the first year based on their qualifications at the time of admission. Students admitted with M.E./M.Tech./M.Pharm./MBA/M.Phil. or an equivalent Degree are eligible to receive an Institute fellowship of Rs. 37,000/-. Students admitted with M.Sc./B.E./B.Pharm. or an equivalent degree are eligible to receive an Institute fellowship of Rs. 34,000/-. These students on successful completion of coursework will receive Rs. 37,000/- from the Semester following the one in which the course work was completed Higher fellowship may be made available in subsequent years. Consideration for Institute fellowship will be as per Institute norms. It will be obligatory on the part of every admitted full time student to undertake 8 hours (per week) of work as assigned to him/her by the institute.

Important Dates

The Institute reserves the right to change the above deadlines. Candidates will be informed in advance should there be such a change.

Department Brochures

Pilani campus – biological sciences, pilani campus – chemistry, pilani campus – chemical engineering, pilani campus – civil engineering, pilani campus – electrical & electronics engineering, pilani campus – humanities and social sciences, pilani campus – physics, pilani campus – mechanical engineering, goa campus – biological sciences, goa campus – chemistry, goa campus – computer sciences, goa campus – electrical & electronics engineering, goa campus – humanities and social sciences, goa campus – mathematics, goa campus – mechanical engineering, hyderabad campus – biological sciences, hyderabad campus – chemical engineering, hyderabad campus – chemistry, hyderabad campus – civil engineering, hyderabad campus – computer sciences, hyderabad campus – electrical & electronics engineering, hyderabad campus – humanities and social sciences, hyderabad campus – mathematics, hyderabad campus – mechanical engineering, hyderabad campus – pharmacy, top resources.

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PhD in Data Science

• Updated on  
• Dec 6, 2023

If you’re interested in working independently in research fields after completing a master’s in mathematics, statistics , science, etc, then pursuing a PhD may be the right choice for you. It offers many reputed career choices along with satisfaction. The field is continuously growing and top companies Microsoft, Wipro, HCL, etc, are demanding data science graduates. So, read about PhD in Data Science to know about the course, its duration, after options, salary, top recruiting companies, and more.

This Blog Includes:

What is a phd in data science, eligibility criteria, list of top universities offering phd in data science abroad, universities offering phd in data science in india, researchers , college professors , senior data scientist, business analysts, machine learning professionals, average salary for phd graduates, top companies hiring data science graduates.

A PhD in Data Science gives students an edge and provides them with relevant knowledge in the fields like AI, Statistics, Machine Learning , Data Analysis, and the list goes on. Like all other PhD-level courses, it enables students to work independently in research fields and helps them apply both their practical and theoretical knowledge in data models.

Also Read: Fully-Funded PhD Programs

A PhD in Data Science has emerged as one of the leading courses as it enhances the career prospects of the candidates providing them with research and in-depth academic knowledge. Different universities have different specific criteria for admission that has to be met by the candidates. The basic eligibility requirements are given below:

• Candidates willing to pursue a PhD in Data Science and related courses must have a master’s degree in related fields like computer science, Statistics, Mathematics, etc
• Some universities have their own entrance exam for PhD level courses
• Marks scored by the candidate in related entrance examinations such as GATE, UGC-NET, CSIR-UGC-NET, etc are also considered for the admission process and these candidates are exempted from giving university entrance exams. But these candidates have to undertake a research skill assessment test. (Only valid for Indian Universities)
• Some colleges also take personal interviews and written tests in shortlisting candidates.
• English test scores of exams like IELTS / TOEFL etc (Only valid for foreign universities)
• Candidates require a set of documents like a 10th Marksheet, 12th Marksheet, Bachelor’s Degree & Marksheets, and Master’s Degree & Marksheet.

Book a FREE session with Leverage Live to ace your English proficiency tests like IELTS, TOEFL, PTE, and more!

When applying abroad it’s always wise to know your options beforehand! Sometimes choosing the right university for you might look like a daunting task.

The following are the top universities in India offering PhD in Data science:

Must Read: How to Write Acknowledgement for Dissertation?

Career Choice after PhD in Data Science

The following are the top career choices after PhD in Data Science:

Researchers conduct their research in an organized and systematic way. They are responsible for communicating their research honestly and ethically. Also, they transfer and exploit their knowledge for the betterment of employees, the environment, and society as a whole and also collaborate with others whenever necessary. 

A data science college professor is expected to design, develop and teach courses in the Data Science domain and related areas. Sometimes, they engage in exploring new methodologies and technologies through research. Also, they mentor and supervise students in their projects and internships too.

A senior data scientist engages in formulating, suggesting, and managing data-driven projects which are in favour of business interests. They also collate and clean data from various entities in order to help their junior data scientists . 

Business analysts help organizations in improving their processes and systems. They conduct research and analysis to solve business problems and introduce solutions to businesses and their clients. 

A machine learning professional is an expert in using data to train models. These models are used to automate processes like image classification, market forecasting, speech recognition etc. 

The average salary in Data Science after doing a PhD can range from Rs 70-75 Lakhs per annum. With more experience, it can be raised to Rs 1 Crore or more. Although it depends on what career path you are choosing and in which state or country you are employed.

Must Read: What is a PhD Stipend?

• Thomson Reuters 

Yes definitely! You can prove to be a leader in the field by doing a PhD in Data Science. And also, a PhD in Data Science also has a higher return on investment as compared to other data science master’s programs.

A PhD in Data Science takes around 4-5 years depending on the university and country you’re pursuing from.

Researcher, college professor, machine learning professional, senior data scientist, and business analyst are some of the positions you can opt for after completing your PhD in Data Science. 

We hope this blog helps you in understanding all the essential aspects of PhD in Data Science. Aiming to study a similar course or thinking of doing a PhD in another field? Sign up for your free 30 minutes of e-counselling with the Leverage Edu team now!

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PhD in Data Science – Your Guide to Choosing a Doctorate Degree Program

Created by aasif.faizal

Professional opportunities in data science are growing incredibly fast. That’s great news for students looking to pursue a career as a data scientist. But it also means that there are a lot more options out there to investigate and understand before developing the best educational path for you.

A PhD is the most advanced data science degree you can get, reflecting a depth of knowledge and technical expertise that will put you at the top of your field.

This means that PhD programs are the most time-intensive degree option out there, typically requiring that students complete dissertations involving rigorous research. This means that PhDs are not for everyone. Indeed, many who work in the world of big data hold master’s degrees rather than PhDs, which tend to involve the same coursework as PhD programs without a dissertation component. However, for the right candidate, a PhD program is the perfect choice to become a true expert on your area of focus.

If you’ve concluded that a data science PhD is the right path for you, this guide is intended to help you choose the best program to suit your needs. It will walk through some of the key considerations while picking graduate data science programs and some of the nuts and bolts (like course load and tuition costs) that are part of the data science PhD decision-making process.

Data Science PhD vs. Masters: Choosing the right option for you

If you’re considering pursuing a data science PhD, it’s worth knowing that such an advanced degree isn’t strictly necessary in order to get good work opportunities. Many who work in the field of big data only hold master’s degrees, which is the level of education expected to be a competitive candidate for data science positions.

So why pursue a data science PhD?

Simply put, a PhD in data science will leave you qualified to enter the big data industry at a high level from the outset.

You’ll be eligible for advanced positions within companies, holding greater responsibilities, keeping more direct communication with leadership, and having more influence on important data-driven decisions. You’re also likely to receive greater compensation to match your rank.

However, PhDs are not for everyone. Dissertations require a great deal of time and an interest in intensive research. If you are eager to jumpstart a career quickly, a master’s program will give you the preparation you need to hit the ground running. PhDs are appropriate for those who want to commit their time and effort to schooling as a long-term investment in their professional trajectory.

For more information on the difference between data science PhD’s and master’s programs, take a look at our guide here.

Topics include:

• Can I get an Online Ph.D in Data Science?
• Overview of Ph.d Coursework

Preparing for a Doctorate Program

Building a solid track record of professional experience, things to consider when choosing a school.

• What Does it Cost to Get a Ph.D in Data Science?
• School Listings

Data Science PhD Programs, Historically

Historically, data science PhD programs were one of the main avenues to get a good data-related position in academia or industry. But, PhD programs are heavily research oriented and require a somewhat long term investment of time, money, and energy to obtain. The issue that some data science PhD holders are reporting, especially in industry settings, is that that the state of the art is moving so quickly, and that the data science industry is evolving so rapidly, that an abundance of research oriented expertise is not always what’s heavily sought after.

Instead, many companies are looking for candidates who are up to date with the latest data science techniques and technologies, and are willing to pivot to match emerging trends and practices.

One recent development that is making the data science graduate school decisions more complex is the introduction of specialty master’s degrees, that focus on rigorous but compact, professional training. Both students and companies are realizing the value of an intensive, more industry-focused degree that can provide sufficient enough training to manage complex projects and that are more client oriented, opposed to research oriented.

However, not all prospective data science PhD students are looking for jobs in industry. There are some pretty amazing research opportunities opening up across a variety of academic fields that are making use of new data collection and analysis tools. Experts that understand how to leverage data systems including statistics and computer science to analyze trends and build models will be in high demand.

Can You Get a PhD in Data Science Online?

While it is not common to get a data science Ph.D. online, there are currently two options for those looking to take advantage of the flexibility of an online program.

Indiana University Bloomington and Northcentral University both offer online Ph.D. programs with either a minor or specialization in data science.

Given the trend for schools to continue increasing online offerings, expect to see additional schools adding this option in the near future.

Overview of PhD Coursework

A PhD requires a lot of academic work, which generally requires between four and five years (sometimes longer) to complete.

Here are some of the high level factors to consider and evaluate when comparing data science graduate programs.

How many credits are required for a PhD in data science?

On average, it takes 71 credits to graduate with a PhD in data science — far longer (almost double) than traditional master’s degree programs. In addition to coursework, most PhD students also have research and teaching responsibilities that can be simultaneously demanding and really great career preparation.

What’s the core curriculum like?

In a data science doctoral program, you’ll be expected to learn many skills and also how to apply them across domains and disciplines. Core curriculums will vary from program to program, but almost all will have a core foundation of statistics.

All PhD candidates will have to take a qualifying exam. This can vary from university to university, but to give you some insight, it is broken up into three phases at Yale. They have a practical exam, a theory exam and an oral exam. The goal is to make sure doctoral students are developing the appropriate level of expertise.

Dissertation

One of the final steps of a PhD program involves presenting original research findings in a formal document called a dissertation. These will provide background and context, as well as findings and analysis, and can contribute to the understanding and evolution of data science. A dissertation idea most often provides the framework for how a PhD candidate’s graduate school experience will unfold, so it’s important to be thoughtful and deliberate while considering research opportunities.

Since data science is such a rapidly evolving field and because choosing the right PhD program is such an important factor in developing a successful career path, there are some steps that prospective doctoral students can take in advance to find the best-fitting opportunity.

Join professional associations

Even before being fully credentials, joining professional associations and organizations such as the Data Science Association and the American Association of Big Data Professionals is a good way to get exposure to the field. Many professional societies are welcoming to new members and even encourage student participation with things like discounted membership fees and awards and contest categories for student researchers. One of the biggest advantages to joining is that these professional associations bring together other data scientists for conference events, research-sharing opportunities, networking and continuing education opportunities.

Leverage your social network

Be on the lookout to make professional connections with professors, peers, and members of industry. There are a number of LinkedIn groups dedicated to data science. A well-maintained professional network is always useful to have when looking for advice or letters of recommendation while applying to graduate school and then later while applying for jobs and other career-related opportunities.

Kaggle competitions

Kaggle competitions provide the opportunity to solve real-world data science problems and win prizes. A list of data science problems can be found at Kaggle.com . Winning one of these competitions is a good way to demonstrate professional interest and experience.

Internships

Internships are a great way to get real-world experience in data science while also getting to work for top names in the world of business. For example, IBM offers a data science internship which would also help to stand out when applying for PhD programs, as well as in seeking employment in the future.

Demonstrating professional experience is not only important when looking for jobs, but it can also help while applying for graduate school. There are a number of ways for prospective students to gain exposure to the field and explore different facets of data science careers.

Get certified

There are a number of data-related certificate programs that are open to people with a variety of academic and professional experience. DeZyre has an excellent guide to different certifications, some of which might help provide good background for graduate school applications.

Conferences

Conferences are a great place to meet people presenting new and exciting research in the data science field and bounce ideas off of newfound connections. Like professional societies and organizations, discounted student rates are available to encourage student participation. In addition, some conferences will waive fees if you are presenting a poster or research at the conference, which is an extra incentive to present.

It can be hard to quantify what makes a good-fit when it comes to data science graduate school programs. There are easy to evaluate factors, such as cost and location, and then there are harder to evaluate criteria such as networking opportunities, accessibility to professors, and the up-to-dateness of the program’s curriculum.

Nevertheless, there are some key relevant considerations when applying to almost any data science graduate program.

What most schools will require when applying:

• All undergraduate and graduate transcripts
• A statement of intent for the program (reason for applying and future plans)
• Letters of reference
• Application fee
• Online application
• A curriculum vitae (outlining all of your academic and professional accomplishments)

What Does it Cost to Get a PhD in Data Science?

The great news is that many PhD data science programs are supported by fellowships and stipends. Some are completely funded, meaning the school will pay tuition and basic living expenses. Here are several examples of fully funded programs:

• University of Southern California
• University of Nevada, Reno
• Kennesaw State University
• Worcester Polytechnic Institute
• University of Maryland

For all other programs, the average range of tuition, depending on the school can range anywhere from $1,300 per credit hour to $2,000 amount per credit hour. Remember, typical PhD programs in data science are between 60 and 75 credit hours, meaning you could spend up to $150,000 over several years.

That’s why the financial aspects are so important to evaluate when assessing PhD programs, because some schools offer full stipends so that you are able to attend without having to find supplemental scholarships or tuition assistance.

Can I become a professor of data science with a PhD.? Yes! If you are interested in teaching at the college or graduate level, a PhD is the degree needed to establish the full expertise expected to be a professor. Some data scientists who hold PhDs start by entering the field of big data and pivot over to teaching after gaining a significant amount of work experience. If you’re driven to teach others or to pursue advanced research in data science, a PhD is the right degree for you.

Do I need a master’s in order to pursue a PhD.? No. Many who pursue PhDs in Data Science do not already hold advanced degrees, and many PhD programs include all the coursework of a master’s program in the first two years of school. For many students, this is the most time-effective option, allowing you to complete your education in a single pass rather than interrupting your studies after your master’s program.

Can I choose to pursue a PhD after already receiving my master’s? Yes. A master’s program can be an opportunity to get the lay of the land and determine the specific career path you’d like to forge in the world of big data. Some schools may allow you to simply extend your academic timeline after receiving your master’s degree, and it is also possible to return to school to receive a PhD if you have been working in the field for some time.

If a PhD. isn’t necessary, is it a waste of time? While not all students are candidates for PhDs, for the right students – who are keen on doing in-depth research, have the time to devote to many years of school, and potentially have an interest in continuing to work in academia – a PhD is a great choice. For more information on this question, take a look at our article Is a Data Science PhD. Worth It?

Complete List of Data Science PhD Programs

Below you will find the most comprehensive list of schools offering a doctorate in data science. Each school listing contains a link to the program specific page, GRE or a master’s degree requirements, and a link to a page with detailed course information.

Note that the listing only contains true data science programs. Other similar programs are often lumped together on other sites, but we have chosen to list programs such as data analytics and business intelligence on a separate section of the website.

Boise State University  – Boise, Idaho PhD in Computing – Data Science Concentration

The Data Science emphasis focuses on the development of mathematical and statistical algorithms, software, and computing systems to extract knowledge or insights from data.  

In 60 credits, students complete an Introduction to Graduate Studies, 12 credits of core courses, 6 credits of data science elective courses, 10 credits of other elective courses, a Doctoral Comprehensive Examination worth 1 credit, and a 30-credit dissertation.

Electives can be taken in focus areas such as Anthropology, Biometry, Ecology/Evolution and Behavior, Econometrics, Electrical Engineering, Earth Dynamics and Informatics, Geoscience, Geostatistics, Hydrology and Hydrogeology, Materials Science, and Transportation Science.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $7,236 total (Resident), $24,573 total (Non-resident)

View Course Offerings

Bowling Green State University  – Bowling Green, Ohio Ph.D. in Data Science

Data Science students at Bowling Green intertwine knowledge of computer science with statistics.

Students learn techniques in analyzing structured, unstructured, and dynamic datasets.

Courses train students to understand the principles of analytic methods and articulating the strengths and limitations of analytical methods.

The program requires 60 credit hours in the studies of Computer Science (6 credit hours), Statistics (6 credit hours), Data Science Exploration and Communication, Ethical Issues, Advanced Data Mining, and Applied Data Science Experience.

Students must also complete 21 credit hours of elective courses, a qualifying exam, a preliminary exam, and a dissertation.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $8,418 (Resident), $14,410 (Non-resident)

Brown University  – Providence, Rhode Island PhD in Computer Science – Concentration in Data Science

Brown University’s database group is a world leader in systems-oriented database research; they seek PhD candidates with strong system-building skills who are interested in researching TupleWare, MLbase, MDCC, Crowd DB, or PIQL.

In order to gain entrance, applicants should consider first doing a research internship at Brown with this group. Other ways to boost an application are to take and do well at massive open online courses, do an internship at a large company, and get involved in a large open-source software project.

Coding well in C++ is preferred.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $62,680 total

Chapman University  – Irvine, California Doctorate in Computational and Data Sciences

Candidates for the doctorate in computational and data science at Chapman University begin by completing 13 core credits in basic methodologies and techniques of computational science.

Students complete 45 credits of electives, which are personalized to match the specific interests and research topics of the student.

Finally, students complete up to 12 credits in dissertation research.

Applicants must have completed courses in differential equations, data structures, and probability and statistics, or take specific foundation courses, before beginning coursework toward the PhD.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $37,538 per year

Clemson University / Medical University of South Carolina (MUSC) – Joint Program – Clemson, South Carolina & Charleston, South Carolina Doctor of Philosophy in Biomedical Data Science and Informatics – Clemson

The PhD in biomedical data science and informatics is a joint program co-authored by Clemson University and the Medical University of South Carolina (MUSC).

Students choose one of three tracks to pursue: precision medicine, population health, and clinical and translational informatics. Students complete 65-68 credit hours, and take courses in each of 5 areas: biomedical informatics foundations and applications; computing/math/statistics/engineering; population health, health systems, and policy; biomedical/medical domain; and lab rotations, seminars, and doctoral research.

Applicants must have a bachelor’s in health science, computing, mathematics, statistics, engineering, or a related field, and it is recommended to also have competency in a second of these areas.

Program requirements include a year of calculus and college biology, as well as experience in computer programming.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $10,858 total (South Carolina Resident), $22,566 total (Non-resident)

View Course Offerings – Clemson

George Mason University  – Fairfax, Virginia Doctor of Philosophy in Computational Sciences and Informatics – Emphasis in Data Science

George Mason’s PhD in computational sciences and informatics requires a minimum of 72 credit hours, though this can be reduced if a student has already completed a master’s. 48 credits are toward graduate coursework, and an additional 24 are for dissertation research.

Students choose an area of emphasis—either computer modeling and simulation or data science—and completed 18 credits of the coursework in this area. Students are expected to completed the coursework in 4-5 years.

Applicants to this program must have a bachelor’s degree in a natural science, mathematics, engineering, or computer science, and must have knowledge and experience with differential equations and computer programming.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $13,426 total (Virginia Resident), $35,377 total (Non-resident)

Harrisburg University of Science and Technology  – Harrisburg, Pennsylvania Doctor of Philosophy in Data Sciences

Harrisburg University’s PhD in data science is a 4-5 year program, the first 2 of which make up the Harrisburg master’s in analytics.

Beyond this, PhD candidates complete six milestones to obtain the degree, including 18 semester hours in doctoral-level courses, such as multivariate data analysis, graph theory, machine learning.

Following the completion of ANLY 760 Doctoral Research Seminar, students in the program complete their 12 hours of dissertation research bringing the total program hours to 36.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $14,940 total

Icahn School of Medicine at Mount Sinai  – New York, New York Genetics and Data Science, PhD

As part of the Biomedical Science PhD program, the Genetics and Data Science multidisciplinary training offers research opportunities that expand on genetic research and modern genomics. The training also integrates several disciplines of biomedical sciences with machine learning, network modeling, and big data analysis.

Students in the Genetics and Data Science program complete a predetermined course schedule with a total of 64 credits and 3 years of study.

Additional course requirements and electives include laboratory rotations, a thesis proposal exam and thesis defense, Computer Systems, Intro to Algorithms, Machine Learning for Biomedical Data Science, Translational Genomics, and Practical Analysis of a Personal Genome.

Delivery Method: Campus GRE: Not Required 2022-2023 Tuition: $31,303 total

Indiana University-Purdue University Indianapolis  – Indianapolis, Indiana PhD in Data Science PhD Minor in Applied Data Science

Doctoral candidates pursuing the PhD in data science at Indiana University-Purdue must display competency in research, data analytics, and at management and infrastructure to earn the degree.

The PhD is comprised of 24 credits of a data science core, 18 credits of methods courses, 18 credits of a specialization, written and oral qualifying exams, and 30 credits of dissertation research. All requirements must be completed within 7 years.

Applicants are generally expected to have a master’s in social science, health, data science, or computer science. 

Currently a majority of the PhD students at IUPUI are funded by faculty grants and two are funded by the federal government. None of the students are self funded.

IUPUI also offers a PhD Minor in Applied Data Science that is 12-18 credits. The minor is open to students enrolled at IUPUI or IU Bloomington in a doctoral program other than Data Science.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $9,228 per year (Indiana Resident), $25,368 per year (Non-resident)

Jackson State University – Jackson, Mississippi PhD Computational and Data-Enabled Science and Engineering

Jackson State University offers a PhD in computational and data-enabled science and engineering with 5 concentration areas: computational biology and bioinformatics, computational science and engineering, computational physical science, computation public health, and computational mathematics and social science.

Students complete 12 credits of common core courses, 12 credits in the specialization, 24 credits of electives, and 24 credits in dissertation research.

Students may complete the doctoral program in as little as 5 years and no more than 8 years.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $8,270 total

Kennesaw State University  – Kennesaw, Georgia PhD in Analytics and Data Science

Students pursuing a PhD in analytics and data science at Kennesaw State University must complete 78 credit hours: 48 course hours and 6 electives (spread over 4 years of study), a minimum 12 credit hours for dissertation research, and a minimum 12 credit-hour internship.

Prior to dissertation research, the comprehensive examination will cover material from the three areas of study: computer science, mathematics, and statistics.

Successful applicants will have a master’s degree in a computational field, calculus I and II, programming experience, modeling experience, and are encouraged to have a base SAS certification.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $5,328 total (Georgia Resident), $19,188 total (Non-resident)

New Jersey Institute of Technology  – Newark, New Jersey PhD in Business Data Science

Students may enter the PhD program in business data science at the New Jersey Institute of Technology with either a relevant bachelor’s or master’s degree. Students with bachelor’s degrees begin with 36 credits of advanced courses, and those with master’s take 18 credits before moving on to credits in dissertation research.

Core courses include business research methods, data mining and analysis, data management system design, statistical computing with SAS and R, and regression analysis.

Students take qualifying examinations at the end of years 1 and 2, and must defend their dissertations successfully by the end of year 6.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $21,932 total (New Jersey Resident), $32,426 total (Non-resident)

New York University  – New York, New York PhD in Data Science

Doctoral candidates in data science at New York University must complete 72 credit hours, pass a comprehensive and qualifying exam, and defend a dissertation with 10 years of entering the program.

Required courses include an introduction to data science, probability and statistics for data science, machine learning and computational statistics, big data, and inference and representation.

Applicants must have an undergraduate or master’s degree in fields such as mathematics, statistics, computer science, engineering, or other scientific disciplines. Experience with calculus, probability, statistics, and computer programming is also required.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $37,332 per year

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Northcentral University  – San Diego, California PhD in Data Science-TIM

Northcentral University offers a PhD in technology and innovation management with a specialization in data science.

The program requires 60 credit hours, including 6-7 core courses, 3 in research, a PhD portfolio, and 4 dissertation courses.

The data science specialization requires 6 courses: data mining, knowledge management, quantitative methods for data analytics and business intelligence, data visualization, predicting the future, and big data integration.

Applicants must have a master’s already.

Delivery Method: Online GRE: Required 2022-2023 Tuition: $16,794 total

Stevens Institute of Technology – Hoboken, New Jersey Ph.D. in Data Science

Stevens Institute of Technology has developed a data science Ph.D. program geared to help graduates become innovators in the space.

The rigorous curriculum emphasizes mathematical and statistical modeling, machine learning, computational systems and data management.

The program is directed by Dr. Ted Stohr, a recognized thought leader in the information systems, operations and business process management arenas.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $39,408 per year

University at Buffalo – Buffalo, New York PhD Computational and Data-Enabled Science and Engineering

The curriculum for the University of Buffalo’s PhD in computational and data-enabled science and engineering centers around three areas: data science, applied mathematics and numerical methods, and high performance and data intensive computing. 9 credit course of courses must be completed in each of these three areas. Altogether, the program consists of 72 credit hours, and should be completed in 4-5 years. A master’s degree is required for admission; courses taken during the master’s may be able to count toward some of the core coursework requirements.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $11,310 per year (New York Resident), $23,100 per year (Non-resident)

University of Colorado Denver – Denver, Colorado PhD in Big Data Science and Engineering

The University of Colorado – Denver offers a unique program for those students who have already received admission to the computer science and information systems PhD program.

The Big Data Science and Engineering (BDSE) program is a PhD fellowship program that allows selected students to pursue research in the area of big data science and engineering. This new fellowship program was created to train more computer scientists in data science application fields such as health informatics, geosciences, precision and personalized medicine, business analytics, and smart cities and cybersecurity.

Students in the doctoral program must complete 30 credit hours of computer science classes beyond a master’s level, and 30 credit hours of dissertation research.

The BDSE fellowship requires students to have an advisor both in the core disciplines (either computer science or mathematics and statistics) as well as an advisor in the application discipline (medicine and public health, business, or geosciences).

In addition, the fellowship covers full stipend, tuition, and fees up to ~50k for BDSE fellows annually. Important eligibility requirements can be found here.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $55,260 total

University of Marylan d  – College Park, Maryland PhD in Information Studies

Data science is a potential research area for doctoral candidates in information studies at the University of Maryland – College Park. This includes big data, data analytics, and data mining.

Applicants for the PhD must have taken the following courses in undergraduate studies: programming languages, data structures, design and analysis of computer algorithms, calculus I and II, and linear algebra.

Students must complete 6 qualifying courses, 2 elective graduate courses, and at least 12 credit hours of dissertation research.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $16,238 total (Maryland Resident), $35,388 total (Non-resident)

University of Massachusetts Boston  – Boston, Massachusetts PhD in Business Administration – Information Systems for Data Science Track

The University of Massachusetts – Boston offers a PhD in information systems for data science. As this is a business degree, students must complete coursework in their first two years with a focus on data for business; for example, taking courses such as business in context: markets, technologies, and societies.

Students must take and pass qualifying exams at the end of year 1, comprehensive exams at the end of year 2, and defend their theses at the end of year 4.

Those with a degree in statistics, economics, math, computer science, management sciences, information systems, and other related fields are especially encouraged, though a quantitative degree is not necessary.

Students accepted by the program are ordinarily offered full tuition credits and a stipend ($25,000 per year) to cover educational expenses and help defray living costs for up to three years of study.

During the first two years of coursework, they are assigned to a faculty member as a research assistant; for the third year students will be engaged in instructional activities. Funding for the fourth year is merit-based from a limited pool of program funds

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $18,894 total (in-state), $36,879 (out-of-state)

University of Nevada Reno – Reno, Nevada PhD in Statistics and Data Science

The University of Nevada – Reno’s doctoral program in statistics and data science is comprised of 72 credit hours to be completed over the course of 4-5 years. Coursework is all within the scope of statistics, with titles such as statistical theory, probability theory, linear models, multivariate analysis, statistical learning, statistical computing, time series analysis.

The completion of a Master’s degree in mathematics or statistics prior to enrollment in the doctoral program is strongly recommended, but not required.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $5,814 total (in-state), $22,356 (out-of-state)

University of Southern California – Los Angles, California PhD in Data Sciences & Operations

USC Marshall School of Business offers a PhD in data sciences and operations to be completed in 5 years.

Students can choose either a track in operations management or in statistics. Both tracks require 4 courses in fall and spring of the first 2 years, as well as a research paper and courses during the summers. Year 3 is devoted to dissertation preparation and year 4 and/or 5 to dissertation defense.

A bachelor’s degree is necessary for application, but no field or further experience is required.

Students should complete 60 units of coursework. If the students are admitted with Advanced Standing (e.g., Master’s Degree in appropriate field), this requirement may be reduced to 40 credits.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $63,468 total

University of Tennessee-Knoxville  – Knoxville, Tennessee The Data Science and Engineering PhD

The data science and engineering PhD at the University of Tennessee – Knoxville requires 36 hours of coursework and 36 hours of dissertation research. For those entering with an MS degree, only 24 hours of course work is required.

The core curriculum includes work in statistics, machine learning, and scripting languages and is enhanced by 6 hours in courses that focus either on policy issues related to data, or technology entrepreneurship.

Students must also choose a knowledge specialization in one of these fields: health and biological sciences, advanced manufacturing, materials science, environmental and climate science, transportation science, national security, urban systems science, and advanced data science.

Applicants must have a bachelor’s or master’s degree in engineering or a scientific field. 

All students that are admitted will be supported by a research fellowship and tuition will be included.

Many students will perform research with scientists from Oak Ridge national lab, which is located about 30 minutes drive from campus.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $11,468 total (Tennessee Resident), $29,656 total (Non-resident)

University of Vermont – Burlington, Vermont Complex Systems and Data Science (CSDS), PhD

Through the College of Engineering and Mathematical Sciences, the Complex Systems and Data Science (CSDS) PhD program is pan-disciplinary and provides computational and theoretical training. Students may customize the program depending on their chosen area of focus.

Students in this program work in research groups across campus.

Core courses include Data Science, Principles of Complex Systems and Modeling Complex Systems. Elective courses include Machine Learning, Complex Networks, Evolutionary Computation, Human/Computer Interaction, and Data Mining.

The program requires at least 75 credits to graduate with approval by the student graduate studies committee.

Delivery Method: Campus GRE: Not Required 2022-2023 Tuition: $12,204 total (Vermont Resident), $30,960 total (Non-resident)

University of Washington Seattle Campus – Seattle, Washington PhD in Big Data and Data Science

The University of Washington’s PhD program in data science has 2 key goals: training of new data scientists and cyberinfrastructure development, i.e., development of open-source tools and services that scientists around the world can use for big data analysis.

Students must take core courses in data management, machine learning, data visualization, and statistics.

Students are also required to complete at least one internship that covers practical work in big data.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $17,004 per year (Washington resident), $30,477 (non-resident)

University of Wisconsin-Madison – Madison, Wisconsin PhD in Biomedical Data Science

The PhD program in Biomedical Data Science offered by the Department of Biostatistics and Medical Informatics at UW-Madison is unique, in blending the best of statistics and computer science, biostatistics and biomedical informatics. 

Students complete three year-long course sequences in biostatistics theory and methods, computer science/informatics, and a specialized sequence to fit their interests.

Students also complete three research rotations within their first two years in the program, to both expand their breadth of knowledge and assist in identifying a research advisor.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $10,728 total (in-state), $24,054 total (out-of-state)

Vanderbilt University – Nashville, Tennessee Data Science Track of the BMI PhD Program

The PhD in biomedical informatics at Vanderbilt has the option of a data science track.

Students complete courses in the areas of biomedical informatics (3 courses), computer science (4 courses), statistical methods (4 courses), and biomedical science (2 courses). Students are expected to complete core courses and defend their dissertations within 5 years of beginning the program.

Applicants must have a bachelor’s degree in computer science, engineering, biology, biochemistry, nursing, mathematics, statistics, physics, information management, or some other health-related field.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $53,160 per year

Washington University in St. Louis – St. Louis, Missouri Doctorate in Computational & Data Sciences

Washington University now offers an interdisciplinary Ph.D. in Computational & Data Sciences where students can choose from one of four tracks (Computational Methodologies, Political Science, Psychological & Brain Sciences, or Social Work & Public Health).

Students are fully funded and will receive a stipend for at least five years contingent on making sufficient progress in the program.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $59,420 total

Worcester Polytechnic Institute – Worcester, Massachusetts PhD in Data Science

The PhD in data science at Worcester Polytechnic Institute focuses on 5 areas: integrative data science, business intelligence and case studies, data access and management, data analytics and mining, and mathematical analysis.

Students first complete a master’s in data science, and then complete 60 credit hours beyond the master’s, including 30 credit hours of research.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $28,980 per year

Yale University – New Haven, Connecticut PhD Program – Department of Stats and Data Science

The PhD in statistics and data science at Yale University offers broad training in the areas of statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods. Students complete 12 courses in the first year in these topics.

Students are required to teach one course each semester of their third and fourth years.

Most students complete and defend their dissertations in their fifth year.

Applicants should have an educational background in statistics, with an undergraduate major in statistics, mathematics, computer science, or similar field.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $46,900 total

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