Ph.D. in Data Science

A Ph.D. in Data Science is for students who want to do more than apply existing analytical tools. It is for people who want to investigate complex questions, develop new methods, and contribute original research involving large and challenging data sets.

The Ph.D. in Data Science combines advanced coursework with independent research across computer science, mathematics, statistics, and engineering. Students develop a broad foundation in data science, build expertise in an area related to their research interests, and complete a dissertation based on original work.

The program is designed for students interested in careers in university research and teaching, data science research, artificial intelligence and machine learning, advanced analytics, industrial research and development, and other positions where independent research and advanced quantitative skills are important.

Students complete core coursework in:

• Big Data Tools and Techniques

• Probability and Mathematical Statistics

• Applied Multivariate Data Analysis

• Machine Learning

• Decision Optimization

The program is intentionally interdisciplinary. Students can build additional expertise through elective coursework in areas such as data mining, databases, data warehousing, visual analytics, deep learning, machine learning, reinforcement learning, computational intelligence, Bayesian methods, experimental design, and advanced statistics. Elective courses are selected with the student's thesis advisor so that coursework supports the student's research direction.

A substantial portion of the program is devoted to doctoral research and dissertation work. Students work with their thesis advisor to balance advanced coursework with 21 to 30 credits of dissertation research, allowing the program to be shaped around the student's research goals.

The result is a program that gives students both the technical breadth needed to work across data science and the depth needed to become independent researchers in their chosen area.

For more information about the courses taken as part of the PhD in Data Science, click here to view its program guide.

How can I qualify?

Students seeking a PhD in Data Science should have a Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or related field from an accredited institution of higher learning with a minimum undergraduate cumulative GPA of 3.0 (on a 4.0 scale). Depending on the undergraduate area of study, completion of additional foundation courses may be required.

Students in the Master's program can transfer to the doctoral program. To qualify for the transfer, Master's students must have a cumulative MS GPA of 3.3 with no grade lower than a B at the end of the spring semester of their first Master's year.   If not, they may successfully complete the MS and then be allowed to transfer into the PhD program, completing the remaining coursework and graduation requirements.  Courses completed in the Master's program will be applied towards the PhD.  Students in the PhD program may choose to switch to the MS program if desired.

What can I gain from this program?

The PhD in Data Science is a rigorous academic program that seeks to set up doctoral students for success as researchers, scientists, and data science professionals. In addition to developing strong foundational knowledge about the field of data science, students will acquire the following skills:

• Expertise and experience to apply the theories and methodologies of data science to establish a basis for future research.
• Mastery of ethical data practices, methods, and procedures. 
• Ability to conduct independent, original research and acquire resources necessary to successfully execute a depth knowledge of a research project.
• Expository and oral communication skills.
• Engagement in professional outreach to advance the field.
• Ability to produce high-quality publishable research that advances understanding of important topics or problems.
• Ability to lead others in educational activities and research and development projects.

I want to apply!

If you would like to learn more about the application process and admission requirements for the PhD in Data Science at Rowan, please click here to view the Rowan Global page.

For those who are interested in the program and want more information before they apply, please send an email to phdds@rowan.edu.