This page answers questions we often receive concerning UConn’s MS in Data Science, including admissions requirements, online and on-campus options, hands-on learning, career opportunities, tuition, and international student support. 

Use this page to learn how the program works and what to expect before applying. 

About the UConn MS in Data Science Program

What makes UConn’s Master of Science in Data Science stand out? 
UConn’s MS in Data Science stands out for its interdisciplinary curriculum, applied capstone, career-focused training, access to expertise across multiple schools and colleges, and flexible online and on-campus options. Students build practical skills in statistics, programming, machine learning, AI, visualization, and data-driven decision-making. 

Is UConn’s MS in Data Science offered online or on campus?
UConn offers both options. Students can choose a 100% online, part-time format or an 11-month, full-time, cohort-based on-campus format in Storrs. View the Online Program Page.

Does UConn’s MS in Data Science include hands-on learning?
Yes. All students complete an applied capstone project that helps them solve a real-world data science problem and strengthen practical skills. View the Curriculum Page.

Who is UConn’s MS in Data Science a good fit for?
UConn’s MS in Data Science is a good fit for recent graduates, career changers, and working professionals who want to build skills in analytics, statistics, machine learning, AI,  programming, and data-informed decision-making. 

Admissions Requirements and Application Questions

Does UConn’s on-campus MS in Data Science enroll in the spring?
No. The on-campus program enrolls only in the fall. The online program accepts students in both the fall and spring. 

How long after I submit my application will I receive an admissions decision?
Most applicants can expect a decision about two to three weeks after submitting a complete application. View the Apply Page.

Can I transfer credits into UConn’s MS in Data Science?
No. The program does not currently accept transfer credits from other colleges or universities. 

What are the prerequisites for UConn’s MS in Data Science?
Applicants should have one semester of statistics, one semester of differential calculus, and some computer programming experience. 

Careers, Jobs, and the Value of a Data Science Master’s

What jobs can a master’s in data science prepare me for?
A master’s in data science can prepare graduates for roles such as data scientist, data analyst, machine learning specialist, and business intelligence analyst. View the Careers Page.

Is a master’s in data science worth it?

For many students, yes. A master’s in data science can build advanced technical skills, expand career opportunities, and provide practical experience that supports long-term career growth. 

Tuition, Scholarships, and Application Fee Waivers

Are scholarships or assistantships available for UConn’s MS in Data Science students?
Unfortunately, no. UConn’s MS in Data Science does not offer graduate assistantships or scholarships at this time. 

Are application fee waivers available?
Sometimes. The Graduate School offers application fee waivers in some circumstances. View the Application Fee Waiver Page. 

International Student Questions

Is UConn’s on-campus MS in Data Science STEM OPT eligible?
Yes. UConn’s on-campus MS in Data Science is a STEM-designated program, and eligible F-1 students may qualify for a 24-month STEM OPT extension after graduation. View the STEM OPT Page.

Can international students enroll in the online MS in Data Science program?
Yes, international students can apply to the online program. Visa sponsorship information applies to the on-campus option, so students should review University guidance for details. 

Online Learning, Program Format, and Time to Completion

Can the on-campus MS in Data Science be completed part-time?
In some instances. The on-campus program is designed as a full-time, cohort-based experience. Some local domestic students may be able to take on-campus courses at a part-time pace depending on their schedule. It is highly recommended that students seeking a part-time option consider the online program. 

Are admissions requirements the same for the online and on-campus MS in Data Science programs?
Yes. Admissions requirements are the same for both formats. 

Is the online MS in Data Science the same as the on-campus program?
Yes. Both options share the same degree structure and learning goals. The main difference is format. 

When can I start the online MS in Data Science program?
Students can begin the online program in the fall or spring semester. 

What does learning look like in the online MS in Data Science program?
Online learning is primarily asynchronous. Students complete recorded lectures and assignments on a flexible schedule and can connect with faculty through office hours and support resources. 

Can I continue on to a Ph.D. after completing UConn’s MS in Data Science?
Possibly, but this program is primarily designed for applied professional practice rather than a research-focused Ph.D. pathway. 

Do I already need to work in data science to qualify for the program?
No. Applicants from a range of academic and professional backgrounds may qualify if they meet the prerequisite requirements. 

How long does it take to complete UConn’s MS in Data Science?
The on-campus program takes 11 months. The online program timeline varies based on course load. 

How to Compare Master’s in Data Science Programs

What should I look for in a data science master’s program?
Look for a program with a strong curriculum, hands-on learning, expert faculty, career relevance, and a format that fits your needs. View the What Makes the Best MSDS Programs Page.

How can I compare different MS in Data Science programs?
Compare programs based on curriculum, capstone opportunities, faculty expertise, flexibility, student support, and cost. 

What skills should a strong MS in Data Science program teach?
A strong program should teach statistics, programming, machine learning, data management, visualization, and ethical data practice. 

Why do capstones and applied projects matter in a data science degree?
Capstones and applied projects matter because they help students solve real problems, apply technical skills, and demonstrate readiness to employers.