˿Ƶ

A man and a woman view data on a desktop computer.
A man and a woman view data on a desktop computer.

Master of Science in Data Science and AI

Develop deep technical skills with a foundation in business through our STEM-designated program.

Sun, Mar 01

Next Application Deadline

Fall 2026 Priority Deadline

At a Glance

Location:

  • Smithfield, Rhode Island
  • In-person program

Duration:

  • 12-18 months
  • Fall and spring start terms

Commitment:

  • 11 courses (33 credits)
  • $3,705 per 3-credit course

Career Outcomes

Our graduates are well prepared to accelerate their careers in a growing field. 

“By merging data science with a business specialization, our Master of Science in Data Science empowers future leaders to unleash the full potential of data and gain a competitive edge in the AI-driven economy.” 

Suhong Li

Suhong Li, Ph.D.

Department Chair, Information Systems and Analytics

36%

projected job growth in the next decade

U.S. Bureau of Labor Statistics

No. 3

top job in the U.S.

Glassdoor

Prepare for the Data-Driven Economy

Advance your career by gaining deep technical skills with a foundation in business. Developed with feedback from industry partners, our program trains future data scientists to solve real-world business problems and make strategic decisions in today’s data-driven economy.

You’ll leverage business principles with expertise across artificial intelligence, statistics, natural language processing, machine learning, and analytics. Expect to advance your programming and data management skills in:

  • Python
  • Tableau
  • Pytorch
  • SQL/NoSQL
  • R
  • Databricks
  • Spark
  • Microsoft Azure
  • PowerBI
  • Amazon Web Services

You’ll also practice end-to-end data science by working on hands-on projects from our corporate partners, gaining valuable real-world experience.

Our Value

In Demand

Be in high demand as a skilled professional in the growing field of data science.

Customized

Choose electives in fintech, global supply chain management, healthcare, international business, or general management. 

Supportive

Small class sizes, personal mentoring, and supportive faculty help tailor your experiences to your career aspirations. 

Network

Connect with ˿Ƶ vast professional network of acclaimed professors and alumni across major corporations.

Curriculum

The Master of Science in Data Science consists of eight required courses, including a capstone project at the program’s culmination, and three electives. Choose electives that fit your professional needs and interests with courses in fintech, global supply chain management, healthcare, international business, or general management. Sample courses include:

Data Visualization and Communication ISA 520
Fundamentals of AI and Machine Learning ISA 530
AI II: Natural Language Processing MSDS 620
Large Scale Data Analytics in the Age of AI MSDS 630
Programming in Finance FIN 501
Health Analytics (R, Python, Tableau) HS 630

STEM-Designated

˿Ƶ STEM-designated programs are at the intersection of business, healthcare, and technology that powers today’s innovative economy. Our students are prepared to think critically and analyze complex data to inform business decisions and are prepared to be leaders in STEM fields. International students with F1 visas graduating from this program may apply for a 24-month extension to their OPT in the U.S.

STEM Program at ˿Ƶ
STEM at ˿Ƶ
STEM Programs
A group of Bryant University students work inside the Data Science Lab.
Bryant students leave the Business Entrepreneurship Leadership Center.
Bryant University Professor Suhong Li speaks to a student inside the Data Science Lab.

Data Science Lab

Take courses in ˿Ƶ Data Science Lab, located in the new Business Leadership Entrepreneurship Center (BELC). You’ll gain hands-on experience with the tools and applications used by professionals and work with real datasets generated by industry partners.

Admission Costs

Tuition*

$40,755
($3,705 per 3-credit course)

Program Fees

Preparing for MSDS Bootcamp: $1,235
Application Fee: $80

Total Cost

$42,070

*Tuition rates are subject to annual change based on approval by the Board of Trustees, typically in the spring of the preceding academic year. 

About This Program

Program Schedule

Start the program in September during the fall semester or in January during the spring semester. Design your course schedule to earn your degree in either 12 or 18 months. See the for term dates and the Graduate Deadlines page for application deadlines.

Start the program in September during the fall semester or in January during the spring semester. Design your course schedule to earn your degree in either 12 or 18 months. See the for term dates and the Graduate Deadlines page for application deadlines.

Admission Requirements

In addition to the application form, you will need to submit:

  • Statement of objectives
  • Current resume
  • One letter of recommendation
  • Official transcripts from all colleges/universities you have attended
  • $80 application fee (waived for Bryant alumni, current ˿Ƶ students, active duty military, and military veterans)

No GMAT/GRE required.

International applicants: Please read more about the international application process and requirements on our Graduate International Students page.

In addition to the application form, you will need to submit:

  • Statement of objectives
  • Current resume
  • One letter of recommendation
  • Official transcripts from all colleges/universities you have attended
  • $80 application fee (waived for Bryant alumni, current ˿Ƶ students, active duty military, and military veterans)

No GMAT/GRE required.

International applicants: Please read more about the international application process and requirements on our Graduate International Students page.

Prerequisite Courses

You need to have successfully completed courses in statistics and computer programming at the undergraduate or graduate level prior to matriculation. Don’t meet the requirements? No problem. We offer two online courses as a bridge semester before you start the program:

  • Math and Statistics Foundation for Data Analytics – For students without prerequisite algebra or precalculus.
     
  • Programming Foundation for Data Analytics – For students without prerequisite knowledge of computer science.

Please consult with our Graduate and Professional Education team with any questions about your qualifications or prerequisite courses.  

You need to have successfully completed courses in statistics and computer programming at the undergraduate or graduate level prior to matriculation. Don’t meet the requirements? No problem. We offer two online courses as a bridge semester before you start the program:

  • Math and Statistics Foundation for Data Analytics – For students without prerequisite algebra or precalculus.
     
  • Programming Foundation for Data Analytics – For students without prerequisite knowledge of computer science.

Please consult with our Graduate and Professional Education team with any questions about your qualifications or prerequisite courses.  

Financial Aid

U.S. citizens and permanent residents are encouraged to apply for financial aid by completing the Free Application for Federal Student Aid (FAFSA). Bryant University also accepts payments from employers with tuition assistance programs. For more information, contact the Financial Aid Office.

U.S. citizens and permanent residents are encouraged to apply for financial aid by completing the Free Application for Federal Student Aid (FAFSA). Bryant University also accepts payments from employers with tuition assistance programs. For more information, contact the Financial Aid Office.