At UMass Dartmouth, the data science major is an interdisciplinary, integrating mathematics and computer science with disciplines such as business, engineering, healthcare, planning, science, and sociology.
Data scientists manage, mine, and analyze big data across multiple disciplines—and use computational thinking to gain new knowledge and solve real-world problems of high complexity.
As a data science major, you’ll build a strong foundation in information theory and in the methods and tools of mathematics and computer science. You’ll gain skills in complex problem solving, data-driven discovery, decision support, machine learning, predictive and visual analytics, and statistics.
You’ll be prepared for leadership positions in data analytics, discovery informatics, information management, and knowledge engineering. Businesses, government, healthcare, and the natural and social sciences need more data scientists to explore and explain complex information.
Data Science major
For the BS in data science, you'll complete 73 credit hours in core data science courses, computer and information science, and mathematics. A total of 120 credits are required for the degree.
Offered jointly by the Computer Science Department and the Mathematics Department, the data science curriculum covers topics such as data visualization and matrix methods for data mining—as well as traditional courses in computer and information science and mathematics. Graduates will acquire skills in computer programming, statistics, data mining, machine learning, data analysis, and visualization needed to solve challenging problems involving large, diverse data sets.
During your senior year, you will complete a team capstone project that focuses on real-world, industry-specific challenges. Our students have classified gravitational wave signals, analyzed attendance patterns at NBA games, and classified and predicted the effectiveness of cancer drugs.
UMassD advantages
Capstone projects: most senior engineering students work in small teams on real-world, industry-specific challenges that demand analysis, proposals, prototypes, and solutions.
Center for Scientific Computing & Visualization Research: Faculty and students collaborate on problems in science and engineering using high-performance computing.
Internships & co-op: Gain hands-on experience that will be valuable to local, national, and global employers.
IDEA Studio: Collaborate, create, and explore with state-of-the-art technology including a 3D scanner, 3D printer, and laser engraver.
September 2025
College of Engineering
Dion Building, Room 326,
285 Old Westport Road,
DARTMOUTH,
Massachusetts,
02747, United States
Student must have a secondary and/or post-secondary transcript.
English Language Proficiency
All non-native speakers of English must demonstrate English language proficiency and are required to submit TOEFL (79), IELTS (6.5) or PTE (53) scores.
Application Deadline: Fall: July 15th, Spring: December 1st.
*There may be different IELTS requirements depending on your chosen course.