Earn your undergraduate degree in data science
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.
Our interdisciplinary approach to data science builds on centers of excellence in engineering, computer science, mathematics, and statistics.
Entry-level data science salary range:$58,990 - $74,784
National Association of Colleges & Employers 2019
According to Forbes magazine, data science is among the fastest-growing fields, with demand reaching nearly 700,000 job openings by 2020. Data scientists hold positions in business, government, healthcare, industry, the sciences, and occupational fields where they are needed to explore and explain complex information.
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.
- 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.
- IDEAStudio: Collaborate, create, and explore with state-of-the-art technology including a 3D scanner, 3D printer, and laser engraver.
- Honors College: take advanced courses, pursue research, and be part of a community of scholars
- Study Abroad: earn academic credits and gain a global perspective on your field
- Undergraduate Research: faculty work with students on cutting-edge research projects
- University Studies: gain the benefit of a broad university education to enhance your knowledge and skills
Earn an advanced degree
- Accelerated BS/MS in Data Science: Continue your education at UMassD with an accelerated BS/MS degree program for qualified undergraduates that can be completed in five years.
- MS in Data Science: Prepare for leadership positions in data analytics, information management, and knowledge engineering.
- MS in Computer Science: Advanced study in theoretical computer science, computer systems, software engineering, parallel and distributed computing, and computer networks.
- PhD in Engineering & Applied Science: Emphasizes the interdisciplinary nature of modern research at the interfaces of engineering, the applied sciences, and technology.
- PhD in Mathematics Education: Prepares graduates for careers in education, scientific institutions, industries, and federal agencies.