The master's degree program in data science prepares you for leadership positions in data analytics, information management, and knowledge engineering. It is jointly offered by the departments of Computer Science in Engineering and Mathematics in Arts & Sciences.
With a master's degree in data science, you will:
- develop skills in computer programming, statistics, data mining, machine learning, data analysis, and visualization
- be prepared to solve challenging problems involving large, diverse data sets from different application domains
You will explore the rapidly emerging fields of data analytics and discovery informatics—which integrates mathematics and computer science for the quantification and manipulation of information from a cognate area of application (such as science, engineering, business, sociology, healthcare, planning).
The program emphasizes:
- strong foundations in information theory, mathematics, and computer science
- current methodologies and tools to enable data-driven discovery, problem solving, and decision-making
Enhance your skills, advance your career
The program is designed for:
- professionals and organizational leaders who want to take on greater IT responsibilities
- individuals who aspire to careers using computer information science to support decision-making
- students who want to learn technological and analysis tools used by leading science, engineering, business, academic, government, and social organizations
Data science MS mean starting salary:
NACE Data Collection of Class of 2022 Graduate Alumni
The MS in Data Science aims to:
- meet the growing demand for high-level information systems/science skills
- provide a path for individuals from diverse fields to rapidly transition to data science careers
- enable established IT and computing professionals to upgrade technical management and development skills
- prepare graduates to apply data science techniques for knowledge discovery and dissemination to assist researchers or decision-makers in achieving organizational objectives
- create innovators, entrepreneurs, and business professionals who will lead the development of next generation information systems
At the time of graduation, students will:
- be able to apply contemporary techniques for managing, mining, and analyzing big data across multiple disciplines
- be able to use computation and computational thinking to gain new knowledge and to solve real-world problems of high complexity
- be able to communicate ideas and findings persuasively in written, oral, and visual form and to work in a diverse team environment
- apply advanced knowledge of computing and information systems applications to areas such as networking, database, security and privacy, and web technologies
- be prepared for career advancement in all areas of information science and technology
- be committed to continuous learning about emerging and innovative methods, technologies, and new ideas—and be able to use them to help others
- appreciate the professional, societal, and ethical considerations of data collection and use
The program prepares you for careers that require data analysis and representation, and a broad, flexible understanding of informatics.
The MS in Data Science is a 30-credit program. You will arrange an individual graduate program with your advisor during the first semester, subject to approval by your Graduate Committee.
All students complete 3 required computer science courses and a master’s project course. Elective courses round out the program.
Hands-on learning is crucial. You will have opportunities to:
- participate in faculty-led projects
- collaborate on industry, agency, and faculty-sponsored projects
- pursue your own research interests
Faculty research is centered on data science across the disciplines: to treat disease, monitor neonate health, explore the universe, predict ocean turbulence, and solve complex numerical equations.
Bridge Program: For students who are not yet ready for the master of science degree program in data science, UMass Dartmouth offers a preparatory bridge program consisting of five courses in data science fundamentals. Offered through UMassD's Online & Continuing Education Programs, the preparatory curriculum is comprised of both online and in-person courses and may be completed within one year. Learn more.
3+2 Program with Salve Regina University: UMass Dartmouth has partnered with Salve Regina University to develop a pathway for Salve Regina students to earn a bachelor’s degree in mathematics from their home school and a master’s degree in data science from UMass Dartmouth in just five years. Learn more.
Center for Scientific Computing and Visualization Research (CSCVR): An interdisciplinary center where faculty and students collaborate using high-performance computers to address mathematical, engineering, physics, biology, chemistry, and oceanography computational issues and questions. Learn more about the CSCVR
International (F-1) students who receive science, technology, engineering, and mathematics (STEM) degrees may be eligible to apply for a 24-month extension of their post-completion optional practical training (OPT). To learn about the eligibility criteria and detailed steps to apply, please review the International Student & Scholar Center (ISSC) OPT page and USCIS resources. F-1 students must consult with the ISSC to apply for STEM OPT.