The Data Science program, jointly offered by the Departments of Computer Science in the College of Engineering and Mathematics in the College of Arts & Sciences, prepares students for leadership positions in data analytics, information management, and knowledge engineering.
The Data Science Graduate Certificate provides students with tools and training in data analytics and discovery informatics, which integrates mathematics and computer science for the quantification and manipulation of information from a cognate area of application (e.g., science, engineering, business, sociology, healthcare, planning). Emphasis is placed on merging strong foundations in information theory, mathematics, and computer science with current methodologies and tools to enable data-driven discovery, problem-solving, and decision-making.
With a graduate certificate in Data Science, you will:
- develop skills in computer programming, data analysis, data mining, machine learning, statistics, and visualization
- be prepared to solve challenging problems involving large, diverse data sets from different application domains
In addition, the Data Science Graduate Certificate is also designed to prepare students for employment in other professional fields that require data science. Individuals with a career or undergraduate degree in business, computer science, engineering, physical/life/social sciences, mathematics, liberal arts, and education who desire to enhance their data analytics and information science skills and credentials will benefit from this certificate program.
Graduate certificate in data science program goals
- meet the growing regional and national demand for high-level information systems/science skills
- provide a path for individuals from diverse fields to rapidly transition to data science career paths
- enable established information technology and computing professionals to upgrade their 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
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