Program Overview | Data Science

Welcome from the Team

Since the inception of the M.S. in data science at UD in fall 2019, we have been gratified to see a fantastic growth of interest from prospective students as well as within the campus. This success reflects the intense interest in data science within today’s business, government and academic sectors. The growth has made us hustle to keep up — which is the best kind of problem to have!

Data science is about asking great questions and getting useful answers. It draws on knowledge and techniques from computer science, math and statistics, and doing it well also requires a keen understanding of an application domain. We're proud to have a truly interdisciplinary MSDS program at UD that offers tremendous flexibility in the curriculum so that you can tailor the degree to your own background, needs and interests. We're also glad to have online course offerings that we are constantly working to expand.

If you choose the MSDS program at UD, you'll receive personalized, hands-on advising and mentorship and have access to numerous learning opportunities both inside and outside the classroom. We've seen many students develop their skills at UD and go on to begin great careers in an array of industries. We sincerely hope you will be the next!

Have questions about the program, or just interested in learning more? Inquire today, and someone from the program will reach out to you.

LearnER OUTCOMES

The successful graduate of the M.S. in data science will be able to:

• Demonstrate a mastery of foundational knowledge in data science through the successful completion of a diverse range of coursework encompassing multiple areas of domain and technical expertise.
• Develop and apply data science techniques in one or more domain areas of interest via course projects, examinations and/or a master’s thesis.
• Communicate data science techniques and findings to expert and non-expert audiences in written, discussion, visual and oral presentation formats.
• Demonstrate a deep understanding of ethics in data science and related technical tools through in-depth discussion and study of current ethical issues in the field.
• Gain experiential training—via on-campus projects or external internships—in workflow management, technical collaboration and professional accountability in preparation for the expectations of the workplace.

History

From our Students