The M.S. in Data Science and Analytics offers advanced practical training for in-demand modern skills to manipulate, organize and present data essential for informed, evidence-based decision-making and planning across industries. This program is open to students with basic programming and statistical skills from all undergraduate majors. Courses cover highly marketable techniques using data analytics tools, computer coding, machine learning, geospatial programming, data design, visualization, and analysis. Students will develop professional skills in project management, communications, data governance, and creative problem-solving for effective collaboration. Unique components of the program include workshops with local experts and an applied-skills internship with industry partners.
About the Interdisciplinary Unit in Data Science and Analytics
Joaquin Carbonara (Math/Statistics)
Science and Mathematics Complex 384
1. A bachelor’s degree from an accredited college or university with a minimum cumulative GPA of 2.5 (4.0 scale).
2. A two- to three-page statement of intent (essay) that includes the following:
-educational and professional objectives; and
-an explanation of the reasons for interest in data science and analytics
3. An interview with the program coordinator. The program coordinator will contact the student for an appointment after the completed application is received.
In addition, all applicants must review the Admission to a Graduate Program section in this catalog.
Required Courses (18 credit hours)
CIS 512 Introduction to Data Science and Analytics 3 credits
CIS 600 Machine Learning for Data Science 3 credits
MAT 616 Elements of Mathematics, Programing and Computer Science 3 credits
MAT 646 Introduction to Statistics for Data Science 3 credits
SPF 689 Methods and Techniques of Educational Research 3 credits
XXX 690 Master’s Project 3 credits
(where XXX is the department of the student’s Master’s Project adviser)
Elective Courses (12 credit hours)
Choose four courses by advisement from the following (each course is 3 credits):
BUS 519 Communication for Leaders and Managers
DSA 501 Data Oriented Computing and Analytics
DSA 650 Data Strategy and Governance
GEG 584 Geospatial Programming
PSM 601 Project Management for Math and Science Professionals
Or additional elective courses by advisement
Total Credit Hours 30