The Master of Science program in Data Science (MSDS) prepares graduate students for career-oriented jobs around the world. Its curriculum is designed to ensure that students can study specific areas of computer science known as data science. Data science from a computing view revolves around machine learning, data mining, and dealing with big data. As data science is an applied part of computer science, students will be exposed to interdisciplinary courses such as relevant courses from mathematics and business. The School of Computing has state-of-the-art laboratories for use by its students, who are also actively sought after by local companies through the university's Cooperative Education opportunity. This provides students with invaluable job experience, financial assistance, and contacts for potential full-time jobs after graduation.
The STEM CIP code for the School of Computing's MSDS program is: 11.0199 (Computer and Information Sciences, Other).
Admission Requirements
Students may be admitted in full graduate standing to the MS in data science program if they have a bachelor’s degree in computer science or any related engineering discipline. GRE is not required.
Detailed admission requirements
Degree Requirements
The MSDS program is a 30 total credit hour program with a capstone project.
Detailed course requirements Apply to the program
Filing your plan of study
Soon after completing all background deficiency courses (if any) and 9 credit hours of MSDS degree courses, students should file a plan of study, in which they state their choice of elective and discipline elective courses. The semester in which a successful plan of study was filed determines the catalog year applicable to the student.
Once a plan of study is received by the school, the graduate coordinator is going to review it. If the plan is incorrect the graduate coordinator will correspond with the student. If the plan is accepted by the graduate coordinator, then the SoC will email a signed version to the graduate school (and copy the student). In some rare circumstances the graduate school may reject plans, and inform the student of the reason.