Our M.S. in Data Science prepares graduates with a degree in a STEM-related field for a career in data science. The program provides a strong background in data mining, modeling, and statistical and machine learning. In our curriculm, we build on industry needs, as well as guidelines of the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM) and the Technology Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET).
As a student, you may declare a concentration or choose from a variety of electives to increase your knowledge of computer science, statistics or visual Science.
The M.S. in Data Science program consists of 10 courses and a total of 30 graduate semester hours (s.h.). Students may enroll in this program part-time or full-time.
Applicants must have successfully completed the following courses (or their equivalents) at an accredited institution: Calculus II, Probability and Statistical Inference for Computing Systems, Linear Algebra, Introduction to Object-Oriented Programming or Computer Science and Programming, and Data Structures and Algorithms or Data Structures for Engineers.
The following courses make up the M.S. in Data Science program.
- 10 Courses/ 30 Semester Hours
- Foundation Courses: Yes
- Graduation / Exit / Thesis Requirements: No
Curriculum - https://global.rowan.edu/programs/ms-in-data-science.html