Master's Degree in Data Science

The Master of Science in Data Science is designed for individuals with a Bachelor's degree in a STEM related field who are looking to expand their knowledge and opportunities in Data Science. The program has a strong background in Data Mining, Modeling, and Statistical and Machine Learning. 

Students will be prepared to use algorithms, statistics, and technology to make informed decisions from massive amounts of data, to manage streamed data or data stored in massive data warehouses, and to visually analyze and present information. Courses are designed to provide expertise in the data science and train students to solve problems with complex sets of structured and unstructured data commonly found in any industry. Students may either take a thesis track or non-thesis track.

Rowan University undergraduates majoring in the Bachelor of Science in Computer Science program may apply to the Combined Advanced Degree (4+1) program which allows them to earn both the Bachelor of Science in Computer Science and the Master of Science in Data Science degrees in five years instead of six.

What can I expect from this program?

Graduates of the M.S. in Data Science program get a strong foundation with required courses in Data Mining, Visual Analytics, Multivariate Statistics, and Data Warehousing.

Students then have choices of tracks depending on their interests and long term goals.

M.S. in Data Science students complete a 30 credit-hour program including the required courses mentioned above as well as a variety of core and elective courses in Data Mining, Machine Learning, and Web and Text Mining. Students can concentrate in a number of fields of interest including Health Data, Business Analytics, Machine Learning, or Statistical Learning.

All students complete a capstone course that incorporates a real-world problem (often provided by one of our industry partners).

For more information on the courses involved, click here to view the program guide.