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M.S. in Data Science

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Program Information

The Rowan Experience
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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.

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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

Course Number Title S.H. (Credits)
Required Courses: 12 S.H.
DS 02510 Visual Analytics 3
CS 02620 Data Warehousing 3
CS 02505 Data Mining I 3
STAT 02515 Applied Multivariate Data Analysis 3
Health Data Analytics Concentration: 18 S.H.
DA 03510 Patient Data Understanding 3
DA 02625 Data Quality and Web/Text Mining 3
DA 01505 Data Analytics Capstone Practicum 3
DA 03520 Healthcare Management 3
----- Choose 2 Courses from Elective Bank 6
Business Data Analytics Concentration: 18 S.H.
STAT 02525 Design and Analysis of Experiments 3
MGT 07500 Managerial Decision Making Tools 3
MGT 97600 Predictive Analysis 3
DA 01505 Data Analytics Capstone Practicum 3
----- Choose 2 Courses from Elective Bank 6
No Concentration: 18 S.H.
DA 01505 Data Analytics Capstone Practicum 3
----- Choose 5 courses from Elective Bank 15
Elective Courses: 6 S.H.
DA 03511 Patient Data Privacy & Ethics 3
DA 03520 Healthcare Management 3
STAT 02525 Design and Analysis of Experiments 3
CS 02570 Information Visualization 3
CS 02605 Data Mining II 3
CS 02630 Advanced Topics in Database Systems 3
CS 02625 Data Quality and Web/Text Mining 3
DA 03510 Patient Data Understanding 3
CS 02530 Advanced Database Systems: Theory And Programming 3
CS 07540 Advanced Design And Analysis Of Algorithms 3
CS 07556 Machine Learning 3
ECE 09555 Advanced Topics In Pattern Recognition 3
DS 02695 Advanced Topics in Data Science 3
MGT 07500 Managerial Decision Making Tools 3
MGT 07600 Predictive Analysis 3
STAT 02514 Decision Analysis 3
STAT 02530 Applied Survival Analysis 3

Note: The courses listed above are not official and are subject to change. For an official list of available courses please visit the Rowan Global section tally.

Admission Requirements
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The following is a list of items required to begin the application process for the program. There may be additional actions or materials required for admission to the program. Upon receipt of the materials below, a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or will indicate any missing items.

  • Completed Application Form
  • Completed foundation courses
  • $65 (U.S.) non-refundable application fee
  • Bachelor's degree (or its equivalent) from an accredited institution of higher learning
  • Official transcripts from all colleges attended (regardless of number of credits earned)
  • Current professional resume
  • Typewritten statement of professional objectives

    • Provide reasons for pursuing the program. Describe how you might use this program to advance your career (educational goals beyond the master's level, if applicable, are also relevant)
  • Two letters of recommendation
  • Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)
  • Submission of official GRE test results is highly recommended
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Data Science

Career Outlook

Data Science play a significant role in decisions that are made daily in industries across the globe and the in-demand skills you learn at Rowan will position you at the forefront in this booming field. In fact, careers in computer and information research science will grow 16 percent from 2018 to 2028, according to the U.S. Bureau of Labor Statistics. As a graduate, you are prepared for a range of roles, including business intelligence analyst, statistician, data analyst, machine learning engineer and analytics consultant.


Additional Information