M.S. in Data Science (M.S. in D.S.)
Program Overview
Our Master of Science (M.S.) in Data Science prepares graduates with a degree in a Science, Technology, Engineering or Math (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 curriculum, we build on industry needs, as well as guidelines of the Commission on Accreditation for Health Informatics and Information Management Education (C.A.H.I.I.M.) and the Technology Accreditation Commission of the Accreditation Board for Engineering and Technology (A.B.E.T.).
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 Master of Science (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.
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
Deadlines, Tuition and Financial Aid
The chart below details available entry terms for the M.S. in Data Science program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.
Entry Term | Application Deadline |
---|---|
Fall | July 1 |
Spring | November 1 |
At Rowan University, we pride ourselves on being vigilant and frugal about tuition. We work hard to provide quality education while seeking to reduce the barrier that college costs can present students.
RatesWe know paying for tuition can be a challenge. That is why Rowan provides students with the financial resources needed to put their education first by offering grants, loans, work-study, and scholarships.
More InfoThe chart below details available entry terms for the M.S. in Data Science program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.
Entry Term | Application Deadline |
---|---|
Fall | July 1 |
Spring | November 1 |
At Rowan University, we pride ourselves on being vigilant and frugal about tuition. We work hard to provide quality education while seeking to reduce the barrier that college costs can present students.
RatesWe know paying for tuition can be a challenge. That is why Rowan provides students with the financial resources needed to put their education first by offering grants, loans, work-study, and scholarships.
More Info