Program Overview
M.S. in Data Science (M.S. in D.S.)
Program Overview
The Rowan Experience
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.
Curriculum
The Master of Science (M.S.) in Data Science program consists of 11 courses and a total of 31 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.
- 11 Courses/ 31 Semester Hours
- Foundation Courses: Yes
- Graduation / Exit / Thesis Requirements: No
Course List
| Course Number | Title | S.H. (Credits) |
|---|---|---|
| Required Courses: 7 S.H. | ||
| CS 00500 | Computer Science Graduate Seminar | 1 |
| CS 02505 | Data Mining I | 3 |
| STAT 02515 | Applied Multivariate Data Analysis | 3 |
| Core Courses: 9 S.H. (select three courses) | ||
| CS 02516 | Big Data Tools and Techniques | 3 |
| CS 02620 | Data Warehousing | 3 |
| CS 07556 | Machine Learning I | 3 |
| DS 02510 | Visual Analytics | 3 |
| ECE 09555 | Advanced Topics In Pattern Recognition | 3 |
| ENGR 01511 | Engineering Optimization | 3 |
| MATH 01505 | Probability and Mathematical Statistics I | 3 |
| MATH 03511 | Operations Research I | 3 |
| STAT 02509 | Probability and Statistics for Data Science | 3 |
| Elective Courses/Thesis: 15 S.H. | ||
| Bank One (select up to 5 courses from these data science offerings) | ||
| BINF 05555 | Bioinformatics - Advanced Biological Applications | 3 |
| CS 01541 | Bioinformatics - Advanced Computational Aspects | 3 |
| CS 02530 | Advanced Database Systems: Theory and Programming | 3 |
| CS 02570 | Information Visualization | 3 |
| CS 02605 | Data Mining II | 3 |
| CS 02625 | Data Quality and Web/Text Mining | 3 |
| CS 02630 | Advanced Topics in Database Systems | 3 |
| CS 07540 | Advanced Design and Analysis of Algorithms | 3 |
| CS 07559 | Advanced Models of Deep Learning | 3 |
| CS 07650 | Concepts in Artificial Intelligence | 3 |
| CS 07656 | Machine Learning II | 3 |
| DS 01505 | Data Science Capstone Practicum | 3 |
| DA 03510 | Patient Data Understanding | 3 |
| DA 03511 | Patient Data Privacy & Ethics | 3 |
| DA 03520 | Healthcare Management | 3 |
| DHUM 52500 | Digital Humanities Debates & Methods | 3 |
| ECE 09558 | Reinforcement Learning | 3 |
| ECE 09560 | Artificial Neural Networks | 3 |
| ECE 09566 | Advanced Topics in Systems, Devices, and Algorithms in Bioinformatics | 3 |
| ECE 09568 | Discrete Event Systems | 3 |
| ECE 09585 | Advanced Engineering Cyber Security | 3 |
| ECE 09586 | Advanced Portable Platform Development | 3 |
| ECE 09595 | Advanced Emerging Topics in Computational Intelligence, Machine Learning, & Data Mining | 3 |
| ECE 09655 | Advanced Computational Intelligence and Machine Learning | 3 |
| MATH 01506 | Probability and Mathematical Statistics II | 3 |
| STAT 02510 | Introduction to Statistical Data Analysis | 3 |
| STAT 02514 | Decision Analysis | 3 |
| STAT 02525 | Design and Analysis of Experiments | 3 |
| STAT 02530 | Applied Survival Analysis | 3 |
| STAT 02585 | Introduction to Bayesian Statistical Methods | 3 |
| Bank Two (select no more than 2 courses from these data analytics offerings) | ||
| CS 03552 | Graduate Digital Forensics | 3 |
| DHUM 52500 | Digital Humanities Debates & Methods | 3 |
| GEOG 16560 | Digital Earth: Mapping & Geographic Information Science | 3 |
| MGT 06603 | Process Analytics | 3 |
| MGT 07500 | Prospective Analytics | 3 |
| MGT 07510 | Quality Analytics | 3 |
| MGT 07550 | Operations Analytics | 3 |
| MGT 07600 | Predictive Analytics | 3 |
| Thesis students should take Thesis I, Thesis II, and optionally Thesis III | ||
| DS 03650 | Thesis in Data Science I | 3 |
| DS 03651 | Thesis in Data Science II | 3 |
| DS 03652 | Thesis in Data Science III | 3 |
Admission Requirements
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
Career Outlook & Job Opportunities
As a student in our Master of Science in Data Science program, you will strengthen your skills and better position yourself to pursue a variety of careers in the field of Data Science.
Admissions Information
Deadlines, Tuition and Financial Aid
Entry Terms & Deadlines Tuition 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.
Rates
We 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.
Program Outline
Degree Overview:
The Rowan University Master of Science (M.S.) in Data Science program prepares graduates with a STEM (Science, Technology, Engineering, or Math) background for careers in data science. The program focuses on data mining, modeling, and statistical and machine learning. Students can choose a concentration or select electives to specialize in computer science, statistics, or visual science. The program can be completed part-time or full-time.
Outline:
The M.S. in Data Science program comprises 11 courses totaling 31 graduate semester hours (s.h.). Applicants must have completed (or have equivalents of) 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 program is structured as follows:
- Required Courses (7 s.h.
- ):
- CS 00500 Computer Science Graduate Seminar (1 s.h.)
- STAT 02515 Applied Multivariate Data Analysis (3 s.h.)
- Core Courses (9 s.h., select three):
- CS 02516 Big Data Tools and Techniques (3 s.h.)
- CS 02620 Data Warehousing (3 s.h.)
- CS 07556 Machine Learning I (3 s.h.)
- DS 02510 Visual Analytics (3 s.h.)
- ECE 09555 Advanced Topics In Pattern Recognition (3 s.h.)
- ENGR 01511 Engineering Optimization (3 s.h.)
- MATH 01505 Probability and Mathematical Statistics I (3 s.h.)
- MATH 03511 Operations Research I (3 s.h.)
- STAT 02509 Probability and Statistics for Data Science (3 s.h.)
- Elective Courses/Thesis (15 s.h.
- ): Students choose from a wide range of electives listed under "Bank One" and "Bank Two," including courses in bioinformatics, advanced database systems, information visualization, data mining, data quality, algorithms, deep learning, artificial intelligence, and various statistics and data analytics courses.
Careers:
The M.S. in Data Science program aims to enhance students' skills and prepare them for various data science careers.
Other:
The program is offered in the Spring and Fall terms for international students. International students can defer their admission offers, with some restrictions for transfer students.
Rowan University
Overview
Rowan University, located in Glassboro, New Jersey, is a nationally recognized public research institution known for its innovation, academic excellence, and commitment to student success. With a diverse range of undergraduate and graduate programs in engineering, business, sciences, and more, Rowan offers a dynamic, hands-on learning environment that prepares students for global careers.
Rowan warmly welcomes international students, providing dedicated support services, cultural engagement programs, and a vibrant campus community. From application guidance to visa support and international student orientation, Rowan ensures a smooth transition and enriching experience for students from around the world.
Academic Programs
Rowan University offers a diverse range of academic programs, including:
- Art (Visual and Performing)
- Biological/Biomedical Sciences
- Bioinformatics
- Business (Accounting, Advertising, Management, Marketing)
- Computer Science
- Cyber Security
- Data Science
- Education
- Engineering (Chemical, Civil, Electrical, Mechanical)
- Humanities & Social Sciences
- Mathematics
- Pharmaceutical Sciences
- Psychology
- Public Relations/Strategic Communications
Colleges & Schools
The university is organized into various colleges and schools, each specializing in specific academic areas:
- William G. Rohrer College of Business
- Ric Edelman College of Communication & Creative Arts
- College of Education
- Henry M. Rowan College of Engineering
- College of Humanities & Social Sciences
- College of Performing Arts
- College of Science & Mathematics
- School of Earth & Environment
- Rowan-Virtua School of Osteopathic Medicine (Rowan-Virtua SOM)
- Rowan-Virtua School of Translational Biomedical Engineering & Sciences
- School of Innovation & Entrepreneurship
- Graduate School of Biomedical Sciences
Health & Safety
Rowan University prioritizes the safety and well-being of its students, faculty, and staff through a comprehensive approach to campus security. The Rowan University Department of Public Safety operates 24/7, providing emergency response, crime prevention, and safety education. Through various measures, Rowan University offers a secure learning environment to ensure that students can focus on their education with peace of mind. Key safety measures include:
- Rowan Alert System – A real-time notification system for emergencies, weather alerts, and important campus updates.
- Emergency Blue Light Phones – Strategically placed across campus to provide direct communication with Public Safety.
- Rowan Guardian App – A mobile app that allows students to contact emergency services, send safety alerts, and use a virtual escort feature.
- Police and Security Patrols – Campus is monitored by sworn police officers and security personnel to ensure a safe environment.
- Card Access Control – Residence halls and many academic buildings require Rowan ID card access to enhance security.
- Safety Escorts – Available for students needing assistance traveling on campus at night.
- Self-Defense and Safety Training – Public Safety offers personal safety workshops and self-defense training programs.
Housing Options
Rowan University features nine residence halls and six apartment communities in Glassboro, New Jersey. University and affiliated residences provide easy access to campus resources, recreational facilities and social opportunities. Rates vary depending on the residence hall. You can read more here.
Student Life
Rowan University provides a vibrant campus life with opportunities for students to engage in various activities. Students can participate in various sports and recreational activities, including intercollegiate athletics and intramural sports. Additionally, students can enjoy various entertainment and cultural events on campus. Some services, activities and clubs specificly for international students include:
- International Student Advisors
- Intensive English Language Program
- Graduate Student Association
- International Club
- Cricket Club
- El Circulo de Español
- The Asian Cultural Association
- The Muslim Student Association
- Indian Student Association
- International Education Week
- International New Student Orientation
- Iranian Student Association
- Tax Services
- Writing Workshops
- Job Fairs
- Trips to Surrounding Cities
- & More!
Well-Being Resources
Rowan University understands that international students may face unique mental health challenges, including homesickness, cultural adjustment, and language barriers. That is why Rowan is committed to ensuring that international students feel supported, connected, and at home while studying in the U.S. To support their well-being, the university offers specialized resources tailored to their needs. Key Mental Health Support for International Students include:
- Counseling & Psychological Services (CPS) – Provides free, confidential counseling, including individual therapy and support for cultural adjustment, loneliness, and stress management.
- International Student Support Groups – Safe spaces where international students can share experiences, discuss challenges, and build friendships.
- Let’s Talk Program – Drop-in counseling sessions with therapists, offering informal support for homesickness and emotional concerns.
- International Student Services – Provides guidance and cultural integration programs to help students adjust to life in the U.S.
- Thrive at Rowan – Mental well-being initiatives that offer mindfulness sessions, stress-relief workshops, and self-care strategies.
- Multicultural Events & Clubs – Student organizations and cultural programs that help international students connect with peers and celebrate their heritage.
- 24/7 Crisis Support – Access to an emergency hotline and on-call counselors for urgent mental health concerns.
Student Success
Rowan University is dedicated to helping students succeed academically by offering a variety of resources and support services. These programs provide tutoring, mentorship, study skills development, and other tools to help students reach their full potential. Key Academic Support Services:
- Academic Advising – Each college and school provides academic advisors to help students choose courses, plan their academic path, and stay on track for graduation.
- Tutoring Services – Free tutoring is available through the Academic Success Center, offering one-on-one and group tutoring for various subjects.
- Writing Center – Helps students improve their writing skills through personalized feedback on essays, research papers, and other assignments.
- Mathematics Learning Center – Offers specialized support for students needing help with math courses.
- Library & Research Assistance – Campbell Library provides extensive research resources, librarian assistance, and quiet study spaces.
- Office of Accessibility Services – Supports students with disabilities by providing academic accommodations and assistive technology.
- Success Coaching – Provides personalized coaching to help students with time management, study strategies, and academic planning.
- First-Year Experience Program – Helps first-year students transition to college life with academic support, mentorship, and community-building activities.
- Honors Program & Research Opportunities – Offers enriched coursework, faculty mentorship, and research projects for high-achieving students.
International
The university has a strong international focus with programs and opportunities for students. International-Focused Programs & Opportunities:
- International Student Services – Offers visa support, orientation programs, and cultural integration assistance to help international students transition smoothly into academic and social life at Rowan.
- Study Abroad Programs – Provides students with the opportunity to study in various countries through exchange partnerships and faculty-led trips.
- English Language Programs (ELP) – Helps non-native English speakers improve language skills through intensive English instruction and academic preparation.
- Multicultural & International Student Organizations – A variety of student-led groups celebrate different cultures, promote diversity, and build global connections on campus.
- International Research Collaborations – Opportunities for students to participate in global research projects in fields like engineering, business, and environmental science.
- Internships & Career Services for International Students – Support in navigating work opportunities, internships, and Optional Practical Training (OPT) for international students seeking career growth in the U.S.
- Global Speaker Series & Cultural Events – Regular events featuring international scholars, cultural festivals, and global discussions to encourage cross-cultural learning.
Entry Requirements:
For the M.S.
- Completed Application Form: A completed application form is required to initiate the application process.
- Completed Foundation Courses: Successful completion of 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.
- $65 (U.S.) Non-Refundable Application Fee: A non-refundable application fee of $65 USD is required.
- Bachelor's Degree: A bachelor's degree (or its equivalent) from an accredited institution of higher learning is necessary.
- Official Transcripts: Official transcripts from all colleges attended must be submitted. If documents are not in English, a certified English translation is required.
- Current Professional Resume: A current professional resume/CV is required.
- Statement of Professional Objectives: A typewritten statement outlining professional objectives is needed. Applicants should explain their reasons for pursuing the program, how they intend to use it to advance their careers, and any educational goals beyond the master's level. They should also highlight personal qualities like leadership or talent.
- Letters of Recommendation: Two letters of recommendation are required for M.S. applicants.
- Minimum Undergraduate GPA: A minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale) is required. The text also mentions that if scores are too low, conditional admission may be offered, allowing students to participate in the English Language Program to improve their skills before entering the university. Therefore, the specific requirements must be obtained from Rowan's English Language Policy.
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