Master of Science [M.S] (Data Science)
Field of Study:
$10,050 /Yr
M.S Data Science from Rowan University Overview
The Master of Science in Data Science at Rowan University is a two-year graduate program designed to equip students with advanced analytical, computational, and statistical skills needed to extract insights from complex data. Applicants must have a minimum undergraduate GPA of 2.5 on a 4.0 scale. While GRE scores are recommended, they are not mandatory. International applicants must demonstrate English proficiency with one of the following minimum scores: IELTS – 6.0, Duolingo – 110, TOEFL iBT – 70, or PTE – 50. The program consists of 31 total credits and requires the submission of a complete online application along with a $65 application fee, official transcripts, degree certificate, personal statement, CV/resume, and two letters of recommendation.
M.S Data Science from Rowan University Dates
Applications to the M.S Data Science from Rowan University are accepted for 2026 intakes, with deadlines of 1 November 2025.
M.S Data Science from Rowan University Fees
The annual cost of pursuing the M.S Data Science from Rowan University is approximately $31482, which includes $15010 in tuition fees and an estimated $16472 for living expenses, inclusive of housing, food, transportation, books & supplies, health insurance, and personal expenses.
M.S Data Science from Rowan University Module
The Master of Science (M.S) in Data Science program at Rowan University consists of the following modules:
| S.No | Module Name | Type |
|---|---|---|
| 1 | Computer Science Graduate Seminar | Required |
| 2 | Data Mining I | Required |
| 3 | Applied Multivariate Data Analysis | Required |
| 4 | Big Data Tools and Techniques | Core |
| 5 | Data Warehousing | Core |
| 6 | Machine Learning I | Core |
| 7 | Visual Analytics | Core |
| 8 | Advanced Topics In Pattern Recognition | Core |
| 9 | Engineering Optimization | Core |
| 10 | Probability and Mathematical Statistics I | Core |
| 11 | Operations Research I | Core |
| 12 | Probability and Statistics for Data Science | Core |
| 13 | Bioinformatics - Advanced Biological Applications | Elective (Bank 1) |
| 14 | Bioinformatics - Advanced Computational Aspects | Elective (Bank 1) |
| 15 | Advanced Database Systems: Theory and Programming | Elective (Bank 1) |
| 16 | Information Visualization | Elective (Bank 1) |
| 17 | Data Mining II | Elective (Bank 1) |
| 18 | Data Quality and Web/Text Mining | Elective (Bank 1) |
| 19 | Advanced Topics in Database Systems | Elective (Bank 1) |
| 20 | Advanced Design and Analysis of Algorithms | Elective (Bank 1) |
| 21 | Advanced Models of Deep Learning | Elective (Bank 1) |
| 22 | Concepts in Artificial Intelligence | Elective (Bank 1) |
| 23 | Machine Learning II | Elective (Bank 1) |
| 24 | Data Science Capstone Practicum | Elective (Bank 1) |
| 25 | Patient Data Understanding | Elective (Bank 1) |
| 26 | Patient Data Privacy & Ethics | Elective (Bank 1) |
| 27 | Healthcare Management | Elective (Bank 1) |
| 28 | Digital Humanities Debates & Methods | Elective (Bank 1) |
| 29 | Reinforcement Learning | Elective (Bank 1) |
| 30 | Artificial Neural Networks | Elective (Bank 1) |
| 31 | Advanced Topics in Systems, Devices, and Algorithms in Bioinformatics | Elective (Bank 1) |
| 32 | Discrete Event Systems | Elective (Bank 1) |
| 33 | Advanced Engineering Cyber Security | Elective (Bank 1) |
| 34 | Advanced Portable Platform Development | Elective (Bank 1) |
| 35 | Advanced Emerging Topics in Computational Intelligence, ML, & DM | Elective (Bank 1) |
| 36 | Advanced Computational Intelligence and Machine Learning | Elective (Bank 1) |
| 37 | Probability and Mathematical Statistics II | Elective (Bank 1) |
| 38 | Introduction to Statistical Data Analysis | Elective (Bank 1) |
| 39 | Decision Analysis | Elective (Bank 1) |
| 40 | Design and Analysis of Experiments | Elective (Bank 1) |
| 41 | Applied Survival Analysis | Elective (Bank 1) |
| 42 | Introduction to Bayesian Statistical Methods | Elective (Bank 1) |
| 43 | Graduate Digital Forensics | Elective (Bank 2) |
| 44 | Digital Humanities Debates & Methods | Elective (Bank 2) |
| 45 | Digital Earth: Mapping & Geographic Information Science | Elective (Bank 2) |
| 46 | Process Analytics | Elective (Bank 2) |
| 47 | Prospective Analytics | Elective (Bank 2) |
| 48 | Quality Analytics | Elective (Bank 2) |
| 49 | Operations Analytics | Elective (Bank 2) |
| 50 | Predictive Analytics | Elective (Bank 2) |
| 51 | Thesis in Data Science I | Thesis |
| 52 | Thesis in Data Science II | Thesis |
| 53 | Thesis in Data Science III | Thesis (Optional) |
Important Alert
- Application Deadline For Fall 2026 Intake - Jul 1, 2026
Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | $10050 |
Other Expenses
| Head | Avg Cost Per Year |
|---|---|
| Housing | $11214 |
| Food | $5258 |
Previous Year Tuition Fees
| Year | 1st Year Fees |
|---|---|
| 2024 | $10050 |
| 2023 | $22800 |
| 2022 | $16098 |
Important Dates
| Event | Application Date |
|---|---|
| Application Deadline For Spring 2026 Intake | |
| Application Deadline For Fall 2026 Intake | Jul 1, 2026 |
Reviews
4 Reviews Found
I chose this university as it was a Public university and it had great research opportunities. It was not that expensive as well and had great on campus job opportunities. The college life was great like I got exposure to the American culture and American sports since I was working at the recreational center as a basketball ref, and I made a lot of American friends being an international student, it was a great opportunity for me.
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College Student Profiles
Scholarship Grants & Financial Aids
| Name | Scholarship Per Student | Level of Study | Type | |
|---|---|---|---|---|
| TEC Scholarship | Scholarship per student$ 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
| BeArt Presets-Academic Scholarship | Scholarship per student$ 2,500/Yr$2,500 | Level Of StudyBachelor | TypeMerit-Based | |
| Chuan Ai Lu Engstrom Memorial Scholarship | Scholarship per student$ 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
| Bharat Petroleum Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
| Comindware Scholarship | Scholarship per student$ 4,000/Yr$4,000 | Level Of StudyApprenticeship | TypeMerit-Based | |
| Forktip Women’s- Innovation Scholarship | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific |
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| Program | Important Dates |
|---|---|
| M.S Computer Science | Application Deadline For Spring 2026 Intake (1st Nov 2025) Application Deadline For Summer 2026 Intake (1st Apr 2026) Application Deadline For Fall 2025 Intake (1st Jul 2026) |
| M.S Pharmaceutical Sciences | Application Deadline for Spring intake (1st Nov 2025) Application Deadline for Summer intake (1st Apr 2026) Application Deadline For Fall 2026 Intake (1st Jul 2026) |
| M.S Data Science | Application Deadline For Spring 2026 Intake (1st Nov 2025) Application Deadline For Fall 2026 Intake (1st Jul 2026) |
| M.B.A | Application Deadline For Spring 2026 Intake (1st Nov 2025) Application Deadline For Summer 2026 Intake (1st Apr 2026) Application Deadline For Fall 2026 Intake (1st Jul 2026) |
| M.S Electrical and Computer Engineering | Application Deadline For Spring 2026 Intake (1st Nov 2025) Application Deadline For Summer 2026 Intake (1st Apr 2026) Application Deadline For Fall 2026 Intake (1st Jul 2026) |
| B.S Computer Science | Application Deadline For Spring 2026 Intake (15th Dec 2025) Application Deadline For Fall 2026 Intake (6th Jul 2026) |
| M.B.A Supply Chain and Logistical Systems | Application Deadline For Spring 2026 Intake (15th Dec 2025) Application Deadline For Fall 2026 Intake (6th Jul 2026) |
| M.B.A Finance | Application Deadline For Fall 2025 Intake (29th Apr 2025) |
| M.B.A Management Information Systems | Application Deadline For Spring 2026 Intake (1st Nov 2025) Application Deadline For Summer 2026 Intake (1st Apr 2026) Application Deadline For Fall 2026 Intake (1st Jul 2026) |
| M.S Chemical Engineering | Application Deadline For Fall 2025 Intake (29th Apr 2025) |
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