Rowan University United States

M.S. in Data Science (M.S. in D.S.)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon March 2027

Course Overview

The M.S. in Data Science (M.S. in D.S.) at Rowan University empowers you to navigate and lead in the increasingly data-centric professional landscape. This postgraduate degree is meticulously crafted for individuals eager to master the analytical techniques and computational tools essential for extracting actionable insights from complex datasets. You will explore foundational concepts and advanced applications in areas such as visual analytics, data warehousing, and data mining, preparing you to address critical challenges and drive innovation across diverse industries. This program is your pathway to becoming a proficient data scientist.

You will pursue this comprehensive Master of Science degree on campus, studying full-time over two years. The curriculum offers specialized tracks in Health Data Analytics or Business Data Analytics, alongside a general option, allowing you to tailor your learning to your career aspirations. Through required courses and a capstone practicum, you will gain hands-on experience applying sophisticated methodologies like machine learning and predictive analysis to real-world scenarios. Upon graduation, you will possess the advanced skills and strategic perspective necessary for roles in data analysis, business intelligence, and data science.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The M.S. in Data Science program offers a robust curriculum designed to equip students with advanced analytical skills. Core courses cover essential topics such as visual analytics, data warehousing, data mining, and multivariate data analysis. Students can further specialize through concentrations in Health Data Analytics or Business Data Analytics, or opt for a general track, all culminating in a capstone practicum. A selection of elective courses allows for further exploration of specialized areas within data science.

1 Required Courses (3 credit hours each)

Visual Analytics
Data Warehousing
Data Mining I
Applied Multivariate Data Analysis

2 Health Data Analytics Concentration (18 credit hours)

Patient Data Understanding
Data Quality and Web/Text Mining
Data Analytics Capstone Practicum
Healthcare Management

3 Business Data Analytics Concentration (18 credit hours)

Design and Analysis of Experiments
Managerial Decision Making Tools
Predictive Analysis
Data Analytics Capstone Practicum

4 No Concentration (18 credit hours)

Data Analytics Capstone Practicum

5 Elective Courses (6 credit hours)

Patient Data Privacy & Ethics
Healthcare Management
Design and Analysis of Experiments
Information Visualization
Data Mining II
Advanced Topics in Database Systems
Data Quality and Web/Text Mining
Patient Data Understanding
Advanced Database Systems: Theory and Programming
Advanced Design and Analysis of Algorithms
Machine Learning
Advanced Topics in Pattern Recognition
Advanced Topics in Data Science
Managerial Decision Making Tools
Predictive Analysis
Decision Analysis
Applied Survival Analysis

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 14,824.00
Second Year Fee Tuition fee
USD 14,824.00
Total Program Cost Estimated total tuition
USD 29,648.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,325.00 - USD 3,705.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Glassboro Campus.

Outcomes & Employability

What happens after you graduate

93%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Aerospace Engineering & DesignBlockchain & Emerging TechnologiesCurriculum & Instructional DesignCustomer Experience & SupportDefense & Military SecurityEdTech & E-LearningEvent & Experiential MarketingMarketing Analytics & Data ManagementProduct Design & PrototypingResearch & Product Development

Top Employers Hiring for this course

Camden City School District

Camden County College

General Dynamics Information Technology

Google

IBM

Lockheed Martin

Why Study M.S. in Data Science (M.S. in D.S.) at Rowan University

What makes this program stand out

March 2027 Closing soon

Next intake is in March 2027

Moderate Application response time

Rowan University typically responds to applications within 1 - 2 weeks, giving you clarity on your options quickly.

Life at Rowan University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about M.S. in Data Science (M.S. in D.S.) at Rowan University

Can I work while studying?

International students can work up to 20 hours per week during the term and full-time during breaks. On-campus work does not require additional permits, while off-campus work needs university approval after the first year.

What English language score do I need for this course?

To be eligible, you must meet specific English test requirements such as a minimum Duolingo score of 110 in all categories or a TOEFL overall score of 70. Be sure to check the specific scores for each test to confirm your eligibility.

What jobs can I get after studying this course?

Graduates can pursue roles like Data Analyst, Business Intelligence Analyst, Data Scientist, Data Engineer, and Health Data Analyst.

What will I actually study in this course?

The M.S. in Data Science (M.S. in D.S.) at Rowan University empowers you to navigate and lead in the increasingly data-centric professional landscape. This postgraduate degree is meticulously crafted for individuals eager to master the analytical techniques and computational tools essential for extracting actionable insights from complex datasets. You will explore foundational concepts and advanced applications in areas such as visual analytics, data warehousing, and data mining, preparing

When can I start — what are the intake months?

The M.S. in Data Science program at Rowan University has two intake months: March and September. Make sure to apply ahead of these dates to secure your spot.
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