Master of Science in Data Science

Program Overview

The Master of Science in Data Science at Rutgers University–Camden is an interdisciplinary graduate program that blends mathematics, computer science, public policy, and prevention science.

Designed to equip students with both theoretical knowledge and practical skills, the program emphasizes machine learning, causal inference, data analytics, and research design. Students can complete the degree in as little as three to four semesters full-time or five to six semesters part-time.

The program requires a minimum of 30 credits, including a capstone project or thesis, and offers flexible learning paths for both recent graduates and working professionals.

Why Choose This Program?

• Interdisciplinary Curriculum: Combines core principles from computer science, mathematics, and social sciences.
• Flexible Study Options: Full-time and part-time tracks accommodate diverse student needs.
• No GRE Required: Streamlined admissions process for qualified applicants.
• Capstone or Thesis Options: Tailor your final project to your career goals or research interests.
• Competitive Scholarships: Awards of up to $10,000 available for top applicants.

Career Opportunities

Graduates of the M.S. in Data Science program are prepared for a wide range of roles, including:

• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Research Scientist
• Business Intelligence Analyst
• Policy Analyst with Data Expertise

This degree also provides a strong foundation for doctoral study or advanced research roles in academia and industry.