Program Overview

Program Overview

The Rutgers-Camden master’s program in Data Science offers a cutting-edge curriculum designed to equip students with the skills and expertise needed to thrive in the rapidly evolving field of data science.

Program Details

• Degree: Master of Science (M.S.)
• Credits: 30 credits
• Format: Full-time or part-time, on-campus
• Duration: 4-5 semesters
• Funding: University and Graduate School Funding Available (Partial Funding Only)

Program Description

The program provides a solid foundation for success, whether students are looking to launch their career or advance in their current role. It offers a strong foundation in data science fundamentals, including data visualization, technical project management, and applied research methodologies. The interdisciplinary approach brings together faculty expertise from Mathematics/Statistics, Computer Science, and Social Science/Humanities, ensuring a well-rounded education.

Key Skills

• Gain vital technical competencies for the data-driven world
• Master R/R Studio, Python, GIS, SQL, and more
• Unleash structured and unstructured data with NLP and text analytics
• Dive into mathematical and statistical data modeling

Career Opportunities

• Prepare for a rewarding career where students can make a difference in diverse industries
• Be at the forefront of innovation
• Discover the limitless possibilities that data science offers

Admissions Requirements

• Transcripts: Official transcripts showing a bachelor’s degree with a minimum GPA of 3.0
• Letters of Recommendation: At least two letters of recommendation, preferably from academic references
• Personal Statement: Personal statement (maximum two pages) about academic interests and career goals
• Standardized Test: GRE scores are not required

Application Deadlines

• Fall: March 15
• Spring: October 15
• Summer: Not Offered

Featured Courses

• Data Mining: Learn data mining, machine learning, and analytics concepts
• Big Data Algorithms: This course covers algorithms and modeling for big data analysis
• Data Management: This course automates research with large datasets via programming
• Data Visualization: This course introduces data visualization techniques and the data science pipeline
• Managing Projects and IT: This course equips future managers with IT’s impact on decision-making and asset management
• Geographic Information Systems (GIS): In this introductory GIS course, focus on practical applications and open-source software

Data Science Community

Get to know this program through archived stories—then discover what sets Rutgers Graduate School-Camden apart. From the Recording Rutgers podcast to faculty spotlights, campus life, alumni journeys, and student experiences, you’ll find a “Community in Action”, grounded in connection, purpose, and possibility.