Data Science (M.S.)
Welcome to the Rutgers-Camden master’s program in Data Science. Our program 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. Whether you are looking to launch your career or advance in your current role, our program provides a solid foundation for success.
TAKE THE NEXT STEP
Join us at Rutgers-Camden and embark on an exciting journey to shape the future with data science. Prepare for a rewarding career where you can make a difference in diverse industries and be at the forefront of innovation. Discover the limitless possibilities that data science offers and unlock your potential with us.
Unlock the Power of Data
Gain a strong foundation in data science fundamentals, including data visualization, technical project management, and applied research methodologies. Our interdisciplinary approach brings together faculty expertise from Mathematics/Statistics, Computer Science, and Social Science/Humanities, ensuring a well-rounded education.
Master In-Demand Skills
Gain vital technical competencies for the data-driven world. Master R/R Studio, Python, GIS, SQL, and more, crafting a toolkit for data analysis. Unleash structured and unstructured data with NLP and text analytics. Dive into mathematical and statistical data modeling.
Become a Data Storyteller
Learn the art of effective communication in data science. Develop the ability to assimilate complex information and present it compellingly through writing, oral presentations, and visualizations. Real-world case studies and scenarios will sharpen your skills, ensuring you can convey insights to non-technical audiences using powerful visualization techniques.
Gain Real-World Experience
Take advantage of our industry partnerships, internships, and collaborations with major organizations. Engage with real-world problems and gain practical experience in sectors such as healthcare, education, and social services. Our program connects you with opportunities that align with your interests and provide valuable hands-on learning.
Program Overview
DETAIL | DESCRIPTION |
|---|---|
| DEGREE | Master of Science (M.S.) |
| CREDITS | 30 credits |
| FORMAT | Full-time or part-time, on-campus |
| DURATION | 4-5 semesters |
| FUNDING | University, Graduate School, and Departmental Funding Available (Partial Funding Only) |
Program in Action
PROGRAM Website
Discover program details, graduation requirements, funding, and scholarships for full-time and part-time study. Explore exciting data science opportunities ahead.
Episode 3: A WHOLE NEW WORLD
In this episode, Dhairya Chauhan, a first-year international Data Science graduate student from India, shares insights about his academic journey and experiences.
Featured Courses
View the list of Course Offerings.
DATA MINING
Learn data mining, machine learning, and analytics concepts. Topics include classification, regression, clustering, visualization, and applications in marketing and genomics.
BIG DATA ALGORITHMS
This course covers algorithms and modeling for big data analysis, including information retrieval, streaming algorithms, web search, and crawls. Enhance large-scale data skills.
DATA MANAGEMENT
This course automates research with large datasets via programming. Topics include data cleaning, organization, automation, data types, functions, and programming structures.
DATA VISUALIZATION
This course introduces data visualization techniques and the data science pipeline. Students create graphics and tools using Python and data science packages, addressing industry-specific data challenges.
MANAGING PROJECTS AND IT
This course equips future managers with IT’s impact on decision-making and asset management, blending managerial and technical aspects through case studies and assignments.
GEOGRAPHIC INFORMATION SYSTEMS (GIS)
In this introductory GIS course, focus on practical applications and open-source software. Learn to create maps and conduct research across disciplines.
Admissions Requirements
DETAIL | DESCRIPTION |
|---|---|
| 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, should be presented on official letterhead and include the referees’ contact information |
| PERSONAL STATEMENT | Personal statement (maximum two pages) about academic interests and career goals |
| STANDARDIZED TEST | GRE scores |
Application Deadlines
Preference is given to those submitted before the deadline for both decisions and funding opportunities. Applications received after the deadlines will be considered based on available space and budgetary constraints.
Fall
MAY 15
Spring
OCT 15
Summer
Not Offered
Reach Out to Us
Let’s begin a conversation about your academic and professional goals. If you have questions regarding the curriculum, faculty, admission criteria, or committee, please feel free to contact the Graduate Program Director. For administrative inquiries concerning the application process, campus tuition, and fees, reach out to the Graduate School. We are dedicated to assisting you from application to graduation day.
GRADUATE SCHOOL CONTACT
Erick E. Watt-Udogu
Assistant Dean, Graduate School-Camden
erick.watt-udogu@rutgers.edu
(856) 225-6149
Take the Next Step.
We invite you to explore the boundless opportunities that await you here, where a world-class faculty, diverse community, and innovative curriculum converge to nurture your intellect and foster your professional growth. Your future starts with a simple yet significant act – learning more about the exceptional programs we offer. So, why wait? Start your application journey with us, and together, we’ll unlock a future filled with possibilities and endless success.