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Online M.S. in Data Science
College of Computing
Transform Complex Data into Real-World Solutions with NJIT
NJIT’s online data science master’s degree gives you the flexibility to advance your career while mastering the tools and techniques shaping the future of data. Designed for working professionals, the program teaches you to solve complex problems using machine learning algorithms, statistical modeling and Python for data science — paired with real-world experience in tools like Python and Tableau. You’ll gain hands-on expertise in data wrangling techniques, natural language processing and cloud computing in analytics. With a focus on innovation, impact and flexibility, our online format empowers you to gain in-demand technical skills and open doors to new opportunities in an economy fueled by data — on your schedule.
Why Choose NJIT for Your M.S. in Data Science?
As a top public university, NJIT delivers an affordable online master’s in data science that blends deep technical training with practical experience. NJIT’s M.S. in Data Science offers the advanced training and flexibility you’d expect from programs at the top universities for data science. Located near New York City, NJIT offers strong connections to employers across the tech and finance sectors.
Program Overview
Students who complete NJIT’s accredited data science master’s online program gain foundational knowledge in machine learning, statistical modeling and data visualization, while gaining opportunities to explore big data platforms and cloud computing in analytics. Coursework focuses on turning raw data into actionable insights using industry tools like Python and Tableau.
- Total credits: 30
- Average completion time: 2 years for part-time students (9 or fewer credits per semester); full-time students may finish sooner.
- Format: 100% online*
- Core Curriculum
- How to Apply
- Financial aid options
*On-campus format is also available at NJIT’s Newark location.
With a flexible online format, this data science MS for working professionals allows you to study on your schedule. If you’re exploring graduate programs in data analytics and science, NJIT makes it easy to get started.
Who Should Apply?
This program is ideal for:
- Professionals looking to advance their careers with an advanced degree in data science
- Recent graduates with a background in STEM seeking to develop advanced data analytics skills
- Individuals looking to transition into data-focused roles such as data scientist, analyst or machine learning engineer
- Professionals interested in gaining expertise in machine learning, big data platforms and artificial intelligence applications
What You’ll Learn
Graduates of NJIT’s M.S. in Data Science can expect to gain:
- The ability to acquire, clean and manage massive data sets using data wrangling techniques and Python for data science
- Hands-on experience designing, implementing and evaluating advanced statistical modeling approaches to address real-world business and technology challenges
- Expertise in econometric and statistical methods for projections, classification, clustering, pattern analysis, sampling and simulations
- Skills in researching end-user behavior and applying data visualization tools to summarize findings and support strategic decisions
- Proficiency in machine learning algorithms, natural language processing and artificial intelligence applications to solve complex prediction and recognition tasks
Career Outcomes
Graduates can pursue many career paths with a master’s in data science, including roles in technology, finance, healthcare and beyond. This includes positions such as:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- AI Solutions Developer
If you’re ready to build the foundation to excel in fast-paced, data-driven environments where advanced analytical and technical skills are highly sought after, NJIT can help you get there, apply today.
Admissions Requirements
This program accepts students for the Fall, Summer and Spring semesters. For helpful resources on how to apply for the M.S. in Data Science online program, refer to:
Why an M.S. in Data Science Matters Today
There’s never been a better time to pursue an advanced degree in data science. Organizations across every industry are racing to harness the power of data, creating urgent demand for professionals with advanced analytical and technical skills. NJIT’s online M.S. in Data Science helps you meet that demand — equipping you with real-world tools and experience to lead in this high-growth field.
With flexible online learning, expert faculty and affordable tuition, this program makes it possible to gain cutting-edge knowledge without putting your life on hold. If you're looking to step into a future-proof career path, now is the time — and NJIT is the place.
Companies Based in and Around Newark, New Jersey Hiring M.S. in Data Science Graduates
| Financial Services | Healthcare and Insurance | Technology |
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Frequently Asked Questions
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Is a master’s in data science worth it?
Yes — especially in today’s data-driven economy. A master’s in data science opens the door to high-paying, in-demand roles in industries like technology, manufacturing, robotics, healthcare, pharma, finance, banking, sports and government — it also provides the advanced skills needed to stay competitive.
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How long does it take to get a data science master’s degree?
Most students complete NJIT’s online M.S. in Data Science in about two years on a part-time schedule, though full-time students may finish sooner depending on course load.
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Do I need a computer science background for data science?
A bachelor's in computer science isn’t required, but a STEM degree is. Some experience with coding and an undergraduate course in statistics are expected. NJIT’s curriculum is designed for students with technical or quantitative foundations, offering the flexibility to build up computing skills as you deepen your expertise in data science.
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What should I expect in a data science master’s program?
Expect a mix of theory and hands-on learning in areas like machine learning, data wrangling, statistical modeling and data visualization. You’ll work with tools such as Python, R and Tableau and gain experience applying data science methods to real-world challenges.
See additional Graduate FAQs here.
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