Online M.S. in Data Science

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. 
 

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:  

• How to apply  
• Application checklist  
• Important dates and deadlines  
• Graduate program FAQs  
   

Frequently Asked Questions 

• 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. 

• 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. 

• 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. 

• 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. 
   

Get Started  

Next Steps

• Apply Now – Begin your application today
• Request More Information  – Connect with an admissions advisor
• Explore Tuition Support – See if you qualify for tuition reimbursement or financial aid