Discover the Foundations of Data Science at NJIT

The M.S. in Data Science covers basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and big data, all of which are essential skills for a high-performing data scientist. To be admitted to the program, we require a basic background in Mathematics (calculus, linear algebra), Statistics (probability and basic stats) and Software Development (programming, data structures and algorithms). Courses consist of formal lectures as well as hands-on programming projects. The program curriculum uses the Python programming language with its data science libraries and features tools like R for statistical analysis and Tableau for data visualization. 

Students work on homework assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

MS in Data Science graduates will enter the workplace with the education and training to: 

• Be able to acquire, clean, and manage massive data sets.
• Play an analytical role in your company where you design, implement, and evaluate advanced statistical models and approaches for application to your company’s most complex problems.
• Be able to provide econometric and statistical models for a variety of problems including projections, classification, clustering, pattern analysis, sampling and simulations.
• Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings.
• Apply modern artificial intelligence and deep learning methods to complex prediction and recognition tasks.

View the Curriculum

Course listing and prerequisites