M.S. Data Science

Housed in the Department of Computer Science and offered in collaboration with the Department of Mathematical Sciences, the interdisciplinary Data Science program offers you the choice of a Computational or a Statistics track, while equipping you with the fundamentals and application tools to solve Data Science problems.

Summary

Provide training in three core components of data science: machine learning, big data analysis and programming for Data Science.
Provide training in applied statistics, particularly statistical inference.
Cover applications and contemporary topics in Data Science.

Apply statistical methods for decision making.
Build and analyze predictive models from data using machine learning and statistical inference.
Program Data Science applications in high-level languages such as Python and R.
Analyze large datasets using high-performance computing and distributed computing methods.
Compare the benefits and drawbacks of contemporary and advanced topics in Data Science.
Make informed architectural decisions based on a good understanding of how available technologies differ and complement each other and what scalability and consistency trade-offs they provide.

M.S. Data Science

Summary

NJIT is a top 10 school for return on investment.

Core Faculty

Wang, David

Wei, Zhi

Wu, Chase Qishi

Basu Roy, Senjuti

Geller, James

Liu, Chengjun

Oria, Vincent

Borcea, Cristian M.

Wang, Guiling

Theodoratos, Dimitrios

Advisement

Bell, Michele A.

Olsen, George W.