M.S. Biostatistics

The Master’s of Science program in Biostatistics gives students the opportunity to fuse their interest in biology with their aptitude for statistics and computing. Students are trained in the application of statistical methods to the area of health sciences.

Summary

The Biostatistics M.S. program will have a quantitative focus and a curriculum that will appeal to students wishing to pursue careers in NJ’s thriving healthcare, life sciences, and biomedical industries, as well as in pharmaceutical research. Active participation in the M.S. program by more than 40 NJIT mathematical sciences faculty produces a stimulating academic environment, which will provide necessary experience and credentials to pursue advanced studies and research in biostatistics.
 
Biostatistics focuses on developing new statistical methods, as well as applying existing techniques, to interpret data about the medical and life sciences. Students will exhibit and/or engage in:

  • Academic Excellence: Students will gain advanced knowledge and experience in the field by fusing their interest in biology with their interest in statistics and computing.
  • Real-world Research: Students will learn how to help pharmaceutical companies test and develop new drugs in a professional lab setting.
  • Policy and  Public Health: Students will learn how to develop public health programs or policies that help people live better.

Graduates of the Biostatistics M.S. program are highly skilled in problem solving and are prepared to succeed in disciplines that generate data and need a scientific conclusion, such as in the health sciences, the economic impact of health, health care and other such areas in the health sectors such as hospitals and government.

While students in the Biostatistics M.S. program learn a wide range of skills and knowledge through their coursework, the specific learning outcomes expected of graduates from the program include:

  1. Ability to apply knowledge of mathematics and statistics methods.
  2. Ability to identify, using exploratory data analysis, techniques to arrive at the needed model.
  3. Ability to formulate a statistical model.
  4. Ability to use mathematics to solve a statistical problem.
  5. Ability to distinguish between a good (or well-founded) statistical model and a bad or (poorly-founded) model.
  6. Ability to communicate effectively. In particular, students learn to communicate concepts and methods of biostatistics to colleagues in their field and others in the related scientific field.
  7. field and others in the related scientific field.
  8. Ability to work effectively, both independently and as part of an interdisciplinary group with the highest level of ethical values.
  9. Recognition of the need for and an ability to engage in lifelong learning.

Core Faculty

Jonathan Smitherson

Moore, Richard O.

Associate Professor

Moore, Richard O.
Associate Professor, Mathematical Sciences
Official
603 Cullimore
Jonathan Smitherson

Dhar, Sunil K.

Professor

Dhar, Sunil K.
Professor, Department of Mathematical Sciences
Official
211B Cullimore
Jonathan Smitherson

Pole, Andrew

Director M.S. in Math and Comp Finance

Pole, Andrew
Director M.S. in Math and Comp Finance, Mathematical Sciences
Official
508 Cullimore Hall
Jonathan Smitherson

Subramanian, Sundarraman

Associate Professor

Subramanian, Sundarraman
Associate Professor, Mathematical Sciences
Official
210-E Cullimore Hall

Advisement

Jonathan Smitherson

Moore, Richard O.

Associate Professor

Moore, Richard O.
Associate Professor, Mathematical Sciences
Official
603 Cullimore
Jonathan Smitherson

Dhar, Sunil K.

Professor

Dhar, Sunil K.
Professor, Department of Mathematical Sciences
Official
211B Cullimore