M.S. Statistics Degree with Specialization in Computational Life Sciences

The Computational Life Sciences (CLS) program is an interdisciplinary graduate specialization offered by the participating departments, also known as the 'home departments', at the MS level. The following 'home departments' offer the Computational Life Sciences specialization:

• Agronomy
• Biological Sciences
• Chemical Engineering
• Computer Sciences
• Computer Technology
• Electrical and Computer Engineering
• Statistics

The program provides students with the opportunity to obtain a masters degree in a specific science or engineering discipline along with skills in computational life sciences. The objective of the program is to train students with skills and interest both in computational tools and in techniques in the life sciences. These skills, in turn, will help prepare them for careers at the intersection of computation, engineering, and life sciences and that facilitate the understanding of biological processes. The M.S. student in this specialization must meet the usual requirements of the M.S. Degree in Statistics and in addition complete a minimum of 10 credit hours of CLS courses which can be satisfied by CLS introductory modules (5-weeks each), CLS core courses, and CLS relevant courses specified by the Department. Undergraduates applying for the CLS specialization should have a strong foundation in several areas of life science, engineering, statistics, and computing.

To see more information about the CLS program at Purdue, please visit their website at: http://www.gradschool.purdue.edu/cls/

If you are interested in applying, please visit How to Apply.