The Biostatistics and Data Science program provides top-class training in biostatistics, as well as the analytic techniques used in data science to prepare students for the data-driven challenges of today's world. By providing a firm foundation on the theory of biostatistics and a hands-on experience in data analysis, the track prepares students for data analytic careers in the pharmaceutical industry, healthcare, biomedical sciences, academics, and general data analytics.
Each student acquires hands-on experience through a faculty-mentored research project that begins in the first term and culminates in a capstone/portfolio final project.
The Biostatistics and Data Science program has close ties to other programs within the Weill Cornell Medical College and Cornell University, the Department of Statistical Sciences at Cornell University, the Cornell Tech campus in New York City, and New York-Presbyterian Hospital. Full-time students can complete the M.S. in Healthcare Policy & Research program with the Biostatistics and Data Science track in 12 months, and part-time students in 20 months. Students must complete at least 34 credits to graduate.
Our program in Biostatistics and Data Science is unique in its training in cutting edge data mining and machine learning techniques yet retains the rigor of a traditional Biostatistics program.
We keep our class size and student-to-faculty ratio low so that our students get the most personalized experience possible. Because of this, close mentorship with a faculty member throughout the entirety of the program is provided to all of our students. Many even continue their relationship well beyond becoming alumni and working in their careers.
Graduates, skilled in the management, analysis and visualization of big data, are prepared for challenging careers in the public and private biomedical, healthcare, insurance and pharmaceutical sectors, both in academia and the industry.
Students from all over the world join this program with backgrounds in science (e.g. statistics, mathematics, biology etc.), engineering, health and medicine. Their diversity creates a unique, collaborative learning environment.
Being in New York City is a huge asset for our program. Local institutions collaborating with Weill Cornell Medicine include NewYork-Presbyterian Hospital, Memorial Sloan Kettering Cancer Center, the Hospital for Special Surgery, The Rockefeller University, the State Department of Health, the New York City Department of Health and Mental Hygiene, and more. In addition, the tri-state area is home to one of the largest pharmaceutical hubs in the country, including Johnson and Johnson, Sanofi, Merck, Roche, Novartis, Bayer, Bristol-Myers Squibb, and Pfizer.
The culminating capstone experience allows students to gain valuable, real-world exposure under the guidance of experienced Biostatisticians and Data Scientists.
Our faculty are nationally recognized experts in biostatistics, health informatics, health policy, economics, health services research, cost-effectiveness, and comparative-effectiveness. Our NYC location allows for collaboration between experts and researchers at neighboring institutions, such as NewYork-Presbyterian Hospital, Hospital for Special Surgery, and Memorial Sloan Kettering Cancer Center.
Area of Study
This program provides comprehensive training in statistics concepts and programming which are taught hands-on with real-world applications used to solve the data-driven challenges of today’s world. Students augment this core training with the knowledge of healthcare through elective courses and gain invaluable real-world exposure during their capstone experience.