The culminating capstone experience allows students to gain valuable, real-world exposure under the guidance of experienced Biostatisticians and Data Scientists.
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, a.
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.
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.
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.
An online MPH in biostatistics allows students who have a passion for numbers and information an opportunity to turn what they love into an exciting career.
The University of Minnesota gives each student a chance to learn from the best possible teachers in the Minnesota area.
Harvard Biostatistics tied with Johns Hopkins University and the University of Washington as the highest ranked biostatistics programs, ranking third among statistics programs overall.
Biostatistics and statistics both involve data collection and interpretation.
Statistics is a broad approach to data analysis and collection.
The key distinction is that biostatistics uses statistical methods to answer questions pertaining to topics in biology.
Coursework for these degrees may overlap, but typically, statistics is more theoretical.
Skills include:
