MS in Biostatistics and Data Science

Preparing students for the data-driven challenges of today's world. Our ms in biostatistics and data science program provides top-class training in biostatistics and data science techniques that are essential to collect, manage, and analyze biomedical and health data. 

Our coursework offers students a foundation for data science careers in health-related fields and beyond. 

Real-World Skills
We provide comprehensive hands-on training in statistical concepts and programming. During the MS in Biostatistics and Data Science program, students will:

• Use state-of-the-art statistical and data science approaches to address modern data challenges.
• Gain invaluable real-world exposure under the guidance of experienced biostatisticians and data scientists.
• Build experience in the field through a faculty-mentored research project.
• Take advantage of NYC’s proximity to leading educational institutions and some of the largest pharmaceutical hubs in the country.
• Create close professional relationships with a diverse faculty, through low student-to-faculty class ratios.
• Exposure to specializations such as health services research, cost-effectiveness, and comparative-effectiveness.

Unique Expertise

• Our MS in Biostatistics and Data Science program is unique as it focuses on data mining and machine learning techniques yet retains the rigor of a traditional Biostatistics program.
• Students from all over the world join this track with backgrounds in science (e.g., statistics, mathematics, biology, etc.), engineering, health and medicine.
• Graduates are prepared for data science careers in the public and private biomedical, healthcare, insurance and pharmaceutical sectors, both in academia and industry.

BDS Student - Recommended Curriculum Progression

• Starting in Fall 2023, students will be recommended to follow the schedule below in order to ensure eligibility for graduation. The Education Team will monitor progression, but it is ultimately the student’s responsibility to track their progression to ensure they meet graduation requirements. Course offerings and course availability are subject to change.

Fall Term 1
Typical course load is 12 credits

• Biostatistics I with R Lab (HBDS 5005) - Required
• Study Design (HBDS 5015) - Required
• Categorical and Censored Data Analysis (HBDS 5016) - Required
• Data Science I (R and Python) (HBDS 5018) - Required
• Master’s Project 1 and Professional Development (HCPR 9010) - Required
• Statistical Programming with SAS (HBDS 5011) - Recommended Elective
• Intro to Health Services Research (HBDS 5002) - Elective

Spring Term 1
Typical course load is 12 or 15 credits

• Biostatistics II - Regression Analysis (HBDS 5008) - Required
• Master’s Project 2 (HCPR 9020) - Required
• Data Management (SQL) (HBDS 5021) - Recommended Elective
• Big Data in Medicine (HBDS 5020) - Recommended Elective
• Artificial Intelligence in Medicine (HINF 5012) - Elective
• Health Data for Research (SAS) (HPEC 5003) - Elective

Summer Term 1
Typical course load is 3 credits 

• Master’s Project 3 (HCPR 9030) - Required

Fall Term 2
Typical course load is 6 or 9 credits

• Data Science II – Statistical Learning (HBDS 5014) - Required
• Design & Analysis of Biomedical Studies (HBDS 5013) - Recommended Elective
• Modern Methods for Causal Inference (HBDS 5017) - Recommended Elective
• Pharmaceutical Statistics (HBDS 5019) - Recommended Elective
• Hierarchal Modeling & Longitudinal Data Analysis (HBDS 5010) - Required
• Study Designs & Comparative Effectiveness (HPEC 5006) - Elective