Program Overview

Introduction to the MS in Health Data Science Program

The MS in Health Data Science program at Dartmouth provides rigorous training in the theory and application of data science methodology to produce innovators and thought leaders able to tackle the most pressing challenges within the health and biomedical fields.

Program Overview

The program is a 21-month, 100% online degree that enables working professionals to gain foundational knowledge and skills needed to become innovators and thought leaders within health data science while balancing other demands. This distinctive program includes training on the theory and application of foundational data science topics, including:

• Programming
• Visualization
• Biostatistics
• Epidemiology
• Machine learning, including classification models
• Artificial intelligence

These skills are applied to solve complex problems within the biomedical, healthcare, and behavioral health sciences. Students also gain experience designing and executing their own health data science projects using real-world data in the capstone course. All course content is developed and delivered by leaders and active researchers within health data science at Dartmouth College.

Program Structure

The program is designed for working professionals seeking an Ivy League graduate degree in a flexible format. It can be completed in less than 2 years, featuring weekly live lectures and consistent, predictable scheduling that allows students to plan and complete assignments when convenient. Each class comprises about 35 students, fostering a collaborative environment through consistent peer interaction in small group settings across the 15 courses, which are taken sequentially over 21 months.

Capstone Project

The program’s capstone project in the final term addresses a real-world challenge, providing tangible experience in the field. This project is a culmination of the skills and knowledge gained throughout the program, allowing students to apply their learning to practical problems in health data science.

Networking Opportunities

Throughout the program, students have opportunities to network with peers, faculty, and alumni, enhancing both their educational and professional development. The format is specifically tailored to accommodate the schedules of working professionals, ensuring that live classes and assignment due dates are consistent and predictable.

Student Groups and Community

Students are warmly invited to join the bi-quarterly Journal Club dedicated to exploring the latest advancements in AI and machine learning within health data science. This collaborative forum offers a unique opportunity to dive into cutting-edge research, engage in insightful discussions, and connect with peers and experts who share a passion for transforming healthcare through technology.

Program Details

• Duration: 21 months
• Format: 100% online
• Class size: Approximately 35 students
• Courses: 15, taken sequentially
• Capstone project: Addresses a real-world challenge in the final term

Career Opportunities

Graduates of the program are positioned to instantly collaborate as health data scientists across multiple sectors, including:

• Biotechnology and pharmaceutical industries
• Healthcare and behavioral health sectors
• Government
• Non-profits
• More

The program provides a unique education and essential skills for leadership, innovation, and creativity, enabling graduates to make a difference in their communities.