Education
AI@Harvard
Harvard offers several degree and non-degree programs that allow students to gain foundational knowledge in AI and pursue work across a wide range of contexts.
Degree programs
Harvard John A. Paulson School of Engineering and Applied Sciences
Computer scientists at Harvard pursue work in a wide range of areas including theoretical computer science, artificial intelligence, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, machine learning, and visualization.
Harvard Medical School
The Artificial Intelligence in Medicine (AIM) PhD track, newly developed by the Department of Biomedical Informatics (DBMI) at Harvard Medical School, will enable future academic, clinical, industry, and government leaders to rapidly transform patient care, improve health equity and outcomes, and accelerate precision medicine by creating new AI technologies that reason across massive-scale biomedical data and knowledge.
Harvard Medical School
The Master of Biomedical Informatics (MBI) program at Harvard program will train students to become contributors to the rapidly evolving use of biomedical data for revolutionary advances in scientific inquiry and technological development. This program is created for students who are looking to develop skills in data science in the context of medicine and biological science to improve human health. Through a rigorous combination of core coursework and a year-long full-time thesis research project, our students will graduate with the computational, methodological, and data science skills to contribute to an ongoing revolution in biomedical discovery.
Faculty of Arts and Sciences and Harvard John A. Paulson School of Engineering and Applied Sciences
Data Science lies at the intersection of statistical methodology, computational science, and a wide range of application domains. The program offers strong preparation in statistical modeling, machine learning, optimization, management and analysis of massive data sets, and data acquisition. The program focuses on topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science.
Harvard T.H. Chan School of Public Health
The Master of Science (SM) in Health Data Science is designed to provide rigorous quantitative training and essential statistical and computing skills needed to manage and analyze health science data to address important questions in public health and biomedical sciences.
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Harvard John A. Paulson School of Engineering and Applied Sciences
CSE is an exciting and rapidly evolving field that exploits the power of computation as an approach to major challenges at the frontiers of natural and social science and all engineering fields. Sitting at the intersection of Computer Science and Applied Math, the master’s program offers students experience with mathematical techniques for modeling and simulation of complex systems; parallel programming and collaborative software development; and methods for organizing, exploring, visualizing, processing and analyzing very large data sets.
Harvard Extension School
Develop advanced computational and software development skills and knowledge to solve real-world challenges in the digital age.
Harvard Extension School
Develop the technical and analytical skills you need to discover, analyze, model, and visualize information in today’s data-rich world.
Non-degree programs
Harvard Chan School of Public Health
Continuing Education Credit
The Harvard Chan School Executive and Continuing Professional Education Business Applications for AI in Health Care Certificate of Specialization program is for all health care stakeholders, from the doctor’s office to the business suite. Those who will benefit from this certificate include CEOs, CIOs, Chief Medical Informatics Officers, Chief Medical Officers, Clinicians, Data Scientists, Engineers, Finance Professionals, Product and Project Managers, and Venture Capital Investors.
Harvard Kennedy School of Government, Harvard John A. Paulson School of Engineering and Applied Sciences
Professional Certificate
The Leading in Artificial Intelligence: Exploring Technology and Policy executive program lies at the critical intersection of policy and technology and provides the tools and resources to better navigate this uncharted territory. Innovative yet practical, this program will strengthen your capacity to lead in AI, including how to mitigate risk without inhibiting innovation.
Harvard Business School, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard Faculty of Arts and Sciences
Professional Certificate
Offered through a unique collaboration between three Harvard schools, this cross-disciplinary program prepares you with an advanced combination of next-generation analytics tools while helping you build core management skills.
Harvard Online
Professional Certificate
The demand for expertise in AI and machine learning is growing rapidly. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, AI is transforming how we live, work, and play. This series will enable you to take the first steps toward understanding programming fundamentals so you can solve important real-world problems and future-proof your career.
Harvard Extension School
Professional Certificate
Gain cutting-edge knowledge in the field of artificial intelligence to grow your career.
Harvard Online: View current courses
Harvard Extension School: View current courses