- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
Below are the four optional focus areas: Data Science, Interactive Technology, UX Design, and Networks, Crowds and Markets. A framework designed to help MPS students structure their studies, these focus areas contain a mix of Information Systems category and Human and Social Systems category courses. See the Requirements page for more information.
See this Google Sheet for a list of all MPS courses, which are categorized by IS/HSS and the focus areas. Pre-approved electives are also listed in this spreadsheet.
Analyzing data to learn about the world
Learn to analyze large amounts of data using data mining techniques and strong programming skills. Identify relevant questions, capture, process and analyze data from multiple sources to help answer the questions, and organize and communicate the results for effective decision making.
Designing and building systems
Learn to design and build functional technical systems. Develop the technical skills needed to build novel interactive tools, both hardware and software, in various domains: health, education, business, and more.
Studying and designing interfaces
Learn to design and develop technology products from a human-centered perspective, providing users with meaningful experiences and a positive impact on society at large. Develop the skills needed to apply user research methods, product design, and creating successful interactive products.
Networks, Crowds, and Markets
Modeling decision-making and policy
Learn to analyze and understand online social systems, human behavior, and decision making in interconnected systems. Apply formal models, data and policy issues drawn from economics, sociology, computer science, mathematics, ethics, and law to analyze and design networked online systems.