The study of computing is highly interdisciplinary at UW-Madison and includes study and research in departments and institutes across the university. Below are graduate-level and professional programs that prominently feature computing as part of the curriculum, both within departments and through campus-wide degree programs. There is also a large variety of computing-related graduate and undergraduate level courses offered by departments across campus.
Computer Science
MS/PhD in Computer Science
The Department of Computer Sciences offers the Master of Science and a Doctor of Philosophy in Computer Sciences. Research specialty areas include artificial intelligence, computational biology, computer architecture, computer graphics, computer networks, computer security, database systems, human–computer interaction, numerical analysis, optimization, performance analysis, programming languages and compilers, systems research, and theoretical computer sciences.
Professional Capstone Certificate Program in Computer Science
If you have obtained a bachelor’s degree in a field other than computer sciences, but now want to learn the fundamentals of computer sciences so that you can apply for software developer jobs, the new Professional Capstone Certificate Program is for you.
Professional Master's Program in Computer Science
The program is designed such that working professionals can complete the program and earn an M.S. degree within two years. Professional Master’s students can take coursework in many areas: artificial intelligence, computational biology, computer architecture, computer graphics, computer networks, computer security, database systems, human–computer interaction, numerical analysis, optimization, performance analysis, programming languages and compilers, systems research, and theoretical computer sciences.
Engineering
Engineering Data Analytics MS
Be the one leadership turns to when they’re trying to solve complex engineering problems. You’ll be the one who can lead the decision-making process because you have technical expertise and the data to back you up.
Engineering is relying on data more than ever before, but few people understand how to use it. Whether you’re trying to figure out where the power is flowing on the grid, or how to anticipate when and where an accident could happen, you will be able to analyze and interpret data to develop innovative engineering solutions. Earn the top-ranked online Master of Engineering: Engineering Data Analytics degree from UW–Madison.
iSchool
Mad UX Certificate Program
Students gain introductory through intermediate user experience skills to plan, design, and assess innovative digital user experiences via digital applications and media. You can complete the certificate entirely online, within one calendar year allowing for balance of your education, work and life.
Statistics
MS in Data Science
Data science is the study of extracting knowledge from data. Our MSDS combines a background in statistical theory, methods and practice related to data science with communication skills to train a new generation of leaders who will use data effectively for planning and decision making.
Data science concepts enable students to translate vague questions about complex data into pragmatic analysis steps using statistical thinking. We build from basic methods that compare groups and relate measurements, to more complicated models that depend on the way data are gathered. In practice, planning and decision making involve choices about how to analyze data and communicate findings. These concepts will be grounded at key points with projects that involve real data and/or realistic simulated data.
MS in Biostatistics
The Biostatistics Degree Option (BDO) is a specialization within the Statistics MS/PhD Programs that is implemented jointly by the Departments of Statistics and of Biostatistics & Medical Informatics. MS students prove competency through an applied examination.
PhD in Biostatistics
The Biostatistics Degree Option (BDO) is a specialization within the Statistics MS/PhD Programs that is implemented jointly by the Departments of Statistics and of Biostatistics & Medical Informatics. PhD students pursue a faculty-mentored interdisciplinary collaborative research project and thereby become directly engaged in an active biomedical problem.