Psychology: Data Science in Human Behavior MS
Master of Science in Psychology
Is this program right for you?
The Master of Science in Psychology: Data Science in Human Behavior at UW–Madison fills a large and growing gap in the marketplace by training students with an undergraduate degree in a core behavioral science to use advanced data science tools and specialized knowledge to solve applied problems related to how humans act.
- You’ll learn to design and execute data analyses relevant to questions about human psychology and behavior
- Receive rigorous training in statistics and learn how to apply machine learning and other contemporary data science tools to large datasets
- During the final semester, you will be placed with a company or organization where you will gain real-world experience by conducting an applied capstone project
Education that works for you
Use modern data science tools to analyze and understand human behavior with the Master of Science in Psychology: Data Science in Human Behavior.
Program type
Master’s degree
Degree awarded
Master of Science in Psychology
Commitment
16 months
Tuition
$1,200 per credit
Format
Accelerated
Face-to-face
Credits
33 graduate credits
Admission terms
Program only admits for fall term
Offered by
STEM opt eligible
Yes
International eligibility
Yes
Application deadlines
Fall 2025
- Deadline: March 31, 2025
Fall 2026
- Deadline: March 31, 2026
Fall 2027
- Deadline: March 31, 2027
Your questions, answered
Have questions? Fill out this form and we’ll get in touch!
Admissions and events
Program requirements
Application materials required
December 4, 2024 from 12 p.m. to 12:30 p.m.
iSchool Master’s Programs
Learn strategies to make your application stand out, whether you are applying to the Information MS program or the Library & Information Studies MA program.
Register now →December 12, 2024 from 9 a.m. to 9:30 a.m.
Faculty Chat: Psychology: Data Science in Human Behavior
Join faculty from the MS in Psychology: Data Science in Human Behavior for an upcoming chat about the program.
Register now →January 23, 2025 from 9:30 a.m. to 10:30 a.m.
Faculty Spotlight: Physics: Quantum Computing
Get a quick overview of the Physics: Quantum Computing MS program and connect with a couple of our faculty that will talk about their research activities.
Register now →February 4, 2025 from 9:30 a.m. to 10:30 a.m.
Application Assistance: Physics: Quantum Computing MS
Learn how to make your application stand out and to discuss issues regarding the application process. Current MSPQC students will join to share their program experience and answer questions you may have!
Register now →February 13, 2025 from 9 a.m. to 9:30 a.m.
Faculty Chat: Psychology: Data Science in Human Behavior
Join faculty from the MS in Psychology: Data Science in Human Behavior for an upcoming chat about the program.
Register now →February 18, 2025 from 12 p.m. to 12:30 p.m.
Application Assistance: iSchool Master’s Programs
Learn strategies to make your application stand out, whether you are applying to the Information MS program or the Library & Information Studies MA program.
Register now →February 25, 2025 from 2 p.m. to 3 p.m.
Virtual Office Hours: Psychology: Data Science in Human Behavior
Join Enrollment Coach Emma Davis during virtual office hours to ask your questions about the MS in Psychology: Data Science in Human Behavior.
March 13, 2025 from 9 a.m. to 9:30 a.m.
Faculty Chat: Psychology: Data Science in Human Behavior
Join faculty from the MS in Psychology: Data Science in Human Behavior for an upcoming chat about the program.
Register now →Results that work for you
Psychology: Data Science in Human Behavior MS
#9
The UW–Madison Graduate Program in Psychology is ranked #9
U.S. News & World Report, 2024
What you’ll learn
Leverage the power of data to understand human behavior in the Psychology: Data Science in Human Behavior MS program. You’ll gain hands-on experience designing psychological experiments and analyzing data with advanced techniques like machine learning to extract meaningful insights from human behavior.
- Design and analysis of psychological experiments
- Data science in human behavior
- Applied machine learning
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