Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of Wisconsin–Madison.


Data Science, MS
Teaching phases
Professional graduate degree
The joint Statistics and Computer Sciences programme combines statistical and computational thinking, machine learning, data management and ethical data practice.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Applying to University of Wisconsin–Madison?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Wisconsin–Madison. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of Wisconsin–Madison.


Data Science, MS
Teaching phases
Professional graduate degree
The joint Statistics and Computer Sciences programme combines statistical and computational thinking, machine learning, data management and ethical data practice.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Applying to University of Wisconsin–Madison?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Wisconsin–Madison. The consultation is free.
Practical training & industry exposure
The university’s programme pages show applied opportunities that differ by field: engineering curricula include laboratories, design work and accreditation-specific outcomes; the Wisconsin MBA includes a 10–12-week summer internship after year one, a consulting-project capstone and applied learning; the MS Data Science curriculum combines statistical modelling, machine learning, data management and electives; and Computer Sciences students can access department workshops, seminars, job fairs, mentoring and student organisations. Students should assess the named programme rather than infer a common placement structure across UW–Madison.
Industry & placement partners
Practical training & industry exposure
The university’s programme pages show applied opportunities that differ by field: engineering curricula include laboratories, design work and accreditation-specific outcomes; the Wisconsin MBA includes a 10–12-week summer internship after year one, a consulting-project capstone and applied learning; the MS Data Science curriculum combines statistical modelling, machine learning, data management and electives; and Computer Sciences students can access department workshops, seminars, job fairs, mentoring and student organisations. Students should assess the named programme rather than infer a common placement structure across UW–Madison.
Industry & placement partners