University of Wisconsin-Madison campus

Engineering

MS Data Science at University of Wisconsin-Madison

University of Wisconsin-Madison, United States

Programme overview

The MS Data Science is a joint professional program between the Statistics and Computer Sciences Departments and is administered by the Statistics Department. The program provides students with abilities in computational and statistical thinking and skills, which may be combined with domain knowledge to address data-rich problems from diverse fields and various industries. Graduates will acquire data science competencies to think critically about data, and to manage, process, model, and analyze data to obtain meaning and knowledge, and further to use data in responsible, ethical ways.

Department: Statistics  |  Duration: 30 credits  |  Study mode: full-time  |  Intake: Fall (deadline February 15)  |  Location: Madison, WI, United States

What you will study

The degree requires a minimum of 30 credits. Courses listed in the requirements include STAT 611 Statistical Models for Data Science; STAT 612 Statistical Inference for Data Science; STAT 613 Statistical Methods for Data Science; COMP SCI 577 Introduction to Algorithms; COMP SCI 537 Introduction to Operating Systems; COMP SCI 544 Introduction to Big Data Systems.

Official programme page

Application information

Entry requirements

GRE (Graduate Record Examinations) Not required; Letters of Recommendation Required 2; Requisites for Admission; Applicants to the MS Data Science program should have completed the following courses equivalent to the UW-Madison courses listed below:; Course List; Code Title Credits; Calculus and Mathematical Foundation, complete all below; MATH 221 Calculus and Analytic Geometry 1 5; MATH 222 Calculus and Analytic Geometry 2 4; MATH 340 Elementary Matrix and Linear Algebra 3; or MATH 345 Linear Algebra and Optimization; Programming Foundation, select one from the list below; COMP SCI 220 Data Science Programming I 4; COMP SCI 300 Programming II 3; COMP SCI 320 Data Science Programming II 4; Recommended previous coursework of significant experience in R; STAT 303; & STAT 304; & STAT 305 R for Statistics I; and R for Statistics II; and R for Statistics III 3;

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Entry terms (spring, summer or fall) vary by programme and are listed on each programme's Graduate Guide admissions tab. An applicant may have active applications in only one entry term at a time.

Application deadlines vary by programme and are listed on the programme's Graduate Guide admissions tab. Applications are submitted through the Graduate School application portal. The application fee is $75 US, non-refundable, payable by credit card (MasterCard or Visa) or debit/ATM; international applicants pay an extra $6 processing fee. Up to three programmes in the same entry term can be applied to for one application fee.

Apply through the official page: https://grad.wisc.edu/apply/requirements/

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