Participate in cutting-edge research while mastering both classical and modern data analysis methods in the Machine Learning and Signal Processing master’s program from the University of Wisconsin-Madison.

Is this program right for you?

The University of Wisconsin-Madison’s Machine Learning and Signal Processing (MLSP) program is designed for students looking for a jump-start on a career in data science with a passion for quantitative thinking, practical problem solving, and computer programming. The MLSP master’s degree is an accelerated program intended to prepare students to excel in the data science workforce in just 1 year.


The required coursework draws upon both classical and modern methods in data science, and is taught by faculty conducting cutting-edge MLSP research. You learn topics such as Optimization, Digital Image Processing, Advanced Machine Learning, and Decision Theory, all with a focus on practicality in modern data science. The combined focus on the mathematical foundations of data science and their application to real-world problems prepares graduates to immediately contribute to the MLSP workforce and solve even the most challenging data science questions.


The focus of the Machine Learning and Signal Processing MS program differs from the standard machine learning programs by focusing on real-world application rather than research. Therefore, instead of writing a thesis, the summer term is devoted to a culminating summer practicum, meant to fully integrate classroom topics into a hands-on, practical setting. Dive into the workforce quickly and with the necessary skills to succeed, all while surrounded by a community of engineers at the forefront of machine learning and signal processing research.


What you Learn

  • Master essential mathematical, scientific, and engineering principles as they apply to machine learning and signal processing
  • Formulate, analyze, and independently solve advanced signal processing questions
  • Apply the relevant scientific and technological advancements, techniques, and engineering tools to address both personal challenges in signal processing and the problems affecting the broader machine learning and signal processing fields
  • Recognize and apply principles of ethical and professional conduct

Where & How you learn


  • Accelerated
  • Face-to-face


  • 30 credit degree program; may transfer up to 6 credits of prior graduate coursework if applicant has previous MS degree from institution other than UW-Madison with approval by department advisor
  • UW-Madison students completing their bachelor’s degree in the Electrical & Computer Engineering department at UW-Madison may count up to 6 credits of coursework numbered 300 and above towards degree with prior program approval
  • Half of degree coursework (15 out of 30 total credits) must be graduate coursework. Must maintain 3.00 GPA to remain in program. Students must earn a B or above in all core curriculum coursework. With program approval, students are allowed to count no more than 9 credits of graduate course work from other institutions. Course work earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.
  • Completion of program to be done within 1 calendar year (starting fall semester only)

Apply Now

All applicants must:

  • Meet all of the requirements of the Graduate School
  • BS Degree in Electrical & Computer Engineering or related area or equivalent
  • Submit a Statement of Purpose
  • Submit 3 letters of recommendation
  • Non- native English speakers must have a Test of English as a Foreign Language (TOEFL) with a minimum score of 580 (written), 243 computer based test), or 90 (Internet version)
  • The Graduate Record Examination (GRE) is required for admission
  • Application Deadline: January 1st

Apply now or Visit program website