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


Is this program right for you?


The University of Wisconsin–Madison’s Signal Processing and Machine Learning (SPML) 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 SPML 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 SPML 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 SPML workforce and solve even the most challenging data science questions.

 

The focus of the Signal Processing and Machine Learning 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

WHERE

  • Accelerated
  • Face-to-face

HOW

  • With program approval, students may count graduate coursework from other institutions toward the minimum graduate degree credit requirement and the minimum graduate coursework (50%) requirement. No credits from other institutions may be counted toward the minimum graduate residence credit requirement. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.
  • With program approval, up to 7 credits numbered 400 or above can be counted toward the minimum graduate degree credit requirement. Up to 7 credits of ECE courses numbered 700 or above can be counted toward the minimum graduate coursework (50%) requirement. No credits can be counted toward the minimum graduate residence credit requirement.
  • Undergraduate Work from Other Institutions: With program approval, students may count up to 7 credits of undergraduate coursework from a Bachelor of Science degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, Electrical Engineering and Computer Science, or Computer Science from an ABET-accredited program at other institutions toward fulfillment of minimum degree requirements. No credits from other institutions can be counted toward the minimum graduate residence credit requirement. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements. The total of the credits from graduate work from other institutions, undergraduate work from other institutions, and UW–Madison undergraduate work cannot exceed 7.
  • Exceptions to these requirements may be requested to the appropriate ECE department committee and considered on a case-by-case basis.

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: December 15th

Apply now or Visit program website

 

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