• Program Duration16 weeks
  • Learning FormatOnline Bootcamp
  • Next Cohort starts
    Jun 26th, 2023

Program Highlights

  • Learn From The Best - The MIT xPRO Impact

    Gain insights and access to live online masterclasses from distinguished MIT faculty

    Learn about MIT CCSE’s thought leadership and current research in machine learning

  • Demonstrate Your Success

    Earn a Professional Certificate and 8 Continuing Education Units (CEUs) from MIT xPRO

    Applications, use-cases, and examples covering 10+ domains

  • Experiential and Applied Learning

    Learn through case studies, simulations, assessments, and tools

    Interact with a global peer group while working on real-world projects



Career Opportunities


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Program Outcomes

MIT xPRO CertificateMIT xPRO Certificate
  • Professional certificate of completion from MIT xPRO
  • 8 Continuing Education Units (CEUs) from MIT xPRO
  • Live online masterclasses delivered by distinguished MIT faculty
  • Connect with an international community of professionals

Program Curriculum

  • Get started with this Machine Learning Engineering course and explore everything about it.

  • This Machine Learning Engineering Course will help you understand the computational tools used in engineering and business problem-solving. This course covers the foundations - from modeling and simulation fundamentals to topics such as probability, and optimization to deeper concepts used in machine learning. This Machine Learning Program also takes you through the various tools/algorithms/methods used to analyze various use cases and help model the solution.

  • Learn how some of the computational tools used in engineering & business problem-solving are put into practice in this module. The course will take you through the practical applications of machine learning across various industries and domains through examples, case studies, and simulations. *Topics in this module could be covered through asynchronous mode/masterclasses and are subject to change at the discretion of MIT xPRO.

Skills Covered

  • Engineering problem solving
  • Machine learning applications
  • Optimization techniques
  • Predictions with missing sparse data
  • Probability and statistics
  • Realworld forecasting
  • Risk assessment and quantification
  • Simulations

Case Studies


    Program Advisor

    Program Fee

    Program Fee $ 2,375

    Pay in Installments

    As low as

    You can pay monthly installments using Affirm, Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Eligibilty Criteria

    • Individuals with a background of college-level math
    • Professionals looking to gain insights into ML applications
    • Some experience with MATLAB (R) is helpful

    Best Suited For

    • Engineers
    • Technical Professionals
    • Consultants
    • Scientists & Researchers
    • Business Executives
    • Managers

    How to Apply

    • STEP 1Submit Application

      Complete the application process by submitting the required documents

    • STEP 2Application Review

      An admissions panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates can access the program from the batch start date

    Apply Now


    • Data Sharing Policy

    • Who is this Machine Learning program best suited for?

    • Will financial aid be provided for this Machine Learning for Business, Engineering, and Science program?

    • What should I expect from this Machine Learning for Business, Engineering and Science program?

    • What certificate will I receive?

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