Explore Courses

8 Masters Programs in Machine Learning - Universities, Deadlines, Eligibility & Fees

  • Level of study
  • Streams
  • Countries
  • Cities
  • Fees
  • Exams Accepted
  • Course Duration
  • Masters
  • Clear All
8 results found

MPS in Applied Machine Intelligence

Northeastern University, USA

  • DURATION
    Online:8 Months
    On-campus:1 Year 3 Months
  • FEES
    Online: INR 5,25,000
    On-campus: USD 35,409

MSc Computing (Artificial Intelligence and Machine Learning)

Imperial College London, UK

  • DURATION
    1 Year
  • FEES
    INR 38.65L/yr
  • EXAMS
    -
  • INTAKE SESSION
    OCT 2024

Machine Learning for Visual Data Analytics MSc

Queen Mary University of London, UK

  • DURATION
    1 Year
  • FEES
    INR 25.41L/yr
  • EXAMS
    -
  • INTAKE SESSION
    SEP 2024

MSc Machine Learning & Deep Learning

University of Strathclyde, UK

  • DURATION
    1 Year
  • FEES
    INR 23.39L/yr
  • EXAMS
    -
  • INTAKE SESSION
    SEP 2024

MS in Machine Learning Engineering

Drexel University, USA

  • DURATION
    Online:8 Months
    On-campus:1 Year 3 Months
  • FEES
    Online: INR 5,25,000
    On-campus: USD 33,750

Master of Professional Studies in Applied Machine Intelligence

Northeastern University, USA

  • DURATION
    1 Year
  • FEES
    INR 22.33L/yr
  • EXAMS
    -
  • INTAKE SESSION
    NOV 2024

MASc in Machine learning

University of Guelph, Canada

  • DURATION
    2 Years
  • FEES
    INR 24.40L/yr
  • EXAMS
    -
  • INTAKE SESSION
    MAY 2025

Master of Science in Machine Learning Engineering (MSMLE)

Drexel University, USA

  • DURATION
    1 Year 6 Months
  • FEES
    -
  • EXAMS
    -
  • INTAKE SESSION
    SEP 2024
Disclaimer

All information provided on this page is for general use and upGrad Abroad is not responsible for any errors or omissions. The Universities involved in this Program are accredited/recognized in the countries where they are established. Relevant terms and conditions apply.Any action taken upon the information found on this website is strictly at your own risk.