Explore Courses
Drexel University

Master of Science in Machine Learning Engineering (MSMLE) at Drexel University

Drexel University
Philadelphia, USA
Duration : 1 Year 6 Months
Download Brochure

Expenses
USDINR

Course Fees (Per Year)NA
Living Cost (Per Year)INR 13.94L

Intake Sessions

JAN 2025MAR 2025SEP 2025

Similar CoursesView All

Master of Professional Studies in Applied Machine Intelligence

Northeastern University, USA

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

Computer Science-Machine Learning (BS)

Southern New Hampshire University, USA

  • DURATION
    4 Years
  • FEES
    INR 11.65L/yr
  • EXAMS
    -
  • INTAKE SESSION
    -

Master of Professional Studies in Applied Machine Intelligence

Northeastern University, USA

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

Explore Accelerator Programs

MS in Data Analytics (Admission closing on 15th Dec)

Clark University

    DURATION

  • Online : 8 Months
  • On-campus : 1 Year
  • Fees

  • Online : INR 4,50,000
  • On-campus: USD 17,052 (Indicative)

MS in Project Management (Admission closing on 15th Dec)

Clark University

    DURATION

  • Online : 8 Months
  • On-campus : 1 Year
  • Fees

  • Online : INR 4,50,000
  • On-campus: USD 17,052 (Indicative)

MS in Information Technology (Admission closing on 15th Dec)

Clark University

    DURATION

  • Online : 8 Months
  • On-campus : 1 Year
  • Fees

  • Online : INR 4,50,000
  • On-campus: USD 17,052 (Indicative)

TRENDING SEARCHES

Universities

Study in USA

Top Streams

University Wise Courses

Popular Courses

Editor's Pick

Highest Paying

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.