Masters in Machine Learning in the USA: A Complete Guide



Numerous international students every year go to the USA for pursuing Masters in Machine Learning program. The training program enables aspiring ML engineers to get access to phenomenal opportunities for Masters in Machine Learning program. Moreover, they also get access to world-class masters in machine learning training. In other words, you won’t regret pursuing MS in ML in America. Keeping this in mind, today we are sharing with you a complete guide to pursuing a master’s in machine learning in America.

Why You Must Think About Studying Machine Learning at an American University?

Following are the reasons why you must think about studying machine learning at an American university:

  • By moving to the US for studying ML you get access to top-notch machine learning training.
  • By moving to the US for studying ML you get an opportunity to learn at top machine learning training institutes.
  • ML grads who pass out from an American training institution are highly employable. Moreover, these ML graduates get access to many amazing work opportunities. To learn about various opportunities available for ML grads in the US feel free to contact our US student visa consultants in Noida.
  • America houses many great AI companies. Thus, there is no shortage of growth or work opportunities for skilled ML experts in the nation.

Top Universities

Following are some of the finest American training institutions in which you can pursue a master’s in machine learning:

  • Carnegie Mellon University
  • Cornell University
  • Georgia Institute of Technology
  • Duke University
  • Massachusetts Institute of Technology
  • Boston University
  • University of Rochester
  • The University of California San Diego
  • Stevens Institute of Technology
  • Stanford University

Course Highlights

At most universities in the US, the duration of an MS in machine learning program is two years. While studying you will learn about the core concepts/fundamentals of ML in detail. Furthermore, you will learn about deep reinforcement learning, deep learning, probabilistic graphical models, etc. Besides this, you will learn about convex optimization, probability statistics, neural networks, etc.

Eligibility Criteria

The eligibility criteria for pursuing a master’s in machine learning are not the same at all American training institutes. Thus, you may find little variation in the admission requirements of all American universities. But the basic criteria for studying ML are identical at all American educational institutions. Following are the criteria you will need to meet to pursue MS in machine learning in an American training institute:

  • A UG degree
  • UG score: 50%
  • CGPA score: 2.25
  • IELTS score: 6.0
  • TOEFL score: 79
  • GMAT score: 500
  • Work experience certificate
  • Letter of recommendation
  • Statement of Purpose
  • Proof of funds
  • Proof of accommodation
  • Copy of passport
  • Visa, etc.

Necessary Documents

Following documents are necessary to pursue MS in ML program at an American training institution:

  • Academic transcripts
  • Letter of recommendation
  • IELTS scorecard
  • TOEFL scorecard
  • GMAT scorecard
  • Proof of accommodation
  • Statement of Purpose
  • Proof of funds
  • Copy of passport
  • Recent photographs
  • Work experience certificate
  • CV/Resume
  • A medical certificate, etc.

Cost of Education

America houses the finest training institutes for studying machine learning. Thus, pursuing a master’s in machine learning in America can be very expensive for you. On average, you will need approximately USD 40,000 to pursue MS in ML training program at an American training institute. Following is the fee that you will need to pay for pursuing MS in ML program at different American universities:

  • Carnegie Mellon University: USD 54,315
  • Cornell University: USD 50,496
  • Georgia Institute of Technology: USD 63,720
  • Duke University: USD 53,136
  • Massachusetts Institute of Technology: USD 44,800
  • Boston University: USD 56,700
  • University of Rochester: USD 56,985
  • The University of California San Diego: USD 54,470
  • Stevens Institute of Technology: USD 56,985
  • Stanford University: USD 42,000


As said before studying ML in the US can be a costly affair for international students. However, a lot of ML scholarships are also available in the county for aspiring machine learning engineers. But, it’s not that easy to secure these ML scholarships for reducing the cost of studying in the US. Following are the different ML scholarships available in the US for upcoming machine learning engineers:

  • Inlaks Scholarship
  • QS Connect Master’s Scholarship. To learn about the eligibility criteria for the QS Connect Master’s Scholarship feel free to contact our Study abroad for Indian students
  • Fully Funded Rotary Peace Fellowships
  • Fulbright Scholarships for Indians

Job Opportunities

Machine learning graduates from American training institutes are highly employable. Moreover, they get access to a lot of amazing work and growth opportunities in the country. Besides this, these ML engineers also get hefty salaries for their services. Following are the different jobs machine learning graduates can take up in the US after graduation:

  • Information Technology Director
  • Senior Data Scientist
  • Machine Learning Engineer
  • Chief Technology Officer
  • Research Scientist
  • Robotics Engineer
  • Senior Machine learning Engineer


If you seek to get premium quality ML training then to study in the US is perfect for you. By studying ML in the US, you get access to high-quality ML training. Furthermore, machine learning graduates from American learning institutes are also highly employable. In other words, you won’t regret completing your machine learning training in an American training institution.