Masters in Machine Learning

6 minute read
Masters in Machine Learning

The application of Artificial Intelligence or AI is transforming the way companies do their business. The algorithms learn from large amounts of data and predict similar patterns on a smaller scale. To simplify this process in layman’s terms, algorithms are learning and adapting through experiences to produce reliable decisions. Due to its very nature, Machine Learning is interconnected with statistical computing. Masters in Machine Learning and Masters of Science in Data Science are being pursued by over 75% of the people currently working in the technology industry or in the IT sector. In this blog, we shall be telling you all about this newly emerging field of Master in Machine Learning.

Overview of Masters in Machine Learning

Machine learning is a computer science subfield, but it is also referred to as predictive analytics or predictive modelling as well. Its aim and uses are to create new and/or exploit existing data learning algorithms to create generalizable models that provide accurate predictions or to find patterns, especially with new and unseen similar data.

The field requires in-depth knowledge and understanding of mechanical methods, technological methods, and data processes. Machine learning is becoming an important aspect for industries to grow by analyzing big data for effective execution in business and management. A Master’s in Machine Learning comprises various disciplines in computer science

A Master’s in Machine Learning allows students to choose a particular field of interest. Specialization in a specific field helps students grow and develop skills to curate technology according to the needs of the times. This course helps in developing data analytical skills, data programming (which is useful to go into the field of Artificial Intelligence), business advancement and general statistical computing. So if you do the masters from best university while study abroad, you may get excellent skills that will help you in your career

Why Should You Consider Pursuing A Masters In Machine Learning?

  • As of now, Machine Learning is still evolving in the industry. Pursuing a Master’s degree in Machine Learning can give your career a better shape by differentiating you from the rest of the candidates in the field.
  • Having a Master’s degree in Machine Learning can provide a different identity in the job market, which can help you stand in a league of your own.
  • A Master in Machine Learning comprises of various new data techniques and theories that can help you solve difficult technical challenges and innovate through problems in cutting-edge technology.
  • The course provides you with knowledge of both engineering and computer science, which can help you find opportunities in both industries, pushing the horizon of where your career can go.
  • Many popular employers like Google, Facebook, Apple, etc look for candidates holding a degree in Machine Learning.
Source: Smitha Kolan

Masters in Machine Learning Curriculum

With advanced studies in the field of Machine Learning, the Master of Machine Learning program provides students with a Bachelor’s degree and an opportunity to enhance their present knowledge and training in machine learning. Universities around the world commonly agree that new students must have good analytical skills and sound mathematics, statistics, and programming skills. The curriculum, while not exactly the same, is usually almost similar. Typically, it involves core courses and other optional subjects such as:

  • Techniques, theory, and methods of Machine Learning 
  • Large Datasets of Machine Learning 
  • Multimodal Machine Learning
  • NLP’s Neural Networks 
  • Graphical Probabilistic Models 
  • Probability & Statistics in Mathematics 
  • Study of Regression
  • Advanced-Data Mining
  • Advanced Introduction to Machine Learning
  • Algorithms in the Real World
  • Algorithms for Natural Language Processing
  • Convex Optimization
  • Data Structures and Data Analysis
  • Deep Reinforcement Learning

The Field of Machine Learning

Machine Learning is a vast discipline comprising different studies. The most important fields relating to Machine Learning are:

  • Artificial Intelligence is one of the most important fields to concentrate on Machine Learning. It is the theory of developing computer technologies in such a way that they can adapt or perform tasks normally reserved for a human brain, giving the impression that the machine is “thinking” or “learning”. It is also a program which is used to make machines self-sufficient.
  • Mathematical optimization is one of the most essential parts of Machine Learning. In Machine Learning, predictions are made on the basis of available data. Mathematical optimization is used to optimize an appropriate algorithm to deliver that data. 
  • Machine Learning and Data mining share a methodology. Machine Learning comprises of all available data, whereas data mining focuses on unknown aspects of that available data. Machine Learning uses this to extract all the useful data.
  • Statistical computing is a connection between computer science and statistics. Machine Learning uses statistical computing heavily for its two models: the data model and the algorithmic model. 

Eligibility Criteria for Studying Masters in Machine Learning

  • Candidates who wish to pursue a Masters’s in Machine Learning are required to obtain a minimum aggregate of 50% in a Bachelor of Science, a Bachelor of Engineering, or a Bachelor of Technology from a recognized University.
  • Candidates who wish to pursue a Master’s in Machine Learning are required to study Mathematics as one of the main subjects during their graduation.
  • Candidates who are still in college and waiting for the final results can also apply for the Master’s program in Machine learning.
  • Candidates applying for a Master’s in Machine Learning are required to qualify for language proficiency tests like IELTS with a minimum score of 7.0.
  • Candidates applying for Masters’s in Machine Learning are required to submit a Letter of Recommendation from a college professor or previous employer. Although these criteria are only followed by some universities.
  • Candidates should submit an updated CV along with detailed work experiences to support the application form.

List of Universities offering Masters in Machine Learning 

Universities LocationProgram NameDuration 
Carnegie Mellon UniversityUSA, PennsylvaniaMaster of Science in Machine Learning1 to 2 years
University of California BerkeleyUSA, CaliforniaMasters in Data ScienceMasters in EECS1 to 2 years
National University of SingaporeSingaporeMSc in Data Science & Machine Learning12 and 24 months for a full-time program 
24 to 48 months on a part-time basis
Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, UAEMaster of Science in Machine Learning2 years
University of LimerickLimerick, IrelandMSc in Artificial Intelligence & Machine Learning1 to 2 years 
Linkoping UniversityLinköping, SwedenMSc in Statistics and Machine Learning4 semesters
KTH Royal Institute of TechnologyStockholm, SwedenMaster in Machine Learning2 years 
University of NottinghamNottingham, United KingdomMSc in Machine Learning in Science1 to 2 years
Southern Federal University
Rostov-on-Don, RussiaMSc Financial Mathematics and Machine Learning2 years 
Massachusetts Institute of TechnologyMassachusetts, USAMaster of Science in EECS2 to 3 years
Cornell UniversityNew York, USAMasters in Computer Science and Machine Learning2 years 
Georgia Institute of TechnologyGeorgia, USAMaster in Computer Science1 to 2 years
University of WashingtonWashington, USAMaster in Computer Science
Master of Science in Data Science.
1 to 2 years 
Columbia UniversityNew York, USAMaster of Science in Computer Science2 to 3 years
Tampere UniversityTampere, FinlandMaster’s Degree Programme in Computing Science – Machine Learning2 years


Is a machine learning Masters worth it?

Securing a Master’s degree in machine learning enables individuals to develop complex and state-of-the-art technical skills required for the automation industry.

Is MS in AI worth it?

With the increasing involvement of automation and AI in our daily lives, MS in AI will help you acquire appropriate knowledge and develop pertinent skills in data science, AI, and machine learning.

What is the best degree for machine learning?

MSc in Computer Science, MTech in Software, and MTech in Information Technology can help you pursue a career in the field of machine learning. These courses impart knowledge about fundamental skills related to this technological genre.

Explore such types of courses on Leverage Edu and learn about the latest updates in study abroad exams and developments with Leverage Live. Get all relevant information with a 30-minute free counselling session at 1800 572 000.

Leave a Reply

Required fields are marked *