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Harness the Benefits of AI/ML Masters to Reach Your Career Goals

Mar 18, 2023

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Artificial intelligence (AI) & Machine Learning (ML) are no longer emerging trends. AI ML has now become a singular entity that can automate tasks to help human society with minimum effort and zero error. The demand for professionals with an AI or ML master's degree is projected to grow greatly in the coming years. 

This article will explore the benefits of an AI or machine learning master's and provide a comprehensive guide for aspiring students pursuing this path. But what does it take to get a master's in this field? Let’s see.

Table of Content

  1. Why pursue an AI or Machine Learning Master’s? 
  2. Top Global Universities to pursue AI/ML
  3. Pre-Requisites for Pursuing Masters in AI/ML
  4. Academic Requirements
  5. Standardized Test Requirements
  6. Career Opportunities

Why pursue an AI or Machine Learning Master’s? 

An advanced degree in Artificial Intelligence or Machine Learning can help you become an industry expert who appreciates the subtleties of machine learning algorithms and their potential applications. This degree will equip you with the expertise necessary to comprehend and implement cutting-edge technologies like Deep Learning, Natural Language Processing, and Computer Vision. 

Professionals skilled in artificial intelligence and machine learning are in high demand; thus, earning a Master's degree in either of these areas can help get a foot in the door. You will also improve your critical thinking, data analysis, and application of problem-solving skills with this course. A master's degree in AI or ML equips you with all the knowledge and experience you'll need to thrive in this dynamic industry. 

With the increasing complexity of the world's data, only an AI and ML Master's course can ensure that aspiring professionals are adequately trained and equipped with the knowledge to tackle challenges in the real world. With AI and ML Master's degree, students can develop complex algorithms for predictive analysis, deep learning models, and more. 

Furthermore, these skills can open up new opportunities in Finance, Healthcare, Marketing, and other industries that require an advanced understanding of AI and ML applications. Therefore, those looking to stay ahead of the competition should consider investing in an AI and ML Master's degree this year. 

Top Global Universities to pursue AI/ML

Having understood the scope of this master’s degree, let us look at the top Universities across the globe that offer AI/ML programs.

Numerous top-tier academic institutions worldwide offer AI and ML focused degree programs. These international institutions are well-known for providing students with innovative teaching methods, real-world training opportunities, and access to cutting-edge resources. Also, thanks to their extensive network of business alliances, students can access professional development and networking events. Students can learn more about the field, get hands-on experience, and network with other professionals by earning a Master's degree in AI or ML in a foreign country. 

Following are the top countries that are preferred by most International Students as the destination for pursuing AI/ML programs overseas. Note that Canada only offers PG diploma, thus!


  • Arizona State University, Tempe, Arizona
  • University of Cincinnati, Cincinnati, Ohio
  • University of North Texas, Denton, Texas
  • San Jose State University, San Jose, California
  • Lawrence Technological University, Southfield, Michigan
  • University of California Riverside
  • Drexel University, Philadelphia, Pennsylvania
  • Oregon State University, Corvallis, Oregon
  • Saint Louis University, St. Louis, Missouri
  • DePaul University, Chicago, Illinois
  • University of Maryland Baltimore County, Maryland
  • San Francisco State University, San Francisco, California


  • University of Leeds
  • University of Nottingham
  • The University of Sheffield
  • Newcastle University
  • University of Exeter
  • Queen Mary University of London
  • University of Liverpool
  • University of York
  • University of Surrey
  • Queen`s University Belfast
  • University of Aberdeen
  • Loughborough University, London

Canada – (PG diploma only)

  • University of Winnipeg
  • Durham College
  • Conestoga College
  • Fanshawe College
  • Georgian College
  • Lambton College, Toronto


  • Monash University,
  • The University of Adelaide
  • The University of Technology Sydney
  • Macquarie University
  • RMIT University
  • Deakin University

European Countries 

  • Aalto University, Finland
  • Radboud University, Netherlands
  • University College Dublin, Ireland
  • University of Twente, Netherlands
  • University of Galway, Ireland
  • SRH Berlin University of Applied Sciences, Germany
  • International University of Applied Sciences, Germany

Pre-Requisites for Pursuing Masters in AI/ML

Now that we have understood the benefits of choosing a Master's degree in AI ML and the top global universities to pursue the same, let's look at the minimum requirement to apply for this master’s degree abroad. Master's programs in AI ML have varying admission requirements. 

The following is a closer look at the prerequisites and conditions for pursuing a master's degree in AI & ML. 

Academic Requirements

A bachelor's degree in an approved STEM (Science, Technology, Engineering, and Mathematics) discipline is needed for admission to a master's program in AI & ML. Students are also required to provide their transcripts.  

Standardized Test Requirements

GMAT or GRE Scores

The GMAT or the GRE is another prerequisite for Master's programs in AI & ML. But note that it is not required to be taken in Australia, Canada, UK and other European countries. For other study destinations minimum of 580 to 700 GMAT scores shift based on the degree and institution typically accepted. However, at present, several schools have removed the prerequisites from the application processes. 

English Language Test Scores

An English proficiency test score is required for those who are not natural English speakers and who completed their undergraduate studies at a school where English was not the primary language of instruction. Indicated below are the minimum test scores required for an admit -

  • TOEFL iBT: 70 - 100 
  • IELTS: 6.0 - 7.5 
  • PTE: Minimum 65 
  • DET: Overall Score of 105 

(Note: For UK, Above 6.5 Band in IELTS)

Required Document

You must submit the following documents:  

  • All previously attended institutions' transcripts
  • A Bachelor's Degree
  • Scorecards of Entrance Tests 
  • Statement of Purpose
  • Letter of Recommendation
  • Resume
  • Passport

Career Opportunities

There are many opportunities open to ambitious students in 2023 who choose to get a Master's degree in Artificial Intelligence or Machine Learning abroad. A Master's degree in this subfield of emerging trends can lead to a meaningful and successful profession due to the increasing demand for abilities in Artificial Intelligence and Machine Learning. 

This means that graduates with a Master's in AI/ML will have many career opportunities, especially if candidates opt for the study abroad option. According to Precedence Research, A CAGR of 38.1% is projected to increase the worldwide artificial intelligence (AI) market size from its projected $119.78 billion in 2022 to $1,597.1 billion in 2030. This makes the AI ML job market an extremely lucrative one.

To further make you understand, look at the table of career paths after Masters in AI/ML, and the median annual salary you can expect.


Career Path

Job Description

Median Annual Salary

Big Data Analyst

To aid in making forecasts about the future, find significant patterns in the data. 


User Experience (UX) Designer/Developer

Work with the items to ensure that users can readily comprehend their purposes and use them. Recognize how people utilize technology and how computer scientists can use that knowledge to create more sophisticated software. 


Natural Language Processing Engineer

Investigate the relationship between spoken language and computer systems, including working on chatbot and virtual assistant projects. 



Working with AI and on computer science research & Learn how to advance AI technologies. 


Research Scientist

Expert in computational statistics, machine learning, deep learning, and applied mathematics. expected to possess a doctorate in computer science or a doctorate in a closely comparable discipline backed up by experience.


Software Engineer

Create applications that use AI tools. The position is also sometimes referred to as a programmer or an AI developer. 


AI Engineer

Create AI models from scratch and aid stakeholders and product managers in understanding outcomes. 


Data Mining and Analysis

Analysing massive data sets for anomalies, patterns, etc. to make predictions.


Machine Learning Engineer

Designing, developing, and maintaining ML software systems using data. 


Data Scientist

Assemble, scrutinize, and understand data sets. 


Business Intelligence (BI) Developer

Analyse large data sets to find industry and business trends 


Big Data Engineer/Architect

Create tools that let companies communicate and gather data. 


Robotics Engineer

Create, assemble, and test robotic systems.


Computer Vision Engineer

Create and work on systems and projects that use visual data.



Unlock Your Potential in AI & ML with KC Overseas, one of the Best Study Abroad Consultants in India.

Apply Today and Join the Cutting-Edge Community of Innovators and Technologists. AI and ML will profoundly impact the future of technology and industry and investigate the many intriguing career options in this emerging and dynamic trend. 

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