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The 10 Best AI And
Data Science Master’s
Courses For 2021
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
Data and AI (Artificial Intelligence) are the drivers of the 4th Industrial Revolution and
future business success. That is also the reason why skills related to data science and AI
are in stellar demand across all sectors. Here we look at the top Master’s programs for
2021.
This article is a follow-up to my list of best data science undergraduate courses. While AI
and data science make up part of most computer science undergrad degrees, it's at a
post-grad level where students can really start to develop expertise.
The 10 Best AI And Data Science Master’s
Courses For 2021
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
Some of the world’s best tech-led colleges and universities offer specialized Master’s
Degree courses in these subjects, and often they are also world leaders in research,
partnered with Silicon Valley businesses on cutting-edge projects.
Studying data science and AI at this level will mark you out to employers as someone
whose technical expertise is likely to exceed that of candidates who only have a
computer science bachelor's degree. It might also be a step towards a Ph.D.
If your interest isn't technical but business-oriented, there are also MBA courses
appearing with specializations in AI that may be worth considering.
The 10 Best AI And Data Science Master’s
Courses For 2021
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
MIT – Master of Business Analytics
A course focused on practical applications of data and machine learning, from one of the
world's leading technology schools, would be a great place to start your advanced level
education in this field.
For any master's course, you will generally be expected to have either an undergraduate
degree in a related field – for example, computer science or mathematics – but there is
often some flexibility around these precise requirements.
The other route that can qualify you is if you have gained extensive work experience in the
field. MIT's Master, in line with most others, takes 12 months to complete, and aims to
give students the knowledge and experience to start working with businesses and solving
their problems.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Stanford University – MSc in Statistics: Data
Science
Stanford is another world-leading US university with a very strong track record in AI
research with global significance, as well as equipping students with strong practical skills
and AI leadership potential.
This course specialises in "data science with a computational focus," so could be
considered more theoretical than a business-focused Master's, with courses covering
advanced software development for scientists and engineers, multi-core computing, and
statistical theory.
However, electives can be taken in applied fields, including data-driven medicine,
neuroimaging techniques, geostatistics, and social media analytics.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Carnegie Mellon – Master of Computational Data
Science
Carnegie Mellon is another US institution that is world-famous for its research and
accomplishments in AI and data science. Don't worry, this list isn't solely US-focused, but
there's no denying that when it comes to data science and AI, a good number of the
world's top-ranked universities are there.
Studying here, you'll be standing on the shoulders of giants such as Herbert Simon and
Allen Newell – two of the great pioneers of modern-day AI development.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Imperial College London - MSc in Business
Analytics
Frequently ranked among the world's top 10 universities, this flexible program is offered
through the business school as either a one-year, full-time course or a two-year part-time
course that can be studied remotely.
Topics of study include big data management, analytic algorithms, and data visualization
techniques. Students also have the chance to complete part of the course at a work
placement as well as train to act in a consulting capacity on data science matters in
business.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
University of Bath – MSc Data Science
Another UK university that is fast developing a reputation as a centre of data science
excellence. This course teaches the fundamental software skills needed to work with
machine learning and advanced analytical algorithms.
The focus is on core competencies and fundamentals, rather than the more practical
aspects covered in other courses, but students can choose to work in an applied field
during their second-semester research task.
The software skills for data science module also covers the evaluation of packages and
programming languages for their suitability for real-world tasks.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
University of Toronto – Master of Science in
Applied Computing: Data Science
Students working towards the MSc in applied computing at this leading Canadian
technical university can focus on this data science track.
As part of the course, you have the chance to take an eight-month industrial internship
where you will start putting the knowledge you are developing to use in solving real-world
problems with big data, AI, and analytics.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
University of Helsinki – Masters Degree in Data
Science
Finland has invested heavily in training its people to be ready to capitalize on the AI and
data science explosion, and much of that effort is focused through the University of
Helsinki.
Students can choose to specialize in technical fields relating to machine learning,
computer vision, and advanced analytics, or in practical applications of these technologies.
Students will learn to assess data science and AI techniques and practices in order to
match them to suitable tasks, and will boost their employment prospects greatly with an
advanced degree from a world-class European institution.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
École Polytechnique – MSc in Data Science for
Business
This leading Paris business and technology school offers a two-year master’s program
focused on filling the needs of global businesses for trained data science professionals.
Its stated aim is to turn out dual-skilled graduates with both the technical and business
knowledge to lead on data and smart computing initiatives in industry.
The first year focuses on statistics, mathematics, and computer programming before
students move on to practical problem-solving skills, involving use of data and algorithms
to solve business challenges.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Tsinghua University – Master in Advanced
Computing
China is a world leader in the development of artificial intelligence right now, and this
Beijing university's Master’s degree is one of the best-regarded in the country for AI and
data science.
Don't worry; the language barrier won't be a problem as all courses are taught in English.
Explore and gain an in-depth understanding of topics including machine learning, big data
and human/computer interaction from some of the country’s most prominent experts, and
work alongside major companies including Microsoft and IBM that are partnered with the
university’s researchers.
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
University of Hong Kong – Master of Data Science
Jointly administered by the school of computer science and the school of statistics and
actuarial science, Hong Kong U is acknowledged as one of the leading centres of
academic research in Asia.
Available either full-time over 18 months or part-time over 30 months, you’ll pick up
expert skills in machine learning and data analytics. You’ll also be deep-diving into
practical applications, including the role of data across social media and the advances in
the field made possible by the move to cloud computing.
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2020 Bernard Marr , Bernard Marr & Co. All rights reserved© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
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© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
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The 10 Best AI And Data Science Master’s Courses For 2021

  • 1. The 10 Best AI And Data Science Master’s Courses For 2021
  • 2. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction Data and AI (Artificial Intelligence) are the drivers of the 4th Industrial Revolution and future business success. That is also the reason why skills related to data science and AI are in stellar demand across all sectors. Here we look at the top Master’s programs for 2021. This article is a follow-up to my list of best data science undergraduate courses. While AI and data science make up part of most computer science undergrad degrees, it's at a post-grad level where students can really start to develop expertise. The 10 Best AI And Data Science Master’s Courses For 2021
  • 3. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction Some of the world’s best tech-led colleges and universities offer specialized Master’s Degree courses in these subjects, and often they are also world leaders in research, partnered with Silicon Valley businesses on cutting-edge projects. Studying data science and AI at this level will mark you out to employers as someone whose technical expertise is likely to exceed that of candidates who only have a computer science bachelor's degree. It might also be a step towards a Ph.D. If your interest isn't technical but business-oriented, there are also MBA courses appearing with specializations in AI that may be worth considering. The 10 Best AI And Data Science Master’s Courses For 2021
  • 4. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved MIT – Master of Business Analytics A course focused on practical applications of data and machine learning, from one of the world's leading technology schools, would be a great place to start your advanced level education in this field. For any master's course, you will generally be expected to have either an undergraduate degree in a related field – for example, computer science or mathematics – but there is often some flexibility around these precise requirements. The other route that can qualify you is if you have gained extensive work experience in the field. MIT's Master, in line with most others, takes 12 months to complete, and aims to give students the knowledge and experience to start working with businesses and solving their problems.
  • 5. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Stanford University – MSc in Statistics: Data Science Stanford is another world-leading US university with a very strong track record in AI research with global significance, as well as equipping students with strong practical skills and AI leadership potential. This course specialises in "data science with a computational focus," so could be considered more theoretical than a business-focused Master's, with courses covering advanced software development for scientists and engineers, multi-core computing, and statistical theory. However, electives can be taken in applied fields, including data-driven medicine, neuroimaging techniques, geostatistics, and social media analytics.
  • 6. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Carnegie Mellon – Master of Computational Data Science Carnegie Mellon is another US institution that is world-famous for its research and accomplishments in AI and data science. Don't worry, this list isn't solely US-focused, but there's no denying that when it comes to data science and AI, a good number of the world's top-ranked universities are there. Studying here, you'll be standing on the shoulders of giants such as Herbert Simon and Allen Newell – two of the great pioneers of modern-day AI development.
  • 7. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Imperial College London - MSc in Business Analytics Frequently ranked among the world's top 10 universities, this flexible program is offered through the business school as either a one-year, full-time course or a two-year part-time course that can be studied remotely. Topics of study include big data management, analytic algorithms, and data visualization techniques. Students also have the chance to complete part of the course at a work placement as well as train to act in a consulting capacity on data science matters in business.
  • 8. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved University of Bath – MSc Data Science Another UK university that is fast developing a reputation as a centre of data science excellence. This course teaches the fundamental software skills needed to work with machine learning and advanced analytical algorithms. The focus is on core competencies and fundamentals, rather than the more practical aspects covered in other courses, but students can choose to work in an applied field during their second-semester research task. The software skills for data science module also covers the evaluation of packages and programming languages for their suitability for real-world tasks.
  • 9. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved University of Toronto – Master of Science in Applied Computing: Data Science Students working towards the MSc in applied computing at this leading Canadian technical university can focus on this data science track. As part of the course, you have the chance to take an eight-month industrial internship where you will start putting the knowledge you are developing to use in solving real-world problems with big data, AI, and analytics.
  • 10. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved University of Helsinki – Masters Degree in Data Science Finland has invested heavily in training its people to be ready to capitalize on the AI and data science explosion, and much of that effort is focused through the University of Helsinki. Students can choose to specialize in technical fields relating to machine learning, computer vision, and advanced analytics, or in practical applications of these technologies. Students will learn to assess data science and AI techniques and practices in order to match them to suitable tasks, and will boost their employment prospects greatly with an advanced degree from a world-class European institution.
  • 11. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved École Polytechnique – MSc in Data Science for Business This leading Paris business and technology school offers a two-year master’s program focused on filling the needs of global businesses for trained data science professionals. Its stated aim is to turn out dual-skilled graduates with both the technical and business knowledge to lead on data and smart computing initiatives in industry. The first year focuses on statistics, mathematics, and computer programming before students move on to practical problem-solving skills, involving use of data and algorithms to solve business challenges.
  • 12. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Tsinghua University – Master in Advanced Computing China is a world leader in the development of artificial intelligence right now, and this Beijing university's Master’s degree is one of the best-regarded in the country for AI and data science. Don't worry; the language barrier won't be a problem as all courses are taught in English. Explore and gain an in-depth understanding of topics including machine learning, big data and human/computer interaction from some of the country’s most prominent experts, and work alongside major companies including Microsoft and IBM that are partnered with the university’s researchers.
  • 13. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved University of Hong Kong – Master of Data Science Jointly administered by the school of computer science and the school of statistics and actuarial science, Hong Kong U is acknowledged as one of the leading centres of academic research in Asia. Available either full-time over 18 months or part-time over 30 months, you’ll pick up expert skills in machine learning and data analytics. You’ll also be deep-diving into practical applications, including the role of data across social media and the advances in the field made possible by the move to cloud computing.
  • 14. Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website © 2020 Bernard Marr , Bernard Marr & Co. All rights reserved© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website
  • 15. Title Subtitle Be the FIRST to receive news, articles, insights and event updates from Bernard Marr & Co straight to your inbox. Signing up is EASY! Simply fill out the online form and we’ll be in touch! © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved