10 Best Places For a Masters in Big Data and AI

The growth of AI in the workplace reflects the increasing demand for Big Data and AI in most businesses. AI technology, it is now evident, can increase productivity, making it a necessity for businesses to stay competitive.  According to Accenture insights, AI technology can increase business productivity by 40% (in 2035).

This would be one of the no-brainer careers to get into if you have the inclination and bent of mind.

Here are the best universities to pursue a master’s in Big Data and AI

For those seeking interest in technology and wishing to be a part of the future, we have handpicked few globally ranked universities offering Big Data and AI courses. Let’s get you started – where to find the best graduate courses in AI and Big Data?

• Global Ranking: 1 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: MIT Sloan School of Management
• Course: Master of Business Analytics
• Duration: 12 months
• Tuition Fee: estimated at $82,368 (₹60,51,988 approx.)
• Course summary: Focused on applying the tools of modern data science, optimization, and machine learning to solve real-world business problems

• Global Ranking: 3 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Computer Science Department
• Course: S. in Computer Science
• Duration: 3 semesters (15 weeks each)
• Tuition Fee: estimated at $50,320 (₹36,96,507 approx.)
• Course Summary: The course is designed to improve students’ training with advanced study in
• Computer Science. Special attention is given to cater to students with basic analytic skills and a strong aptitude for mathematics, programming, and logical reasoning.

• Global Ranking: 4 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Berkeley School of Information
• Course: Master of Information and Data Science (MIDS) (currently online)
• Duration: 12 months
• Tuition Fee: estimated at $2,712 per enrolled unit (₹1,99,223 approx.)
• Course Summary: Prepares data science professionals to be leaders in the field.

• Global Ranking: 5 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Department of Computer Science
• Course: MSc in Advanced Computer Science
• Duration: 12 months
• Tuition Fee: estimated at £29,160 (₹28,87,199 approx.)
• Course Summary: Designed to teach a range of advanced topics to graduates of computer science and other mathematical disciplines by combining theory with practice.

• Global Ranking: 8 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: School of Computer and Communication Sciences
• Course: Master in Data Science
• Duration: 12 – 24 months
• Tuition Fee: estimated at CHF 730 per semester (₹60,668 approx.)
• Course Summary: A comprehensive education, from the foundations to implementation, from algorithms to database architecture, and from information theory to machine learning.

• Global Ranking: 9 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Department of Computer Science
• Course: Master in Data Science
• Duration: 24 months
• Tuition Fee: estimated at CHF 730 per semester (₹60,668 approx.)
• Course Summary: Designed to equip students with all relevant knowledge and skills while combining theoretical foundations with practical experience, geared towards nurturing the next generation of data scientists.

• Global Ranking: 12 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: NUS Faculty of Science
• Course: MSc in Data Science & Machine Learning
• Duration: 12 months – 24 months
• Tuition Fee: estimated at S$48,000 (₹26,54,054 approx.)
• Course Summary: Curriculum designed to incorporate interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning.

• Global Ranking: 14 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Department of Computing
• Course: MSc Artificial Intelligence
• Duration: 12 months
• Tuition Fee: estimated at £34,750 (₹34,58,330 approx.)
• Course Summary: Designed to deliver intensive training in programming and the fundamentals of artificial intelligence through a range of specialist modules.

• Global Ranking: 24 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Faculty of Mathematics
• Course: Master of Data Science and Artificial Intelligence (MDSAI)
• Duration: 12 months
• Tuition Fee: estimated at CA$13,234 (₹7,57,199 approx.)
• Course Summary: A popular course on Data Science and Artificial Intelligence offered by University of Waterloo.

• Global Ranking: 32 (QS World University Rankings by Subject 2020: Computer Science & Information Systems)
• Level of study: Graduate
• School/Department: Faculty of Science
• Course: Master of Data Science
• Duration: 24 months
• Tuition Fee: estimated at AUD$71,242 (₹1,99,223 approx.)
• Course Summary: Core subjects is designed to give a solid grounding in data science to instill technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.

Countries like Germany, the UK, the USA, Ireland, and Canada are among the top countries that are advancing in Big Data and AI, and thus, recommendable for studying the same given the job opportunities students will be accessing.

• Data Scientist
• Analytics Associate
• Research Engineer
• Product Analyst
• Business Intelligence Engineer

AI, Machine Learning, and Big Data are the key areas that are seeing a rise in demand. And this is only set to grow, as organizations shift into adaptive and growth mode, turning to Artificial Intelligence to help with workplace disruption. This would be the ideal time to think about a career in AI.