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1.6k Master's degrees in Data Science & Big Data

Data Science Conversion
Data Science Conversion from Kingston University has flexible entry points and has been designed for a variety of disciplines and backgrounds. If you’re coming from a computing or mathematics discipline, you should head over to our Data Science MSc page.

Artificial Intelligence
This Artificial Intelligence course from University of Leeds offers you the most up-to-date artificial intelligence knowledge that speaks directly to the skills that employers are actively seeking within the AI development sector.

Machine Learning and Big Data
The Master of Machine Learning and Big Data at University of Wollongong provides you with skills and abilities to solve complex real-world problems by teaching you how to develop and deploy computer applications, while integrating computer science methods with effective management strategies.

Master of Data Science
Take your knowledge and skills to the next level and become an expert in the field of data science with Victoria University of Wellington's Data Science. Gain an in-depth understanding of working with structured and unstructured data and how to use a fusion of mathematics, computer science, statistics, artificial intelligence, and machine learning to solve real-world problems.

Business Analytics and Data Science
Business Analytics and Data Science programme at EU Business School gives students a comprehensive foundation in data science, using industry-leading software, tools and applications.

Executive Data Science and Analytics
Across industries, organizations increasingly rely on data science and analytics to optimize operations, boost productivity, and increase profits. The Executive Data Science and Analytics programme at New England College prepares experienced professionals for advanced roles in this field.

EMAI - Erasmus Mundus Joint Master in Artificial Intelligence
The EMAI - Erasmus Mundus Joint Master in Artificial Intelligence, coordinated by Pompeu Fabra University, is a two-year Erasmus Mundus joint Master founded by the European Commission, that provides a comprehensive framework of theory and practice in Artificial Intelligence (AI).

Health Data Science
This Health Data Science degree from London School of Hygiene and Tropical Medicine, supported by Health Data Research UK (HDR UK) will help you develop the specialist skills you need to become a successful and in-demand health data scientist.

Data Science and AI (Online)
Applied Data Science and AI (Online) at OPIT - Open Institute of Technology is designed for graduate students who seek a career at the intersection of management and tech departments within companies.

Business Analytics and Data Science
Applying a hands-on approach, this Business Analytics and Data Science program from EU Business School gives students a comprehensive foundation in data science, using industry-leading software, tools and applications.

Statistics - Data Science
The International Master of Arts programme in Statistics - Data Science at the University of Haifa serves as a gateway to versatile career prospects.

Big Data Analytics Stream: Applied Modelling and Quantitative Methods
This interdisciplinary thesis-based Big Data Analytics Stream: Applied Modelling and Quantitative Methods option from Trent University offers fresh perspectives for students pursuing an M.A. or M.Sc., bringing together scholars from across economics, computer science, math, and psychology to exchange ideas and share knowledge.

Built Environment - Sustainable Heritage (Data Science)
The Built Environment - Sustainable Heritage (Data Science) programme from UCL prepares you to become a skilled data scientist, working through the dynamic lens of cultural heritage.

Big Data
The Master of Science and Engineering in Big Data programme from JUNIA ISEN - Graduate School of Science and Engineering allows you to develop cutting-edge skills in AI and Big Data through advanced machine learning, NLP, computer vision, and generative technologies. Strengthen your expertise in data analysis, cloud architecture, and model deployment, while gaining the technical and ethical foundations needed to drive innovation in tomorrow’s digital landscape. In the second year, you’ll tailor your path by choosing a specialization in either Big Data or Artificial Intelligence.

Human Rights and Data Science
The Human Rights and Data Science at The American University of Paris prepares rising professionals to play highly specialized roles bridging the worlds of human rights and data science – an emerging and dynamic field of expertise in increasingly high demand.

Artificial Intelligence
Delivered 100% online, the MSc Artificial Intelligence course from University of Leeds equips you with the latest AI knowledge and skills that employers are actively seeking. With our premium online course, you’ll join a global network of professionals, engage in live sessions with expert academics and collaborate in virtual social spaces. This programme has been refreshed for 2026.

Data Science and Artificial Intelligence
The Data Science and Artificial Intelligence degree delivered at University of Liverpool is designed for those without a computer science related degree, who are seeking to develop their maths skills and their knowledge and technical expertise in the areas of Data Science and AI.

Data Engineering and Cloud Computing
The aim of the Data Engineering and Cloud Computing course at aivancity School of AI and Data for Business and Society is to train students to become experts in data management and to master the complete data engineering cycle: acquisition, architecture, storage, cleansing, pipelining, securing, structuring, analysis and visualization.

Statistics (Data Science and Machine Learning)
The MSc in Statistics (Data Science and Machine Learning) at Imperial considers how these methods are used in a variety of areas. These include scientific, governmental, industrial and commercial settings.

Complex and Data Driven Chemistry
The programme Complex and Data Driven Chemistry from the University of Padua introduces the fundamental concepts of "data-driven chemistry": statistical learning, chemometrics, and design of experiments.