572 Data Science Masters Degree Programs

Designed for working professionals looking to advance their careers, the Online MSc in Data Science is an online Master of Science in Data Science from Southern Methodist University. The program’s interdisciplinary curriculum prepares data science professionals to work with large datasets, analyze information and relate findings. The program blends live online classes, self-paced coursework and in-person learning experiences with classmates and faculty.

Developed by the School of Information Studies in conjunction with the Martin J. Whitman School of Management, the online MS in Applied Data Science program draws insights from both the field of information studies and the field of management to help students effectively apply analytical concepts to gain insight from data. Featuring live online classes, interactive coursework, and opportunities to network, the online program facilitates collaboration, problem-solving, and in-depth analysis within an interdisciplinary curriculum.

Offered by the University of Sydney – ranked No.19 in the world – the online Master of Data Science prepares you to make an impact and lead in the rapidly growing field of data technology. You will benefit from a multidisciplinary, innovative course structure and learn from international experts in AI and machine learning, with the added flexibility of being 100 per cent online.

The Master of Science in Technology Management: Data Science leads organizational decision-making that is designed to equip you with a strong foundation in data science and the leadership skills essential for driving team success in today’s data-driven industries.

Data science is a new frontier of human knowledge and a new domain of discovery. Data scientists have the analytical and programming skills needed to extract valuable knowledge from data. The burgeoning technology sector is quickly becoming the epicentre for data science.

The data science is a new frontier of human knowledge and a new domain of discovery. Data scientists have the analytical and programming skills needed to extract valuable knowledge out of data. The burgeoning technology sector is quickly becoming the epicenter for data science.

Step into the future of technology with our Online MSc in Data Science, where you’ll learn to turn complex data into actionable insights. With practical experience in advanced topics like artificial intelligence, data visualisation, and big data analytics, you'll build the expertise to thrive in a data-driven world. 

The Master of Science in Biomedical Data Science is the first graduate programme in the Asia-Pacific region offering data science training for specific application in the biomedical domain. The programme is a joint collaboration between Nanyang Technological University (NTU) and the Agency for Science Technology and Research (A*STAR) Singapore.

This MSc offers an opportunity to join the financial technology revolution. You will learn the key design features of a number of financial technology applications and will develop skills to implement, assess and engineer these technologies. You will also develop an understanding of the computational, statistical and machine learning principles necessary for insightful large-scale data analysis used in data-driven finance.

Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive foundation in data science, using industry-leading software, tools, and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource, and learn how to apply data management skills to a business setting to effectively implement data-driven solutions.

The Master in Data Science and Artificial Intelligence is aimed at university graduates who wish to specialise in one of the most highly sought-after professions in the 21st century. The Curriculum combines courses on technology, programming and data science with others like data analysis and management.

Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive in data science, using industry-leading software, tools, and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource, and learn how to apply data management skills to a business setting in order to effectively implement data-driven solutions.

This interdisciplinary two-year master’s programme will provide you with an understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry. After graduation, you will be qualified to work in a range of positions in data-centred projects as well as pursue PhD studies in data science.

The M.Sc. program in Data Science programs run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics.

The MSc Data Science develops the expertise required to analyse economic, political, social and developmental processes using data science approaches. Students develop skills that allow them to apply machine learning and other data science methods and to critically evaluate the role of data science.

The Master of Science in Data Science with specialization in Precision Medicine studies how a large pool of data can be practically and effectively applied, which is an approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle.

The MSc in Data Science gives you a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data.