12 Data Science Degree Programs in China

The MSc in Healthcare Innovation & Data Science is tailored to provide you with the skills and knowledge needed to thrive in the fields of healthcare data science, artificial intelligence, and machine learning. Through this program, you will learn how to transform biological, medical, and business data into actionable insights, enabling impactful decisions and driving innovation. This advanced degree offers comprehensive training in healthcare management and innovative strategies, emphasizing the creation of new products and services, the adoption of digital technologies, and the adaptation of business models. It addresses the unique challenges and opportunities faced by organizations across the healthcare sector, including hospitals, pharmaceutical and vaccine companies, medical device manufacturers, diagnostic firms, and consulting agencies.

Bachelor in Data Science and Big Data Technology focuses on Computer Technology, Artificial Intelligence methods, and Statistical theory to solve Big Data intelligent analysis, processing, and decision-making problems in industrial applications.

For the Data Science and Analytics specialisation. The Red Bird MPhil Program explores a student-centered interdisciplinary education paradigm through guided learning, creating an optimal growth environment for future strategic engineers and scientists to discover themselves, unleash their potential, and continuously improve their abilities.

The iMDS program under the guidance of Center for Data Science, Zhejiang University (CDS) equips students with theory and practical skills in Big Data, focusing on technological innovation in big data collection, clarity, storage, mining, analysis and visualization algorithms. Mentors of this program graduated from world-class universities like University of Pennsylvania and National University of Singapore.

The field of Data Science deals with the theories, methodologies and tools of applying statistical concepts and computational techniques to various data analysis problems related to science, engineering, medicine, business, etc. The objective is to inspect, clean, transform and model data in order to discover useful information, suggest conclusions and support decision-making. It is an emerging topic that plays a critical role in almost every discipline of today’s science and technology and has become an indispensable component of any business, industry, enterprise, etc.

The Graduate Certificate in Data Science in Quantitative Finance is designed to meet the evolving “modelling needs” of the quantitative finance industry in data science and analysis. The program, comprising of machine learning theory and applications and advanced quantitative methods, provides participants with additional specialised skill sets – specifically in data science – that are in high demand, even among the more traditional financial organisations. This data science program also enables Master of Quantitative Finance graduates to extend the specialist skills and expertise of the quantitative finance specialisation through completion of the Graduate Certificate in Data Science in Quantitative Finance as a standalone graduate certificate.

The Graduate Certificate in Data Science and Innovation is designed for students to gain data science skills in a fast-paced mode. It has a flexible and comprehensive course structure with a group of fundamental and advanced subjects. This allows people with different backgrounds and learning objectives to take the course either as a fast-track pathway into the data science industry, or to develop specialised skills to further enhance their data science career. Taking a transdisciplinary approach, the course integrates fundamental theories with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. Upon successful completion of the graduate certificate, students can also choose to progress to the Graduate Diploma in Data Science and Innovation (C60124) or Master of Data Science and Innovation (C04372), a world-leading program of study in analytics and data science.

The Master of Data Science and Innovation is a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. Industry partnerships and engagement are a core part of the course. The course curriculum and subjects are co- designed and developed by UTS academic data experts and industry partners, and regularly reviewed and updated to keep up with the current market needs and latest data science trends. During the course study, students have abundant opportunities working on real world data sets/projects.

The Graduate Diploma in Data Science and Innovation is a nested qualification within the Master of Data Science and Innovation (C04372), a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the master's course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities.

This course is designed for professionals seeking to advance their careers by leading in data science and driving innovation within organisations. It offers not only technical proficiency but also the strategic and leadership skills required to excel at the executive level. Through a unique transdisciplinary approach, the program combines cutting-edge data science with industry-relevant experience, preparing students to lead teams and transform business practices.

Following XJTLU’s exciting and innovative Syntegrative Educational Model, this programme is an equal collaboration between the University and its industry partner, Sugon, at the School of AI and Advanced Computing in XJTLU Entrepreneur College (Taicang).

The Master of Cyber Security Analysis is designed to give students the skills needed to protect digital information and systems. The program covers key areas like cybersecurity principles, threat dete...