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5 Data Analytics Degree Programs in China
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The Hong Kong University of Science and Technology (Guangzhou) - Data Science and Analytics Thrust - Information HUB
MPhil / PhD in Data Science and Analytics
- Guangzhou, China
PhD
Full time, Part time
3 years
On-Campus
English
The Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) Programs in Data Science and Analytics aim to facilitate close integration of statistical analytics, logical reasoning, and computational intelligence in the study of data processing and analytics.
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ESSCA School of Management
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MSc in Business Analytics - Track Finance & Data Analytics
- Shanghai, China
- Paris, France
MSc
Full time
12 months
On-Campus
English
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The MSc in Finance and Data Analytics provides essential tools for a successful finance career. This programme combines finance theory with data analytics skills. Join us to master financial modelling and data-driven decision-making
The Hong Kong University of Science and Technology (Guangzhou)
Red Bird MPhil Program - Specialisation in Data Science and Analytics
- Guangzhou, China
M.Phil. (Master of Philosophy)
Full time
2 years
On-Campus
English
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.
University of Technology Sydney
Master of Learning Analytics (Research)
- Shanghai, China
- Sydney, Australia
- + 2 more
Master degree
Full time, Part time
2 years
On-Campus
English
This is a research degree requiring an original and significant contribution to knowledge in the field of learning analytics. It provides an opportunity for graduates to acquire high-level research skills and substantially deepen their knowledge in this area. This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone. The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
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Xi'an Jiaotong-Liverpool University
MRes Pattern Recognition and Intelligent Systems
- Suzhou, China
Master degree
Full time
18 months
On-Campus
English
This research-intensive programme develops advanced skills, education and training in the areas of artificial intelligence research, including pattern recognition, computer vision, machine intelligence, and intelligent systems.
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Learn more about Data Analytics degree programs in China
Data Analytics is a dynamic field that blends statistical knowledge with data-driven decision-making. In China, this discipline has gained traction due to the rapid advancements in technology and the increasing need for data interpretation across industries.
Through courses in data visualization, predictive modeling, and statistical analysis, students will refine specific skills like interpreting large datasets, creating analytical dashboards, and deriving actionable insights from complex information. Engaging with practical case studies and collaborative projects fosters a deep understanding of real-world applications, allowing students to apply their knowledge effectively. The approach encourages independence and critical thinking as students explore various data analytics tools.
Graduates typically pursue roles such as data analyst, business intelligence developer, or data scientist. In China’s growing tech landscape, professionals equipped with data analytics expertise find opportunities in sectors ranging from finance to healthcare, where data-driven decisions are essential. As students navigate their studies, they strengthen adaptability while examining diverse perspectives on global data trends.