Bachelor in Data Science

South China University of Technology (SCUT), founded in 1952, is a major comprehensive university in Guangzhou with strengths across engineering, science, and business. Recognized nationally for research and teaching excellence, SCUT offers a wide range of undergraduate and postgraduate programs, many delivered in English, as well as approximately 185 disciplines that reflect its breadth. The university’s two campuses provide modern laboratories, extensive library resources, and active research collaborations that enrich the student learning experience.

International students benefit from the School of International Education, which provides language training, orientation, and degree programs taught in English. SCUT places strong emphasis on industry partnerships, internships, and interdisciplinary projects that prepare students for competitive careers. Campus life is lively, with a large Student Union, varied cultural activities, and comprehensive sports facilities that support wellbeing and community engagement.

Guangzhou’s strategic location near Hong Kong and Macau, its subtropical climate, and status as an important commercial center create additional advantages for students seeking international exposure and career opportunities. SCUT’s commitment to global cooperation, sizable international student body, and robust academic support make it an attractive destination for students aiming to combine rigorous study with practical experience in one of China’s most dynamic southern cities.

The Bachelor in Data Science at South China University of Technology is a 3-year program for students who want to learn about data analysis and interpretation. It's taught in English and helps students develop a strong foundation in data science.

The curriculum includes subjects like machine learning, data visualization, and statistical modeling. Students will develop skills in programming languages like Python and R, and work on hands-on projects to apply their knowledge.

Graduates of this program can pursue careers as Data Analysts, Business Intelligence Developers, Quantitative Analysts, Data Scientists, or Machine Learning Engineers. They can work in various industries, including finance, healthcare, and technology.