Bachelor in Data Science and Bigdata Technology (Chinese-taught)

Central South University (CSU) in Changsha is a major Chinese national university formed in 2000 through the merger of three institutions and recognized as a Double First Class university. Home to more than 55,000 students and over 1,600 international students, CSU offers a comprehensive range of programs across engineering, medicine, materials science, rail transit and the social sciences, organized within numerous schools and research institutes.

CSU is research-intensive with national key laboratories, engineering centers and clinical hospitals that support advanced inquiry and applied innovation. The university promotes international collaborations with partners in more than 30 countries and provides scholarship opportunities for international applicants, including full and partial awards that may cover tuition, accommodation and stipends. Language pathways and preparatory programs are available for students who need to strengthen Chinese or English proficiency prior to degree study.

Campus life in Changsha blends a vibrant urban setting with extensive on-campus services and multiple accommodation options for overseas students. CSU’s strong industry links and alumni network support internships and employment outcomes, while a broad range of academic fields and postdoctoral centers make it a good fit for students seeking rigorous research training or professionally oriented degrees in one of China’s leading comprehensive universities.

The Bachelor in Data Science and Bigdata Technology at Central South University is a Chinese-taught program for students interested in data science. This bachelor degree takes 4 years to complete and focuses on big data technology.

The curriculum includes subjects like data mining, machine learning, and data visualization. Students gain skills in programming languages like Python, R, or SQL, and learn to work with big data tools and technologies through practical exercises.

Graduates can work as Data Analysts, Business Intelligence Developers, Data Scientists, or IT Consultants in industries like finance, healthcare, or technology.