Bachelor in Statistics

Southern University of Science and Technology (SUSTech), founded in 2010 and located in Shenzhen near Hong Kong, is a fast-rising public research university focused on science, technology and engineering. With a compact campus set among wooded hills and roughly 6,400 students, SUSTech combines a modern research orientation with a close faculty-to-student ratio. Academic offerings concentrate on physics, chemistry, biology, materials, electronic and electrical engineering, finance, mathematics and computing, and many courses draw on English-language textbooks and international teaching practices.

Student life emphasizes hands-on learning, small-class instruction and undergraduate participation in research. Residential halls and an adviser system foster a living-learning community, and more than fifty student societies cover science, entrepreneurship, arts and sports. Well-equipped laboratories, research centers and a strong library support project work, while Shenzhen’s status as an innovation and manufacturing hub creates plentiful internship and industry collaboration opportunities for students pursuing applied experience.

For international students seeking an English-friendly STEM environment, SUSTech offers intensive mentorship, active research opportunities and growing global partnerships. The university’s proximity to major tech companies and cross-border connections with Hong Kong make it attractive for those who want industry exposure alongside rigorous academic training. SUSTech is particularly well suited to students who value research engagement, interdisciplinary study and practical pathways into research careers or technology industries in one of China’s most dynamic cities.

The Bachelor in Statistics at Southern University of Science and Technology is a 4-year program taught in English, ideal for students who want to develop strong analytical skills. This degree helps students understand complex data and make informed decisions.

The curriculum covers subjects like probability, regression, and statistical modeling, with hands-on components to help students develop skills in data analysis and interpretation. Students will learn to use statistical software and work on projects to apply theoretical concepts to real-world problems.

Graduates can pursue careers as Data Analysts, Statisticians, Business Intelligence Developers, or Operations Research Analysts, working in industries like finance, healthcare, or government. They can also work as Marketing Researchers or Risk Analysts, helping organizations make data-driven decisions.