Xi'an Jiaotong-Liverpool University

Overview

Data Science and Big Data Technology with Contemporary Entrepreneurialism (BEng) at Xi’an Jiaotong-Liverpool University (XJTLU) offers a unique blend of core data science training and an entrepreneurial perspective. The program utilizes the Syntegrative Educational Model, ensuring a strong connection with industry partners, and is designed to equip students with essential skills for managing large datasets and creating data-driven innovations.

What you'll study

The curriculum integrates foundational computing and data science courses with applied analytics and entrepreneurship-focused modules. The specific modules may vary, but students can expect to engage with the following:

• Database Development and Design
• Pattern Recognition
• Design and Analysis of Algorithms
• Data Analytics and Visualization
• Applied Linear Statistical Models

Learning outcomes: Graduates will gain proficiency in designing data systems, applying statistical and machine learning techniques, and effectively communicating insights through visual analytics. Additionally, the program fosters an entrepreneurial mindset, encouraging innovation in data-driven product development.

Entry requirements

Entry into this program is primarily based on academic qualifications and suitability for an engineering and data-focused curriculum. While there are no specific GRE or GMAT requirements, candidates should typically demonstrate a strong academic background.

Typical high school performance: Applicants are generally expected to maintain a strong academic record with relevant subjects and a minimum B average in all subjects as outlined in the program’s entry guidelines.

Career prospects

Graduates of the Data Science and Big Data Technology with Contemporary Entrepreneurialism program are well-prepared for various roles in the growing fields of data science and analytics. With a comprehensive understanding of data technologies and an entrepreneurial approach, alumni can pursue careers such as data analyst, data scientist, business intelligence developer, and roles in tech-driven startups and established companies alike.