Focus on Computer Technology, Artificial Intelligence methods and Statistical theory to solve Big Data intelligent analysis, processing and decision-making problems in industrial applications.

Related English-taught Master Program

Supported by the 4 master's degree programs in Mathematics Physics, Applied Statistics, Simulation Calculation and Statistics, we have established researching institutes for “Data Science and Artificial Intelligence” laboratory, focusing on areas such as “Machine Learning and Big Data Processing”, “Big Data Processing and Statistical Analysis”, “Big Data Analysis and Applications” and “Big Data Intelligent Processing”

Career Prospects

With the rapid development of AI technology, big data technical talents have a wide range of needs worldwide. From the world's top 500 companies such as BAT to small startups, they all need data talent.

After four years of study in Data Science and Big Data Technology, Most students can start their career in the following three directions:

1. Big data development direction; the occupations involved are: big data engineer, big data maintenance engineer, big data R & D engineer, big data architect, etc.;

2. Data mining, data analysis, and machine learning; the occupations involved are: big data analysts, big data senior engineers, big data analyst experts, big data miners, big data algorithm engineers, etc.;

3. Big data operation and maintenance and cloud computing direction; corresponding positions: big data operation and maintenance engineer;

The other graduates continue to pursue postgraduate studies, in universities around China and overseas eg in Canada. Their excellent academic performance and extra-curriculum activity gives them an overwhelming advantage in scholarship applications. Many graduates proceed to pursue master's degree at our own school with familiar supervisors.

Main Courses

Core Courses: Database, Optimization Methods, Multivariate Statistical Analysis, Machine learning, Computer Organization and Architecture, Data Warehouse, Data Mining, Programming and Algorithm, etc.

Internship and Practice: Cognition Practice, Integrated Course Design, Special Experiments on Machine Learning Algorithms, Technology Practice, Undergraduate Design/Thesis.

NOTE: The university may have additional program-specific eligibility requirements.
It is recommended to verify these on the official university website.