Background and Vision

In the era of the digital economy, proficiency in statistical methods, data modeling, and analytical reasoning has become essential, driving urgent demand for data analysis professionals across diverse sectors, including Internet technology, healthcare, public policy, and market research, and beyond. Applied Statistics integrates statistical theory with modern computational techniques, serving as a core tool for interpreting data patterns and supporting data-driven decision-making. This program is dedicated to cultivating high-caliber, application-oriented statistical professionals who can meet the demands of social development and provide robust support for data-driven strategies in various fields.

 

Objectives

This program aims to cultivate well-rounded, interdisciplinary professionals in Applied Statistics. Students will systematically acquire core knowledge in areas such as statistical modeling, data analysis, machine learning, and data visualization. They will also develop practical skills in data collection and processing, model construction, metric interpretation, risk assessment, and data presentation. Graduates will be equipped to work in various organizations in roles related to data analysis, business intelligence, decision support, and data science.

 

Program Highlights and Career Prospects

Key Features

Application-Oriented curriculum: The core curriculum blends statistics, computer science, data analysis, and artificial intelligence, breaking down traditional disciplinary barriers and emphasizing the application of techniques in real-world scenarios.

Outstanding Faculty: Our instructors hold degrees in Statistics, Data Science, and related fields from prestigious universities in China and abroad. Some are certified as "Dual-Qualified" instructors, possessing both strong academic and teaching credentials as well as extensive practical industry experience.

  

Career Prospects

Positions:Data Scientist, Business Analyst, Risk Modeler, Data Product Manager, and related roles.

Entrepreneurship: Opportunities to found startups in data consulting, business intelligence analytics, or data technology.

Further Education: Graduates are well-prepared for master's programs at China and overseas universities, such as Data Science (University of Melbourne), Applied Statistics (National University of Singapore), Computational Data Science (Australian National University), etc.

Civil Service: Suitable for positions in data governance and analysis at organizations like the National Bureau of Statistics, data administration agencies at various levels, development and planning departments, and related research institutions.

 

Courses

Core Courses:Probability Theory and Mathematical Statistics, Applied Regression Analysis, Fundamentals of Machine Learning, Data Mining, Statistical Computing, Time Series Analysis, Multivariate Statistical Analysis, Principles and Practice of Data Visualization, Database Principles and Applications.

Elective Courses: Statistical Modeling with R, Stochastic Processes, Nonparametric Statistics, CDA Data Analyst Certification Training, etc.

Practical Training: Comprehensive Data Analysis Project, Business Big Data Analysis Practical Training, Applied Regression Analysis Practical Training, Graduation Internship and Thesis.

Fig1.Student Learning Software Platform

Industry Partnerships

Competitions and Events: Students are organized to participate in high-level academic competitions such as the National Statistical Modeling Contest for College Students, the Data Mining Challenge, and the Market Research and Analysis Competition. They also regularly take part in corporate data open projects and social surveys to broaden their industry perspectives, gain hands-on experience, and comprehensively enhance their professional application and practical skills.

 

Industry Integration: We collaborate with numerous high-quality technology companies and data analytics firms to establish practical training bases. Regular on-the-job training sessions are organized, allowing students to master skills in data analysis, report writing, and solution design through real project assignments. Partner enterprises prioritize hiring outstanding graduates from our program, creating a virtuous cycle of "training - skill development - high-quality employment."

Fig2.Students participating in an internship