Schools

01 / School Overview

As a key school prioritized for development at Xi'an Eurasia University, the School of Data Science is one of the first private university schools in Shaanxi Province approved to offer the Data Science and Big Data Technology program. Integrating teaching, scientific research and industrial services, the school serves as a council member of authoritative academic institutions including the Chinese Statistical Society and the Chinese Society of Business Statistics, and strives to become a benchmark school in the fields of data science and artificial intelligence.

Guided by the core philosophy of "Data + Business + AI", the school closely keeps pace with the development trends of artificial intelligence, digital economy and globalization. It is committed to cultivating application-oriented new retail data talents who are proficient in business, skilled in technology and capable of realizing practical value through professional expertise.

02 / Outstanding Faculty · Industry Leadership

The school assembles elite teaching and research talents at the national and provincial levels, forming a high-quality, industry-experienced faculty team with strong academic and practical capabilities:

Honorary faculty titles: 1 Shaanxi Provincial Model Worker, 1 Shaanxi Provincial Model Teacher of Professional Ethics and May 1st Women Pace-setter, 5 Provincial Outstanding Teachers, 1 Outstanding Instructor for Shaanxi Provincial Mathematical Modeling Competition, 1 Outstanding Instructor for National College Students' Market Research and Analysis Competition, and more than 20 university-level Distinguished Teachers and Core Technical Talents.

• Academic teams: 1 provincial scientific research and innovation team, 1 provincial outstanding teaching team, 1 provincial innovation studio, and 1 university-level scientific research team, all dedicated to frontier research in data science.

• Industry academic influence: Faculty members hold core positions including vice president and executive director in numerous authoritative organizations, such as the AI Branch of Chinese Society of Business Statistics, National Industry-Education Integration Community for Digital Commerce, Chinese Association of Young Statisticians, Shaanxi Provincial Statistical Society and Shaanxi Computer Association. They actively participate in the formulation of industrial standards and high-level academic exchanges.

03 / Signature Programs · Industry-Academia Integration

The school offers three flagship programs to empower students to grow into leaders in the digital era:

1. Economic Statistics: Consumer Insights and Quantitative Decision-Making (Operation-Oriented)

• Program Positioning: A provincial pilot program for comprehensive reform, serving as an interdisciplinary discipline integrating data science and economics.

• Core Research Directions: Artificial Intelligence and Statistical Analysis, Data Element Analysis

• Core Courses: Econometrics, Time Series Analysis, Python Programming, Statistics, Machine Learning, Intelligent Competitive Decision Analysis, Text Information Processing and Application, AI Application Practice, Public Data Empowerment and Application

• Career Prospects: Financial Risk Control Modeler, Business Intelligence Analyst, E-commerce Data Operation Specialist, Government Big Data Engineer, Macroeconomic Forecasting Researcher, etc.

2. Data Science and Big Data Technology: Algorithm Modeling and Intelligent Application (Technology-Oriented)

• Program Positioning: A university-level flagship program with customized industry cooperative classes offering direct employment pathways (FineReport, Transcosmos). As one of the earliest established and enrolled programs in Northwest China, it is included in the Ministry of Education’s Industry-Education Collaboration and Talent Development Project. It has been rated as a 5-star top applied program in China by the Alumni Association Rankings.

• Core Research Directions: Data Intelligence and Application, Data Engineering and Platform, Bilingual Big Data Class

• Core Courses & Practical Projects: Deep Learning, Machine Learning, Distributed Storage, Database Principles, Computer Networks, Text Information Processing and Application, Artificial Intelligence Literacy, AI Agent Development

• Career Prospects: Big Data Development Engineer, Big Data Implementation Engineer, AI Product Manager, Big Data System Architect, Data Analyst

3. Big Data Management and Application: Business Deployment and Value Transformation (Management-Oriented)

• Program Positioning: Co-built with Xi'an Quality Management Research Institute and Gouxionghui Data Science Research Institute, focusing on cultivating interdisciplinary talents with dual competencies in "Data + Management".

• Core Research Directions: Government Data Governance, Business Analytics

• Core Courses: Big Data Management and Governance, Management Science, Tableau/Power BI Data Visualization, Python/SQL Data Analysis, Business Data Analysis, Government Data Cataloging, PMI International Project Management System

• Career Prospects: Data Governance Engineer, Data Product Manager, Business Analyst, Data Operation Specialist, Management Positions in Corporate Data Departments

04 / Teaching Innovation · Practical Empowerment

• High-quality Curriculum Development: The school has built 1 provincial model course, 2 provincial first-class courses, 4 national open online courses, more than 10 textbooks compiled by faculty members, 11 industry-co-developed courses, 3 university-level value education integrated courses, and 4 university-level key courses.

• Interdisciplinary Curriculum System: Integrating programming, statistical analysis, machine learning, artificial intelligence and management thinking, the school offers cutting-edge courses such as Deep Learning, Business Intelligence and Application and Python Programming.

• Dual-mentor Training Mechanism: Adopting collaborative guidance from academic supervisors and industry mentors, the school enables students to win over 120 awards at or above the provincial level annually in various discipline competitions.

• Practical Project Transformation: The school has established a Data Innovation and Practical Teaching Center and a university-industry joint experimental platform. It owns 35 off-campus internship and training bases, 8 professional laboratories and 5 faculty-student studios, with more than 30 real industrial projects incorporated into classroom teaching cases.

05 / Resource Platform · Industry Connection

• Integrated Industry Resources: The school maintains in-depth cooperation with more than 15 leading enterprises including ZTE, Meilin Data, AsiaInfo Technologies, Chengmai Technology, FineReport Software, Transcosmos and TAL Education. Joint customized training programs are launched to build an integrated pathway for student internship and employment.

• Real Project-Driven Teaching: The school has carried out over 30 university-industry cooperative projects with the Ministry of Ecology and Environment, Changtian Siyuan, Xingtong Tian’an, BitSense and other institutions, covering atmospheric pollutant emission inventory analysis, corporate pollutant emission monitoring, logistics vehicle safe driving behavior analysis, natural gas consumption behavior analysis and other fields. Nearly 40% of students participate in industrial research projects, ensuring continuous practical project experience throughout their four years of undergraduate study.

• Provincial-Level Scientific Research Platforms: Supporting faculty research in data security, fintech and other frontier fields, the school has undertaken more than 100 provincial and ministerial-level research projects in the past three years.

• International Exchange & Cooperation: A bilingual big data class has been established to broaden the global vision of teachers and students. Through diversified international education activities including cross-cultural lectures, English corners, bilingual teaching of professional courses, short-term overseas study tours and exchange programs, and corporate global experience programs, the school effectively improves the quality of international talent cultivation.

06 / Vision and Mission

Rooted in the university’s strategic layout of "New Retail", the School of Data Science is dedicated to cultivating interdisciplinary and application-oriented talents proficient in "Data + Business + AI". Based on diversified new retail scenarios, the school empowers business operation, precision marketing and experience optimization through data technology, and helps students build comprehensive interdisciplinary integration capabilities.

Adhering to the talent cultivation principle of "enterprise-oriented and student-centered", the school implements this philosophy into every course and practical project. It aims to cultivate high-end, sought-after data and AI talents who can perfectly adapt to the development demands of the new retail era.