Program code: 080910T             

Study mode: Full-time

Duration: 4 Years

Degree conferred: Bachelor of Engineering

Teaching School: School of Future Technology

Program Overview

The program of data science and big Data Technology relies on the advantages of the big dataindustry in the Guangdong-Hong Kong-Macao Greater Bay Area, closely focuses on the industrialdemand, highlights the cutting-edge development of the big data industry, further promotes theinterdisciplinary, and cultivates high-level international elite talents of big data with internationalvision. This program focuses on the cultivation of practical links and innovation ability, highlights thetraining characteristics of the combination of theoretical courses and practical training courses,strengthens engineering training, realizes international standards, and cultivates compound big dataresearch and engineering leading talents with solid foundation, strong engineering ability, goodEnglish and cooperation ability.

This program involves a large number of theoretical knowledge and technical methodsincluding mathematics, natural science, computer science and engineering. It focuses on the needs ofthe industry, pays attention to the intersection of frontiers, deeply cultivates industry-universitycooperation, pays attention to international exchanges and school-enterprise cooperation. Aftergraduation, students can continue to study for master's and doctoral degrees in related fields, orengage in big data research, analysis, application, and decision-making in state organs, enterprisesand public institutions.

Educational Objectives

This program is oriented to the national big data development plan, relying on the high-qualitydevelopment of the national digital economy and the development needs of the big data industry in theGuangdong-Hong Kong-Macao Greater Bay Area, which aims to cultivate the all-round developmentof morality, intelligence, physique and 'Three creative' (innovation, creation and entrepreneurship)outstanding data science and big data technology leading talents with solid professional knowledgeand comprehensive ability of data science and big data technology, national feelings and global vision,excellent 'three strengths' (learning ability, thinking ability and action power), and competent forinternational cooperation and competition, including the following four goals:

1. Practice socialist core values, have good humanities literacy, social responsibility and environmental protection awareness, understand and correctly evaluate the impactof the big data engineering practice activities on culture, health, safety, environment and socialsustainable development, be familiar with the laws and regulations of the industry, and adhere tothe professional ethics. (Moral quality)

2. Have the basic knowledge, basic skills and basic quality of scientificresearch in the field of data science and big data technology, have the comprehensive ability to applybig data theory and methods to solve key technical problems in the industry in an interdisciplinary way,and have the potential of source innovation and leading the development of industry technology.(Professional quality)

3. Be a team player, able to demonstrate independent work, teamwork andorganizational leadership in professional practice and multidisciplinary teams; Able to effectivelycommunicate and exchange with industry peers and the public on complex technology applicationproblems in the field of big data. (Communication and collaboration skills).

4. Have an international perspective, constantly expand and improve theprofessional quality and professional application ability related to big data, able to track the development of big data field, acquire and update knowledge, and have the ability of lifelonglearning.(Lifelong learning ability).

After four years of study, graduates can engage in big data research, design, development andmanagement in enterprises, scientific research departments, universities and institutions, and promotethe innovative application of big data technology in Internet, health, finance, education, transportation,energy and other related industries. Within five years after graduation, he will become an innovativetechnology leader, important engineering manager and professional market pioneer in the field of bigdata.

Student Outcomes

• Engineering knowledge: Use basic knowledge of mathematics, natural science, computingand engineering as well as professional knowledge of data science and big data technology toformulate solutions to complex engineering problems in the field of big data.

• Problem Analysis: An ability to use the first principle of mathematics, natural science andengineering science to identify, formulate, study and analyze complex engineering problems in thefield of big data, draw valid conclusions and consider sustainable development as a whole.

• Design/Development of Solutions: An ability to design creative solutions for complex engineering problems in the field of big data, and design systems, components or processes to meetidentified needs, taking due account of public health and safety, the cost of the entire lifecycle, netzero carbon, and resource, cultural, social and environmental factors.

• Research: An ability to use research methods to study complex engineering problems andsystems in the field of big data, including research based knowledge, design experiments, analysis andinterpretation of data, and synthesis of information to provide effective conclusions.

• Use of Tools: An ability to create, select, and apply appropriate technologies, resources, andmodern engineering and information technology tools, including prediction and modeling, andrecognize their limitations to solve complex engineering problems in the field of big data.

• Engineers and The World: An ability to analyze and evaluate the results of sustainable development, and the impact of society, economy, sustainability, health and safety, law and environment in solving complex engineering problems in the field of big data.

• Moral cultivation and ethics: understand and master the scientific world outlook and methodology, have good ideological morality and social ethics, and have national feelings and socialresponsibility; Apply ethical principles to the practice and norms of professional ethics engineering inthe field of big data; And comply with relevant national and international laws. Demonstrate anunderstanding of the need for diversity and inclusion.

• Individual and Collaborative Team Work: An ability to Effectively play a role as an individual, member or leader in a diverse and inclusive team, as well as in a multidisciplinary, remoteand distributed environment.

• Communication: An ability to effective and inclusive communication with the engineeringcommunity and the whole society in complex engineering activities in the field of big data, includingwriting and understanding effective reports and design documents, and effective introduction;Consider cultural, language and learning differences.

• Project Management and Finance: An ability to apply the knowledge and understanding ofengineering management principles and economic decisions in the field of big data, and applythem totheir own work. As a team member and leader, manage projects and multidisciplinary environments.

• Continuous Lifelong Learning: An ability to recognizing the need and being prepared andable to engage in: i) independent and lifelong learning, ii) adapting to new and emerging technologies,and iii) critical thinking in the broadest context of technological change.

Program Features

This program has synergistic advantages of interdisciplinary teachers, international teachers andindustrial resources. Relying on the foundation of big data industry in the Bay Area, it offers international frontier courses and industry-learning cross-system integration courses in the fields ofdata science, big data, artificial intelligence, etc., to cultivate students' innovative research and engineering practice ability in the field of data science and big data technology.

Core Courses

 Artificial IntelligenceⅢ:  

• Introduction to Big Data

• Discrete Mathematics

• DataStructures,Computer Network

• Computer Organization and Architecture

• Operating System, DatabaseSystem

• Introduction to Computer and Software Engineering  

• Cloud Computing and Big DataPlatform

• Machine Learning

• Data Mining

 Integrated Core Courses:

• Fundamentals of Compute

• Artificial

• Fundamentals of C++ Programming

• Introduction to Big Data

Featured Courses

 Freshmen Seminars:

• Introduction to Engineering I

 Project-based Courses:

• Practice of Introduction to Engineering I

 Global Education Courses:

• Introduction to Big Data

• Special Topic for Artificial Intelligence Application

 Special Topic:

• Introduction to Engineering I

 Subject Frontiers Courses:

• Cloud Computing and Big Data Platform

 Interdisciplinary Courses:

• Design Thinking Innovation and Practice

• Big Data Management andDecision Making

 Baccalaureate-Master’s Integrated Courses:

• Principle and Method of Numerical Calculation

 Baccalaureate-Master’s Sharing Courses:

• Architecture and Technology of Big Data Platform

 Cooperative Courses with Enterprises:

• 3D Vision Intelligence

• Metaverse Introduction and Practice

• Large Language Model and Artificial Intelligence Engineering Design

 Innovation Practice:

• Design Thinking Innovation and Practice ('Three ones' Courses)

 Entrepreneurship Courses:

• Design Thinking Innovation and Practice ('Three ones' Courses)

 Workshops:

• Design Thinking Innovation and Practice

 Special Designs:

• Big Data Application Case and Practice

• Introduction to Engineering I

 Contest-Teaching Integrated Courses:

• Algorithm Design and Analysis

• DataStructures,Introduction to Engineering I

• 3D Vision Intelligence

 Education on The Hard-Working Spirit:

• Engineering Innovation Training II

 Graduation Practice:

• Practice of Introduction to Engineering I  

• 3D Vision Intelligence