Big Data & Management
Bachelor
Overview
This major emphasizes cultivating students with a solid mathematical foundation and computational thinking ability, mastering the basic theories and methods of big data technology, familiarizing themselves with modern information management technology and methods, focusing on the study of e-commerce and management knowledge, and emphasizing the ability to apply theoretical knowledge to solve practical business problems. The course aims to develop students who are skilled in using business data for quantitative analysis and ultimately achieving intelligent business decision-making.
Degrees Awarded:
- Chinese Degree: Bachelor of Management from Shenzhen University
- Foreign Degree: Bachelor of Science in Big Data Management and Applications from Audencia Business School, France
Course Focus:
From "Internet Plus" to comprehensive digitalization, China's digital economy is accelerating, injecting strong momentum into economic and social development and placing new demands on e-commerce talent. Against this backdrop, China's e-commerce development is moving towards big data management and advanced applications (such as artificial intelligence and cloud computing). Recognizing big data as a strategic resource and national strategy, there is a strong demand for big data talent, yet there remains a large talent gap. SAFTI actively explores the introduction of advanced European educational concepts, collaborating with Audencia Business School in France to offer a Bachelor's course in Big Data Management and Applications. The two schools integrate high-quality educational resources and teaching experiences from China and France, complementing each other's strengths, and are committed to cultivating high-quality talent in big data management and applications.
Career Prospects:
Job positions include data analysts, data scientists, and enterprise data officers.
Graduate Destinations:
Graduates typically work in financial institutions such as commercial banks, investment banks, securities firms, insurance companies; technology companies; government agencies; and financial regulatory departments.
Structure
在互联网思维框架下，结合大数据人才的社会需求，本专业着力培养大数据管理应用专业的复合型高素质人才，坚持“理论+实践+创新”的人才培养模式，具备扎实的数学基础和计算思维能力，掌握大数据技术专业的基本理论和基本方法，熟悉现代信息管理技术与方法，注重对电子商务与管理知识的学习，强调培养学生将所学理论知识应用于解决实际商业问题的能力，具有较强实践和创新能力，善于利用商务数据去定量化分析，并能最终实现智能化商业决策。
培养特色：
1.交叉学科：文理双修，课程覆盖管理与计算机相关核心课程，侧重应用与实践，涉及多学科、多领域交叉培养，涵盖管理、计算机、经济等专业核心模块。
2.中法双学士：达到毕业和学位授予条件的学生，将同时获得深圳大学电子商务专业毕业证书、管理学学士学位证书以及法国南特高等商学院大数据管理与应用理学学士学位证书。
3.三重师资：由国内学术大咖、行业翘楚，法国精英教师组成的中方、企方、法方高水平、国际化师资队伍加持培养。
4.全方位多元培养：专业课程由中法教师担任，引进原版教材，采用全英教学，学生可享受中法两校学习资源，体会国际顶级商学院授课氛围；学院不定期开展各类文化交流、特色学生活动、企业参访活动等；推出“金科玉律”“商学思享”“商战思享”“商才思享”等系列专题讲座，邀请业界、学界知名专家、学者亲临分享，开拓学生视野、培养创新意识。
创新实践：
强调培养学生实践与动手能力，学院与国内知名金融科技企业如微众银行、平安银行等进行教学与实习实践合作；本专业拥有深大微众本科教学实验室，实验室以微众银行所开发企业总控中心系统为轴，搭建有金融区块链平台FISCO BCOS，WeCube分布式基础架构，WeDataSphere金融大数据平台、联邦学习开源平台FATE等商业级数据平台系统，可用于本专业专业区块链、云存储、大数据各核心技术相关课程的实验环节。
南特梦想学分计划：
学院与南特高等商学院携手打造“Audencia梦想学分”系列活动，面向全体深圳南特金融科技学院（SAFTI）本科及硕士学生开放。学生通过优秀的学业表现、优异的学术及文体竞赛成绩，获取“Audencia梦想学分”。积累的梦想学分可用于兑换“Audencia国际游学基金”，助力合作办学学生开拓国际视野，培养跨文化沟通和创新能力。
主要课程：
程序设计基础、金融科技导论、数据结构、大数据与金融、数据库系统、数据挖掘、企业战略、数字战略和内容营销、区块链与商业分析、国际市场营销、数字营销等。
Costs
Tuition
HK$86,831.73
(international)
HK$86,831.73
(home)
Funding
In addition to the university-level scholarships at Shenzhen University, the institute offers the distinctive "Audencia Scholarship." This scholarship program is continuously optimized to emphasize the comprehensive development of talents in academic excellence, innovation, entrepreneurship, and social spirit.
The "Audencia Scholarship" includes the following categories:
- Excellence Scholarship
- Academic Scholarship
- Research Scholarship
- Competition Scholarship
- National Defense Scholarship
- Study Abroad Scholarship
- Grassroots Service Scholarship
- Exchange Study Scholarship
According to statistics, in the 2022-2023 academic year, a total of 88 students received institute-level scholarships, with the total amount awarded under the "Audencia Scholarship" reaching 532,000 RMB.
Admissions
Language requirements
IELTS
5.5