数据科学与大数据技术本科专业人才培养方案
(学科门类：工学 专业类：计算机类 专业代码：080910T)
Talent Training Program of Undergraduate Students of Data Science and Big Data Technology
(Subject Category: Technology Speciality: Computer Class Speciality Code:080910T)
一、培养目标 Training Objectives
本专业立足江西，面向沿海城市，坚持立德树人，培养政治思想过硬，德智体美劳全面发展，有家国情怀，掌握数据挖掘、数据存储、数据清洗、数据可视化等专业知识，具备数据存储和治理、大数据挖掘与分析、数据可视化、系统开发等方面的能力，能在纺织服装、智慧城市、安防监控、金融服务、电商、传媒、医疗等领域从事数据开发、数据分析、系统架构与决策支持等工作的高素质应用型人才。
本专业学生毕业后，通过5年左右的实践，期望达到以下目标：
（一）具备良好的思想品德和人文科学素养，在工程实践或技术开发中理解并遵守道德规范、法律法规。
（二）具有解决大数据及相关领域复杂工程问题所需要的宽广的工程科学知识、工程技术知识和工程环境知识，能综合运用数学和统计学理论与方法，结合计算机编程技术和现有软件平台，实现对海量数据的统计分析，并根据分析结果提供决策支持。
（三）能够提炼、分析和解决本领域工程项目实施过程中遇到的关键问题，具备独立从事大数据及相关领域工程项目的创新实践能力。
（四）具有一定的国际化视野，良好的团队合作精神以及组织协调和交流沟通能力，能够在实际工作中适应不同角色，担任重要的领导职务。
（五）能够积极主动适应社会环境、技术的发展变化，拥有终身学习的习惯和自主学习的能力。
Based in Jiangxi and facing coastal cities, this major insists on building up moral character and cultivating people with excellent political thinking, comprehensive development of moral, intellectual, physical, social and aesthetic skills, family sentiment, professional knowledge of data mining, data storage, data cleaning, data visualization, etc., with the ability of data storage and governance, big data mining and analysis, data visualization, system development, etc., capable of working in textile and garment, smart city, security monitoring, They are highly qualified application talents who can engage in data development, data analysis, system architecture and decision support in the fields of textile and garment, smart city, security and surveillance, financial services, e-commerce, media and healthcare.
After graduation, through about 5 years of practice, students of this major are expected to achieve the following objectives.
(1) Possess good ideological and humanistic scientific qualities, and understand and abide by ethics, laws and regulations in engineering practice or technology development.
(2) Possess a broad knowledge of engineering science, engineering technology and engineering environment required for solving complex engineering problems in big data and related fields, and be able to comprehensively apply mathematical and statistical theories and methods, combine computer programming techniques and existing software platforms to realize statistical analysis of massive data and provide decision support based on the analysis results.
(3) be able to refine, analyse and solve key problems encountered during the implementation of engineering projects in this field, and have the ability to independently engage in the innovation and practice of engineering projects in big data and related fields.
(4) have a certain international perspective, good teamwork spirit and the ability to organise, coordinate and communicate, and be able to adapt to different roles in practical work and take up important leadership positions.
(5) Be able to actively adapt to changes in the social environment and technology, and possess the habit of lifelong learning and the ability to learn independently.
二、学制、修业年限、学位 Educational System、Length of Schooling、Academic Degree
基本学制：4年 Basic educational system：4 years
修业年限：3-8年 Length of schooling: 3 to 8 years
学位：工学学士 Academic degree: Bachelor of Engineering
三、学分、学时与课程结构Credit、Studying Hours and Course Structure
毕业学分：169学分
Graduation credits:169 credits
课程结构Course Structure：
课程平台Course Platform |
课程类型Course Type |
学分数Credits |
学时数Studying hours |
学分数分配Academic Score Distribution |
课程类型 学分占比 （%）Percentage of Credits of Course Type |
课程平台 学分占比 （%）Percentage of Credits on the Course Platform |
理论学分Theoretical Credits |
实践学分Practical Credits |
通识教育General Education |
必修Compulsory Courses |
41.5 |
644 |
29.75 |
11.75 |
24.56 |
29.29 |
选修Selective Courses |
8 |
128 |
8 |
0 |
4.73 |
专业教育Professional Education |
必修Compulsory Courses |
52 |
832 |
50 |
2 |
30.77 |
36.69 |
选修Selective Courses |
10 |
160 |
7 |
3 |
5.92 |
应用教育Applied Education |
必修Compulsory Courses |
33.5 |
280 |
0 |
33.5 |
19.82 |
28.69 |
选修Selective Courses |
15 |
480 |
4 |
11 |
8.87 |
双创教育Education of Entrepreneurship and Innovation |
必修Compulsory Courses |
5 |
32 |
2 |
3 |
2.96 |
5.33 |
选修Selective Courses |
4 |
128 |
1 |
3 |
2.37 |
合计Total |
169 |
2684 |
104.75 |
64.25 |
100 |
100 |
占比Proportion（ % ） |
100 |
100 |
61.98 |
38.02 |
100 |
100 |
四、主干学科Main Disciplines
计算机科学与技术、统计学
Computer Science and Technology, Statistics
五、核心课程Core Courses
数据结构、数据库原理及应用、离散数学、Java程序设计、Linux操作系统、数据仓库与数据挖掘、Hadoop大数据技术、Spark大数据处理。
Data Structure, Database Principles and Application, Discrete Mathematics, Java programming, Linux Operating System, Data Warehouse and Data Mining, Hadoop Big Data Technology, Spark Big Data Processing.
六、教学计划表Teaching Schedule
（一）通识教育General Education
课 程 平 台Course Platform |
课 程 类 别Course Type |
课 程 模 块Modular Course |
课程 编号 Course Number |
课程名称 Course Name |
学 分 数Credit |
总 学 时Total Class Hours |
总学时分配Total class hour allocation |
周 学 时Weekly class hour |
开 设 学 期Term |
考 核 方 式Assessment |
备 注Remarks |
理论 学时Total class hour allocation |
实践 学时Practice Hours |
通 识 教 育General Education |
必 修Compulsory Courses |
思想 政治Ideology and Politics |
1090010001 |
思想道德与法治Ideological Morality and Rule of Law |
3 |
48 |
40 |
8 |
3 |
1 |
考试 |
|
1090010002 |
中国近现代史纲要Outline of Modern and Contemporary Chinese History |
3 |
48 |
40 |
8 |
3 |
2 |
考试 |
|
1090010003 |
马克思主义基本原理The Basic Principles of Marxism |
3 |
48 |
40 |
8 |
3 |
3 |
考试 |
|
1090010004 |
毛泽东思想和中国特色社会主义理论体系概论Introduction to Mao Zedong Thought and the Theoretical System of Socialism with Chinese Characteristics |
5 |
80 |
64 |
16 |
5 |
4 |
考试 |
|
1090010005 （01-08） |
形势与政策Situation and Policy |
2 |
32 |
32 |
0 |
- |
1-8 |
考查 |
|
大学 外语University of Foreign Languages |
详见通识教育必修课程大学外语模块课程开设表Ⅰ-2 |
8 |
128 |
128 |
0 |
2 |
1-4 |
考查 |
|
军事 教育Military Education |
1680010001 |
军事训练与入学教育Military Training and Entrance Education |
2W |
- |
- |
- |
- |
1 |
考查 |
|
1680010002 |
军事理论Military Theory |
2 |
36 |
32 |
0 |
2 |
2 |
考查 |
4学时线上授课 |
安全 教育Safety Education |
1680010003 |
国家安全教育National Safety Education |
1 |
16 |
16 |
0 |
1 |
3 |
考查 |
|
大学 体育P.E. |
详见通识教育必修课程体育俱乐部模块课程开设表Ⅰ-4 |
8 |
128 |
16 |
112 |
2 |
1-4 |
考查 |
|
心理 健康Mental Health |
1200010001 |
大学生心理健康教育Mental Health of College Students |
2 |
32 |
32 |
0 |
2 |
2 |
考查 |
|
劳动 教育Labor Education |
1430010001 |
劳动教育理论Labor Education Theory |
0.5 |
16 |
16 |
0 |
- |
4 |
考查 |
线上8学时 线下8学时 |
信息 技术Information Technology |
详见通识教育必修课程信息技术模块课程开设表Ⅰ-5 |
2 |
32 |
20 |
12 |
2 |
2 |
考查 |
|
小计Subtotal |
41.5 |
644 |
484 |
156 |
|
|
|
4 |
选修Selective Courses |
详见通识教育选修课程开设表Ⅱ |
8 |
128 |
128 |
0 |
|
|
考查 |
|
小计Subtotal |
8 |
128 |
128 |
0 |
|
|
|
|
合计Total |
49.5 |
772 |
612 |
156 |
|
|
|
4 |
（二）专业教育Professional Education
课 程 平 台Course Platform |
课 程 类 别Course Type |
课 程 模 块Modular Course |
课程 编号 Course Number |
课程名称 Course Name |
学 分 数Credit |
总 学 时 Total Class Hours |
总学时分配 Total class hour allocation |
周 学 时Weekly class hour |
开 设 学 期Term |
考 核 方 式Assessment |
备 注Remarks |
理论学时Theoretical Class Hours |
实践学时Practice Hours |
专业教育 Professional Education |
必 修Compulsory Courses |
自然科学Natural Science |
1670320002 |
高等数学一Advanced Mathematics 1 |
4 |
64 |
64 |
0 |
4 |
1 |
考查 |
|
1670320003 |
高等数学二Advanced Mathematics 2 |
4 |
64 |
64 |
0 |
4 |
2 |
考试 |
|
1670320004 |
大学物理College Physics |
3 |
48 |
48 |
0 |
3 |
3 |
考查 |
|
1670120003 |
概率论与数理统计Probability Theory and Mathematical Statistics |
3 |
48 |
48 |
0 |
3 |
3 |
考试 |
|
1670320006 |
线性代数Linear Algebra |
3 |
48 |
48 |
0 |
3 |
3 |
考查 |
|
1670120008 |
离散数学Discrete Mathematics |
3 |
48 |
48 |
0 |
3 |
4 |
考试 |
|
1670220021 |
数学建模 Mathematical Modeling |
3 |
48 |
48 |
0 |
3 |
5 |
考查 |
|
1670220022 |
应用统计学Applied Statistics |
3 |
48 |
48 |
0 |
3 |
6 |
考查 |
|
专业基础Professional Foundation |
1670120001 |
程序设计基础Program Design Basis |
2 |
32 |
32 |
0 |
2 |
1 |
考试 |
|
1670320010 |
大数据技术导论An Introduction to Big Data Technology |
2 |
32 |
24 |
8 |
2 |
1 |
考查 |
|
1670120004 |
Python程序设计Python Programming |
2 |
32 |
32 |
0 |
2 |
2 |
考查 |
|
1670120006 |
计算机网络Computer Network |
2 |
32 |
32 |
0 |
2 |
3 |
考试 |
|
1670320007 |
算法分析与设计Algorithm Analysis and Design |
3 |
48 |
40 |
8 |
3 |
4 |
考试 |
|
专业核心Core Class |
1670320005 |
数据库原理及应用Database Principle and Application |
2 |
32 |
32 |
0 |
2 |
1 |
考试 |
|
1670120002 |
数据结构Data Structure |
2 |
32 |
32 |
0 |
2 |
2 |
考试 |
|
1670320011 |
Java程序设计Java Programming |
2 |
32 |
32 |
0 |
2 |
3 |
考试 |
|
1670320012 |
数据仓库与数据挖掘Data Warehouse and Data Mining |
3 |
48 |
32 |
16 |
3 |
5 |
考试 |
|
1670320013 |
Linux操作系统Linux Operating System |
2 |
32 |
32 |
0 |
2 |
4 |
考试 |
|
1670320016 |
Hadoop大数据技术Hadoop Big Data Technology |
2 |
32 |
32 |
0 |
2 |
5 |
考试 |
|
1670320017 |
Spark大数据处理Spark Big Data Processing |
2 |
32 |
32 |
0 |
2 |
6 |
考试 |
|
小计Subtotal |
52 |
832 |
800 |
32 |
|
|
|
|
选 修Selective Courses |
学科专业Discipline Major |
1670320014 |
数据可视化技术Data Visualization Techniques |
2 |
32 |
32 |
0 |
2 |
4 |
考查 |
|
1670320018 |
Web前端开发技术The Web Front-end Development Technology |
3 |
48 |
32 |
16 |
3 |
6 |
考查 |
|
1670320015 |
云计算 Cloud Computing |
3 |
48 |
32 |
16 |
3 |
7 |
考查 |
|
1670320022 |
数据分析Data Analysis |
2 |
32 |
16 |
16 |
2 |
7 |
考查 |
|
1670320019 |
智能搜索引擎技术Intelligent Search Engine Technology |
2 |
32 |
16 |
16 |
2 |
5 |
考查 |
|
1670320020 |
NOSQL数据库技术NOSQL Database Technology |
2 |
32 |
16 |
16 |
2 |
6 |
考查 |
|
1670320023 |
人工智能导论Introduction to Artificial Intelligence |
3 |
48 |
32 |
16 |
3 |
6 |
考查 |
|
1670320024 |
信息与网络安全Information and Network Security |
3 |
48 |
24 |
24 |
3 |
6 |
考查 |
|
1670320025 |
智能推荐技术与应用Intelligent Recommendation Technology and Application |
2 |
32 |
24 |
8 |
2 |
6 |
考查 |
|
1670320026 |
智能决策支持系统Intelligent Decision Support System |
3 |
48 |
24 |
24 |
3 |
6 |
考查 |
|
1670220020 |
服装企业管理Clothing Enterprise Management |
2 |
32 |
32 |
0 |
2 |
6 |
考查 |
|
1670320027 |
自然语言处理Natural Language Processing |
2 |
32 |
24 |
8 |
2 |
6 |
考查 |
|
1670320028 |
统计计算Statistical Calculation |
2 |
32 |
16 |
16 |
2 |
6 |
考查 |
|
1670320029 |
机器学习Machine Learning |
3 |
48 |
32 |
16 |
3 |
6 |
考查 |
|
1670320030 |
计算机视觉Computer Vision |
2 |
32 |
16 |
16 |
2 |
6 |
考查 |
|
1670320031 |
工程经济学Engineering Economy |
2 |
32 |
32 |
0 |
2 |
7 |
考查 |
|
1670320032 |
深度学习Deep Learning |
3 |
48 |
32 |
16 |
3 |
7 |
考查 |
|
小计Subtotal（应修10学分10 Credits to be Required） |
10 |
160 |
112 |
48 |
|
|
|
|
合 计Total |
62 |
992 |
912 |
80 |
|
|
|
|
（三）应用教育Applied Education
课 程 平 台Course Platform |
课 程 类 别Course category |
课 程 模 块 Modular Course |
课程 编号 Course Number |
课程名称 Course Name |
学分数 /周数(W)Credit/week |
总 学 时Total Class Hours |
总学时分配 Total class hour allocation |
开 设 学 期Term |
考 核 方 式Assessment |
备 注Remarks |
理论学时Theoretical Class Hours |
实践学时Practice Hours |
应用教育Applied Education |
必修Compulsory Courses |
实验实训课程Experimental Training Course |
1670130001 |
程序设计实验Program Design Experiment |
1 |
32 |
0 |
32 |
1 |
考查 |
|
1670130002 |
数据结构实验Data Structure Experiment |
1 |
32 |
0 |
32 |
2 |
考查 |
|
1670130005 |
数据库设计实验Database Design Experiment |
1 |
32 |
0 |
32 |
1 |
考查 |
|
1670130004 |
Python程序设计实验Python Programming Experiments |
1 |
32 |
0 |
32 |
2 |
考查 |
|
1670130006 |
计算机网络实验Computer Network Experiment |
1 |
32 |
0 |
32 |
3 |
考查 |
|
1670330013 |
Linux操作系统实验Linux OS Experiments |
1 |
32 |
0 |
32 |
4 |
考查 |
|
1670330016 |
Hadoop大数据技术实验Hadoop Big Data Technology Experiment |
1 |
32 |
0 |
32 |
5 |
考查 |
|
1670330017 |
Spark大数据处理实验Spark Big Data Processing Experiment |
1 |
32 |
0 |
32 |
6 |
考查 |
|
课程设计/论文Course Design/Thesis |
1670330011 |
Java程序设计课程设计Java Programming Course Design |
1W |
- |
- |
- |
3 |
考查 |
|
1670330014 |
数据可视化技术课程设计Course Design of Data Visualization Technology |
1W |
- |
- |
- |
4 |
考查 |
|
劳动教育Labor Education |
1430010119 |
劳动教育实践Labor Education Practice |
1.5 |
24 |
0 |
24 |
1-7 |
考查 |
|
实习项目 Internship Program |
1670330023 |
认知实习Cognitive Practice |
1W |
- |
- |
- |
2 |
考查 |
|
1670330024 |
专业实习（一）Professional Internship (I) |
1W |
- |
- |
- |
4 |
考查 |
|
1670330025 |
专业实习（二）Professional Internship (2) |
2W |
- |
- |
- |
6 |
考查 |
|
1670330026 |
毕业实习 Graduation Field Work |
8W |
- |
- |
- |
8 |
考查 |
|
毕业设计/论文Graduation Design / Thesis |
1670330027 |
毕业设计/论文Graduation Design / Thesis |
10W |
- |
- |
- |
8 |
考查 |
|
小计Subtotal |
33.5 |
280 |
0 |
280 |
|
|
|
选修Selective Courses |
产教融合项目 （一）Industry Education Integration Project 1 |
1670330019 |
服装数据挖掘项目Clothing Data Mining Project |
7.5 |
240 |
64 |
176 |
5-6 |
考查 |
三选二修满15学分 |
产教融合项目（二）Industry Education Integration Project 2 |
1670330020 |
大数据决策支持Clothing Big Data Application Points |
7.5 |
240 |
64 |
176 |
5-6 |
考查 |
产教融合项目（三）Industry Education Integration Project 3 |
1670330021 |
服装大数据应用分析Clothing Big Data Application Points |
7.5 |
240 |
64 |
176 |
5-6 |
考查 |
小计（应修15学分）Subtotal(15 Credits to be Required) |
15 |
480 |
128 |
352 |
|
|
|
合计Total |
48.5 |
760 |
128 |
632 |
|
|
|
（四）双创教育Education of Entrepreneurship and Innovation
课 程 平 台Course Platform |
课 程 类 别Course category |
课 程 模 块Modular Course |
课程 编号 Course Number |
课程名称 Course Name |
学分数 /周数(W)Credit/week |
总 学 时Credit/week |
总学时分配 Total class hour allocation |
开 设 学 期Practice Hours |
考 核 方 式Assessment |
备 注Remarks |
理论学时Theoretical Class Hours |
实践学时Practice Hours |
双创教育Education of Entrepreneurship and Innovation |
必修Compulsory Courses |
创新创 业理论Innovation and Entrepreneur ship Theory |
1710040004 |
职业生涯规划Career Planning |
0.5 |
8 |
8 |
0 |
1 |
考查 |
|
1710040005 |
创新创业基础Innovation and Entrepreneur Ship Foundation |
1 |
16 |
16 |
0 |
4 |
考查 |
|
1710040006 |
创业就业指导Entrepreneurship and Employment Guidance |
0.5 |
8 |
8 |
0 |
7 |
考查 |
|
第二课 堂项目Lesson Two Hall Project |
1450010001 |
创新创业创优Innovation and Entrepreneur ship |
1 |
- |
- |
- |
1-7 |
考查 |
累计修满3学分 |
课外科技活动Extracurricular Scientific and Technological Activities |
1 |
- |
- |
- |
1-7 |
考查 |
团学工作履历Youth League Student Resume |
1 |
- |
- |
- |
1-7 |
考查 |
社会实践Social Practice |
1 |
- |
- |
- |
1-7 |
考查 |
志愿服务活动Volunteer Service Activities |
1 |
- |
- |
- |
1-7 |
考查 |
特色发展项目Special Development Projects |
1 |
- |
- |
- |
1-7 |
考查 |
小计Subtotal |
5 |
32 |
32 |
0 |
|
|
|
选修Selective Courses |
创新创 业项目 （一）Innovation and Entrepreneur ship Project 1 |
1710040001 |
科研赛事项目Discipline Competition |
4 |
- |
- |
- |
1-7 |
考查 |
四选一修满4学分 |
创新创 业项目 （二）Innovation and Entrepreneur ship Project 2 |
1710040002 |
SYB+实操项目SYB+Practical Operation Project |
4 |
- |
- |
- |
7 |
考查 |
创新创 业项目 （三）Innovation and Entrepreneur ship Project 3 |
1710040003 |
真实创业项目Real Entrepreneurial Projects |
4 |
- |
- |
- |
7 |
考查 |
专业拓展项目Professional Development Project |
1670240001 |
数据结构与算法分析综合应用Comprehensive Application of Data Structure and Algorithm Analysis |
4 |
128 |
32 |
96 |
7 |
考查 |
小计Subtotal |
4 |
128 |
32 |
96 |
|
|
|
合计Total |
9 |
160 |
64 |
96 |
|
|
|
