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Introduction of School of Big Data

发布者:Wuzheng [发表时间]:2022-12-10 [来源]: [浏览次数]:


School of Big Data

大数据学院是江西服装学院响应国家战略,顺应时代潮流而设立。学院的发展定位为:中高端人才培养、学科交叉融合、行业特色明显。学院现开设有数据科学与大数据技术、物联网工程、软件工程三个本科专业以及物联网应用技术专科专业。学院致力于大数据相关领域的科学研究、人才培养和产业创新:紧密结合国家战略及江西新兴产业需求,着力打造以数据生产、采集、存储、加工、分析、服务为主的大数据产业专业群,以数据科学与大数据技术专业为龙头,以物联网工程和软件工程专业为两翼的专业布局,努力培养具有大数据思维和创新能力的高素质应用技术型人才。

The School of Big Data was established by Jiangxi Institute of Fashion in response to the national strategy and in line with the trend of the times. The development orientation of the college is: medium and high-end talent training, cross-fertilization of disciplines and obvious industry characteristics. The College now offers three undergraduate majors in Data Science and Big Data Technology, Internet of Things Engineering and Software Engineering, as well as one junior college major in Internet of Things Application Technology. The college is committed to scientific research, talent training and industrial innovation in the field of big data: it is closely integrated with national strategies and the needs of emerging industries in Jiangxi, and focuses on building a professional group of big data industry with data production, collection, storage, processing, analysis and service as the main focus, taking the major of data science and big data technology as the leader and the major of Internet of Things engineering and software engineering as the two wings of the professional layout, and strives to cultivate highly qualified professionals with big data The major in data science and big data technology, with Internet of Things engineering and software engineering as the two wings, will strive to cultivate high-quality applied technical talents with big data thinking and innovation ability.

一、就业前景 Employment Prospects

学院紧贴市场需求,培养适应新工科发展的大数据产业人才。毕业生就业方向岗位群:在企业IT部门或IT企业从事软件设计、开发等岗位;在各行各业从事数据生产、采集、存储、加工、分析、服务等岗位;在IT企业从事大数据产品软件开发、UI设计、测试、维护、销售等岗位;在IT企业从事大数据联网系统规划、设计、实施以及运维等岗位;在各级教育及培训机构从事信息资源建设、智慧教育、管理信息系统维护等岗位。

The College closely follows the market demand and cultivates big data industry talents who adapt to the development of new engineering. Graduates' employment direction job groups: in enterprise IT departments or IT enterprises engaged in software design, development and other positions; in various industries engaged in data production, collection, storage, processing, analysis, service and other positions; in IT enterprises engaged in big data product software development, UI design, testing, maintenance, sales and other positions; in IT enterprises engaged in big data networking system planning, design, implementation and operation and maintenance and other positions. In education and training institutions at all levels, they are engaged in the construction of information resources, intelligent education, maintenance of management information systems and other positions.

二、培养模式 Cultivation Mode

学院全面贯彻党的教育方针,坚持办人民满意教育,坚持以立德树人为根本任务,坚持能力本位,不断探索新工科的办学规律,实行“三标对接、三维并重、学用结合、协同育人”的人才培养模式。学院不断推进教学模式、课程体系、教学内容、教学手段、教学方法等方面的改革与创新,以素质能力培养为中心,实行阶梯式、模块化课程体系,按照“教、学、做、创”四位一体的要求,逐步凝炼专业特色,构筑完善的教学质量保障体系,着力培养品行端正、身心健康、基础扎实、能力过硬,德智体美劳全面发展,具有创新精神的高素质应用技术型人才。

The College comprehensively implements the Party's education policy, adheres to the education that satisfies the people, insists on the fundamental task of establishing moral education, adheres to the competence-based approach, continuously explores the laws of running a new engineering discipline, and implements the talent training model of "three standards dovetailing, three-dimensional, combined learning and application, and collaborative education". The College is constantly promoting reform and innovation in the teaching mode, curriculum system, teaching content, teaching means and teaching methods, focusing on quality competence training, implementing a ladder-style, modular curriculum system, gradually refining professional characteristics in accordance with the four-in-one requirement of "teaching, learning, doing and creating", and constructing a perfect teaching quality assurance system In addition, we will focus on cultivating high quality applied technical talents with good conduct, physical and mental health, solid foundation, excellent ability, comprehensive development of moral, intellectual, physical, aesthetic and creative spirit.

三、教学条件 Teaching Conditions

学院现有完善的教学设施及雄厚的师资力量,目前现有大数据(筹)、物联网工程、软件工程、信息技术等四个校内实验实训室。学院分别与华为科技有限公司、合肥宝德网络技术有限公司江西分公司、深圳销邦数据技术有限公司等建立了校外实习实训基地。实践教学形式多样,实验设备设施充足。另外,学院拥有一支师德高尚、严于律己、求实创新的师资队伍,有江西省普通本科高校首届金牌教授、江西省中青年骨干教师,有教学经验丰富的教授、又有实战经验丰富的双师型教师,也有积极进取的青年教师。学院遵循“引进与培养并举”的方针,加强青年教师队伍建设,选聘优秀人才,选送骨干教师到企业和其他院校培训提高,形成了一支稳定、结构合理的师资队伍。

The College has perfect teaching facilities and strong teaching staff. At present, there are four on-campus experimental training rooms, including Big Data (preparation), Internet of Things Engineering, Software Engineering and Information Technology. The college has established off-campus practice and training bases with Huawei Technology Co., LTD., Jiangxi Branch of Hefei Bade Network Technology Co., LTD., and Shenzhen Xiaobang Data Technology Co., LTD. There are various forms of practical teaching and sufficient experimental equipment and facilities. In addition, the College has a team of teachers with high moral character, strict discipline and innovation, including the first gold medal professors of Jiangxi undergraduate universities, young and middle-aged key teachers of Jiangxi Province, professors with rich teaching experience, dual-teacher teachers with rich practical experience, as well as active and enterprising young teachers. The college follows the policy of "introducing and training at the same time", strengthens the construction of young teachers, selects and hires outstanding talents, and sends key teachers to enterprises and other institutions for training and improvement, forming a stable and reasonably structured teaching team.


Talent Training Program of Undergraduate Students of Data Science and Big Data Technology


Talent Training Program of Undergraduate Students of Internet of Things Engineering


Talent Training Program of Undergraduate Students of Software Engineering