Ⅰ. Professional overview
This major is jointly constructed by Guangdong Baiyun University and Shuguang Information Industry Co., Ltd. The training of professional talents relies on the "Hundred Schools Project" of the Ministry of Education and the "Shuguang Big Data College", one of the first demonstration industrial colleges in Guangdong Province. The school and enterprise jointly develop a professional talent training plan, carry out course teaching, and implement practical teaching and characteristic teaching services. This major is one of the first characteristic majors of deep cooperation between schools and enterprises in Guangdong Province, as well as the new engineering construction major in Guangdong Province.
This major combines cutting-edge technologies such as computer technology, big data analysis, data mining and processing, mobile development and architecture, software development, and cloud computing, and introduces enterprise real project drills. With the strong faculty of the Industrial College, it aims to cultivate specialized talents who can engage in the analysis, development, and application of big data engineering projects, such as system integration, big data application system analysis, data mining, data storage, and data visualization. At the same time, it cultivates high-level, practical, and international big data composite talents with innovative thinking and skills.
Ⅱ. Cultivation objectives
Cultivate the all-round development of morality, intelligence, physique, beauty and labor, With a sense of family, country, healthy personality, international vision, craftsman spirit and innovation ability, Master the basic theory and professional skills of data science and big data technology major, With certain big data application technology, distributed computing and storage, data import and cleaning, data analysis and mining, data visualization ability and good comprehensive quality, Proficient in the complete data processing process, With a strong ability of data analysis, data processing and big data industry application, They can work in big data system research and development engineers, big data analysts and other positions in finance, logistics, transportation, smart city and other fields.
Ⅲ. Knowledge and ability
1. Engineering knowledge and ability: to be able to apply the basic knowledge and professional knowledge of higher mathematics, natural science, data science and big data technology to solve practical engineering problems in the field of big data.
2. Problem analysis ability: to solve data science and big data technology requires the actual engineering problems of professional knowledge, with scientific identification of complex engineering project problems and refining and expression, definition, technical analysis and testing and operational management ability, to obtain the deep understanding of practical engineering problems and solve the problem of complex engineering projects.
3. Design/Development Solution Capability: comprehensive understanding of information system needs, can design big data development and big data analysis in the field of engineering solutions, design and development to meet the specific needs of the system, including software, data and image processing, and can reflect in the design of new information technology, big data + innovation consciousness.
4. Research capability: Be able to study complex engineering problems based on the principles of data science, including demand analysis, system design, programming implementation, testing and maintenance, and obtain reasonable and effective conclusions through data collection, design model, information mining and comprehensive analysis.
5. Ability to use modern tools: Able to select and use appropriate programming languages, development platforms, development tools, and various auxiliary quality assurance and modeling tools to solve complex engineering problems in the fields of data science and big data technology, and understand their limitations, as well as the cutting-edge theories, development status, and trends in the field of data science.
6. Engineering and social competence: Be able to conduct reasonable analysis based on engineering related background knowledge, evaluate the impact of professional engineering practice and big data complex engineering problem solutions on society, health, safety, legal and culture, and understand the responsibilities.
7. Environmental and sustainable development ability: in the solution of data science and big data technology actual engineering problems at the same time, to consider safety and health, economic, environment, culture, social constraints, abide by the laws and regulations and relevant standards, and can understand and evaluate the actual engineering practice on the environment and social sustainable development.
8.Professional quality and ability: with humanities and social science literacy, social responsibility, able to understand and abide by the professional ethics and norms of the software industry in engineering practice, and fulfill responsibilities.
9. Personal and team ability: able to assume the roles of individual, team members and principals in a project team in a multi-disciplinary background, with good teamwork spirit.
10. Communication skills: Ability to communicate effectively with others and society in complex project engineering activities in the field of data science and big data technology, including the ability to understand and write effective project reports and design documents and make effective statements; ability to have a certain international vision and cross-cultural communication.
11. Project management ability: to understand and master the basic knowledge and methods of management and economic decision-making of complex project engineering, and it can be applied in engineering practice.
12. Lifelong learning ability: have the consciousness of independent learning and lifelong learning, with the ability to constantly learn and adapt to the rapid development of computer technology.
Ⅳ. Professional characteristics of data Science and Big data Technology (school-enterprise joint training)
This major connects with the industry of the Greater Bay Area. According to the OBE concept of "student center, output-oriented and continuous improvement", it builds the talent training program and curriculum system according to the industrial needs, and conducts collaborative training between government, schools and enterprises.
1. Educational concept
This major adhere to the "student as the center, output orientation, continuous improvement" concept, to the international engineering education professional certification (OBE) as the standard, in strict accordance with the industry technology and element design requirements, defined by industry talent evaluation standard training standards and quality, emphasizes the combination of theory and practice, teaching fusion of enterprise campus activities.
2. Cultivation mode
This major is to carry out the training mode of "six co-construction" of school-enterprise dual subjects with Zhongke Shuguang, and establish the school-enterprise cooperation management Committee and the professional steering Committee, to jointly carry out the teaching of big data professional courses and jointly train big data professionals. We will implement the "3 + 1" model, strengthen practical teaching in enterprises, and open up the "last kilometer" channel for schools and enterprises.
3. Way of talent training
The process of talent training adopts the vertical integrated project (VIP) teaching and training system, follows the growth law of engineering talents, and cultivates applied innovative talents with the ability to solve complex engineering problems. Schools and enterprises jointly build an environment for the growth of industry talents, build a practice platform inside and outside the school, introduce real cases of enterprises, and carry out practical education.
Ⅴ. Teaching conditions
We have established computer foundation laboratory, computer software laboratory, computer graphic design laboratory, big data application collaborative innovation center and other laboratories, with a total area of 1000 square meters, more than 300 computers, and Dawn big data integration server, with a total equipment value of 14 million yuan.
The Big Data Application Collaborative Innovation Center is a "Industry Education Integration, Data China, and Hundred Schools Project" innovation base jointly built by Guangdong Baiyun University and Zhongke Shuguang with an investment of 10 million yuan, and planned and developed by the School Planning and Construction Development Center of the Ministry of Education, Zhongke Shuguang, and Guangdong Baiyun University.
The big data application collaborative innovation center server integrates teaching, scientific research, and social services. The server adopts a hardware integrated structure, and the system capacity reaches 600TB. The server builds an Infinity 9000 big data ecosystem, integrating 13 teaching and application related big data technology service systems, including Edu teaching experimental system, Lsn course management system, Insight big data intelligent analysis platform, Mining data mining platform, Xdata big data ecological analysis management platform, big data application development platform, and industry big data practical system. This server has been connected to the practical teaching center of Boya Building, providing classroom teaching support for students, and can carry out talent cultivation, course teaching, big data industry application analysis, big data server application, etc. in data science and big data technology majors, realizing the functions of talent cultivation, teaching and research, and social services.
Ⅵ. Employment prospects
In the government work report, the country has repeatedly mentioned keywords such as big data and artificial intelligence. This is the fifth time that big data and the second time that artificial intelligence has been written in the government work report. Big data and artificial intelligence have both been promoted as national strategies and international strategies.
The State Information Center has conducted a comprehensive analysis of the development of big data in China. The report clearly points out that the job characteristics of the talent demand in the big data industry are according to the top three categories of demand: analysis, RESEARCH and development and management positions. The three categories of positions account for 88.61% of the talent demand in the whole big data industry. At the same time, it is clearly pointed out that talents with a bachelor's degree are currently the absolute main force of the big data industry.
The major of Data Science and Big Data Technology is committed to cultivating professional and technical personnel for analytical engineers, algorithm engineers and development engineers in the field of big data and artificial intelligence. At the same time, to cultivate students to have good self-learning ability, and provide a platform and channel for lifelong learning, to help graduates grow into senior engineers in this field through 3-5 years, and gradually develop towards the direction of data scientists and architecture engineers.
The graduates of this major are mainly engaged in Guangdong Province and the Guangdong-Hong Kong-Macao Greater Bay Area, and they are engaged in big data system research and development engineers, big data application and development engineers, big data analysts, data visualization engineers, and big data operation and maintenance engineers as typical big data industry positions.
Ⅶ. Teachers
This major has a combination of full-time, engineering practice ability, with a certain international vision of teachers. At present, there are 22 professional teachers, including 21 master teachers, 3 senior titles, 3 associate senior titles, 13 intermediate titles, 15 double-qualified teachers and 1 excellent teacher in Southern Guangdong. There are 4 enterprise teachers.82% of the professional teachers have enterprise working experience and practical project research and development experience. Teachers have in-depth research in frontier fields such as big data, artificial intelligence and Internet of Things. In recent years, he has presided over 1 key research platform of Guangdong Province, hosted and participated in 15 provincial research projects and 18 university-level research projects; published 22 academic papers; 5 invention patents, 10 utility model patents and 60 software Copyrights. Guided students to win more than 40 awards in national and provincial competitions.
