1. Training goals

This major cultivates those who meet the needs of social development, who are fully developed in moral, intellectual and physical, and master the basic knowledge, theories, and techniques of data science, including basic knowledge of mathematics, statistics, and computers for big data applications, data modeling, and efficient analysis And processing, the basic theories, basic methods and basic skills of statistical inference. Have a good understanding of big data in the applied fields of natural sciences and social sciences, have strong professional ability and good foreign language ability, and can be qualified for data analysis and mining algorithm research and big data system development.

2. Training specifications and requirements：

It mainly includes the specific requirements that students should meet in terms of knowledge, ability, and quality.

Knowledge requirements:

1). Master the basic theories of Marxism-Leninism, Mao Zedong Thought and the theoretical system of socialism with Chinese characteristics;

2). Master relevant knowledge of mathematics and foreign languages necessary for this major;

3). Have relatively solid basic computer theory and technology, and common algorithms for data mining;

4). Master the most widely used data mining programming language python;

5). Master R language programming technology;

6). Master mainstream Hadoop processing technologies, including MapReduce, Hive, Hbase, etc.

Skill requirements:

1). Have a deep understanding of big data infrastructure and platforms;

2). Familiar with Hadoop cluster construction, able to deploy and configure accordingly;

3). Familiar with SQL calculation and storage process tuning, and have rigorous logical analysis capabilities;

4). Strong logical thinking ability, strong document writing and good communication skills;

5). Have the ability to process, extract, clean and convert data;

6). Have the ability to learn independently and acquire new knowledge, be trained in good scientific thinking and scientific experiments, and have strong practical and engineering skills.

Quality requirements:

1). Basic qualities:

Political quality: high ideological and political quality and moral quality; strong awareness of the rule of law, integrity and industry policies and regulations.

Ideological and moral: good professional ethics, professionalism, strict self-discipline and perseverance.

Humanistic literacy: higher humanistic quality and humanistic caring spirit. Have; good writing ability.

Physical and mental quality: a sound personality, strong social adaptability and innovation ability, and a healthy body, with the ability to withstand external pressure.

2). Professional quality

Engineering awareness: Have the engineering capabilities required by the industry, as well as the awareness of systematization, standardization and modularization.

Quality awareness: Have quality awareness and product competition awareness.

Team spirit: Have team spirit, collaborative work ability, organization and management ability.

Innovative spirit: Have the spirit of innovation and entrepreneurship necessary to engage in technology and service work, and the spirit of developing new technologies and new projects.

3. Main subjects and main courses

Main disciplines: computer science and technology, data science, big data

Main courses: JAVA programming, Hadoop big data development technology, database principles and applications, operating systems, computer networks, software engineering, data mining and machine learning, algorithm design and analysis (Python), big data storage technology, Spark big data technology And Python data analysis and application.

4. Main practical teaching links

Practical teaching links: including professional internships, practical training, social surveys, military training, professional concentrated practical training, graduation thesis (design), etc. Practical teaching links are calculated according to the teaching week and are not included in the total class hours.

5. Educational System and Degree

Educational system: Four years

 Degree: Bachelor degree of Science

6. Grduation criteria

1). Meet the knowledge, ability and quality requirements required by the profession.

2). Complete all the teaching links specified in the training program, with a total credit score of not less than 179.

3). Obtain no less than 6 credits of innovation and entrepreneurship education.