I. Training Objectives
The Data Science and Big Data Technology major aims to cultivate high-quality application-oriented professionals that cater to the international competitive environment and meet the needs of informatisation construction. Graduates should have all-round moral, intellectual, and physical development, with a solid grasp of data science theory and professional knowledge, good scientific literacy and innovation awareness, and strong practical engineering and collaboration abilities. They should be equipped with multi-disciplinary knowledge of computers, mathematics, and statistics. They should be proficient in the collection, cleaning, storage, processing, analysis, visualisation, and application of big data, and have the ability to use big data to analyse complex engineering problems, learn independently, and innovate.
II. Training Standards
- Years of study: Two years of schooling for this major, eight years of part-time study, minimum length of study two and a half years.
- Learning format: open education
- Total class hours and credits: 1,296 class hours, 72 credits
- Required knowledge, abilities, and quality:
Students should be dedicated to their work, be hardworking, always seek the truth, observe relevant disciplines and laws, demonstrate unity and cooperation; and have good moral cultivation and social and professional ethics.
Graduates should master mainstream big data technology and understand its characteristics and usage scenarios. They should have data preprocessing capabilities, big data system architecture capabilities, and be able to carry out simple big data application development. They should have mastered the basic big data theories and technologies and be able to use the knowledge learned to solve practical problems, process, analyse, and visualise big data, and manage big data systems. They should have mastered basic big data research methods, have good scientific literacy, and have the preliminary ability to use knowledge, methods, and technologies to solve practical problems in interdisciplinary subjects.
III. Main courses
Basic Computer Applications (for undergraduates), Discrete Mathematics (for undergraduates), Introduction to Big Data Technology, Python Programming, Data Structure and Algorithms, Big Data Preprocessing, Database Application, Big Data Analysis and Mining Technology, Data Visualisation Technology.
IV. Graduation
The minimum number of credits required to graduate from this major is 72. Graduates who obtain the required number of credits and meet the moral education requirements will be awarded a nationally-recognised undergraduate graduation certificate of higher education.