Data Science and Big Data Technology (Degree of Science), taking Peking University as an example, the main courses are: probability theory, mathematical statistics, applied multivariate statistical analysis, real variable function, applied regression analysis, Bayesian theory and algorithm.

Applied time series analysis, statistical calculation, statistical machine learning, programming practice, data structure and algorithm, distributed and parallel calculation, algorithm design and analysis, introduction to database, introduction to natural language processing, numerical and calculation methods, artificial intelligence, optimization methods, deep learning, etc.

Data Science and Big Data Technology (engineering degree), taking China Renmin University as an example, is jointly taught by School of Statistics, School of Information, Institute of Statistics and Big Data, and Institute of Mathematical Science, in order to cultivate professional data science talents and meet the opportunities and challenges brought by the era of big data.

The main courses are: mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, data structure, introduction to data science, introduction to programming, programming practice, discrete mathematics, probability statistics, algorithm analysis and design, data computing intelligence, introduction to database system.

Computer system foundation, parallel architecture and programming, unstructured big data analysis, introduction to data science algorithms, data science topics, data science practice, practical Internet development technology, sampling technology, statistical learning, regression analysis, stochastic process.

Above content reference: Zhihu