Data Science and Big Data Technology

(Four years, Undergraduate, Bachelor of Engineering)

Objectives

The Program of Data Science and Big Data Technology adheres to the school's direction, market demand and employment orientation education, in order to cultivate students' scientific computing ability, data analysis, processing and application ability, practical and innovative ability. Graduates should be healthy in character, have a scientific humanistic spirit, innovative and entrepreneurial spirit and good professional ethics; they should have the ability to learn independently and to think computationally. Graduates will master the basic theories and fundamental knowledge required for big data science and technology, and master the core technologies and basic skills in the field of big data technology. This program cultivates high quality application-oriented engineering and technical talents who can serve in the field of big data application and be competent in big data engineering development, big data analysis and processing, management and maintenance of big data systems.

Core Courses

Probability Theory and Mathematical Statistics, Foundations of Statistics, Fundamentals of Programming, Data Structures and Algorithms, Introduction to Database Systems, Algorithm Design and Analysis, Machine Learning, Distributed Computing, Cloud Computing and Data Centers, Integrated Design for Intelligent Analysis of Massive Data, Integrated Design for Open Source Software Development for Big Data.

Study Plan

Data Science and Big Data Technology-2020

Data Science and Big Data Technology-2021

Data Science and Big Data Technology-2022

16. 2023 Data Science and Big Data Technology.pdf