BSc in Data Science and Big Data Technology
Major Required Courses
- Introduction to Data Science and Analytics
- Probability and Statistics
- Machine Learning
- Deep Learning
- Database Management Systems
- Design and Analysis of Algorithms
- Data Science Project
- Mathematics for Data Science
- Final Year Capstone Project
Program Learning Outcomes
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01Explain data problems arising in different areas of science, technology, and the society. (Knowledge)
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02Model the problem with learned mathematics theories and models. (Execution)
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03Apply different mathematical tools to model data problems in application areas. (Execution)
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04Design and implement efficient algorithms to model the data and solve the problem. (Execution)
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05Evaluate information and make independent judgements through constructing and inferencing with appropriate data models. (Judgement)
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06Communicate effectively about data science to both laymen and experts. (Communication)
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07Demonstrate self-direction in tackling and solving problems and act autonomously in planning and implementing tasks. (Autonomy)
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08Use a global perspective in conjunction with data analytic techniques to address issues of importance in science, technology, and the society. (International outlook)
BSC
General Information
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Program Structure
120 credits are required for BSc in Data Science and Big Data Technology:
♦ 30 credits for University Common Core Courses
♦ 90 credit for Major Requirements, including:
o 28 credits for Fundamental Courses
o 33 credits for Major Required Courses
o 24 credits for Major Electives Courses
o Free Electives Courses can be used to fill in any shortfall in total credits
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Job Prospect
With the rapid development of big data industries, talents in data science are in urgent need in the worldly market, and students in this program will have a wider range of employment opportunities. In the future, graduates of this program can pursue their academic interest, engage in scientific research, or become the important force in digital transformation and digital innovation in different industries.
