Curriculum
JSSU70 Programme Structure - BSc(Hons) in Data Science & Artificial Intelligence (BSCHDSAIJ1) 數據科學及人工智能榮譽理學士, offered in 2020-2021 cohort
More and more information are available in the digital society nowadays and new generations should be able to comprehend and utilize them to solve practical problems. Our curriculum does not focus on teaching ‘abstract’ theories but emphasizing in enabling the student’s capability to deliver a complete package of solution to practical problems. To achieve this goal, the program aims to equip our graduates with four main competitive edges.- Domain knowledge (e.g. Underlying rationale to determine personal expenditure pattern; Decision-making of an economy as a whole; Concerns in mobile computing, information security and network security)
- Microeconomics & Macroeconomics
- Information security
- Mobile computing
- Network security
- Adequate hand-on IT skills for solution developments
- Visualization: Microsoft Power BI, Google Data Studio, Excel
- Programing: SAS, Python, R, Matlab, JAVA
- Machine Learning/Artificial Intelligence: SAS Enterprise Miner, Keras (deep neural network), SPSS, RapidMiner
- Database: Oracle, MangoDB, SQL, noSQL
- Distributed system: IBM cloud computing service
- Statistics and Analytics knowledge
- Probability and Expectation
- Hypothesis testing
- Time series analysis
- Regression
- Effective presentation skills (Writing/Speaking/Visualization)
- Tailored English writing and presentation skills
- Effective use of visualization tools
Year 1 Curriculum
Core | STAT S261F | Data Science Fundamentals with Applications |
COMP S208F | Introduction to Computer Programming | |
STAT S151F | Probability and Distribution | |
MATH S141F | Algebra and Calculus | |
Elective | ENG | English Language Enhancement Course I (Writing) |
ENG | English Language Enhancement Course II (Presentation) | |
GEN | General Education Course I | |
GEN | General Education Course II |
Year 2 Curriculum
Core | STAT S263F | Big Data in Organization |
STAT S251F | Statistical Data Analysis | |
COMP S209F | Data Structures, Algorithms and Problem Solving | |
COMP S203F | Intermediate Java Programming and User Interface Design | |
COMP S202F | Java Programming Fundamentals | |
MATH S262F | Linear Algebra | |
Elective | GEN | General Education Course I |
GEN | General Education Course II |
Year 3 Entry: BSc(Hons) in Data Science & Artificial Intelligence (BSCHDSAIJ3) 數據科學及人工智能榮譽理學士
Year 3 Curriculum
Core | COMP S382F | Data Mining and Analytics |
STAT S366F | SAS Programming | |
COMP S333F | Artificial Intelligence Algorithms | |
STAT S311F | Time Series Analysis | |
COMP S320F | Database Management | |
COMP S350F | Software Engineering | |
COMP S351F | Software Project Management |
Year 4 Curriculum
Core | STAT S461F | Data Science Project (whole year) |
STAT S460F | Advanced Topics in Data Mining | |
COMP S492F | Machine Learning | |
COMP S493F | Deep Learning | |
COMP S381F | Server-side Technologies and Cloud Computing | |
COMP S321F | Advanced Database and Data Warehousing | |
Elective (2 courses) | ELEC S425F | Computer and Network Security |
COMP S413F | Game Development on Mobile Devices | |
COMP S380F | Web Applications: Design and Development | |
SCI S330F | Scientific Research Methods | |
ECON A231F | Introduction to Microeconomics | |
ECON A332F | Applied Business Economics |