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
Data science and AI are interdisciplinary as they draw on various disciplines, such as Mathematics, Statistics and Computer Science. Machine Learning is the core of data science and AI. It employs computer algorithms to interpret data and learn from the results for decision making and forecasting. Data science and AI can push forward business development, optimize business and operations, and create more attractive operating models. Data sources may come from tables, relational databases, texts, videos, audios, images, etc. Data scientists / AI specialists use data science methods, deep learning, machine learning and AI to discover clients, products, services, operations and market insights.

Graduates will be ready for entry-level roles of data scientists, AI specialist, data engineers, and data analysts in commercial firms and public institutions.

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