JSSU70 - 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.
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. 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
Programming: SAS, Python, R
Machine Learning/Artificial Intelligence: SAS Enterprise Miner, Keras (deep neural network), RapidMiner
English Language Enhancement Course II (Presentation)
GEN
General Education Course I
GEN
General Education Course II
Year 2 Curriculum
Core
STAT S263F
Big Data Analytics and Applications
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
Advanced Programming and AI Algorithms
STAT S311F
Time Series Analysis and Forecasting
COMP S320F
Database Management
COMP S350F
Software Engineering
COMP S351F
Software Project Management
COMP S492F
Machine Learning
Year 4 Curriculum
Core
STAT S461F
Data Science Project (whole year)
COMP S460F
Advanced Topics in Data Mining
COMP S321F
Advanced Database and Data Warehousing
COMP S493F
Deep Learning
COMP S381F
Server-side Technologies and Cloud Computing
Elective (2 courses)
ELEC S425F
Computer and Network Security
COMP S413F
Application Design and Development for Mobile Devices
The programme requirements & the courses on offer are subject to amendment
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The Computing Programme Team, School of Science and Technology, The Open University of Hong Kong, Homantin, Kowloon, HK
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