BSc (Hons) in Data Science & Artificial Intelligence is the 5th curriculum update of the “BSc (Hons) in Statistical Analysis” program which is launched in 2012. The School of S&T has a good practice of regular inspection of the program curriculum to ensure the offered programs meet the market needs. It is no doubt that effective and efficient usage of data in the digital world nowadays can help to foster a better world/society. However, people who are competent in harvest useful insights from a vast amount of data require a particular set of skills which is different from those offered by traditional academic program curriculums. Competent candidates should be able to manipulate data stored in different sources, explore useful patterns via math/statistical and machine learning skills, interpret the numerical results, summarize meaningful findings and convey the messages to other parties effectively.Topics from Statistics, Mathematics, Computing and Economics are addressed in this program. To ensure our students to acquire appropriate skills, regular meetings with various parties are arranged. The curriculum of HKMU BSc(Hons) in Data Science & Artificial Intelligence is resulted from the recommendations given by industry professionals, academic professors and employers in business sectors.
To meet the employers’ expectations, our curriculum incorporates SAS Institute official training materials and therefore students can take the Industrial certification (e.g. SAS programmer & SAS predictive modeler) examinations right after the completion of the respective courses.
Furthermore, students in this program are encouraged to expand their horizons via international organizations such as The Royal Statistical Society (RSS), The Institute for Operations Research and the Management Sciences (INFORMS), British Computer Society (BCS), Institute of Electrical & Electronics Engineers (IEEE).
Recognitions of the courses offered in the revised curriculum of BSc(Hons) in Data Science & Artificial Intelligence (BSCHDSAIF) 數據科學及人工智能榮譽理學士 are under review. The former program (BSCHSADF3) has acquired several external recognitions including:
- SAS Joint University certification - SAS programming and Data Mining
- The Hong Kong Council for Accreditation of Academic and Vocational Qualifications (HKCAAVQ) – Level 5
Characteristics of Programme
Data scientist is ranked number 1 in the United States (LinkedIn's Most Promising Jobs of 2019), whereas AI specialist is ranked number 1 among the top 10 roles in the United States (LinkedIn's 2020 Emerging Jobs Report). Hong Kong has been lagging behind the US and the UK in the size of the data science and AI job market, but now the demand is very strong as typically hundreds of job vacancies are available at any one time. While many data science/AI jobs are operating in the business context, there are still a wide range of roles and job titles, reflecting the multi-talented nature of the area.
Graduates will be ready for entry-level roles of data scientists, AI specialists, data engineers, and data analysts in commercial firms and public institutions.
A Higher Diploma or Associate Degree in statistics, data science, artificial intelligence, information technology, and other programmes of which the curriculum includes training in statistics.
Dr. Tony Chan
Tel: 2768 6867
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
- Database: Oracle, MangoDB, SQL, noSQL
- Distributed system: cloud computing
- Statistics and Analytics knowledge
- Probability and Expectation
- Hypothesis Testing
- Time Series Analysis and Forecasting
- Regression Analysis
- Effective presentation skills (Writing/Speaking/Visualization)
- Tailored English writing and presentation skills
- Effective use of visualization tools
Year 1 Curriculum
|STAT S261F||Data Science Fundamentals with Applications|
|COMP S208F||Introduction to Computer Programming|
|STAT S151F||Probability and Distributions|
|MATH S141F||Algebra and Calculus|
|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
|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|
|COMP S264F||Discrete Mathematics|
|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
|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
|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