Bachelor of Science with Honours in Data Science and Artificial Intelligence

School of Science and Technology Computing   Full-time Programmes   Bachelor of Science with Honours in Data Science and Artificial Intelligence  

Bachelor of Science with Honours in Data Science & Artificial Intelligence

數據科學及人工智能榮譽理學士
Face-to-Face Full-time JSSU70 BSCHDSAIF
  • Overview
  • Curriculum

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

 
Career Prospects

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.

Admission Requirement

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.

 

Enquiries

Dr. Tony Chan
Tel: 2768 6867

Email: tmtchan@hkmu.edu.hk

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
Core
STAT S261FData Science Fundamentals with Applications
COMP S208FIntroduction to Computer Programming
STAT S151FProbability and Distributions
MATH S141FAlgebra and Calculus
Elective
ENGEnglish Language Enhancement Course I (Writing)
ENGEnglish Language Enhancement Course II (Presentation)
GENGeneral Education Course I
GENGeneral Education Course II
Year 2 Curriculum
Core
STAT S263FBig Data Analytics and Applications
STAT S251FStatistical Data Analysis
COMP S209FData Structures, Algorithms and Problem Solving
COMP S203FIntermediate Java Programming and User Interface Design
COMP S202FJava Programming Fundamentals
MATH S262FLinear Algebra
Elective
GENGeneral Education Course I
GENGeneral 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 S382FData Mining and Analytics
STAT S366FSAS Programming
COMP S333FAdvanced Programming and AI Algorithms
STAT S311FTime Series Analysis and Forecasting
COMP S320FDatabase Management
COMP S350FSoftware Engineering
COMP S351FSoftware Project Management
COMP S492FMachine Learning
Year 4 Curriculum
Core
STAT S461FData Science Project (whole year)
COMP S460FAdvanced Topics in Data Mining
COMP S321FAdvanced Database and Data Warehousing
COMP S493FDeep Learning
COMP S381FServer-side Technologies and Cloud Computing
Elective (2 courses)
ELEC S425FComputer and Network Security
COMP S413FApplication Design and Development for Mobile Devices
The programme requirements & the courses on offer are subject to amendment
Jonathan Chiu
Marketing Director
3DP Technology Limited

Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.

Krutz Cheuk
Biomedical Engineer
Hong Kong Sanatorium & Hospital

After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.

Hugo Leung
Software and Hardware Engineer
Innovation Team Company Limited

Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.

The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.

Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.

Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.

Course CodeTitleCredits
 COMP S321FAdvanced Database and Data Warehousing5
 COMP S333FAdvanced Programming and AI Algorithms5
 COMP S351FSoftware Project Management5
 COMP S362FConcurrent and Network Programming5
 COMP S363FDistributed Systems and Parallel Computing5
 COMP S382FData Mining and Analytics5
 COMP S390FCreative Programming for Games5
 COMP S492FMachine Learning5
 ELEC S305FComputer Networking5
 ELEC S348FIOT Security5
 ELEC S371FDigital Forensics5
 ELEC S431FBlockchain Technologies5
 ELEC S425FComputer and Network Security5
 Course CodeTitleCredits
 ELEC S201FBasic Electronics5
 IT S290FHuman Computer Interaction & User Experience Design5
 STAT S251FStatistical Data Analysis5
 Course CodeTitleCredits
 COMPS333FAdvanced Programming and AI Algorithms5
 COMPS362FConcurrent and Network Programming5
 COMPS363FDistributed Systems and Parallel Computing5
 COMPS380FWeb Applications: Design and Development5
 COMPS381FServer-side Technologies and Cloud Computing5
 COMPS382FData Mining and Analytics5
 COMPS390FCreative Programming for Games5
 COMPS413FApplication Design and Development for Mobile Devices5
 COMPS492FMachine Learning5
 ELECS305FComputer Networking5
 ELECS363FAdvanced Computer Design5
 ELECS425FComputer and Network Security5