Bachelor of Science with Honours in Data Science and Artificial Intelligence

Bachelor of Science with Honours in Data Science & Artificial Intelligence (5-Credits System)

數據科學及人工智能榮譽理學士 (五學分制度)

Face-to-Face Full-time SSSDP JSSU70 BSCHDSAIJS 5-Credits

Overview
Curriculum
Study Plan
Admission

Introduction

The Bachelor of Science with Honours in Data Science and Artificial Intelligence programme (BSCHDSAIJS/JUPAS JSSU70) aims to provide graduates with the breadth of an advanced understanding of theories and practices in the field of Data Science and Artificial Intelligence.

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.

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).

Bachelor of Science with Honours in Data Science & Artificial Intelligence (BSCHDSAIJS) 數據科學及人工智能榮譽理學士 has acquired the following external recognitions:

SAS Joint University certification – SAS programming and Data Mining
The Hong Kong Council for Accreditation of Academic and Vocational Qualifications (HKCAAVQ) – Level 5

This programme provides multiple entry points: Year 1 Entry through JUPAS and Senior Year Entry through Direct Application at the HKMU website.

Entry Points	Application Methods	Code
Year 1 Entry	JUPAS / Direct Application #	JSSU70 / BSCHDSAIJ1 #
Senior Year Entry	Direct Application	BSCHDSAIJS

#Students who are not sitting the HKDSE this year and have an equivalent qualification such as IB or GCE-A Level should apply through [Direct Application].

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.

Intended Learning Outcomes

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

Student Achievements

HKMU Computing Graduates regularly show their strength in problem solving and academic paper writing in inter-varsity contests and competitions. Since 2010, they have won over 30 prizes and awards, affirming their competitiveness among the UGC universities.

Please refer to the Student Achievements or Best Projects page for more details.

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.

Further Studies

Graduates of this programme have been admitted to various postgraduate programmes in local and overseas universities. Graduates may choose to study for a postgraduate degree in an advanced area in Data Science or Artificial Intelligence or in other areas for the broadening of their exposure and skill set. Even pursuing for a doctoral research degree.

Enquiries

Dr. Tony Chan

Tel: 2768 6867

Email: tmtchan@hkmu.edu.hk

Programme Structure

The 4-year programme consists of a balanced set of subject-area courses, language courses, and general education courses.

Core Courses (Foundation and Middle Level)

Core Courses: Provide training in some of the major pillars in modern computing: processing of information, networking of information, and management of information.

Include programming, software development, software engineering, computing infrastructure, and databases.

Code	Title	Credits	Course Level	Honours Classification
MATH S141F	Algebra and Calculus	5	Foundation	–
STAT S151F	Probability and Distributions	5	Foundation	–
COMP S202F	Java Programming Fundamentals	5	Middle	b
COMP S203F	Intermediate Java Programming and User Interface Design	5	Middle	b
COMP S208F	Introduction to Computer Programming	5	Middle	b
COMP S209F	Data Structures, Algorithms, and Problem Solving	5	Middle	b
COMP S264F	Discrete Mathematics	5	Middle	b
STAT S251F	Statistical Data Analysis	5	Middle	b
STAT S261F	Data Analytics with Applications	5	Middle	b
STAT S263F	Big Data in Organizations	5	Middle	b

Core Courses (Higher Level)

Core Courses: Provide training in some of the major pillars in modern computing: processing of information, networking of information, and management of information.

Include programming, software development, software engineering, computing infrastructure, and databases.

Code	Title	Credits	Course Level	Honours Classification
COMP S320F	Database Management	5	Higher	a or b
COMP S321F	Advanced Database and Data Warehousing	5	Higher	a or b
COMP S333F	Artificial Intelligence Algorithms	5	Higher	a or b
COMP S350F	Software Engineering	5	Higher	a or b
COMP S351F	Software Project Management	5	Higher	a or b
COMP S381F	Server-side Technologies and Cloud Computing	5	Higher	a or b
COMP S382F	Data Mining and Analytics	5	Higher	a or b
COMP S460F	Advanced Topics in Data Mining	5	Higher	a or b
COMP S492F	Machine Learning	5	Higher	a or b
COMP S493F	Deep Learning	5	Higher	a or b
STAT S311F	Time Series Analysis and Forecasting	5	Higher	a or b
STAT S366F	SAS Programming	5	Higher	a or b

Project Courses

Elective and Project Courses: Expose students to specialized topics related to Internet Technology.

The final year project courses provide an opportunity to develop in-depth knowledge and high-level thinking process in a research and development project or an advanced software development project.

Code	Title	Credits	Course Level	Honours Classification
STAT S461F	Data Science Project	10	Higher	a or b

Elective Courses

Elective and Project Courses: Expose students to specialized topics related to Internet Technology.

The final year project courses provide an opportunity to develop in-depth knowledge and high-level thinking process in a research and development project or an advanced software development project.

Code	Title	Credits	Course Level	Honours Classification
COMP S413F	Applications Design and Development For Mobile Devices	5	Higher	a or b
ELEC S425F	Computer and Network Security	5	Higher	a or b

English Language Enhancement Courses

Other Activities: In addition to the development of technical knowledge and skills, students are expected to develop their soft skills such as teamwork and communication.

Students are encouraged to participate in various contests, seminars, and workshops for sharpening their competitiveness.

Code	Title	Credits	Course Level	Honours Classification
Course List		5	Depends on selection	–
Course List		5	Depends on selection	–

General Education Courses

Other Activities: In addition to the development of technical knowledge and skills, students are expected to develop their soft skills such as teamwork and communication.

Students are encouraged to participate in various contests, seminars, and workshops for sharpening their competitiveness.

Code	Credits	Course Level	Honours Classification
Course List	5	–	–
Course List	5	–	–
Course List	5	–	–
Course List	5	–	–

Study Plan

Year 1 Entry
Year 3 Entry

Students admitted at the Year 1 Entry Point are required to complete 160 credits and of which no more than 40 credits should be taken at foundation level during the nominal 4-year study period for the degree of Bachelor of Science with Honours in Data Science and Artificial Intelligence.

Categories	Weightings
Core Computing Courses	110 Credits
Project Courses and Elective Courses	20 Credits
English Enhancement Courses	10 Credits
General Education Courses	20 Credits
Total	160 Credits

Year 1
Year 2
Year 3
Year 4

Code	Title	Category	Credits	Course Level	Honours Classification
MATH S141F	Algebra and Calculus	Core	5	Foundation	-
STAT S151F	Probability and Distributions	Core	5	Foundation	-
COMP S208F	Introduction to Computer Programming	Core	5	Middle	b
STAT S261F	Data Analytics with Applications	Core	5	Middle	b
	English Enhancement Course	ENG	5	Depends on selection	-
	English Enhancement Course	ENG	5	Depends on selection	-
	General Education Course	GE	5	-	-
	General Education Course	GE	5	-	-

Code	Title	Category	Credits	Course Level	Honours Classification
COMP S202F	Java Programming Fundamentals	Core	5	Middle	b
COMP S203F	Intermediate Java Programming and User Interface Design	Core	5	Middle	b
COMP S209F	Data Structures, Algorithms, and Problem Solving	Core	5	Middle	b
MATH S262F	Linear Algebra	Core	5	Middle	b
STAT S251F	Statistical Data Analysis	Core	5	Middle	b
STAT S263F	Big Data in Organizations	Core	5	Middle	b
	General Education Course	GE	5	-	-
	General Education Course	GE	5	-	-

Code	Title	Category	Credits	Course Level	Honours Classification
COMP S320F	Database Management	Core	5	Higher	a or b
COMP S333F	Artificial Intelligence Algorithms	Core	5	Higher	a or b
COMP S350F	Software Engineering	Core	5	Higher	a or b
COMP S351F	Software Project Management	Core	5	Higher	a or b
COMP S382F	Data Mining and Analytics	Core	5	Higher	a or b
COMP S492F	Machine Learning	Core	5	Higher	a or b
STAT S311F	Time Series Analysis and Forecasting	Core	5	Higher	a or b
STAT S366F	SAS Programming	Core	5	Higher	a or b

Code	Title	Category	Credits	Course Level	Honours Classification
STAT S461F	Data Science Project	Project	10	Higher	a or b
COMP S321F	Advanced Database and Data Warehousing	Core	5	Higher	a or b
COMP S381F	Server-side Technologies and Cloud Computing	Core	5	Higher	a or b
COMP S460F	Advanced Topics in Data Mining	Core	5	Higher	a or b
COMP S493F	Deep Learning	Core	5	Higher	a or b
COMP S413F	Application Design and Development For Mobile Devices	Elective	5	Higher	a or b
ELEC S425F	Computer and Network Security	Elective	5	Higher	a or b

The programme requirements & the courses on offer are subject to amendment

Students admitted at the Year 3 Entry Point are required to complete 80 credits during the nominal 2-year study period for the degree of Bachelor of Science with Honours in Data Science and Artificial Intelligence.

Categories	Weightings
Core Computing Courses	60 Credits
Project Courses and Elective Courses	20 Credits
Total	80 Credits

Year 3
Year 4

Code	Title	Category	Credits	Course Level	Honours Classification
COMP S320F	Database Management	Core	5	Higher	a or b
COMP S333F	Artificial Intelligence Algorithms	Core	5	Higher	a or b
COMP S350F	Software Engineering	Core	5	Higher	a or b
COMP S351F	Software Project Management	Core	5	Higher	a or b
COMP S382F	Data Mining and Analytics	Core	5	Higher	a or b
COMP S492F	Machine Learning	Core	5	Higher	a or b
STAT S311F	Time Series Analysis and Forecasting	Core	5	Higher	a or b
STAT S366F	SAS Programming	Core	5	Higher	a or b

Code	Title	Category	Credits	Course Level	Honours Classification
STAT S461F	Data Science Project	Project	10	Higher	a or b
COMP S321F	Advanced Database and Data Warehousing	Core	5	Higher	a or b
COMP S381F	Server-side Technologies and Cloud Computing	Core	5	Higher	a or b
COMP S460F	Advanced Topics in Data Mining	Core	5	Higher	a or b
COMP S493F	Deep Learning	Core	5	Higher	a or b
COMP S413F	Application Design and Development For Mobile Devices	Elective	5	Higher	a or b
ELEC S425F	Computer and Network Security	Elective	5	Higher	a or b

The programme requirements & the courses on offer are subject to amendment

Subsidy

JUPAS Entry

Starting from 2018 admission, the JUPAS entry point of the programme is included in the Study Subsidy Scheme for Designated Professions/Sectors (SSSDP). Eligible students will receive $44,240 subsidy per annum.

This SSSDP programme normally admits students through JUPAS. The JUPAS code is JSSU70.

Please refer to SSSDP's website for eligibility and more information.

Senior Year Entry

For Senior Year entry students, they may supported by Non-means-tested Subsidy Scheme (NMTSS). Eligible students will receive $33,200 subsidy per annum.

Please refer to NMTSS's website for eligibility and more information.

Admission

This programme provides multiple entry points: Year 1 Entry through JUPAS and Senior Year Entry through Direct Application at the HKMU website.

Entry Points	Application Methods	Code
Year 1 Entry	JUPAS / Direct Application #	JSSU70 / BSCHDSAIJ1 #
Senior Year Entry	Direct Application	BSCHDSAIJS

#Students who are not sitting the HKDSE this year and have an equivalent qualification such as IB or GCE-A Level should apply through [Direct Application].

Admission Requirements

JUPAS Admission

Students should normally have attained in the Hong Kong Diploma of Secondary Education (HKDSE) Examination results of Level 3 or above in Chinese and English, as well as Level 2 or above in Mathematics, Liberal Studies and an elective subject.

Please refer to JUPAS website for more JUPAS admission information

Should there be unfilled intake places after all admission rounds of JUPAS, the SSSDP participating institution will admit local non-JUPAS applicants with a recognized Higher Diploma or Associate Degree via direct admission of no more than 10% of the subsidised places of each selected programme (subject to SSSDP rules that are to be announced).

First Year Tuition Fee *

The amount of subsidy for the JSSU70 programme under the SSSDP is HK$44,240 per annum. The subsidy is tenable for the normal duration of the study programme concerned and is subject to the students' satisfactory fulfilment for progression in the study programme. The government's terms and conditions apply.

Tuition Fee after SSSDP subsidy:

First Year	HK$34,080*
Total	HK$136,320*

*Please refer to the JUPAS page for updates and details.

*The estimated tuition fees listed above are for reference only. Tuition fees are charged according to the number of course credits taken by a student. A student will normally take 40 credits in an academic year.

*The subsidy is tenable for the normal duration of the study programme concerned and is subject to the students' satisfactory fulfilment for progression in the study programme

Senior Year Entry

This programme has offered degree articulation opportunities for local Higher Diploma and Associate Degree holders.

The curriculum is designed to be academically rich and practically oriented for preparing local sub-degree holders to become highly competent computing professionals.

Students admitted at a senior year entry point will join other students from Year 1 entry in pursuing of the degree. They can make use of the chance to build a strong personal network with their peers and many alumni of this programme who are doing well in their career.

Senior Entry 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.

Admission Application

Students interested in this programme should apply through non-JUPAS Direct Application. The programme code is BSCHDSAIJS.

Please refer to the program's website for below or more information

Application Procedures
Online Application
Tuition Fees, Scholarships and Financial Assistance

Course Code	Title	Credits
COMP S321F	Advanced Database and Data Warehousing	5
COMP S333F	Advanced Programming and AI Algorithms	5
COMP S351F	Software Project Management	5
COMP S362F	Concurrent and Network Programming	5
COMP S363F	Distributed Systems and Parallel Computing	5
COMP S382F	Data Mining and Analytics	5
COMP S390F	Creative Programming for Games	5
COMP S492F	Machine Learning	5
ELEC S305F	Computer Networking	5
ELEC S348F	IOT Security	5
ELEC S371F	Digital Forensics	5
ELEC S431F	Blockchain Technologies	5
ELEC S425F	Computer and Network Security	5

Course Code	Title	Credits
ELEC S201F	Basic Electronics	5
IT S290F	Human Computer Interaction & User Experience Design	5
STAT S251F	Statistical Data Analysis	5

Course Code	Title	Credits
COMPS333F	Advanced Programming and AI Algorithms	5
COMPS362F	Concurrent and Network Programming	5
COMPS363F	Distributed Systems and Parallel Computing	5
COMPS380F	Web Applications: Design and Development	5
COMPS381F	Server-side Technologies and Cloud Computing	5
COMPS382F	Data Mining and Analytics	5
COMPS390F	Creative Programming for Games	5
COMPS413F	Application Design and Development for Mobile Devices	5
COMPS492F	Machine Learning	5
ELECS305F	Computer Networking	5
ELECS363F	Advanced Computer Design	5
ELECS425F	Computer and Network Security	5

Bachelor of Science with Honours in Data Science and Artificial Intelligence

Bachelor of Science with Honours in Data Science & Artificial Intelligence (5-Credits System)

Introduction

Intended Learning Outcomes

Student Achievements

Career Prospects

Further Studies

Enquiries

Programme Structure

Study Plan

Subsidy

JUPAS Entry

Senior Year Entry

Admission

Admission Requirements

JUPAS Admission

First Year Tuition Fee *

Senior Year Entry

Senior Entry Admission Requirement

Admission Application

Jonathan Chiu

Marketing Director

3DP Technology Limited

Krutz Cheuk

Biomedical Engineer

Hong Kong Sanatorium & Hospital

Hugo Leung

Software and Hardware Engineer

Innovation Team Company Limited

Bachelor of Science with Honours in Data Science and Artificial Intelligence

Bachelor of Science with Honours in Data Science & Artificial Intelligence (5-Credits System)

Introduction

Intended Learning Outcomes

Student Achievements

Career Prospects

Further Studies

Enquiries

Programme Structure

Study Plan

Subsidy

JUPAS Entry

Senior Year Entry

Admission

Admission Requirements

JUPAS Admission

First Year Tuition Fee *

Senior Year Entry

Senior Entry Admission Requirement

Admission Application

Graduates becomes entrepreneur to realize his dream in Science Park

Jonathan Chiu

Marketing Director

3DP Technology Limited

Engineer working side-by-side with medical doctors in hospital

Krutz Cheuk

Biomedical Engineer

Hong Kong Sanatorium & Hospital

Award-winning inventor turns ideas in medical products

Hugo Leung

Software and Hardware Engineer

Innovation Team Company Limited