Bachelor of Computer Science  - Faculty of Data Science

Bachelor of Computer Science Programme

Introduction

1. Programme background

The objectives of this programme are to cooperate with the development plan of the Macau Special Administrative Region and the national digital economy development strategic plan. The programme will cultivate students to have a more profound and broad global worldview, have the ability to communicate and cooperate across cultures, and collaboratively solve complex problems and challenges faced by mankind, and have the potential to become excellent computer talents; to become thinkers and doers, with lifelong learning and passion for innovation, coupled with the ability to communicate effectively. It also cultivates professionals who are patriotic (loving country and Macau) in the fields of data science, artificial intelligence and information security, and who combine theory with practice, analysis and application that are needed for the development of the country and Macau.

2. Cultivation Objectives

Overall, the educational objectives of this programme include:

Establish basic knowledge of computer science and practical skills in innovative design

Establish the ability to explore problems, analyze problems, explain problems and solve problems

Cultivate humanistic qualities to serve and care for society

Understand the impact and responsibilities of information technology on society and expand international horizons

3. Programme Study Plan

Table 1

Course	Type	Class Time	Credit
*First Year*
Chinese Language and Literature	Compulsory	45	3
Constitution and Basic Law	Compulsory	45	3
College English I	Compulsory	45	3
College English II	Compulsory	45	3
Further Mathematics	Compulsory	45	3
Linear Algebra	Compulsory	45	3
Discrete Mathematics	Compulsory	45	3
Mathematical Statistics	Compulsory	45	3
Introduction to Computer Science	Compulsory	45	3
Advanced Programming	Compulsory	45	3
Design Computing Studio I	Compulsory	45	3
*Second Year*
College English III	Compulsory	45	3
College English IV	Compulsory	45	3
Introduction to Computer Security	Compulsory	45	3
Data Structure and Algorithms	Compulsory	45	3
Database Systems	Compulsory	45	3
Introduction to Operating Systems	Compulsory	45	3
Introduction to Computer Architecture	Compulsory	45	3
Software Engineering	Compulsory	45	3
Human Computer Interaction	Compulsory	45	3
Computer Network	Compulsory	45	3
Design Computing Studio II	Compulsory	45	3
*Third Year*
Design Computing Studio III	Compulsory	45	3
Five courses from the chosen Major as listed in Table 2	Compulsory	225	15
Two Major elective courses listed in Table 3	Compulsory	90	6
*Forth Year*
Final Year Project	Compulsory	225	15
One Major elective course listed in Table 3	Compulsory	45	3
Second to fourth year
Three general elective courses listed in Table 4	Compulsory	135	9
Third to fourth year
Three interdisciplinary education elective courses*	Compulsory	135	9
Subtotal		1890	*126*

* Students are required to take courses in bachelor's degree programmes offered by other academic units designated by the university (except for homework projects/graduation projects and practice-oriented programme).

Table 2 Compulsory courses for Majors

Students are required to choose one of the following three majors
I. Information Security
Course	Type	Class Time	Credit
*Third Year*
Computer Systems Security	Compulsory	45	3
Computer Network Security	Compulsory	45	3
Cryptography and Its Applications	Compulsory	45	3
Information Privacy	Compulsory	45	3
Advanced Topics in Information Security	Compulsory	45	3
II. Data Science
Course	Type	Class Time	Credit
*Third Year*
Data Analytics and Statistical Inference	Compulsory	45	3
Introduction to Big Data Programming	Compulsory	45	3
Cloud Computing and Big Data Analytics	Compulsory	45	3
Big Data Analytics and Applications	Compulsory	45	3
Advanced Topics in Data Science	Compulsory	45	3
III. Artificial Intelligence
Course	Type	Class Time	Credit
*Third Year*
Introduction to Artificial Intelligence	Compulsory	45	3
Introduction to Artificial Neural Networks	Compulsory	45	3
Data Mining and Machine Learning	Compulsory	45	3
Introduction to Robotics and Brain Computing	Compulsory	45	3
Advanced Topics in Artificial Intelligence	Compulsory	45	3

Table 3 Major elective courses

I. Information Security
Course	Type	Class Time	Credit
*Third & Forth Year*
Data Analytics and Statistical Inference	Elective	45	3
Introduction to Big Data Programming	Elective	45	3
Cloud Computing and Big Data Analytics	Elective	45	3
Big Data Analytics and Applications	Elective	45	3
Advanced Topics in Data Science	Elective	45	3
Introduction to Artificial Intelligence	Elective	45	3
Introduction to Artificial Neural Networks	Elective	45	3
Data Mining and Machine Learning	Elective	45	3
Introduction to Robotics and Brain Computing	Elective	45	3
Advanced Topics in Artificial Intelligence	Elective	45	3
Mobile Apps Programming	Elective	45	3
Distributed Computing and Cloud Computing	Elective	45	3
II. Data Science
Course	Type	Class Time	Credit
*Third & Forth Year*
Computer Systems Security	Elective	45	3
Computer Network Security	Elective	45	3
Cryptography and Its Applications	Elective	45	3
Information Privacy	Elective	45	3
Advanced Topics in Information Security	Elective	45	3
Introduction to Artificial Intelligence	Elective	45	3
Introduction to Artificial Neural Networks	Elective	45	3
Data Mining and Machine Learning	Elective	45	3
Introduction to Robotics and Brain Computing	Elective	45	3
Advanced Topics in Artificial Intelligence	Elective	45	3
Mobile Apps Programming	Elective	45	3
Distributed Computing and Cloud Computing	Elective	45	3
III. Artificial Intelligence
Course	Type	Class Time	Credit
*Third & Forth Year*
Computer Systems Security	Elective	45	3
Computer Network Security	Elective	45	3
Cryptography and Its Applications	Elective	45	3
Information Privacy	Elective	45	3
Advanced Topics in Information Security	Elective	45	3
Data Analytics and Statistical Inference	Elective	45	3
Introduction to Big Data Programming	Elective	45	3
Cloud Computing and Big Data Analytics	Elective	45	3
Big Data Analytics and Applications	Elective	45	3
Advanced Topics in Data Science	Elective	45	3
Mobile Apps Programming	Elective	45	3
Distributed Computing and Cloud Computing	Elective	45	3

Note: Students must choose three courses from the selected majors listed in Table 3.

Table 4 General Education Elective Courses

Course	Type	Class Time	Credit
*Intercultural Communication*
Cantonese and Lingnan Culture	Elective	45	3
Portuguese Language and Culture	Elective	45	3
Public Speaking Skills	Elective	45	3
Introduction to Western Literature	Elective	45	3
Special Topics in Intercultural Communication	Elective	45	3

*Science and Technology Prospect*
Introduction to Information Technology	Elective	45	3
Fundamentals of Internet of Things	Elective	45	3
Introduction to Computer Network	Elective	45	3
Big Data: Decision and Cogitation	Elective	45	3
Introduction to Program Design	Elective	45	3
Special Topics in Science and Technology	Elective	45	3

*International Understandingt*
General Study of Western Culture	Elective	45	3
History of Macau: the Encounter of Eastern and Western Cultures	Elective	45	3
Special Topics in International Understanding: Macau and World	Elective	45	3
Special Topics in International Understanding: China and World	Elective	45	3

*Artistic Cultivation*
Art Appreciation and Practice	Elective	45	3
Chinese Music Appreciation	Elective	45	3
Introduction to Arts Performance	Elective	45	3
Movies Appreciation	Elective	45	3
Special Topics in Artistic Cultivation	Elective	45	3

*Humanistic Reflection*
Comparison between Chinese and Western Philosophy	Elective	45	3
Introduction to Historical Masterpieces	Elective	45	3
Introduction to Classics	Elective	45	3
Service and Experience	Elective	45	3
Special Topics in Humanities Reflection	Elective	45	3

Students are required to choose a total of three courses (one course from each area) in three of the five areas of general education: cross-cultural communication, technological perspective, international understanding, artistic accomplishment, and humanistic reflection to obtain 9 credits.

Illustration

1.Cultivation Objectives: To cooperate with the development plan of the Macau Special Administrative Region and the national digital economy development strategic plan. The course will cultivate students to have a more profound and broad global worldview, and the ability to communicate and cooperate across cultures, and to collaboratively solve complex problems and challenges faced by mankind, and have the potential to become excellent computer talents; to become thinkers and doers, with lifelong learning and passion for innovation, coupled with the ability to communicate effectively. Cultivate professional talents in the fields of data science, artificial intelligence and information security who are patriotic (loving Country and Macau), and who are capable of combining theory and practice, and analyzing and applying what is needed for the development of the country and Macau

2. To complete this course, students must complete 6 basic compulsory general education courses for a total of 18 credits, 17 basic compulsory courses for a total of 51 credits, 5 major compulsory courses for a total of 15 credits, 3 major elective courses for a total of 9 credits, and a graduation project of 15 credits, as well as 3 general education elective courses and 3 interdisciplinary education elective courses (a total of 18 credits from three courses from other faculties designated by the university, for a total of 38 courses (126 credits).

3. If the number of students taking an elective course is less than 20, the course could not be offered, and students will need to change to other courses.
4. Students cannot repeat courses they have already completed (with Passing grade).

Study Plan Course Framework	Credit
General education required	18
Basic compulsory courses	51
Major compulsory courses	15
Major electives	9
Graduation project	15
General Education electives	9
Interdisciplinary electives	9
Total credits	126

Note: The teaching languages are Chinese and English

4. Admission criteria

Local and international students:

Have a high school diploma;

Those who are twenty-three years old or above are exempted from the prerequisite academic requirements for admission but must pass the university's entrance examination.

Mainland students:

Have a high school diploma;

Participate in the National Unified Entrance Examination for Colleges and Universities (Summer College Entrance Examination) of that year.