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Applied Artificial Intelligence for Sustainable Society Transdisciplinary Second Major
Hong Kong , Hong Kong
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Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Bachelors
Major
Artificial Intelligence | Data Science
Area of study
Information and Communication Technologies | Natural Science
Course Language
English
About Program
Program Overview
Introduction to Applied Artificial Intelligence for Sustainable Society
The Applied Artificial Intelligence for Sustainable Society major is an innovative and transdisciplinary second major that bridges the gap between AI and sustainability. This program empowers students to harness the power of AI to drive business, social, and environmental changes.
Industry Need
There is a growing demand for professionals who can integrate AI with sustainable practices. Organizations across industries are seeking talent capable of addressing complex societal challenges using cutting-edge technology.
Eligibility
Students who are eligible to declare a Transdisciplinary Second Major (TSM) or Second Major (SM) should refer to the Academic Regulations website for more information.
Benefits
By enrolling in this major, students will gain knowledge related to strategic AI application, data analysis, and ethical governance, preparing them for a rewarding career in various sectors. This major enhances employability and equips students to become leaders in sustainable innovation.
Curriculum
The curriculum consists of:
- TSM Core Course: 3 units
- TSM Required Courses: 12 units
- TSM Elective Courses: 27 units
- Total: 42 units
TSM Core Course
| Course Code | Title | Units |
|---|---|---|
| ITS2005 | Transdisciplinary Inquiries and Methodologies | 3 |
TSM Required Courses
| Course Code | Title | Units |
|---|---|---|
| COMP1025 or COMP1007 | Coding for Humanists or Introduction to Python and Its Applications | 3 |
| COMP2035 | AI and Data Analytics for Health and Social Innovation I | 3 |
| GEOG2026 or BUSI2055 or GEST1005 | Introduction to Smart and Sustainable Cities or AI for Business or Introduction to Green Energy and Smart Technology | 3 |
| RELI2037 or BUSI3075 | Big Questions in the Philosophy and Ethics of AI or AI Ethics and Governance | 3 |
TSM Elective Courses
Students must take elective courses from at least two faculties or schools. The elective courses are offered by the following faculties and schools:
- Faculty of Science
- Faculty of Arts and Social Sciences
- School of Business
- School of Communication
Faculty of Science
| Course Code | Title | Units |
|---|---|---|
| COMP2865 | Fundamental of Data Analysis and Management | 3 |
| COMP3115 | Exploratory Data Analysis and Visualization | 3 |
| COMP3057 | Introduction to Artificial Intelligence and Machine Learning | 3 |
| COMP3075 | User Experience Design for Health and Well-being | 3 |
| COMP4125 | Visual Analytics | 3 |
| COMP4135 | Recommender Systems and Applications | 3 |
| GCAP3065 | Design for Smart City: Towards a Sustainable Living | 3 |
| GTSC2066 | ChatGPT - The start of a new wave of Generative AI | 3 |
| GEST1005 | Introduction to Green Energy and Smart Technology | 3 |
| GEST2007 | Renewable Energy Technology | 3 |
| GEST2015 | Energy Storage and Distribution | 3 |
| GEST3005 | Smart Sensors and IoT | 3 |
| GEST4005 | Carbon Audit and Energy Audit | 3 |
| GEST4006 | Energy Management of Green Building | 3 |
Faculty of Arts and Social Sciences
| Course Code | Title | Units |
|---|---|---|
| GEOG2015 | Maps and Map Making | 3 |
| GEOG2026 | Introduction to Smart and Sustainable Cities | 3 |
| HUMN3076 | Digital Humanities | 3 |
| RELI3235 | AI and Good Life: Global Perspectives | 3 |
| SOCI3025 | The Internet and Society | 3 |
| GEOG4046 | Remote Sensing and Image Interpretation | 3 |
| GEOG4017 | Geographical Information Systems | 3 |
| TRAN4075 | Machine Learning, Artificial Intelligence and Translation | 3 |
School of Business
| Course Code | Title | Units |
|---|---|---|
| BUSI2045 | Data Analytics for Business Decision Making | 3 |
| BUSI2055 | AI for Business | 3 |
| BUSI3046 | Business Communications in the Technology Era | 3 |
| ISEM3035 | Introduction to Business Data Analytics and Visualization | 3 |
| ISEM4017 | Consumer Insight: Online Customer Data Analytics and Machine Learning Approaches | 3 |
| BUSI4027 | Blockchain Innovation and Social Impact | 3 |
| ISEM4036 | Cybersecurity and Data Privacy | 3 |
| GTSU2037 | Sustainability through Digitalization: Active and Responsible Citizens in the Digital World | 3 |
| GTSU2055 | To Fear or Not To Fear: The Coming of AI and What It Means for Our Communities | 3 |
School of Communication
| Course Code | Title | Units |
|---|---|---|
| COMM1015 | Studies in Communication, Media and Journalism | 3 |
| COMM2027 | AI and Digital Communication | 3 |
| COMM2036 | Media Design and Digital Application | 3 |
| JOUR4076 | Media Innovation: AI and Cloud Solutions for Social Engagement | 3 |
| PRAO3015 | Consumer Perspectives in PR and Advertising | 3 |
| PRAO3047 | Corporate Social Responsibility and Stakeholder Engagement | 3 |
| PRAO3017 | Digital Public Relations | 3 |
| GAME3035 | Transdisciplinary Theory of Game Design | 3 |
Study Schedule
The study of TSM should normally commence in the third year of studies. Students are encouraged to take TSM courses in Year 2 as taster courses.
Year 2
| Semester 1 | Units | Semester 2 | Units |
|---|---|---|---|
| GEOG2026 Introduction to Smart and Sustainable Cities or BUSI2055 AI for Business or GEST1005 Introduction to Green Energy and Smart Technology | 3 | COMP1025 Coding for Humanists or COMP1007 Introduction to Python and Its Applications | 3 |
| Sub-total | 3 | Sub-total | 3 |
Year 3
| Semester 1 | Units | Semester 2 | Units |
|---|---|---|---|
| ITS2005 Transdisciplinary Inquires and Methodologies | 3 | Elective courses | 9 |
| COMP2035 AI and Data Analytics for Health and Social Innovation I | 3 | ||
| RELI2037 Big Questions in the Philosophy and Ethics of AI or BUSI3075 AI Ethics and Governance | 3 | ||
| Sub-total | 9 | Sub-total | 9 |
Year 4
| Semester 1 | Units | Semester 2 | Units |
|---|---|---|---|
| Elective courses | 9 | Elective courses | 9 |
| Sub-total | 9 | Sub-total | 9 |
Career Prospects
Graduates of this major are prepared for diverse roles and find opportunities in technology, healthcare, urban planning, renewable energy, business, media, and more.
Examples of Career Paths
- Arts students can leverage AI to enhance creativity and innovation in fields such as digital media, design, and cultural preservation. Potential roles include Digital Curator, AI-driven Media Artist, and Creative Technologist.
- Social Sciences students can apply AI to analyze societal trends and influence policy-making. Career paths include Social Data Analyst, Public Policy Advisor, or Urban Planner.
- Business students can utilize AI for strategic decision-making and process optimization. Career opportunities include AI Business Consultant, Data-Driven Marketing Strategist, or Operations Analyst.
- Communication students can harness AI to innovate in media and public relations. Potential careers include Digital Communication Strategist, AI Content Creator, or Social Media Analyst.
- Science students can apply AI to advance research and technological development. Career options include AI Research Scientist, Environmental Data Analyst, or Biotechnology Innovator.
FAQ
- Who can enroll in this major? For students who are eligible to declare a TSM/SM, please refer to the Academic Regulations website.
- What skills will I gain from this major? You will develop skills in AI, data analytics, sustainability practices, transdisciplinary collaboration, and ethical considerations of AI technologies for a sustainable society.
- How does this major complement my primary field of study? It provides a technological and sustainability perspective that enhances any discipline, making you more versatile and attractive to employers.
- What are the prerequisites for this major? There are no specific prerequisites. Demonstrated interest towards technology and sustainability (e.g., taking some taster courses) is helpful.
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