Applied Artificial Intelligence for Sustainable Society -
Your Path to Career Success
Discover how you can become a pioneer in your future workplace by revolutionizing the industry with AI and making a positive impact on society and the environment.
Introduction
Applied Artificial Intelligence for Sustainable Society major is an innovative and transdisciplinary second major that bridges the gap between AI and sustainability. This TSM empowers students to harness the power of AI to drive business, social and environmental changes.
Industry Need
In today's rapidly evolving world, the demand for professionals who can integrate AI with sustainable practices is growing exponentially. Organizations across industries are seeking talent capable of addressing complex societal challenges using cutting-edge technology.
Eligibility
Open to all students, regardless of their primary field of study, this major offers a unique opportunity to complement your existing expertise with AI and sustainability knowledge.
Benefits
By enrolling in this major, you'll gain knowledge related to strategic AI application, data analysis, and ethical governance, preparing you for a rewarding career in various sectors. Enhance your employability and become a leader in sustainable innovation.
Curriculum
Unit Requirement:
TSM Core Course
3
+
TSM Required Courses
12
+
TSM Elective Courses #
27
=
TSM Total
42
Units
TSM Core Course (3 units)
| Course Code | Title | Units |
|---|---|---|
| ITS2XXX | Transdisciplinary Inquiries and Methodologies ** | 3 |
TSM Required Courses (12 units)
| Course Code | Title | Units |
|---|---|---|
| COMP1XXX 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 |
| GEOG2XXX or BUSI2055 or GEST1005 |
Introduction to Smart and Sustainable Cities or AI for Business or Introduction to Green Energy and Smart Technology |
3 |
| RELI2XXX or BUSI1XXX |
Big Questions in the Philosophy and Ethics of AI or AI Ethics and Governance |
3 |
TSM Elective Courses (27 units) #
| 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 |
| Course Code | Title | Units |
|---|---|---|
| GEOG2015 | Maps and Map Making | 3 |
| GEOG2XXX | Introduction to Smart and Sustainable Cities* | 3 |
| HUMN3076 | Digital Humanities | 3 |
| RELI3XXX | 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 |
| 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 |
| BUSI4XXX | 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 |
| 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 |
# Students should take elective courses from at least TWO Faculties/Schools
** This is a required course for all students taking a TSM. It is designed by the DTUP.
* The course marked with an asterisk indicates that it is an option within the Required Courses. Students may select this course as an Elective if it has not been chosen as their required course.
Study Schedule (tentative)
The study of TSM should normally commence in the third year of studies of the students although students should be encouraged to take TSM courses in Year 2 as taster courses.
| Semester 1 | Units | Semester 2 | Units |
|---|---|---|---|
| GEOG2XXX Introduction to Smart and Sustainable Cities
or BUSI 2055 AI for Business or GEST1005 Introduction to Green Energy and Smart Technology |
3 | COMP1XXX Coding for Humanists
or COMP1007 Introduction to Python and Its Applications |
3 |
| Sub-total | 3 | Sub-total | 3 |
| Semester 1 | Units | Semester 2 | Units |
|---|---|---|---|
| ITS2XXX Transdisciplinary Inquires and Methodologies | 3 | Elective courses | 9 |
| COMP2035 AI and Data Analytics for Health and Social Innovation I | 3 | ||
| RELI2XXX Big Questions in the Philosophy and Ethics of AI
or BUSI 1XXX AI Ethics and Governance |
3 | ||
| Sub-total | 9 | Sub-total | 9 |
| Semester 1 | Units | Semester 2 | Units |
|---|---|---|---|
| Elective courses | 9 | Elective courses | 9 |
| Sub-total | 9 | Sub-total | 9 |
Career Prospects
Your Path to Career Success
Graduates of this major are prepared for diverse roles and find opportunities in technology, healthcare, urban planning, renewable energy, business, media, and more.
For examples:
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, where you can use AI to develop interactive art installations or digital storytelling platforms.
Social Sciences students can apply AI to analyse societal trends and influence policy-making. Career paths include Social Data Analyst, Public Policy Advisor, or Urban Planner, focusing on using AI to address social issues, improve community well-being, and develop smart city solutions.
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, where AI is used to enhance customer insights, streamline operations, and drive sustainable business practices.
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, where AI tools are used to analyse audience engagement, personalize content delivery, and manage digital campaigns.
Science students can apply AI to advance research and technological development. Career options include AI Research Scientist, Environmental Data Analyst, or Biotechnology Innovator, focusing on using AI for scientific discovery, environmental monitoring, and developing sustainable technologies.
Overall, regardless of your primary major, the "Applied Artificial Intelligence for Sustainable Society" major equips you with versatile skills applicable in various industries such as technology, healthcare, urban planning, renewable energy, media, and more. You'll be prepared to take on roles that require a blend of technical expertise, creative problem-solving, and a commitment to sustainability.
FAQ
All students from any faculty can enrol in this major as a second major.
You'll develop skills in AI, data analytics, sustainability practices, transdisciplinary collaboration, and ethical considerations of AI technologies for a sustainable society.
It provides a technological and sustainability perspective that enhances any discipline, making you more versatile and attractive to employers.
There are no specific prerequisites. Your demonstrated interest towards technology and sustainability (e.g., taking some taster courses) are helpful.
Contact
For more information, please contact our programme office: