Bachelor of Computing in Business Artificial Intelligence Systems (with Honours*)
Formerly known as Bachelor of Computing in Information Systems (with Honours*)
Life as a Business Artificial Intelligence student
Imagine designing artificial intelligence (AI) systems for leading global corporations, advising financial institutions on algorithmic trading strategies, producing creative content with generative AI for digital marketing agencies, or managing AI governance and management policies for IT consulting firms.
As a Business Artificial Intelligence Systems (BAIS) student at NUS, you will develop the advanced skills and expertise necessary to excel in these impactful and dynamic careers. The BAIS programme integrates cutting-edge AI technologies with strategic business insights, empowering you to design, implement, and manage AI systems that drive digital innovation and transformation. You will explore key areas such as AI and machine learning (ML), full-stack AI solutioning, AI governance, and digital transformation, gaining an in-depth understanding of the convergence between AI and business. With a strong emphasis on practical, real-world applications, the programme prepares you to tackle complex challenges across diverse industries such as finance and healthcare, which are increasingly driven by the confluence of AI technologies, data and Infocomm.
NUS is recognised for its exceptional technical foundation in computing. As a BAIS student, you will receive a world-class education in AI/ML fundamentals, software engineering, data engineering, and AI management focused on addressing business challenges and driving digital innovations. This comprehensive approach equips you for versatile job roles that cut across AI/technical, business and management functions in commercial and public sector organisations. In summary, the BAIS programme offers you a rigorous, fast-paced, and rewarding journey toward becoming a future-ready AI professional.
Design AI solutions for businesses
Lead organisational digital transformation driven by AI technologies
Formulate AI governance and management policies
Learn the latest trends in fintech, digital product and platform management
Build expertise with flexible elective options
Our Business Artificial Intelligence Systems programme offers three specialisations to give students the opportunity to build expertise for key job domains:
Digital Product and Platform Management Specialisation
Equip yourself with strong foundational knowledge in digital product and platform management. With this specialisation, you will be able to apply digital product and platform management techniques to design and manage digital products and solutions and take on career paths such as becoming a digital strategist or a digital product/platform manager.
Financial Technology (Fintech) Specialisation
Equip yourself with a solid understanding of the disruptive use of technology in the financial services such as blockchain, distributed ledger, automated trading systems, etc. Learn to design and implement IT services, solutions and platforms for the financial industry and gain the technical skills to pursue niche jobs in Fintech, such as financial IT analyst and blockchain developer, upon graduation.
Artificial Intelligence (AI) Governance and Management Specialisation
Build expertise in AI governance and management by gaining in-depth knowledge of AI systems and their regulatory, ethical, and operational frameworks and policies. Develop the skills to design, implement, and oversee AI-driven solutions, ensuring compliance with legal standards, ethical principles, and organisational policies. Prepare for roles in managing AI systems, such as AI consultant and AI compliance officer.
Widen your horizon through a Double Degree, Double Major, or Minor programme
Students can also apply to do a Double Degree, Double Major, or even a Minor beyond the Business Artificial Intelligence Systems major. For further, updated information, visit our Undergraduate Programmes catalogue.
Sampler of Courses
IS2108 Full-stack Software Engineering for AI Solutions I
Gain full-stack software development expertise, blending backend and frontend skills to create cutting-edge applications powered by AI. Design AI solutions that automate business processes and revolutionise decision-making.
IS2109 AI and Machine Learning Techniques I
Master the core concepts and techniques of AI and machine learning. Apply your AI knowledge and skills to real-world datasets and explore impactful business applications of machine learning.
IS3103 Digital Transformation and Leadership Communication
Gain the skills to identify digital innovation opportunities, transform business processes, and craft impactful human-AI solutions. Develop the expertise to manage digital disruptions and facilitate tech-enabled organisational change.
IS4108 AI Solutioning Capstone Project
Collaborate in small groups to tackle a complete solutioning lifecycle using agile methodologies, creating business AI solutions that integrate software and AI models seamlessly, and following industry best practices.
IS4246 Smart Systems and AI Governance
Learn to design and manage AI and smart systems that use AI and Machine Learning (ML) techniques and governance frameworks to improve product and service offerings in business across different industries.
IS4303 IT-Mediated Financial Solutions and Platforms
Explore how tech firms leverage IT advancements and regulatory shifts to transform the financial industry. Learn how innovative platforms unlock resources, reduce costs, and maximise returns for consumers and investors.
IS4401 Generative AI and Business Applications
Learn the foundations of generative AI and the techniques to build innovative generative AI applications for boosting productivity and creativity. Explore new business applications of generative AI as part of the solutioning process.
IS4402 Machine Learning with Unstructured Data
Master the art of harnessing unstructured data such as texts and images to uncover the “why” and “how” behind business phenomena. Learn to prepare, augment, and analyse big data using deep learning techniques.
What You Could Be
- AI/ML Engineer
- AI Ethics Compliance Officer
- Business Analyst
- Business Intelligence Developer
- Data Engineer
- DevOps Engineer
- Software Engineer
- Responsible AI Strategist
