Course overview

Artificial Intelligence (AI) is a cornerstone of Singapore’s Smart Nation initiative, underpinned by sustained national efforts to build a digitally skilled workforce.

The government continues to invest significantly in AI education and workforce development, creating strong demand for professionals across sectors such as finance, healthcare, logistics, advanced manufacturing, and cybersecurity. The Bachelor of Science with Honours in Artificial Intelligence (Top-Up) programme from Coventry University, delivered in partnership with PSB Academy Singapore, is designed to meet this demand by providing a rigorous, industry-relevant education in core AI competencies.

Why you should study this course

This programme is a Level 6 top-up degree, offering direct entry to the final stage of study. It provides students with a focused and immersive experience in intelligent systems within a structured learning environment, covering essential artificial intelligence technologies such as machine learning, neural networks, robotics, intelligent agents, and security. The curriculum is designed to respond to rapid advancements in AI and its growing influence across multiple industries, ensuring graduates are equipped with the knowledge and skills required to thrive in a technology-driven economy.

Students engage with contemporary challenges and develop intelligent solutions through coursework that emphasises practical application, ethical inquiry, and collaborative learning. Unlike broader computing degrees, this programme concentrates on applied AI competencies, enabling students to build expertise in algorithmic modelling, autonomous systems, secure applications, and professional project management. The programme supports flexible learning pathways, making it particularly suitable for diploma holders, working professionals, and individuals seeking career transitions.

Through coursework-based learning, students gain experience with industry-standard tools and platforms, preparing them to contribute effectively to Singapore’s evolving digital economy. The programme also fosters critical thinking, ethical awareness, and continuous professional development, which are essential for success in the global AI workforce.

On successful completion, graduates will be well prepared for careers in roles such as machine learning engineer, data scientist, and robotics developer. With a globally recognised UK qualification and strong progression routes to postgraduate study, students are equipped to shape the future of intelligent technologies in Singapore and internationally.

What you'll study

The Bachelor of Science with Honours in Artificial Intelligence (Top-Up) is a Level 6 top-up degree developed by Coventry University in partnership with PSB Academy and delivered at PSB Academy’s Singapore campuses. It is designed to provide diploma holders and equivalent qualification holders with a progression pathway to an internationally recognised UK honours degree, while supporting Singapore’s Smart Nation initiative and addressing the growing demand for AI professionals in the digital economy.

The educational aims of the programme are to:

Provide advanced knowledge and skills: Equip students with a comprehensive understanding of artificial intelligence (AI), including machine learning, neural networks, deep learning, robotics, AI in cybersecurity, and ethical considerations in AI.
Respond to Singapore’s industry needs: Align learning outcomes with Singapore’s Smart Nation initiative and the national drive to develop a digitally skilled workforce, ensuring graduates are prepared for roles in sectors such as finance, healthcare, logistics, and advanced manufacturing.
Support flexible learning for professionals: Offer a structured yet flexible learning environment suitable for working adults and career switchers, leveraging PSB Academy’s blended delivery model and industry engagement.
Prepare for professional success: Develop graduates who can work effectively in AI-related roles within Singapore and globally, applying technical expertise, problem-solving skills, and professional judgement.
Enable academic progression: Provide a strong foundation for further study at postgraduate level, including Master’s and Doctoral programmes.
Foster multicultural and collaborative competence: Encourage students to work effectively in diverse teams, reflecting Singapore’s multicultural workforce and global industry practices.
Promote innovation and ethical practice: Instil the ability to design innovative AI solutions while adhering to professional, legal, and ethical standards.
Develop transferable skills: Enhance critical thinking, communication, teamwork, and independent learning skills to support lifelong employability.

Modules

Project Management - 20 credits

This module will provide you with a good understanding of key principles, concepts and theories in the field of Project Management. You should learn about key project management methodologies, practices and techniques and gain a good understanding of how they might be applied in real Information Technology and Business contexts.

Compulsory

Machine Learning - 20 credits

This module represents an introduction to the wide field of machine learning. It will present fundamental concepts related to supervised and unsupervised learning methods, for example linear regression, support vector machines, radial basis function, decision trees and random forests, clustering techniques and naïve Bayes classification models. You should learn the basics behind these methods and be able to analyse the outcomes of applying various machine learning algorithms on a set of data, together with techniques of processing such data. Applications related to these concepts will also be covered.

Compulsory

Security - 20 credits

This module introduces you to the concepts and practical considerations of creating and evaluating secure computer systems. Systems will be analysed at both the application level and at the level of interconnected devices in architectures such as client-server and cloud-based, with attention given to security-by-design, security legislation and regulation and the associated products and services.

Compulsory

Artificial Neural Networks - 20 credits

This module provides an introduction to the concepts used in neural networks and their application to solving real-world problems. The main topics covered in this module include biological motivations of neural networks, different approaches including the main supervised and unsupervised neural network architectures, static and temporal learning approaches, data collection and preparation methods for neural network learning, applications of neural networks, current trends and future developments.

Compulsory

Robots and Intelligent Agents - 20 credits

Individual Project (Artificial Intelligence)- 20 credits

The aim of this module is to provide an opportunity to research, design, implement and critically evaluate a functional or simulated system, object or concept and to acquire further knowledge in the Artificial Intelligence (AI) area. To this end, you will undertake a substantial project in AI which will exercise in-depth technical, problem solving, creative and other skills required of a professional practitioner. Successful completion of the project will require methodical planning, record keeping and self-management and effective communication, execution and delivery of an agreed artefact. Support and guidance will be provided by a project supervisor who will be the primary point of contact during the module.

Compulsory

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.

How you'll learn

Combining theory and practice, our course is designed to give you the opportunity to gain the practical skills and experience needed for your potential future career.

The Bachelor of Science with Honours in Artificial Intelligence (Top-Up) is a Level 6 top-up degree delivered over two trimesters and offered through three rolling intakes each year in March, July, and November. This flexible intake structure enables students to commence their studies at multiple entry points, supporting both full-time and part-time modes of study.

Each intake follows a two-trimester delivery pattern, during which students complete six modules (totalling 120 credits) across the academic year. The programme is designed to provide a balanced learning experience, combining taught modules with the Individual Project to ensure both theoretical understanding and practical application.

Full-time students typically complete the programme within 8 to 12 months, attending classes during the day (scheduled between 8:30 am and 6:30 pm). Part-time students generally complete the programme within 8 to 12 months, with classes scheduled in the evenings (between 7:00 pm and 10:00 pm) to accommodate working professionals.

Personalised timetables will be issued to students prior to the commencement of their studies. The delivery pattern is indicative and may be subject to change.

As an innovative and enterprising institution, the University may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the University may deliver certain contact hours and assessments via online technologies and methods.

Assessment

This Course conforms to the Standard University Undergraduate Regulations (Mode E) at PSB Academy Singapore.

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

Entry requirements

Contact PSB Academy

Fees and funding

Student	Full-time	Part-time
International	Contact PSB for fees per year	Not available

Careers and opportunities

On successful completion of the course a student will be able to:

Demonstrate a sound understanding of the main areas of artificial intelligence and security.
Critically analyse and apply essential concepts, principles and practices of the subject, showing effective judgement in the selection and use of related development tools and techniques.
Produce work involving problem identification, the analysis, the design or the development of a system, with appropriate documentation.
Demonstrate professional skills with an ability to show organised work both as an individual and as a team member.
Be creative and innovative in the application of the principles covered in the curriculum.
Apply appropriate practices within a professional, legal and ethical framework and identify mechanisms for continuing professional development and lifelong learning.
Contribute significantly to the analysis, design or the development of systems that are complex and secure, recognising the important relationships between these.
Exercise critical evaluation and review of both their own work and the work of others.

Further study

Data Science and Computational Intelligence MSc
Computer Science MSc
Advanced Software Engineering MSc
Cyber Security MSc

Please note that further study opportunities are subject to competitive application, availability, meeting any applicable visa requirements and additional costs may apply.

Artificial Intelligence BSc (Hons) top-up

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Course overview

Why you should study this course

What you'll study

Modules

How you'll learn

Assessment

Entry requirements

Fees and funding

Careers and opportunities

Further study

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Artificial Intelligence BSc (Hons) top-up

Course features

Location

Duration

Course code

Start date

Course overview

Why you should study this course

What you'll study

Modules

How you'll learn

Assessment

Entry requirements

Fees and funding

Careers and opportunities

Further study