Introduction
The MSc Data Science and Artificial Intelligence (MSc DSAI) is a postgraduate conversion degree designed for graduates from a wide range of disciplines who wish to develop career-ready skills in data science, artificial intelligence, and modern cloud-based technologies. At Hanbridge Institute, we are proud to deliver this programme in partnership with the University of Suffolk (UK). The MSc DSAI combines a strong theoretical foundation with extensive hands-on practice, enabling students to work confidently with Python, databases, cloud platforms, big data technologies, and advanced AI models.
Why Study MSc DSAI in Singapore?
Singapore is a leading hub for finance, technology and innovation, with strong national initiatives in AI, digital transformation and data-driven industries. Studying the MSc DSAI at Hanbridge Institute allows you to:
- Learn in a global tech environment: Gain exposure to real-world applications of AI and data science across sectors such as finance, logistics, healthcare and digital services.
- Build industry-relevant skills: Work with tools and platforms used in practice, including Python, SQL, cloud services and big data technologies.
- Enhance your career mobility: Develop a portfolio of practical work and a Masters Project that showcases your ability to solve real problems using AI and data science.
Course Overview
The MSc DSAI is structured around four 30-credit taught modules and a 60-credit Masters Project. Together, they provide a complete learning pathway from core programming and data management skills, through AI fundamentals and cloud computing, to deep learning and advanced AI techniques. Throughout the programme, students will:
- Gain proficiency in Python, SQL and relational databases for data-driven problem solving.
- Build a solid foundation in probability, statistics, machine learning and core AI concepts.
- Work with cloud computing and big data technologies, including NoSQL databases.
- Apply deep learning, generative AI and deep reinforcement learning to real-world tasks.
- Complete a substantial Masters Project, often using data or problem statements from industry or research partners.
The programme is offered on a full-time/part-time basis over 12 months, delivered in Singapore with the same academic standards as the University of Suffolk in the UK. Graduates receive a University of Suffolk award that is internationally recognised.
Course Structure and Modules
Fundamentals of AI and Data Science
This module provides an introduction to the artificial intelligence (AI) and data science fields, covering the history of AI and exploring a variety of fundamental topics, such as probability, statistics and machine learning. The curriculum is designed to equip you with a thorough understanding of these foundational techniques, enabling you to apply AI and data science methods to solve complex practical problems. The module also provides an opportunity to reflect on the ethical dimension of AI and data science and sets the stage for more advanced topics later in the course.
Introduction to Programming and Data Management
Python is a popular programming language used by scientists working in the fields of artificial intelligence and data science. SQL (Structured Query Language) is a language used to query data stored in a relational database where large datasets are organised across multiple interconnected tables. An understanding of Python, SQL and relational databases and how the three technologies can integrate with each other is essential for solving problems within artificial intelligence and data science. This module will cover the key elements of Python programming and build towards harnessing the standard Python libraries and packages to create solutions. Best practices of Python coding will be embedded throughout the module. Relational database design and the SQL language will also be covered to enable you to design and query datasets. You will also learn how to integrate all three technologies to create robust, data-orientated applications.
Cloud Computing for Big Data
The evolution of big data analytics has been significantly influenced by the advent of cloud computing. Historically, data analytics required substantial on-premises infrastructure, which was both costly and inflexible. However, with the emergence of cloud computing in the early 2000s, organisations gained the ability to process and analyse large datasets more efficiently and cost-effectively. This shift has enabled the rapid growth of big data analytics, transforming how businesses and researchers approach data-driven decision-making. This module provides a comprehensive grounding in cloud computing and NoSQL concepts and solutions, supported by extensive practicals to build experience in individual services and architectural designs. The module also delves into the integration of AI and machine learning within cloud ecosystems, offering data analysts the tools to derive deeper insights and drive innovation. As the University of Suffolk is an AWS Academy partner institution, the module will give you an opportunity to engage with AWS services and, if you wish, to prepare for relevant AWS certifications.
Deep Learning and Advanced AI Techniques
Recent advancements in computing power, large-scale datasets and key theoretical insights have propelled the development of deep learning techniques. These techniques have significantly improved accuracy in a variety of computational tasks, such as computer vision, natural language processing, speech recognition and autonomous driving, thereby making numerous applications feasible. This module provides an in-depth introduction to deep learning models, including their fundamental components and training processes. You will explore a range of deep neural architectures, including recurrent neural networks, convolutional neural networks and transformers, as well as other AI models derived from them such as generative AI and deep reinforcement learning.
Masters Project
The Masters Project is the culmination of the taught MSc degree. It is your opportunity to apply the knowledge and skills acquired from all the earlier modules to a substantial, extended piece of work. You will work on a large-scale project over an extended period of time. The project may be:
- research-oriented,
- based on data from an industry partner, or
- a project that you design yourself with the guidance of your project supervisor.
This module typically begins in the middle of the course so that you have ample time to develop a meaningful project. The final block of the course is dedicated solely to completing and presenting your Masters Project.
Programme Information
| Class Duration | Full-time: 12 Months Part-time: 12–15 Months |
|---|---|
| Class Hours | Full-time: Weekdays, 9am – 12pm, 2pm – 5pm Part-time: 3 weekday evenings (7pm – 10pm) and 1 weekend session (9am – 4pm) (Once enrolled, students will receive a timetable and are expected to follow it.) |
| Minimum Age | At least 20 years old at the point of application. |
| Academic Requirements | Applicants should meet one of the following:
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| English Proficiency | Applicants should meet one of the following:
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| Graduation Requirements | Students must complete all modules to be awarded the MSc DSAI. Early exit awards may apply; see Framework and Regulations for Taught Postgraduate Awards. |
Note: Applicants who do not meet the minimum English language proficiency requirement may undergo the Hanbridge Institute’s Test of English Proficiency (TELP) to ascertain their English level. Individuals who fail to meet the prescribed proficiency level will be required to register for the Certificate in Standard English Course offered by Hanbridge Institute.
About the University of Suffolk
The University of Suffolk (UOS) is a modern public university in the United Kingdom known for its strong emphasis on innovation, applied learning and close collaboration with industry. Established to meet the evolving needs of a future-ready workforce, the University combines the tradition of UK higher education with a contemporary, skills-focused approach to teaching and research.
The University of Suffolk is formally recognised and regulated by the UK Office for Students (OfS), the national body responsible for quality and standards in higher education. As an OfS-registered institution, UoS meets rigorous requirements in academic governance, student protection, teaching quality and graduate outcomes. The University has built a growing reputation for excellent student satisfaction and supportive learning environments, with particular strengths across computing, business, health sciences and the creative industries.
UOS maintains an active portfolio of research and industry partnerships across areas such as artificial intelligence, computing, digital transformation, sustainability, biotechnology and public policy. Its commitment to applied research ensures that academic programmes remain closely aligned to industry needs, and that graduates are equipped with the competencies demanded by modern employers.
The MSc Data Science and Artificial Intelligence is designed, awarded and quality-assured by the University of Suffolk. At Hanbridge Institute, the programme is delivered under the University’s established quality framework, including external examination, academic moderation, and oversight from the University’s academic boards. This ensures that teaching, assessment and academic standards in Singapore are fully equivalent to those at the University’s main campus in the UK.
Students enrolled in the MSc DSAI at Hanbridge Institute are registered as University of Suffolk students and enjoy access to UOS academic regulations, learning resources and support services. Upon successful completion of the programme, graduates receive the same UK-awarded Master’s degree as students studying in Ipswich or other UoS learning centres—an internationally recognised postgraduate qualification valued by employers and universities worldwide.
Course Fees
For the latest course fees, please refer to the Admissions Page.
