MSc Data Science & Artificial Intelligence (University of Suffolk, UK)

MSc Data Science & Artificial Intelligence
(University of Suffolk, UK)

The Master of Science in Data Science and Artificial Intelligence (MSc DSAI) is a postgraduate taught degree awarded by the University of Suffolk (United Kingdom) and delivered at Hanbridge Institute in Singapore.

This is a conversion master’s programme designed for graduates who may not have a computing background but wish to become specialists in AI and data science. Through four taught modules and a capstone master’s project, students build end-to-end capabilities across programming, databases, cloud computing, big data technologies, deep learning and advanced AI techniques.

Programme Overview

  • Awarding institution: University of Suffolk, United Kingdom
  • Teaching institution: Hanbridge Institute, Singapore
  • Duration: 12 months full-time or part-time
  • Mode of delivery: Face-to-face classroom teaching (300 contact hours)
  • Intakes: January, May and September (3 semesters of 4 months each)
  • Study schedule:
    5 days/week, 3 hours/day (full-time) or 3 days/week, 3 hours/day (part-time)
  • Location: Hanbridge Institute campus, 456 Alexandra Road, Singapore

Why This Programme?

The MSc DSAI equips students to evaluate, design and implement modern AI and data-driven solutions.
Graduates will be able to:

  • Understand AI and data science theory, tools and architectures at an advanced level.
  • Combine research, theory and practice to build robust software and computational solutions.
  • Work with both structured and unstructured data using relational and NoSQL databases and cloud platforms.
  • Apply deep learning and other advanced AI techniques responsibly, with attention to ethics, privacy and societal impact.
  • Communicate technical insights clearly to both technical and non-technical audiences.

These programme outcomes are aligned with the core graduate capabilities defined by the University of Suffolk for this degree.

Programme Structure and Modules

The MSc DSAI consists of five core modules with a total of 180 UK credits: four taught modules (30 credits each) and a 60-credit master’s project.

1. Introduction to Programming and Data Management (30 credits)

Students learn the fundamentals of Python programming, core data structures, and relational database design and SQL querying. The module emphasises how Python, SQL and databases can be integrated into complete data processing workflows for data science and AI applications.

2. Fundamentals of AI and Data Science (30 credits)

This module introduces key concepts in artificial intelligence and data science, including commonly used models, statistical methods, model evaluation and interpretation, alongside ethical and privacy considerations in AI.

3. Cloud Computing for Big Data (30 credits)

Focusing on cloud architectures for big data, this module covers major cloud platforms and database architectures, including Amazon Web Services (AWS) and NoSQL technologies. Students learn how to design and evaluate cloud-based solutions for large-scale, structured and unstructured datasets, and how to secure and govern data in the cloud.

4. Deep Learning and Advanced AI Techniques (30 credits)

This module covers the theory and practice of deep neural networks and modern AI techniques, including convolutional and recurrent architectures, transformer-based models, generative approaches and deep reinforcement learning. Students design and implement deep learning solutions and  examine their ethical and societal implications.

5. Masters Project (60 credits)

The programme concludes with an independent master’s project, where students apply the knowledge and skills gained during the course to a substantial research or applied project in AI or data science. The project includes problem definition, methodological design, system implementation and evaluation, and is assessed by a written dissertation of 10,000–12,000 words and an oral presentation.

Study Modes: Full-Time and Part-Time

The programme is available on both a full-time and part-time basis over 12 months:

  • Full-time: 5 days per week, 3 hours per day (total 300 contact hours).
  • Part-time: 3 days per week, 3 hours per day (total 300 contact hours).

This flexible structure allows recent graduates and working professionals to choose a study mode that best fits their schedule.

Entry Requirements

Minimum age: 20 years old at the point of application.

Academic requirements (meeting one of the following):

  • A recognised bachelor’s degree (minimum 2:2 classification) or a graduate-level professional qualification; or
  • A Higher National Certificate/Diploma (HNC/HND) or equivalent, with at least 8 years of work experience and normally aged 30 or above; or
  • A three-year diploma with substantial relevant managerial experience, or other qualifications assessed as equivalent for admission to the MSc DSAI.:contentReference[oaicite:20]{index=20}

English language requirements (meeting one of the following):

  • IELTS (Academic/UKVI) 6.5 overall, with at least 5.5 in each component; or
  • Grade C6 or better in English at Singapore GCE ‘O’ Level; or a Pearson Test of English (PTE Academic) score of 62 overall with a minimum of 59 in each component; or another English test accepted by the University of Suffolk;
  • Hanbridge Institute English Proficiency Test, with bridging via the Certificate in Standard English if the required level is not met.

    Who Should Apply?

    This programme is suitable for:

    • Recent graduates from non-computing disciplines who wish to transition into data science and AI.
    • Professionals seeking to upgrade their skills in programming, data engineering, cloud technologies and modern AI.
    • Applicants aiming for data-driven roles such as data scientist, machine learning engineer, AI engineer, data analyst or related positions.

    How to Apply

    Applicants should prepare their academic transcripts and certificates, English language results (if any), CV and relevant supporting documents. A detailed checklist and step-by-step application process are available through Hanbridge Institute’s Admissions Office.

    For enquiries about the MSc Data Science & Artificial Intelligence (University of Suffolk) at Hanbridge Institute, please feel free to contact us!