MTech Data Science
Chichester, UK
Awarded by
University of Chichester, UK
A full-time MTech for international students pursuing careers in data science and AI.A full-time MTech in Data Science & AI for international students pursuing careers in data science, machine learning, and AI product development.
Ready to apply? Apply Online →About This Programme
The full-time MTech in Data Science & AI at Aventis, awarded by the University of Chichester, is designed for international students who want to build expertise in data science, machine learning, and artificial intelligence.
The programme covers data analytics, machine learning, deep learning, and AI applications — equipping graduates for careers in technology companies, financial services, healthcare, and government agencies.
Singapore is Asia's leading data and AI hub, making it an ideal location to study data science and build a career in the technology sector.
Why This Programme
Awarded by the University of Chichester, UK — globally recognised qualification
EduTrust certified institution
Is This Programme Right For You?
Fresh Computing & STEM Graduates
Recent computing, mathematics, statistics, or engineering graduates seeking to specialise in data science and AI and build careers in technology companies, financial services, or healthcare.
Aspiring AI Professionals
Early-career professionals from any technical background seeking to pivot into data science, machine learning, or AI product development with a globally recognised UK MTech.
Future Data Scientists
International students aged 20–28 seeking a Singapore-based MTech in Data Science & AI that combines a UK-awarded qualification with hands-on skills in machine learning, deep learning, and AI applications.
Programme Structure
Module 01
Data Analytics & Visualisation
Master data analysis techniques, statistical methods, and data visualisation tools for business insights.
Module 02
Machine Learning & Predictive Modelling
Build expertise in machine learning algorithms, predictive modelling, and model evaluation.
Module 03
Deep Learning & Neural Networks
Develop skills in deep learning architectures, neural networks, and AI model development.
Module 04
Big Data & Cloud Computing
Understand big data technologies, cloud platforms, and distributed computing for large-scale data processing.
Module 05
AI Applications & Ethics
Explore real-world AI applications across industries and the ethical considerations of AI deployment.
Module 06
Capstone: Data Science Research Project
Apply your MTech learning to a real data science challenge through an independent research project.
Expert Faculty
Dr Perumal Maheason
Doctor of International Trade – Canterbury University- •Subject Matter Expert with over 20 years of professional experience in supply chain management and logistics
- •Data science & technology
Dr James Kwan
PhD Accounting and Finance, University of Western Australia- •Over 20 years of financial leadership experience in finance, including nearly 10 years as Lead Independent Director of two SGX-listed companies.
- •Executive & leadership coaching
Professor Malick Sy
PhD in Economics and Finance- •Professor of Finance at the Royal Melbourne Institute of Technology (RMIT) and Visiting Professor at the City University of New York (USA)
- •Finance & corporate strategy
Admission requirements
Academic requirements
Meet any ONE of the following:
Bachelor's degree in any discipline from a recognised university
Diploma qualification plus a minimum of 3 years' relevant work experience
Candidates aged 25 or above with relevant professional experience may be considered on a case-by-case basis
English language requirements
Meet any ONE of the following:
English as First Language: Applicants whose first language is English.
English Proficiency Qualification: IELTS 6.0 or above, TOEFL iBT 79 or above, or equivalent.
Previous Degree Taught in English: Applicants who completed their previous qualification in English may be exempt, subject to assessment.
General eligibility requirement
- Minimum age: 21 years at the time of application
How to Apply
Submit your application
Complete the online application form and upload your NRIC or passport, academic certificate and CV. It takes about 10 minutes.
Receive a conditional offer
Our admissions team reviews your profile and a programme consultant contacts you within 3 working days.
Confirm your enrolment
Accept your offer, settle your fees using a payment plan that suits you, and secure your place in the next intake.
Frequently asked questions
This full-time MTech Data Science is designed for international students, fresh graduates, and early-career professionals who want to immerse themselves in their field of study in Singapore and fast-track into professional roles.
A bachelor's degree from a recognised university is the standard entry route. Mature candidates with relevant work experience may also be considered.
Yes. This programme is awarded by a UK university — a globally recognised qualification.
Full-time classes are held on weekdays, allowing you to focus entirely on your studies and career development.
Flexible payment plans are available. Please download the programme brochure or speak with an adviser for details.
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