MTech Machine Learning
Chichester, UK
Awarded by
University of Chichester, UK
A full-time MTech for international students pursuing careers in machine learning and AI.A full-time MTech in Machine Learning & Intelligent Systems for international students pursuing careers in AI research, ML engineering, and intelligent systems development.
Ready to apply? Apply Online →About This Programme
The full-time MTech in Machine Learning & Intelligent Systems at Aventis, awarded by the University of Chichester, is designed for international students who want to build deep expertise in machine learning, intelligent systems, and AI research.
The programme covers advanced machine learning, deep learning, natural language processing, and intelligent systems design — equipping graduates for careers in AI research labs, technology companies, and data-driven organisations.
Singapore is Asia's leading AI hub, making it an ideal location to study machine learning and build a career at the forefront of artificial intelligence.
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, or AI graduates seeking to specialise in machine learning and intelligent systems and build careers in AI research labs, technology companies, or data-driven organisations.
Aspiring AI Researchers
Early-career data scientists or software engineers seeking to advance into machine learning research, AI product development, or intelligent systems engineering with a globally recognised UK MTech.
Future AI Innovators
International students aged 20–28 seeking a Singapore-based MTech in Machine Learning that combines a UK-awarded qualification with deep expertise in neural networks, NLP, and intelligent systems.
Programme Structure
Module 01
Advanced Machine Learning
Master advanced machine learning algorithms, ensemble methods, and model optimisation techniques.
Module 02
Deep Learning & Neural Architectures
Build expertise in deep learning architectures including CNNs, RNNs, transformers, and generative models.
Module 03
Natural Language Processing
Develop skills in NLP, text analytics, large language models, and conversational AI systems.
Module 04
Intelligent Systems Design
Understand the design and implementation of intelligent systems, autonomous agents, and decision-making systems.
Module 05
AI Research Methods
Develop research skills for AI investigation, experimental design, and academic publication.
Module 06
Capstone: ML Research Project
Apply your MTech learning to an original machine learning research challenge through an independent 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
- •Machine learning & AI
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 Machine Learning 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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