Awarded by
Chichester, UK
A full-time MTech for international students pursuing careers in machine learning and AI.
12 months
Duration
Weekday Classes
Classes
University of Chichester, UK
Awarded by
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.
Awarded by the University of Chichester, UK — globally recognised qualification
EduTrust certified institution
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.
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.
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.
Module 01
Explore how artificial intelligence and data-driven approaches can support informed decision-making, identify patterns in complex information and generate actionable insights.
Module 02
Examine the principles behind intelligent systems and autonomous agents, including how they perceive information, make decisions and perform tasks with varying levels of autonomy.
Module 03
Explore foundation models, large language models and multimodal AI systems, including their capabilities, applications and emerging research directions in artificial general intelligence.
Module 04
Understand approaches to managing AI-related risks, governance and ethical considerations, with an emphasis on responsible development, accountability and the use of intelligent technologies.
Module 05
Explore advanced algorithms and computational intelligence techniques used to solve complex problems, optimise processes and develop intelligent computational solutions.
Module 06
Examine the design of intelligent interfaces and interactive systems, focusing on usability, accessibility, user experience and effective human–technology interaction.
Module 07
Apply knowledge gained throughout the programme to an integrated project involving machine learning or intelligent systems, bringing together technical analysis, research and practical problem-solving.
Dr Tan Kian Hua
PhD, LIGS University
Dr Mohamed Noordin
PhD in Computer Science, Universiti Teknologi Malaysia
Dr Sia Eng Kee
Doctor of Engineering, Darmstadt University of Technology, Germany
Regional Head, CrowdStrike, Alumni, 2022
“Thank you Aventis Graduate School for organising great events for career opportunities in frontier technologies. The masters' programmes in these technologies especially the MSc in Cyber Security, are helping cyber professionals to grow in their careers.”
SecOps (Security Operations) Lead
Accenture SG · 2026 Cohort
“One of the strengths of the Master of Technology (Cyber Security and AI) awarded by the University of Chichester is its relevance to current industry challenges and emerging technologies. It provides a balanced combination of academic learning, practical application, and exposure to real-world cybersecurity and AI topics that are increasingly important across industries today.”
Booking.com
Current Student · 2026 Cohort
“As a working professional, balancing full-time work and frequent international travel was challenging, but Aventis Graduate School's flexible learning format made it possible to continue my education. The programme combined practical, industry-led teaching with valuable insights into AI governance and risk management, giving me knowledge that I could apply immediately when evaluating new technologies and making strategic decisions in my role.”
Meet any ONE of the following:
A Bachelor degree or equivalent Undergraduate Qualification in any discipline.
Graduate Diploma/Diploma or equivalent, with a minimum of 8 years working experience.
30 years old and above, with 8 years of working experience but without an academic qualification, will also be considered on a case-by-case basis.
Applicants must meet at least one of the following requirements:
GCE O Level English (C6 and above).
IELTS score of 5.5 or above.
For students who didn’t meet the language proficiency requirement, they will need to pass Aventis English Proficiency Test (EPT).
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.
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.
Application fees for full-time programmes are S$400 (excluding GST).
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