Aventis Graduate School
MTech Machine Learning (Full-Time)
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Awarded by

Chichester, UK

MASTER'S DEGREE · FRONTIER TECH

MTech Machine Learning

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

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Programme at a Glance
Next Intake
Oct 2026
Duration
12 months
Study Mode
Full-Time
Schedule
Weekday Classes
Assessment
100% Coursework, No Exams
Programme Overview

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.

UK
Awarded Degree
12 months
Programme Duration
100%
Coursework Based
45+
Countries Represented
Accreditation & Recognition

Why This Programme

Awarded by the University of Chichester, UK — globally recognised qualification

EduTrust certified institution

Ideal Candidate

Is This Programme Right For You?

ASPIRING ML ENGINEERS

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.

CAREER SWITCHERS

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.

INTERNATIONAL STUDENTS

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.

Curriculum

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.

Faculty

Expert Faculty

Dr Perumal Maheason

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 Sia Eng Kee

Dr Sia Eng Kee

Doctor of Engineering, Darmstadt University of Technology, Germany
  • •Over 15 years of experience in academic programme supervision and higher education lecturing
  • •Strategy & business transformation
Professor Malick Sy

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
Alumni

Graduate outcomes

Mr. Ajay Kumar

Mr. Ajay Kumar

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.”
Mr. Narayanan Rangasamy

Mr. Narayanan Rangasamy

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.”
Oliver Winther

Oliver Winther

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.”
Discover more success stories
Entry

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

01

Submit your application

Complete the online application form and upload your NRIC or passport, academic certificate and CV. It takes about 10 minutes.

02

Receive a conditional offer

Our admissions team reviews your profile and a programme consultant contacts you within 3 working days.

03

Confirm your enrolment

Accept your offer, settle your fees using a payment plan that suits you, and secure your place in the next intake.

FAQs

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.

Application fees for full-time programmes are S$400 (excluding GST).

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