MTech Machine Learning & AI
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Master's Degree · Frontier Tech

MTech Machine Learning & AI

University of Chichester, UK

Chichester, UK

Machine learning and intelligent systems mastery. 10 months, no exams.

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Programme at a Glance
Next Intake
Oct 2026
Duration
10 months
Study Mode
Part-Time
Schedule
Weekend Classes
Assessment
Coursework
Established Since 2007
Over 18 years of excellence
100,000+ Learners
Empowering professionals
EduTrust Certified
Quality-assured education
UK University Partner
Internationally recognised
Programme Overview

About This Programme

The Master of Technology in Machine Learning & Intelligent Systems at Aventis, awarded by the University of Chichester UK, equips you with advanced knowledge in AI, machine learning, and intelligent systems. With a focus on reinforcement learning, multimodal AI, and computational intelligence, this programme prepares you for leadership roles in AI-driven industries.

The programme covers autonomous agents, foundation models, adversarial AI, and threat intelligence — combining applied learning with advanced methodologies. Aventis collaborates with SGInnovate and AI Singapore, connecting graduates to a network of over 7,000 regional and global corporations.

Delivered in Singapore on weekends, the programme is 100% coursework-based with no examinations.

Top 30
UK Universities (Guardian 2026)
SGInnovate
Industry Partner
10 months
Programme Duration
AI Singapore
Industry Partner
Accreditation & Recognition

Why This Programme

University of Chichester ranked Top 30 UK Universities — Guardian University Guide 2026

Ranked Top 20 UK Universities for Producing Business Leaders and CEOs

University of the Year for Teaching Excellence 2026 — Daily Mail's University Guide

Industry partnerships: SGInnovate and AI Singapore

AACSB Business Education Alliance member

Ideal Candidate

Is This Programme Right For You?

UP-SKILL

IT & Data Science Professionals

IT specialists, developers, and data scientists looking to master machine learning, intelligent systems, and AI for leadership roles in technology-driven organisations.

ADVANCE YOUR CAREER

Engineers & AI Developers

Software engineers and AI developers seeking a master's-level qualification to advance to senior ML engineering, AI research, or autonomous systems development roles.

CAREER SWITCH

Career Switchers into AI

Ambitious professionals from adjacent fields seeking to transition into high-demand machine learning and AI roles.

Curriculum

Programme Structure

Module 01

AI for Data-Driven Decision Intelligence

Introduces principles and applications of data-driven AI for strategic decision-making.

Module 02

Intelligent Systems and Autonomous Agents

Explores the design, development, and deployment of intelligent autonomous agents.

Module 03

Multimodal Foundation Models and AGI Research / AI and Large Language Models

Explores large-scale foundation models including LLMs and multimodal AI systems.

Module 04

Risk Management, Governance, and Ethical AI

Covers security risks, vulnerabilities, and controls across modern network and cloud computing environments.

Module 05

Advanced Topics in Adversarial AI and Defence Strategies

Examines adversarial threats targeting AI systems and the strategies used to defend against them.

Module 06

AI for Threat Intelligence and Malware Analysis

Applies AI and machine learning techniques to threat intelligence and analysis.

Module 07

Capstone Project

An independent applied industry project or research-based dissertation addressing a complex real-world challenge in AI, machine learning, or intelligent systems.

Faculty

Expert Faculty

Dr Tan Kian Hua

Dr Tan Kian Hua

PhD, LIGS University
  • Chief Information Security Officer at Lenovo PCCW Solutions; CIPP, CIPM, FIP, CISM, CISA certified
  • AI systems & governance
Dr Mohamed Noordin

Dr Mohamed Noordin

PhD in Computer Science, Universiti Teknologi Malaysia
  • Director (APAC) at Reversec, a global cybersecurity firm, responsible for driving growth across the ASEAN region spanning advisory consulting and security assurance testing.
  • Cybersecurity & risk
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
Entry

Admission requirements

Academic requirements

Meet any ONE of the following:

Bachelor's degree in any discipline from a recognised university

Graduate Diploma or Diploma qualification plus a minimum of 8 years' relevant work experience

Candidates aged 30 or above with a minimum of 8 years' work experience (assessed case-by-case)

English language requirements

Meet any ONE of the following:

GCE O Level English (C6 and above)

IELTS 5.5 or above

Aventis English Proficiency Test (EPT) — for applicants who do not meet the above requirements

General eligibility requirement

  • Minimum age: 21 years old 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

No. The programme is open to graduates from any discipline.

Graduates pursue roles including Machine Learning Engineer, AI Researcher, Autonomous Systems Developer, and Intelligent Systems Engineer.

No. The programme is 100% coursework-based with no written examinations.

Classes are held on weekends (Saturday and Sunday, 9am–5pm). Zoom recordings are available for every session.

Aventis offers flexible payment plans including 4-instalment schedules aligned with intake terms.

Application fees for part-time programmes are S$200 (excluding GST) and are non-refundable.

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