MTech Machine Learning & AI
Chichester, UK
Awarded by
University of Chichester, UK
Machine learning and intelligent systems mastery. 10 months, no exams.Advanced knowledge in AI, machine learning, and intelligent systems — with a focus on reinforcement learning, multimodal AI, and computational intelligence.
Ready to apply? Apply Online →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.
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
Is This Programme Right For You?
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.
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 Switchers into AI
Ambitious professionals from adjacent fields seeking to transition into high-demand machine learning and AI roles.
Programme Structure
Module 01
AI for Data-Driven Decision Intelligence
Explore how artificial intelligence and data-driven approaches can support informed decision-making, identify patterns in complex information and generate actionable insights.
Module 02
Intelligent Systems and Autonomous Agents
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
Multimodal Foundation Models and AGI Research AI and Large Language Models
Explore foundation models, large language models and multimodal AI systems, including their capabilities, applications and emerging research directions in artificial general intelligence.
Module 04
Risk Management, Governance, and Ethical AI
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
Advanced Algorithms and Computational Intelligence
Explore advanced algorithms and computational intelligence techniques used to solve complex problems, optimise processes and develop intelligent computational solutions.
Module 06
Human-Centred Computing and Intelligent Interfaces
Examine the design of intelligent interfaces and interactive systems, focusing on usability, accessibility, user experience and effective human–technology interaction.
Module 07
Capstone Project
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.
Expert Faculty
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
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
Doctor of Engineering, Darmstadt University of Technology, Germany- •Over 15 years of experience in academic programme supervision and higher education lecturing
- •Strategy & business transformation
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
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
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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