MTech Computing & AI
Chichester, UK
Awarded by
University of Chichester, UK
AI and computing mastery for working professionals. 10 months, no exams.Cutting-edge skills in AI, computing, and data analytics — with a strong focus on data-driven decision intelligence, advanced algorithms, and AI integration.
Ready to apply? Apply Online →About This Programme
The Master of Technology (Computing and AI) at Aventis, awarded by the University of Chichester UK, equips you with cutting-edge skills in AI, computing, and data analytics. With a strong focus on data-driven decision intelligence, advanced algorithms, and AI integration, this programme develops your expertise to lead in technology-driven innovation.
Throughout the course, you gain practical experience and theoretical insight in AI systems, intelligent computing, and data analytics — combining applied learning with advanced methodologies to tackle real-world challenges.
Aventis collaborates with SGInnovate and AI Singapore, connecting graduates to a network of over 7,000 regional and global corporations.
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 & Computing Professionals
IT specialists, developers, and computing professionals looking to master AI systems, intelligent computing, and data analytics for leadership roles.
Software Engineers & Developers
Software engineers seeking a master's-level qualification to advance to senior AI engineering, solutions architecture, or autonomous systems development roles.
Career Switchers into AI
Ambitious professionals from adjacent fields seeking to transition into high-demand computing and AI roles.
Programme Structure
Module 01
AI for Data-Driven Decision Intelligence
Explore how artificial intelligence and data-driven approaches support decision-making, helping organisations interpret information, identify patterns and develop actionable insights.
Module 02
Network & Cloud Security with AI Applications
Examine network and cloud security principles, including how AI applications can support threat detection, security monitoring and the protection of digital environments.
Module 03
Cryptography, Blockchain, and Secure Systems
Understand the foundations of cryptography, blockchain technology and secure system design, with a focus on protecting information, ensuring integrity and supporting trusted digital transactions.
Module 04
Risk Management, Governance, and Ethical AI
Explore approaches to technology risk management, governance and responsible AI, including ethical considerations, accountability and the management of emerging digital risks.
Module 05
Advanced Algorithms and Computational Intelligence
Develop an understanding of advanced algorithms and computational intelligence techniques used to address complex problems, optimise processes and support intelligent systems.
Module 06
Human-Centred Computing and Intelligent Interfaces
Explore the design of intelligent digital interfaces with a focus on human needs, usability, accessibility and effective interaction between people and technology.
Module 07
Capstone Project
Apply knowledge developed throughout the programme to an integrated project addressing a relevant computing and AI challenge, bringing together technical understanding, analysis 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
- •Cybersecurity & AI 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, Data Scientist, AI Solutions Architect, and Autonomous Systems Developer.
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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