Master of Technology
(Machine Learning and Intelligent Systems)
(E-Learning)

Start Date

Apr 2026

Duration

10 Months (Part- Time)

Mode

Weekend Classes + Zoom Recordings

Assessment

Coursework

WhatsApp

Ms Hazel 8479 1137

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Master of Technology (Machine Learning and Intelligent Systems) (E-Learning)

Awarded by Chichester University (UK)

Course Overview

Step into the rapidly advancing world of Machine Learning and Intelligent Systems.

The Master of Technology in Machine Learning & Intelligent Systems equips students with advanced knowledge and practical skills in AI, machine learning, and intelligent systems, preparing you for leadership roles in cutting-edge industries. With a strong focus on reinforcement learning, multimodal AI, and computational intelligence, this programme develops your expertise to design and implement intelligent, autonomous systems.

Throughout the course, you will gain both theoretical insight and hands-on experience, learning to build AI-driven systems that can adapt, learn, and perform complex tasks. 

Ranked Top 30*

Universities in the UK
(Guardian University Guide 2026)

Ranked Top 20*

UK Universities in Producing Business Leaders & CEOs
(Novuna Business Cash Flow)

University of The Year*

For Teaching Excellence 2026
(Daily Mail's University Guide)

Career Opportunities

The demand for skilled professionals in Machine Learning and Intelligent Systems is growing rapidly, as businesses and organisations harness these advanced technologies to drive innovation, improve efficiency, and gain a competitive edge. With a Master of Technology in Machine Learning & Intelligent Systems, you will be equipped to explore diverse career opportunities across a wide range of industries, including technology, finance, healthcare, and automotive.

Aventis collaborates with SGInnovate and AI Singapore, organisations that connect you to a network of over 7,000 regional and global corporations offering go-to-market support, joint product development opportunities, and investment funding. 

Our Graduates Work At:

Extensive Networking Opportunities:

Assistant Vice President

Assistant Vice President, Cyber Security

Associate Director

Chief Information Officer

Cryptographer & Blockchain

Cyber Security Specialist

Cyber SOC Infrastructure Team Lead

Data Centre Manager

Digital Forensics Expert

Director of Information Technology

Finance Operation Executive

Founder & Principal Consultant

Global Repair Supplier Manager

Head APAC Service Operations, VP

Head of Department ICT

Head of IT Infrastructure

Head of Operations

Head, Tech & Innovation

ICA Specialist

Incident Responder

Information Security Analyst

IT Consultant

IT Coordinator, Asia Pacific

IT Security Manager

Manager, IT Security (APEC)

Principal Consultant / Director

Principal Security Advisor

Regional Head – Services

Security Analyst Director

Security Consultant

Security Solution Architect

Security Solution Designer

Senior Consultant

Senior Development Specialist

Senior Information Security Analyst

Senior Infrastructure Engineer

Senior Investigation Investigation

Senior Network Engineer

Senior Security Consultant

Senior Solution Designer

Senior Tech Support Engineer

System Administrator

System Engineer

Systems Analyst

Technical Team Leader

Trainer & Lecturer

Vice President, IT Production

Aventis Frontier Tech Event:

There are many career opportunities in the field of computing and AI, including:

  • Machine Learning Engineer: Designs, develops, and optimises machine learning models to solve complex problems and enable intelligent applications.
  • AI Researcher: Conducts research to advance AI technologies, exploring new algorithms, models, and applications for real-world impact.
  • Data Scientist: Analyses large and complex datasets to generate insights, build predictive models, and support data-driven decision-making.
  • AI Solutions Architect: Designs and integrates AI systems and frameworks, ensuring they align with business goals and technical requirements.
  • Autonomous Systems Developer: Builds and deploys intelligent systems capable of operating autonomously in dynamic, real-world environments.
  • Intelligent Systems Engineer: Develops AI-driven systems that combine machine learning, data analytics, and computational intelligence for practical applications.
  • Natural Language Processing (NLP) Specialist: Designs and implements NLP models to enable machines to understand, interpret, and generate human language.
  • Robotics Engineer: Designs, develops, and programs robotic systems that perform automated or intelligent tasks across various industries.
Singapore Cyber Security Masters

Growth by Sector

Cyber Security Masters Sg

Rewarding Careers

Who Should Attend?

The Master of Technology (Machine Learning & Intelligent Systems) is a rigorous and industry-relevant programme designed for professionals seeking to advance their careers in today’s rapidly evolving fields of machine learning, AI, and intelligent systems.

Professionals who should consider studying a Master of Technology include:

  • IT professionals looking to specialise in machine learning, AI, and intelligent systems
  • Engineers, developers, and data scientists seeking to expand their skills in reinforcement learning, multimodal AI, autonomous systems, and advanced computational intelligence
  • Individuals interested in pursuing careers in roles such as machine learning engineer, AI researcher, autonomous systems developer, or intelligent systems engineer
  • Professionals aiming to stay current with the latest trends and technologies in AI, intelligent systems, and data-driven decision intelligence

It is important to note that having a keen interest in machine learning, AI technologies, and problem-solving are critical traits for success in this field.

Why Choose Aventis ?

Gain access to a top-notch education built on Aventis' 15 years of excellent success in the graduate education market. Earn a degree from a graduate programme you can appreciate and trust.

Sg Cyber Security Masters

Aventis is one of only 4 Business Schools in Singapore that is a member of the Executive MBA Council, the World’s Leading Body that champions advancement in MBA. Other members include the National University of Singapore, (NUS), Singapore Management University (SMU), and Nanyang Technological University (NTU)

Masters In Cyber Security Singapore

Aventis is one of only 8 Business Schools in Singapore that is part of the AACSB International Business Education Alliance. Other members include the Singapore University of Social Science (SUSS), the National University of Singapore (NUS), and Singapore Management University (SMU)

Programme Structure

The Master of Technology (Machine Learning and Inteligent Systems) programme in Singapore comprises of 6 core modules, culminating in a capstone project. The programme is done on a modular basis, structured to complement and accommodate global professionals and managers’ busy commitments.

This is a 100% coursework-based programme.

Programme Delivery

Each module runs over two consecutive weekends per month: Saturdays and Sundays from 9 am to 5 pm. Classes include Zoom recordings for your reference, complemented by course support, additional readings, and resource materials.

Start Date

Apr 2026

Duration

10 Months (Part Time)

Time

09:00am - 05:00pm

Sat - SunSat - Sun
9am to 5pm9am to 5pm

What Will You Learn?

This programme develops the skills and insight needed to lead in machine learning and intelligent systems environments. You will gain expertise in designing autonomous AI systems, applying reinforcement learning and multimodal AI techniques, and solving complex problems, while understanding the strategic, ethical, and organisational considerations that underpin effective AI-driven decision-making in today’s connected world.

AI for Data-Driven Decision Intelligence

This module provides learners with a comprehensive understanding of network and cloud security, emphasising the use of AI for threat detection, monitoring, and incident response. Learners will analyse vulnerabilities, design AI-driven security solutions, and evaluate their effectiveness, with assessment through a case study report and a project-based implementation.z

Intelligent Systems and Autonomous Agents

This module explores the design, development, and deployment of intelligent autonomous agents for real-world applications. Learners will build and simulate agent-based models, apply reinforcement learning to adaptive systems, and evaluate their ethical, operational, and societal impacts, with assessment through a simulation project and a case study report.

Multimodal Foundation Models and AGI Research AI and Large Language Models

This module explores large-scale foundation models, including large language models (LLMs) and multimodal AI systems, and their practical applications. Learners will analyse model architectures, evaluate capabilities and limitations, and examine ethical and societal implications, with assessment through a case study and a presentation.

Risk Management, Governance, and Ethical AI

This module equips learners with an in-depth understanding of security risks, vulnerabilities, and controls across modern network and cloud computing environments, with a strong focus on the use of artificial intelligence (AI) for threat detection, security monitoring, and incident response. Learners will analyse common attack vectors affecting networked and cloud infrastructures, explore AI-driven tools for intrusion detection and security analytics, and examine how secure architectures can be designed to integrate AI-enabled security mechanisms that enhance organisational cyber resilience in complex digital ecosystems.

Advanced Algorithms and Computational Intelligence

This module explores advanced computational methods for AI, including evolutionary algorithms, optimisation techniques, and metaheuristics. Learners will implement and evaluate algorithms to solve complex, high-dimensional problems, emphasising efficiency, scalability, and real-world application. Assessment comprises a coding project and an applied report.

Human-Centred Computing and Intelligent Interfaces

This module explores AI-enabled human–computer interaction (HCI) and intelligent user interfaces, focusing on human-centred design, usability, and accessibility. Learners will design and evaluate intelligent interfaces that enhance trust and engagement, with assessment through an interface design project and a usability study report.

Capstone Project

The Capstone Project is the culminating component of the Master of Technology programme, allowing students to integrate knowledge and skills from all modules into a substantial applied or research-based investigation. Learners undertake an industry-focused project or dissertation in AI, cybersecurity, or digital innovation, demonstrating independent analysis, practical problem-solving, and professional communication, with assessment via a comprehensive final report.

Expert Faculty

Meet the expert faculty guiding your success.

Dr Tan Kian Hua

PhD, LIGS University

  • Highly credentialed cybersecurity and data protection professional, holding CIPP, CIPM, FIP, CISM, CISA, CDPSE, and CEH certifications
  • Chief Information Security Officer at Lenovo PCCW Solutions (LPS), a global telecommunications and IT solutions provider with over 20,600 employees worldwide
  • Advisory Board Member at the Institute of Engineering & Management (IEM), with over 15 years of experience in technology consultancy, cybersecurity governance, and risk management
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.
  • Former Director of Cyber Security and IT at Circles.Life, Asia’s first fully digital telco, with over 20 years of experience across cybersecurity, IT audit, risk management, compliance, investigation, and forensics.
  • Vice-Chairperson, Board of Directors at AMP Singapore, and Chairman of the Digital and Technology Strategy Committee, providing strategic leadership in digital and cybersecurity governance.
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
  • Experienced Head of School and Dissertation Supervisor, with strong leadership in academic governance and research oversight
  • Professional consultant providing technical and strategic advisory services to companies across the region
Mr Ronald Shiftlet

Dr Ronald Shiflet

Master in Technology, DePaul University

  • Director and Senior Lecturer at Secure Knowledge LLP, where he leads cybersecurity consulting, curriculum development, and professional training initiatives
  • Brings over 20 years of industry experience in information technology across Europe and Asia
  • Extensive expertise in digital forensic investigations, anti-forensics, penetration testing, mobile and network forensics, vulnerability and risk assessments, and red team–blue team security exercises
Mr Tan Kwang Hwee (Victor)

Dr Tan Kwang Hwa (Victor)

Master of Science in Biomedical Engineering, Nanyang Technological University

  • Data Specialist with a Master’s degree in Biomedical Engineering, combining deep technical expertise with strong business and management acumen.
  • Experienced Professional Engineering practitioner with over 18 years of track record across operations, data analytics, and technology-driven environments.
  • Demonstrates strong capabilities in operations management and the strategic implementation of emerging technologies.
Mr Alvin Lam

Mr Alvin Lam

MBA, Murdoch University

  • Holds advanced professional certifications and executive education credentials in AI, cybersecurity, blockchain, and digital strategy, including programmes from MIT Sloan, Saïd Business School (University of Oxford), IBM, and EC-Council.
  • Co Founder of AI Vision Fund with over 15 years of experience in championing Technology initiatives in ITIL (IT Service Management), digital transformation, and cybersecurity management.
  • Extensive hands-on experience across Red Hat Enterprise Linux, networking, Microsoft Server and data centre infrastructure, as well as virtualisation and cloud computing.

Admission Criteria

You are expected to actively contribute to the class learning experience in a collaborative learning environment with your peers and cohort. All candidates will be assessed based on their working experience and merits. The minimum age requirement to apply for this programme is 21 years old.

A Bachelor degree or equivalent Undergraduate Qualification in any discipline, or;

OR

Graduate Diploma/Diploma or equivalent, with a minimum of 8 years working experience, or

OR

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

Language Proficiency

  • GCE O Level English (C6 and above); or
  • IELTS score of 5.5 or above; or
  • For students who didn’t meet the language proficiency requirement, they will need to pass Aventis English Proficiency Test (EPT)

Degree Awarded

You will be awarded a Master of Technology in Machine Learning and Intelligent Systems.

Success Stories

Masters In Cyber Security Sg
"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. Ajay Kumar
Regional Head, CrowdStrike, Alumni, 2022
"Thanks to my lecturers, mentors and to my classmates. I enjoyed the experience of going back to school after so many years, especially our classroom sessions despite the pandemic. The distinction is a bonus! I will study again when I get the chance."
Mr. Christian Macatulad
Information Systems Security Analyst, INTERPOL, Alumni, 2022

Frequently Asked Questions

What are the benefits of pursuing a part-time master’s?

One of the key benefits of pursuing a part-time master’s degree is the flexibility to continue working while studying. At Aventis, most of our students are working professionals. Our part-time master’s programmes in Singapore are designed to support career progression without requiring you to pause your professional commitments.

You’ll also have the flexibility to study at your own pace, apply what you learn directly to your job, and build a strong professional network alongside your academic journey.

Does a part-time master’s help in career and salary?

Earning a master’s degree can certainly enhance your career prospects and increase your earning potential. According to a survey by the Graduate Management Admission Council (GMAC), the median base salary for recent master’s graduates in the United States was USD 115,000 in 2020, compared to USD 85,000 for those with only a bachelor’s degree.

However, the impact of a master’s on salary depends on various factors, including your industry, job function, and geographic location. Beyond the potential for salary growth or promotion, a master’s degree also equips you with valuable skills and specialised knowledge that can be applied across industries, making you a stronger candidate for leadership or high-paying roles.

That said, a master’s programme can be a significant financial and time investment. It’s important to weigh the potential return on investment based on your career goals and personal circumstances before committing.

What is the difference between a part-time master’s and a full-time master’s?

A full-time master’s is typically completed over one to two years and follows a more intensive academic schedule. It is ideal for students who can commit to studying full-time without work commitments, as the programme is structured for weekday classes and faster progression.

A part-time master’s, on the other hand, offers greater flexibility, allowing students to continue working while studying. While it may take longer to complete — typically two to three years in Singapore — it allows for a better balance between work, study, and personal life. Part-time programmes are often structured around evenings or weekend classes, making them suitable for professionals seeking to upskill without pausing their careers.

Why should I pursue a part-time master’s in Singapore with Aventis–University of West London?

Pursuing a part-time master’s with Aventis and the University of West London offers a flexible and rewarding academic experience tailored for working professionals. UWL is ranked among the top 100 universities in the UK for the overall quality of its research, reflecting a strong academic foundation.

The UWL master’s programmes are designed to sharpen your expertise in business and leadership, equipping you with the practical knowledge and global perspective needed to thrive in today’s competitive landscape, all while allowing you to balance work, study, and personal commitments.

Is there a maximum age limit to apply for a master’s degree?

There is no maximum age limit for applying to a master’s degree. Most programmes welcome individuals of all ages, including older adults, as long as they meet the academic and admission requirements.

Master’s programmes are often designed for professionals with varying levels of experience. Many students are mid-career professionals or senior executives looking to advance their careers, change industries, or pursue personal development. If you’re considering a master’s degree for professional growth or personal enrichment, age should not be a barrier.

Should only individuals interested in leadership roles take up a master’s degree?

Not at all. A master’s degree is a versatile qualification with a wide range of specialisations and applications across various professional fields. While it can certainly prepare individuals for leadership roles, it is equally valuable for those seeking to deepen their expertise, switch careers, or gain specialised knowledge.

Individuals from diverse educational and professional backgrounds can pursue a master’s degree in areas such as finance, human resources, education, fashion, information technology, and more. Graduates go on to succeed in roles such as analysts, strategists, consultants, developers, advisors, and even startup founders. With the right academic foundation, strong communication skills, and creativity, a master’s degree can open doors in countless industries, not just in management or leadership.

What is the best master’s programme in Singapore?

There is no single “best” master’s programme. The right choice depends on your individual goals, interests, and preferred mode of study. Factors such as your career aspirations, learning style, and industry focus should guide your decision.

Singapore is home to a wide range of reputable master’s programmes offered by esteemed institutions such as the National University of Singapore (NUS), Nanyang Technological University (NTU), and Singapore Management University (SMU). In addition, specialised programmes delivered by institutions like Aventis cater to working professionals seeking flexible, career-relevant education.

Each master’s programme has its own strengths, whether in academic research, industry relevance, or flexible delivery. It’s important to evaluate what best aligns with your personal and professional objectives.

What are the factors to consider when applying for a master’s?

When determining the best master’s programme for you, consider the following factors:

Reputation: Look into the reputation of the university offering the master’s programme. Choose a programme that is accredited and recognised for academic excellence, faculty expertise, industry connections, and a successful track record.

Curriculum and assessment: Review the curriculum to ensure it aligns with your career goals and interests. Some programmes offer 100% coursework assessments, while others require examinations. Select a programme that provides the right mix of courses and assessment methods to suit your learning style.

Faculty and resources: Consider the qualifications and experience of the faculty members, as well as the resources available. These may include networking opportunities, career services, and access to industry leaders and alumni networks.

Networking and industry exposure: Programmes that provide exposure to international business, networking opportunities, and access to diverse industries are often preferred by busy working professionals.

Cost and financial aid: A master’s programme is a significant financial investment. Consider tuition fees and other costs, as well as available financial aid options such as scholarships, grants, and loans.

Alumni success: Investigate the track record of the programme’s alumni, particularly their career progression after graduation. A strong alumni network can offer valuable connections and support for your career advancement.

What are the available instalment payment schemes?

At Aventis, we offer flexible and affordable instalment payment schemes for our MBA and master’s degrees. Instead of paying the full tuition upfront, fees can be spread over four instalments throughout the duration of the programme. Additionally, you may apply for an educational loan through our banking partners to repay monthly.

What's Next?

Take the next step towards your academic success. Download our course brochure, Apply Now or Speak to your dedicated programme advisor Ms Hazel @ 8479 1137 to learn more!

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