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Applied AI & Machine Learning

MSc

Locations
London Stratford
Manchester
Online

Attendance
Weekdays (Blended)
Flexible (Online)

Duration
Full-time: 1 year (Blended)
Part-time: 1 year+ (Online)

What makes Arden University special?

Education for everyone, everywhere

Whether you're constrained by location, cost, time, or other life commitments, we're passionate about giving you access to higher education that fits into your busy, modern life.

You decide how and where to study

We offer a wide range of flexible undergraduate and postgraduate degrees in both our online and blended study modes.

Full support both online and on-site

We're also proud to offer non-standard entry, meaning your work experience and previous qualifications are taken into account when assessing your application.

Strong focus on employability

You will gain in-depth subject knowledge and transferable skills that employers from a huge range of industries will value. Many of our courses at Arden are also accredited by leading professional bodies in the UK.

Course Overview

Develop the advanced technical and practical skills to build, deploy and manage AI and machine learning solutions with our MSc Applied AI & Machine Learning. You’ll explore advanced machine learning, deep learning, generative AI, foundation models and MLOps, alongside AI strategy, ethics and governance.

Arden University and Google Cloud

Co-developed with Google Cloud, the course combines Arden’s academic experience with current technology and industry best practice. You’ll explore how modern AI systems are developed and applied, building the skills to take AI solutions from development through to production.

You’ll have access to Google Gemini Enterprise throughout your degree through Arden’s collaboration with Google Cloud. You can use Gemini Enterprise to work with course content in different ways, including creating revision notes, audio overviews and visual summaries to support your learning.

Develop practical AI engineering skills

Across the course, you’ll explore the technologies and techniques behind modern intelligent systems. You’ll learn how to develop, deploy, monitor and manage AI and machine learning systems at scale, while building your understanding of cloud-based AI technologies.

Work on practical AI projects

You’ll gain hands-on experience with generative AI, foundation models, large language models, Gemini, embeddings and retrieval-augmented generation. You’ll learn how to move AI solutions from development into production while developing the problem-solving and professional skills needed to work in a changing technology sector.

Build skills for your future career

You’ll work with Google technologies throughout the course and apply your learning through practical AI projects. The course culminates in an industry-focused project, giving you the opportunity to bring together your technical and strategic knowledge to develop and evaluate an applied AI solution for a real-world or industry-focused challenge.

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Added industry skills

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Course details and modules

The MSc Applied AI & Machine Learning is designed to give you the advanced technical and practical skills to build, deploy and manage AI and machine learning solutions.

You’ll develop your knowledge through practical modules, projects and challenges, exploring how AI is developed and applied in different technology and business environments.

Through our collaboration with Google Cloud, you’ll gain experience with relevant technologies and approaches while developing skills that can support a range of careers in AI, machine learning and technology.

Modules

Technical Skills for Digital Technologies
Advanced Machine Learning & Deep Learning
Generative AI & Foundation Models
MLOps: AI Systems in Production
AI Strategy, Ethics & Governance
Industry Innovation Project

How do we assess you?

The way we assess our Master’s students provide you with the opportunity to demonstrate your strengths and abilities and apply your learning to real-world contexts. This approach supports your academic development while helping you build the technical, professional and critical thinking skills needed to work with AI and emerging technologies.

You can expect assessment methods including:

Essays and reports
Case study analysis
Presentations
Project work
Practical and problem-solving activities

Your Industry Innovation project will further give you the opportunity to design, develop and evaluate an applied AI solution, where you will demonstrate your technical capability and ability to communicate its value and limitations. This will provide you with an AI portfolio ready for the next step in your career.

Study options

This course is available to study full-time through our blended learning study mode in London Stratford and Manchester.

The course is also available to students via online learning. This gives you the convenience of being able to study from anywhere in the UK or worldwide, providing you with the same high standards of teaching but with lower tuition fees.

Full-time blended learning

How does it work?

Our blended learning study mode combines structured in-person learning with the flexibility of guided independent study. You’ll attend eight hours of timetabled, face-to-face classes each week, spread over two days at your chosen Arden University campus.
Alongside this, you’ll spend approximately 25 hours each week on independent study. You’ll use iLearn, our digital learning platform, to access key resources, submit assignments, and stay connected with your tutors and classmates. Whether you prefer studying in our on-campus learning spaces or at home, you’ll be supported throughout your journey.

Blended learning is ideal if you value regular in-person teaching and want the flexibility to balance your studies with other commitments. With classes concentrated over just two days, you’ll have more control over your time, while still benefiting from face-to-face interaction and access to university facilities.

Part-time online learning

How does it work?

Studying your degree online with Arden means you can earn your anywhere in the world without the requirement to attend classes in a physical location. Our online students study their degree through iLearn, Arden’s university campus in the cloud.

Online learning students resident in the UK can apply for a Maintenance Loan if they cannot attend their course in person because of a disability. Please find more information on our fees and funding page. If you're a student from Scotland, Wales or Northern Ireland you can find information on Living Cost Loans from your student finance body.

Learn more about online learning

Entry requirements

At Arden University we consider applications on a case by case basis. If you have significant work experience, have qualifications you have gained elsewhere, or a degree or qualification that isn't a clear pathway to this degree - we are more than happy to discuss your application.

Eligibility

To be eligible for this MSc in Applied AI & Machine Learning, we need to see that you have:

A UK Honours Degree at a minimum of second class (2.2) or equivalent.

English Proficiency

Online Learning: IELTS 6.5 (no less than 6.0 in any element); or TOEFL iBT 90; or equivalent

Blended Learning in the UK or full-time study in Berlin: IELTS 6.0 (no less than 5.5 in any element); or TOEFL iBT 60-78; or equivalent. Free English language support is also available at the Arden Berlin campus.

Alternatively, evidence you have previously studied in English; a letter to show that the Medium of Instruction was in English can be accepted

We are happy to consider an application from you if you can show us you have the motivation to study this engineering management course.

We’ll ask you for a personal statement that demonstrates your ability to study the course. We may also want references and evidence of relevant experience.

If you require a visa to study in the UK

You must meet the academic entry requirements for this course.

You’ll need an IELTS score of 6.0 (with no less than 5.5 in any element) or an equivalent Secure English Language Test (SELT) result.

You can find more information here

Course fees and funding

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Meet the faculty

Professor John Parkinson, PhD, PGDip, FHEA

A future-facing faculty preparing graduates for an AI-enabled world

Hello, I’m Professor John Parkinson, Dean of the Faculty of Social Sciences & Technology (FoSST) at Arden University. I joined Arden after twenty-five years of research, teaching, and leadership in UK higher education. Throughout my career, I have been driven by a passion for understanding human behaviour and creating learning environments that help people thrive.

My academic career has centred on behavioural science, human motivation, applied research, and public policy. Beyond academia, I am a qualified counsellor and a strong advocate for student-centred, future-focused education. These experiences have shown me how quickly society shifts — and how vital it is that education keeps pace. At Arden, we are committed to ensuring that every student encounters an AI-infused curriculum, develops the literacies needed to thrive in data-rich workplaces, and learns to apply
technology ethically and insightfully to real-world challenges.

Throughout the Faculty, we have a deep commitment to applied, interdisciplinary learning, preparing students for the complexities of an evolving world. Across psychology, computing and data science, criminology, law, and the social sciences, our faculty brings together disciplines that are all being reshaped by artificial intelligence and rapid technological change. With the university’s new investment and strategic focus on digital transformation, our mission is clear: to prepare graduates who can harness the power of AI responsibly, creatively, and confidently.

We champion interdisciplinary thinking because the future will demand nothing less. Whatever programme you study, you will experience learning that is flexible, applied, technology-enabled, and grounded in strong academic foundations. Our goal is to not only help you succeed academically, but to ensure you graduate ready for the emerging AI-augmented professions of the future — resilient, skilled, and able to make a positive impact on society.

Welcome to the Faculty of Social Sciences & Technology. I look forward to supporting you as we build this ambitious, future-ready community together.

Professor John Parkinson, PhD, PGDip, FHEA

Dean of the Faculty of Social Sciences & Technology

Career prospects

In a collaboration with Google Cloud, we’ve created brand-new, future-focused degree programmes. Designed with Google Cloud experts, these courses bridge the gap between higher education and cutting-edge tech industry demands covering cyber security, data science, AI systems engineering, applied AI in business management, and more.

A New Partnership in AI Education | Arden University & Google Cloud

related courses

MSc Digital Leadership and AI Innovation

What will MSc Applied AI & Machine Learning do for me?

The course will help you develop advanced technical skills across AI and machine learning, while giving you practical experience with technologies used to develop and implement modern intelligent systems.

You’ll learn how to take AI solutions from development into production and develop an applied portfolio of work that can demonstrate your technical capabilities to potential employers. You’ll also develop your understanding of AI strategy, governance and responsible implementation, helping you consider the wider impact of AI within organisations and society.

What can I do after Arden University?

AI and machine learning are becoming increasingly important across industries, with organisations using these technologies to develop new products and services, improve processes and support decision-making.

This course will give you advanced technical knowledge alongside practical experience of applying AI technologies to real-world challenges. It can help you prepare for a range of specialist roles across AI, machine learning, data and digital technology, while providing a foundation for further professional development as the sector continues to evolve.

Potential career paths could include:

AI Engineer
Machine Learning Engineer
Generative AI Developer
LLM Specialist
AI Application Developer
MLOps Engineer
ML Platform Engineer
AI Systems Engineer
Data Engineer
Machine Learning Analyst
AI Solutions Consultant
Solutions Architect
AI Governance Specialist
AI Strategy Consultant
AI Product Specialist
Digital Innovation Specialist

Industry skills

Future-defining degrees, co-developed with Google Cloud

Designed with Google Cloud experts, our created brand-new, future-focused degree programmes these courses bridge the gap between higher education and cutting-edge tech industry demands covering cyber security, data science, AI systems engineering, applied AI in business management, and more.