Postgraduate · Computing
MSc Applied AI and Machine Learning
Future-proof your career with a master’s in applied AI and machine learning.
Subject to validation
- Generative AI and large language models
- Run AI systems at scale with MLOps
- An Industry Innovation Project
- Skills to work towards Google Cloud certifications
Build on your experience with skills employers want
Learn AI and subject expertise together, so you have both the skills and the know-how to apply them.
01 · Practical AI skillsGraduate with in-demand, practical AI skills
Build automated scripts, advanced solutions and practical problem-solving skills with modern AI tools, from AI-assisted Python to AI systems running at scale.
02 · AI in your subjectApplied AI and machine learning
Work hands-on with Google Cloud technologies to build automated solutions and explore real cloud architecture challenges.
03 · Real experienceReal experience and Google Cloud skills
Tackle a real-world or industry challenge in your Industry Innovation Project, and gain the skills to work towards Google Cloud certifications.
Course overview
Add advanced skills to design, deploy and manage AI and machine learning systems, and lead change in your field. You’ll use AI-assisted Python and work hands-on with Google Cloud technologies.
Organisations are using AI and machine learning to create new products and services, improve processes and support decisions. The MSc Applied AI and Machine Learning gives you the advanced technical and practical skills to build, deploy and manage those solutions.
You’ll explore advanced machine learning, deep learning, generative AI and foundation models. You’ll work with large language models, embeddings and retrieval-augmented generation, which connects an AI model to trusted sources of information. You’ll also learn MLOps: how to deploy, monitor and manage AI systems reliably at scale.
You’ll also examine AI strategy, ethics, governance, regulation and risk, so you understand not only how AI works but how organisations can adopt it responsibly. The course ends with an Industry Innovation Project that brings it all together.
Specialist skills you’ll build
- Advanced machine learning and deep learning.
- Generative AI, foundation models and large language models.
- Embeddings and retrieval-augmented generation.
- MLOps: deploying, monitoring and managing AI systems.
- AI strategy, ethics, governance, regulation and risk.
- An applied technical portfolio.
How you’ll build and launch AI systems, stage by stage
First, you’ll build advanced models with AI-assisted Python. Next, you’ll put generative AI to work, run AI systems at scale and build automated agents that run tasks for you. Finally, you’ll tackle a real-world or industry challenge and gain the skills to work towards Google Cloud certifications.
- First
Advanced models
Build and evaluate advanced machine learning and deep learning models, using AI-assisted Python to work faster and test more ideas.
- Next
Generative AI in real-world use
Work with foundation models, large language models and retrieval-augmented generation, then deploy, monitor and manage AI systems at scale with MLOps. You’ll also set up no-code and low-code agents: automated agents that run tasks for you.
- Finally
Industry Innovation Project
Design, build and evaluate an applied AI solution to a real-world or industry challenge, and show its value and limits in a portfolio ready for your next career step. You’ll also gain the skills to work towards Google Cloud certifications.
Learn the subject with Arden. Prove the skill with Google Cloud.
Your degree is co-developed with Google Cloud and taught and awarded by Arden University. It brings Google Cloud’s expertise together with Arden’s academic experience, connecting your technical learning with Google Cloud technologies and professional standards.
Hands-on Google Cloud technologies
Connect your technical learning with Google Cloud technologies and professional standards.
An Industry Innovation Project
Design, build and evaluate an applied AI solution to a real-world or industry challenge.
Skills for Google Cloud certification
Gain the skills to work towards Google Cloud certifications.
Course details
This course combines advanced technical learning with practical application, so you can understand, create and implement modern AI solutions and see how they’re applied within organisations.
- Qualification
- MSc
- Awarded by
- Arden University
- Partnership
- Co-developed with Google Cloud
- Level
- Postgraduate
- Duration
- 1 year full-time (blended), or 1 year+ part-time (online)
- Start date
- April 2027
- Study modes
- Blended (full-time) or online (part-time)
- Attendance
- Weekdays
- Campus locations
- London Stratford, Manchester
- Online availability
- Available internationally
- Learning platform
- Arden’s digital learning platform
- Validation
- Subject to validation
Your degree is taught, assessed and awarded by Arden University. Google Cloud contributes learning content, tools and subject-matter expertise.
What you'll study
These are the modules you’ll study on this course.
- 1 year full-time (blended), or 1 year+ part-time (online)
Your modules
6 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
Modules are subject to validation and may change.
Careers after this course
AI and machine learning are becoming central to how organisations build products, improve processes and make decisions. You’ll graduate with advanced technical knowledge and practical experience, ready for specialist roles across AI, machine learning, data and digital technology.
Examples of roles this course could lead to
- 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
How you can study
Study full-time through blended learning in London Stratford or Manchester, completing the course in one year, or part-time online from anywhere in the world.
Blended learning
- Where
- London Stratford, Manchester
- Platform
- Arden’s digital learning platform
- Duration
- 1 year full-time
You’ll attend eight hours of timetabled, face-to-face classes each week, spread over two days at your chosen Arden campus, with around 25 hours of independent study through Arden’s digital learning platform.
With classes concentrated into two days, you keep more control over your time while still learning face to face.
Online learning
- Where
- Online, from anywhere in the world
- Platform
- Arden’s digital learning platform
- Duration
- 1 year+ part-time
Studying online means you can earn your degree from anywhere in the world, without attending classes in a physical location. You’ll study through Arden’s digital learning platform, with your learning resources in one place and contact with your tutors and fellow students throughout.
Online learning gives you the flexibility to fit postgraduate study around your existing commitments, whether you’re working, managing family responsibilities or living outside the UK.
Funding. 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. Students from Scotland, Wales or Northern Ireland can find information on Living Cost Loans from their student finance body.
Entry requirements
Academic requirements
- A UK honours degree at 2:2 or above, or equivalent.
- Applications are considered case by case.
- A personal statement may be requested, along with references and evidence of relevant experience.
English language requirements
- Blended learning: IELTS 6.0, with no less than 5.5 in any element; TOEFL iBT 60–78; or an accepted equivalent.
- Online learning: IELTS 6.5, with no less than 6.0 in any element; TOEFL iBT 90; or an accepted equivalent.
- Evidence of previous study in English may also be considered.
- Visa applicants need IELTS 6.0 with no less than 5.5 in any element, or an equivalent Secure English Language Test result.
Build on the experience you already have
Your profession is changing, and your experience still matters. Build on it with practical AI skills and current professional knowledge, so you can adapt and lead as your field changes.
Build on your experience
Bring what you know from your first degree or your work, and add advanced AI and machine learning skills.
Lead change in your field
Learn AI strategy, ethics and governance, so you can help your organisation adopt AI responsibly.
Study in a way that fits
Study full-time with classes over two days a week in London Stratford or Manchester, completing the course in one year, or part-time online around your work.
You don’t need to start again. Add new skills to what you already know.
Register your interestThe world of work is changing. So can you.
Register your interest in the MSc Applied AI and Machine Learning and we’ll tell you as soon as applications open.
Be first to know when applications open
- An email the moment applications open
- The confirmed module list and fees as soon as they're published
- Invitations to online sessions about your course, as they become available
- No obligation to apply, and you can unsubscribe at any time
Course details and modules are subject to validation and may change.