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LEARNING AT NORTHEASTERN UNIVERSITY LONDON

Engage with the world, from the vantage point of a culturally diverse global city.

Postgraduate

MSc Applied Artificial Intelligence

Shape the next generation of intelligent systems.

Gain the technical foundations, applied experience and ethical perspective to lead the next generation of intelligent systems. Flexible pathways let you tailor your MSc towards Strategy and Leadership, Analytics and Business Transformation, Development and Ethics, or Engineering and Systems.

Key information

Programme title

MSc Applied Artificial Intelligence

Study mode

On campus

Full-time or part-time

Duration

1 year (full-time) or 2 years (part-time)

Start date

September 2026 or January 2027

Fees (2026-27)

TBC

Funding available (2026-27)

TBC

Location

St Katharine Docks & The City, London

Work in the UK

Eligible for Graduate route post-study work visa

Why choose this programme?

  • Study your way – flexible full-time and part-time options designed to fit around work, life and professional commitments.
  • Learn to lead in an AI-powered world, gaining the knowledge to guide organisations through rapid technological change.
  • Build a strong grounding in core AI methods, including algorithms, analytics, machine learning, NLP and agentic AI systems.
  • Develop high-level strategic, organisational and leadership skills through pathways designed for both technical and non-technical students.
  • Explore how AI drives digital transformation, and learn to design, deploy and manage AI solutions in real organisational environments.
  • Gain applied skills in data quality, curation, analysis and decision-making that underpin modern AI workflows.
  • Examine the ethical, regulatory and societal impacts of AI, including fairness, transparency and responsible deployment.
  • Benefit from personalised academic support – small classes, direct access to expert faculty, and tailored guidance throughout the programme.
  • Complete a unique Postgraduate In-the-Field Experiential Project, gaining hands-on industry experience with real responsibilities and feedback.
  • Study in London, a global centre for AI innovation, policy and industry, with opportunities to connect to leading organisations and talent networks.
  • Graduate career-ready, equipped with the technical, analytical and leadership capab
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Study in London

Enjoy state-of-the-art facilities in the heart of one of the world’s top student cities, where London’s global business, tech and cultural scene become an extension of your classroom.

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Industry experience

Learning through experience is central to the programme. You’ll apply your knowledge to real-world projects and industry challenges, gaining practical skills and professional insight.

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Global community

Northeastern University London is part of Northeastern University’s 13-campus global network, home to almost 100 nationalities and built for a postgraduate experience shaped by global thinking.

What our students say

Taking this course towards the latter part of my thirty-year career in Financial Markets gave me the flexibility to fit the course around my existing commitments to both part-time work and family.  After graduating with my MA Philosophy and AI, I was delighted to be offered a place to study for a PhD at Kings College London in the Philosophy department, focusing on AI Ethics. My MA and in particular the dissertation gave me the knowledge and confidence to apply for and embark on the PhD. Northeastern University London’s philosophy faculty were also very supportive in my application 

Paul testimonial

Paul

MA Philosophy & AI

What our students say

This programme has significantly enhanced my confidence and capability as a technology leader. Personally, it has sharpened how I think, encouraging critical analysis, ethical reflection, and systems-level understanding. Professionally, it has expanded my skillset beyond operational delivery into strategic AI leadership. The MSc programme has helped me to address problems with a wide context, collaborating data, technology, and ethics

Sushant  testimonial

Sushant 

MSc AI & Technology Leadership

What our students say

The teaching quality is exceptional because it’s so interactive. It’s not just about memorizing algorithms; the course is designed around applying what we learn to real-world scenarios. We move from theory to practice very quickly, which helps the concepts stick. The focus on project-based learning means I’m building a portfolio while I study, which gives me the confidence that I’m ready for the workforce. The support here is genuine. Whether it’s during office hours or just a quick chat after class, the faculty are very accessible. They don’t just give generic feedback; they give specific advice on how to improve my work and think more critically. Knowing I have that safety net makes me feel comfortable taking risks and tackling harder problems.

Rajarajachozhan  testimonial

Rajarajachozhan 

MSc AI & Computer Science

What our students say

The online Contemporary Creative Writing MA has exceeded my expectations in every way. It is a joy to be part of this global writing community, such a supportive network of like-minded people. The lecturers are fabulous, approachable and filled with enthusiasm and knowledge. When I was looking for an MA, I was initially impressed with the time taken to talk to me about the course, demonstrating the time and effort taken to personalise the experience for each student. I made the best choice when I chose this course, at this university. It has been the most wonderful learning experience I could have wished for.

Emma  testimonial

Emma 

MA Contemporary Creative Writing

What our students say

The course is set up excellently for building core competencies in philosophy and AI whilst allowing for plenty of room to explore areas of interest. For me I wanted a blend of technical and humanities skills which I found in both the core modules and taking the programming modules as well. Lecturers are fantastic and offer the highest quality teaching whilst leaving space for students to grow together and take advantage of the diverse range of skills and perspectives in each cohort

Dominic testimonial

Dominic

MA Philosophy & AI

Programme overview

What you’ll study

What you’ll study

This MSc covers the full spectrum of modern AI, from foundational principles to advanced applications. You’ll explore agentic systems, machine learning, natural language processing, analytics, autonomous decision-making, AI engineering and ethical governance frameworks.

You’ll learn how AI is designed, built and applied – and how it drives change across organisations and society. Flexible pathways let you specialise in Strategy and Leadership, Analytics and Business Transformation, Development and Ethics, or Engineering and Systems, preparing you to lead, build and govern real-world AI solutions with confidence.

Your learning culminates in a substantial AI Dissertation Project, where you develop a technical artefact, prototype, system or applied analysis guided by an expert supervisor.

Skills that set you apart

  • Build and deploy machine learning and NLP modelsUnderstand and work with agentic and autonomous AI workflows
  • Develop strong analytical and problem-solving skills
  • Apply ethical, responsible and regulatory guidelines to real systems
  • Translate business needs into effective AI solutions
  • Communicate confidently with both technical and non-technical audiences
  • Lead and manage AI-driven projects and transformation
  • Conduct rigorous independent research culminating in a dissertation

Programme content

Part-time structure follows the same modules across two years.
Course availability may vary by academic year based on faculty expertise, student demand and timetabling.

How you’ll learn

You’ll learn through a blend of interactive teaching, hands-on technical work and industry-focused activities that mirror how AI is developed, deployed and governed in real organisations. From the outset, you will apply concepts directly, building confidence with tools, methods and frameworks used across the AI sector.

Your learning experience includes:

  • Interactive seminars and practical lab workshops, where you’ll experiment with core AI techniques, from algorithms and analytics to machine learning, NLP and agentic AI workflows.
  • Small classes and personalised support, giving you regular opportunities to ask questions, deepen understanding and receive tailored feedback.
  • Technical tutorials and coding-based exercises designed to strengthen your programming, model-building and system design skills.
  • Applied AI and analytics activities using real datasets to explore supervised learning, natural language processing and intelligent decision-making.
  • Ethical and philosophical discussions that help you critically evaluate the societal, regulatory and organisational implications of AI systems.
  • Guided independent study supported by our Virtual Learning Environment (VLE), where you’ll access digital resources, research materials and self-paced activities.
  • Research-informed learning, including the option to engage with faculty research seminars across AI, ethics and cognitive technologies.

Experiential learning

At Northeastern University London, education goes far beyond textbooks and lectures – we believe in the transformative power of learning by doing.

You won’t just study concepts; you’ll apply them in real-world settings, gaining hands-on experience that prepares you for a successful future.

Studying in the heart of London gives you access to immersive, real-world learning opportunities in one of the world’s most dynamic and globally connected cities.

What experiential learning looks like:

  • Hands-on AI and analytics projects, where you analyse real organisational challenges, work with live or realistic datasets, and generate evidence-based insights.
  • Agentic AI and generative AI exercises, allowing you to design workflows, explore autonomous decision-making and understand multi-agent system behaviour.
  • Applied transformation and leadership scenarios, mirroring how organisations adopt AI, restructure processes and manage emerging technologies.
  • Ethical, regulatory and governance case studies, helping you evaluate risk, fairness, transparency and human–AI collaboration in practical settings.
  • Collaborative tasks, where you work with peers to explore AI system design, stakeholder communication and strategic planning.
  • A substantial dissertation project, enabling you to develop an original technical build, applied artefact or research-led analysis in an area of AI that aligns with your goals.

This applied, industry-aligned approach ensures you graduate with the technical capability, strategic insight and real-world experience needed to succeed in an AI-empowered economy.

Careers and employability

Join a global community of 300,000+ Northeastern alumni and 3,500 industry partners, opening doors to powerful professional networks across technology, consulting, finance, government and beyond.

You’ll benefit from employer events, skills workshops and expert careers guidance – plus personalised one-to-one support from our Careers Advisory Service – helping you refine your goals and take confident steps towards your next role.

Skills for a successful career 

Skills for a successful career 

Graduate ready to shape the future of intelligent systems and lead in an AI-enabled world. This programme equips you with the technical capability, analytical insight and strategic awareness needed to design, deploy and manage AI solutions across organisations.

You’ll develop expertise in:

  • Applied AI methods, including machine learning, natural language processing and intelligent decision-making
  • Agentic and generative AI, understanding autonomous workflows, multi-agent systems and real-time decision architectures
  • Programming, algorithms and analytics, strengthening your ability to build, evaluate and optimise AI models
  • Data quality, curation and investigation, forming the foundation of reliable AI systems
  • Responsible and ethical AI, evaluating fairness, transparency, governance and societal impact
  • AI strategy and digital transformation, aligning AI systems with organisational needs and change agendas
  • Leadership and collaboration, working effectively across teams adopting or developing AI
  • Clear communication, presenting technical and strategic insights to specialist and non-specialist audiences
  • Independent research and innovation, culminating in an applied AI dissertation or technical artefact

This blend of technical skill, critical thinking and strategic understanding prepares you for impactful roles across the AI sector.

 

Sectors you can work in

Graduates are equipped to work across a wide range of industries adopting AI technologies, including:

  • Artificial intelligence & machine learning
  • Data analytics & automation
  • Technology & software engineering
  • Consulting & digital transformation
  • Financial services & fintech
  • Government, public policy & regulation
  • Healthcare, biotech & medical AI
  • Retail, logistics & operations
  • Creative industries & generative technologies
  • Sustainability, environment & smart systems
  • Startups and high-growth innovation environments

Career paths and roles 

Depending on your pathway – technical, analytics, leadership or ethics – you may progress into roles such as:

Technical & Development Roles

  • AI Engineer
  • Machine Learning Developer
  • AI Software Engineer
  • Applied NLP or ML Specialist

Ethics, Policy & Governance Roles

  • AI Ethics Specialist
  • Responsible AI Officer
  • AI Policy Analyst
  • AI Risk & Compliance Analyst

Strategy, Product & Transformation Roles

  • AI Product Manager
  • Digital Transformation Consultant
  • AI Strategy Lead
  • Innovation & Automation Manager
  • Technology Project Manager

These roles span sectors that are rapidly expanding their use of intelligent systems, giving graduates strong career prospects in an AI-driven economy.

Networking for your future

Through Northeastern University’s global network with more than 3,500 employer partners and 300,000 alumni worldwide you’ll be connected to a community of professionals, mentors, and industry leaders ready to support your career ambitions wherever they take you.

Dedicated careers support

From day one, our careers team supports your goals, builds your professional profile, and prepares you for what’s next – advancement, career change, or global opportunities.

Where you’ll study

Where you’ll study

Our vibrant campus in the heart of London offers you modern facilities and inspiring surroundings with everything you need for your studies. Our central location places you close to many of the UK’s most innovative tech companies, start-ups and digital communities.

See our campus

Book a personal consultation

Book a one-to-one consultation to discover more about our master’s programmes and get answers to any questions you have about postgraduate study, our campus or student life in London. Our postgraduate team offers personalised guidance in a format that suits you – on campus, online or over the phone.

Book a personal consultation

Entry requirements

We typically make offers to applicants who hold a UK undergraduate degree with at least a second-class (2:2) honours (or international equivalent).

We also welcome applications from mature students and professionals who may have been out of formal education but can demonstrate relevant professional experience or equivalent qualifications.

Each application is reviewed on an individual basis and assessed through the application form, reference, and personal statement.

English language requirements

If English is not your native language, you’ll need to show you’re proficient in English to study with us. You can find more on the test results we accept on our entry requirements page.

Our entry requirements

Tuition fees

How to apply

Ready to lead in project management? Start your application today.

How to apply

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