MSc Applied Artificial Intelligence

Entry requirements

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

Entry Requirements

• A second-class (2:2) honours or above (or international equivalent) in any subject, or equivalent international qualification
• Professional experience considered for applicants with relevant work background
• English language proficiency: IELTS 6.5 (no component below 6) or equivalent

Months of entry

January, September

Course content

The MSc Applied Artificial Intelligence at Northeastern University London prepares you to lead, design, and implement AI solutions across diverse organisational contexts. You will build a deep technical understanding of autonomous and generative AI systems, machine learning, natural language processing, data analytics, and AI engineering, alongside critical frameworks for ethical decision-making, governance, and responsible deployment.

The programme combines rigorous academic study with experiential learning, including an industry-aligned Postgraduate In-the-Field Experiential Project and a substantial dissertation addressing real-world challenges. Through these elements, you will integrate theoretical knowledge with applied practice and develop professional enquiry skills grounded in evidence-based approaches.

You can tailor your studies through one of four concentrations - AI Strategy and Leadership, AI Analytics and Business Transformation, AI Development and Ethics, or AI Engineering and Systems - aligning the programme to your career goals and background.

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 capabilities needed for advanced roles across the AI sector.

Information for international students

Fees and funding