Artificial Intelligence Strategy MSc

1 Years On Campus Masters Program

Brunel University

Program Overview

The MSc in Artificial Intelligence Strategy prepares students to understand AI technologies while developing leadership, governance and strategic decision-making skills needed to guide AI adoption in organisations. It suits graduates from any discipline who want to work at the intersection of AI, policy, ethics and business strategy.

Curriculum Structure (Full-time, 1 Year)

Students begin with Artificial Intelligence Ethics, Power and Inclusion, Artificial Intelligence Leadership and Business Models, and Law, Policy and Governance of Artificial Intelligence, learning how AI shapes society, regulation, and organisational models. They then take Artificial Intelligence Technologies for Decision Makers to understand machine learning, deep learning and NLP from a strategic, non-technical perspective. The year concludes with Artificial Intelligence Strategy and Transformation and a Dissertation, where students design an AI-strategy or governance project applying the concepts studied throughout the programme.

Focus areas: “AI governance, AI leadership, ethics and inclusion, policy and regulation, strategic AI adoption”

Learning outcomes: “Evaluate ethical and legal issues in AI; understand core AI technologies; design organisational AI strategies; lead responsible transformation; conduct independent research.”

Professional alignment (accreditation): FHEQ Level 7; not professionally accredited.

Reputation (employability rankings): University ranked in the QS 351–400 global band for related subject areas; strong employability in AI governance, policy, consultancy and digital-transformation roles.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through project-based learning in Brunel's high-performance computing environment and specialist AI labs, applying techniques to real-world problems in areas like finance, healthcare, and smart cities. The programme emphasises both theoretical understanding and practical implementation, with access to the University's dedicated computing infrastructure and research centres. This applied learning is central to the curriculum and is delivered through:

Core Software & Programming: Intensive use of Python and key AI libraries and frameworks, including TensorFlow, Keras, PyTorch, and Scikit-learn.
Computing Facilities: Access to Brunel's High-Performance Computing (HPC) cluster, providing GPU resources for training complex AI models.
Research Project: A substantial individual MSc dissertation project, often with an applied focus, allowing for deep specialisation in a chosen AI domain.
Group Projects: Collaborative team-based projects focused on designing and building complete AI systems to solve specific, complex problems.
Digital Tools & Platforms: Use of industry-standard tools for version control (e.g., Git) and collaborative development.

Progression & Future Opportunities

Graduates of the MSc Artificial Intelligence Strategy at Brunel University are prepared for leadership roles in AI across private, public, and third sectors, working as AI project managers, ethics officers, business strategists, and AI policy advisors.

Brunel’s career services provide networking events, industry guest lectures, and placement opportunities to enhance employability.
Graduates enter roles focused on AI governance, ethical design, risk management, and strategic AI implementation with strong UK salary prospects.
The program includes partnerships and real-world case studies addressing grand challenges and sustainable development goals.
Emphasizes long-term value with expertise in AI ethics, law, leadership, and transformation strategy.
Outcomes prepare students to lead responsible AI adoption and innovation across diverse organisations.

Further Academic Progression: Graduates can pursue PhDs in AI strategy, governance, and applied AI, leveraging project and dissertation research.

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