Master of Business Administration (Artificial Intelligence Management)
Programme Overview
The Master of Business Administration (Artificial Intelligence Management) is a two-stage postgraduate programme designed to develop advanced business, leadership and strategic capability within contemporary technology-driven organisational environments.
The programme integrates advanced taught learning with supervised research and applied investigation, enabling learners to develop strategic thinking, analytical competence, AIenabled decision-making capability and professional skills relevant to complex and rapidly evolving business contexts.
Stage 1 develops advanced managerial and analytical capability through specialist taught modules focused on artificial intelligence, machine learning applications, AI strategy and ethics, innovation, strategic management, leadership and financial decision-making. The programme equips learners with the capability to evaluate, apply and lead AI initiatives across a range of business functions, with a focus on strategic decision-making, governance and organisational impact rather than technical system development.
Stage 2 focuses on independent research, advanced investigation and applied problemsolving through a Research Proposal module and a substantial Management Investigation (Capstone Project).
The programme supports progression into senior professional, managerial and strategic roles associated with AI-enabled business transformation, digital innovation and technology leadership, while also preparing learners for further academic and professional development.
Course Information
Course Objective
Develop AI Management & Leadership Expertise
Build advanced knowledge and specialist expertise in artificial intelligence management, strategic leadership, and technology-enabled organisational transformation.
Apply AI Technologies in Business Strategy
Enable the effective application of AI technologies, machine learning capabilities, and governance frameworks in strategic and operational business decision-making.
Evaluate AI Risks & Opportunities
Develop the ability to critically evaluate AI opportunities, risks, and organisational impacts in complex business environments.
Drive Innovation & Digital Transformation
Strengthen strategic, analytical, and research capabilities relevant to AI-enabled organisational innovation and digital transformation.
Build Research & Evidence-Based Decision Skills
Develop independent research capability and evidence-based decision-making skills within artificial intelligence and management contexts.
Advance into AI & Technology Leadership Roles
Prepare learners for progression into senior AI management, digital strategy, and technology leadership roles, along with further academic and professional development.
Programme Outcomes
- Critically evaluate artificial intelligence technologies, frameworks and strategic models relevant to contemporary organisational environments.
- Demonstrate critical understanding of AI ethics, responsible AI frameworks and technology governance principles in diverse organisational contexts.
- Apply advanced knowledge of AI, machine learning and strategic management to formulate and implement AI-driven business strategies.
- Assess the strategic, regulatory and societal impact of AI on organisational performance, decision-making and competitive positioning.
- Analyse and synthesise complex technical and business information to identify AI opportunities, risks and areas for organisational transformation.
- Develop evidence-based, innovative AI solutions to contemporary business challenges through critical reasoning, ethical evaluation and applied problemsolving.
- Critically evaluate AI model outputs, analytical findings and technological capabilities to inform strategic business decisions.
- Design and manage AI implementation projects, applying appropriate frameworks, governance structures and performance metrics.
- Analyse and interpret financial information and AI performance data to support strategic investment decisions and resource allocation.
- Conduct applied AI research, including literature review, data collection and analytical evaluation to support strategic AI initiatives.
- Demonstrate AI leadership, cross-functional teamwork and stakeholder management skills in designing and delivering responsible AI solutions.
- Apply reflective practice and self-direction to manage continuing professional development in AI management and emerging technology strategy.
Course Structure
The Master of Business Administration (Artificial Intelligence Management) is structured as an integrated two-stage postgraduate programme comprising a taught Postgraduate Diploma stage and a final MBA research stage, totalling 180 credits at Level 7.
Stage 1 – Taught Stage (120 Credits)
Stage 1 consists of the Postgraduate Diploma (PGDip) in Artificial Intelligence Management, which develops advanced business knowledge, strategic awareness, leadership capability, analytical competence and applied managerial skills relevant to contemporary organisational environments.
The taught stage enables learners to critically engage with artificial intelligence and technology management disciplines, including strategic management, leadership and governance, AI strategy and ethics, machine learning applications, innovation and financial decision-making. The programme supports the development of strategic and analytical capabilities required to evaluate AI opportunities, govern responsible AI implementation and support organisational transformation within technology-driven business environments.
Successful completion of Stage 1 provides learners with the academic and professional foundation required to progress to the MBA research stage.
Stage 1 Modules
| Module No | Module Name | Credits |
|---|---|---|
| M07001 | Strategic Management | 15 |
| M07002 | Leadership and Governance | 15 |
| M07003 | Advanced Business Research Methods | 15 |
| M07004 | Financial Management and Decision Making | 15 |
| M07012 | Strategic Change and Innovation | 15 |
| M07103 | Foundations of AI and Machine Learning | 15 |
| M07104 | AI Strategy and Ethics | 15 |
| M07105 | Machine Learning Applications | 15 |
| Total Credits | 120 |
Exit Awards
- Learners who successfully complete 60 credits may be awarded a Postgraduate Certificate (PGCert) in Artificial Intelligence Management.
- Learners who successfully complete 120 credits may be awarded a Postgraduate Diploma (PGDip) in Artificial Intelligence Management.
Stage 2 – MBA Research Stage (60 Credits)
Stage 2 consists of supervised research and applied investigation through a Research Proposal module and a substantial Management Investigation (Capstone Project).
This stage enables learners to integrate and apply advanced business, management and leadership knowledge in the investigation of complex organisational, managerial or strategic challenges within contemporary business environments.
Learners are expected to undertake independent research, critically evaluate evidence, apply appropriate research methodologies and develop strategically relevant and evidencebased recommendations or solutions.
Stage 2 Modules
| Module Code | Module Title | Credits |
|---|---|---|
| M08001 | Research Proposal | 20 |
| M08002 | Management Investigation (Capstone Project) | 40 |
| Total Credits | 60 |
Successful completion of both Stage 1 and Stage 2 leads to the award of Master of Business Administration (Artificial Intelligence Management).
Teaching & Assessment
Delivery is designed to support advanced, research-led and applied learning through a range of academically rigorous and professionally relevant teaching and learning approaches, including:
- Lectures, workshops and seminars
- Case studies, business simulations and applied organisational activities
- Research supervision and academic mentoring
- Online learning resources and discussion forums
- Independent study and guided reading
- Peer learning, collaboration and research presentations
Teaching and learning activities support both theoretical understanding and practical application within contemporary organisational environments. Where appropriate, learners will engage with real-world AI adoption and organisational transformation scenarios, enabling the application of AI governance, ethical frameworks and strategic decision-making principles to contemporary business challenges.
Entry Requirement
Applicants must have:
- A recognised Level 6 qualification (e.g. Bachelor’s degree) in a relevant subject area
- English language proficiency evidenced through Medium of Instruction (MOI) or an equivalent recognised English language qualification.
Relevant managerial, professional or entrepreneurial experience equivalent to a minimum of three years is desirable.
Learners progressing through the integrated programme may normally demonstrate this through prior or concurrent professional experience gained before or during the programme.
Applicants with an appropriate Level 7 Postgraduate Diploma in a cognate subject area may be eligible for advanced entry into Stage 2, subject to institutional regulations and recognition of prior learning policies.
Progression Opportunities
To be awarded the Master of Business Administration (Artificial Intelligence Management), learners must:
- Successfully complete Stage 1 (120 credits)
- Successfully complete Stage 2 (60 credits)
- Achieve a total of 180 credits at Level 7
Join a generation of students who think globally and act locally.
