MBA Artificial Intelligence

To apply for the Walbrook MBA, you’ll need to meet one of the following:

Option 1:

• A 2:2 honours degree (or equivalent) from a recognised institution plus relevant professional experience (typically 2+ years).

• If you have less than 2 years’ experience, you’re still encouraged to apply. We’ll review your academic and professional background on a case-by-case basis.

Option 2:

• A minimum of 2 years of relevant professional experience.

Thinking of transferring institutions or have you studied before? You can apply to transfer up to 60 credits towards your MBA. Please note that credits can’t be awarded for the Research Development or Capstone Project modules.

• Review our recognition of prior learning process.

• Speak to our Enrolment Team.

• Submit a recognition of prior learning form alongside your application.

Overseas qualifications may be accepted and will be subject to evidence of equivalency normally verified through ECCTIS (UK ENIC). 

If you’re a non-native English speaker, you’ll be asked to provide proof of your English language proficiency in one of the following forms. Alternatively, you may be accepted if you have previously studied in English at an appropriate level and attended a recognised institution.

IELTS

• Evidence of a score of IELTS Level 6.5 or above with no element below 6.0.

TOEFL iBT®

• Evidence of a score of 88 overall (with 18 in reading, 19 in listening, 19 in speaking and 23 in writing).

Trinity College London Integrated Skills in English (ISE)

• Evidence of a score of ISE II with distinction in each skill.

Cambridge Certificate of Proficiency or Cambridge Certificate of Advanced English

• Evidence of a score of 176 overall, with 169 in each component.

On this online MBA Artificial Intelligence, you’ll study a series of carefully designed modules. With flexible monthly starts, you’ll join the next available module and study alongside a cohort learning the same subject at the same time.

• Fundamentals of Artificial Intelligence
  Gain hands-on insight into how artificial intelligence is used in business. You’ll explore no-code tools like AutoML and Power BI to develop a working understanding of automation, data analysis and decision support. 

• Principles of Machine Learning
  Understand how machine learning models work – and where they’re applied in business. You’ll explore classification, forecasting and pattern recognition, and consider how non-specialists can lead machine learning driven projects.

• Environmental Focus
  Evaluate how emerging technologies intersect with environmental responsibility. You’ll explore how AI can support sustainability – and how leaders must balance innovation with ethical considerations.

• Strategy Formulation and Implementation
  Use proven models to create AI-informed strategies that support growth, efficiency and innovation. You’ll apply your learning to real or chosen organisations.

• Change Management
  Successful AI adoption depends on effective change leadership. You’ll develop strategies to manage transitions, overcome resistance, and deliver innovation with impact.

• Marketing Communication
  Discover how AI is reshaping customer engagement. You’ll explore data-driven marketing, automation and brand strategy in the context of digital transformation.

• Agile HRM
  Explore the role of agile people strategies in tech-led organisations. You’ll learn how to manage diverse, cross-functional teams and align people development with fast-moving digital change.

• Financial and Business Intelligence
  Learn how financial data and AI tools can inform strategic decision-making. You’ll assess performance, forecast outcomes and use business intelligence systems to solve real-world problems.

• Research Methods
  Build essential research skills to explore an AI or business topic in depth. You’ll learn how to develop a research question, analyse sources, and apply ethical data collection techniques.

• Research Development
  Define your focus for the final project and pitch your approach. You’ll investigate an AI-related challenge and shape your direction through feedback and reflection.

• Research Project
  Complete an applied research project focused on artificial intelligence in business. You’ll conduct independent research and deliver strategic recommendations based on your findings.

Most modules include more than one assessment, helping you build skills gradually and apply your learning in different ways. You might complete two or three shorter tasks instead of one final assignment – weighted, for example, at 25%, 25% and 50%.

Here’s a snapshot of the main types of assessments you’ll complete across your core modules. Want to know what assessments you’ll sit for each module, or just need more detail? Request more info and our team would love to talk it through with you.

• Report: write a structured academic or business report that demonstrates critical analysis and application of theory.

• Strategic plan or business case: produce a strategic plan or business case in response to organisational challenges, supported by research and analysis.

• Poster presentation: create a visual summary of your analysis, such as a strategy or proposal, with a short written explanation.

• Learning log or reflective practice: write a short reflective piece to evaluate your professional learning, development or application of theory in practice.

• Infographic and commentary: design an infographic to present a business or research idea, supported by a short written explanation.

• Presentation or video pitch: present your strategic analysis or project proposal through a recorded or live presentation.

• Research thesis: complete a dissertation investigating a business issue relevant to your role or specialism, with independent research and strategic recommendations.