Study at our London campus MSc Business and Management with Artificial Intelligence

To apply for this master's degree, you’ll need:

• A 2:2 honours degree (or equivalent) from a recognised institution.

Additionally, we may consider applicants with a non-degree qualification that is deemed by Walbrook Institute London to be of an appropriate standard for postgraduate study.

Applicants may be subject to additional selection criteria.

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

If English isn't your first language, 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 6.0 or above with no element below 5.5.

TOEFL iBT®

• Evidence of a score of 79 overall (with 18 in reading, 17 in listening, 20 in speaking and 21 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 170 overall, with 160 in each component.

• Artificial Intelligence – Theory and Application

  AI is more than a tool – it’s a strategic force. This module introduces students to artificial intelligence concepts and their practical applications in business. You’ll work with no-code AI tools, analyse real business problems, and evaluate the strategic implications of AI-driven decision-making. From ethical considerations to data analytics and responsible AI deployment, this module equips you to lead in a world shaped by emerging technologies.

• Machine Learning

  In this module, you’ll gain a comprehensive understanding of machine learning and how it supports business transformation. You’ll use no-code platforms to apply classification, regression, and clustering techniques to data. Expect up-to-date expertise, hands-on experience, group collaboration, and critical thinking.

• Corporate Business Strategy

  This module explores how business strategy is shaped in response to risk, innovation, and global competition. You’ll examine real business contexts, use strategic frameworks, and work through real-world scenarios where direction, growth and survival are all on the line. Expect to think like a strategist – and act like one too.

• Finance for Management

  Numbers tell a story – if you know how to read them. This module focuses on financial planning, capital structures, and business performance. You’ll interpret financial statements, build commercial awareness, and develop practical knowledge for confident decision-making across sectors.

• Marketing Principles and Practice

  Brands compete for attention. But smart marketing builds lasting value. You’ll explore marketing strategy, customer relationships, and communication across platforms – applying your learning to real businesses and sharpening the professional skills employers look for.

• International Business and Management

  Borders are no barrier to ambition. In this module, you’ll explore global business environments, trade, cross-cultural leadership and market entry strategies. You’ll debate, analyse, and think critically about how multinational organisations manage complexity and opportunity.

• Dissertation

  This is your chance for a comprehensive exploration into a business and AI-related issue that matters to you. You’ll use your analytical skills to critically evaluate theory and practice, and deliver a well-evidenced argument with strategic relevance.

Across your MSc, you’ll complete a mix of assessments designed to stretch your thinking, strengthen your communication skills, and bring your learning to life. Most modules include one to two assignments – helping you build confidence, test ideas and apply theory in more than one way.

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.

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

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

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

• Research dissertation: design and deliver an in-depth research project on a topic you care about. You’ll collect and analyse data, present your findings, and propose strategic recommendations backed by independent research.

Lead digital change. Solve business problems with data. Use AI tools to make smarter, faster decisions. This degree sets you up for high-impact roles in business analytics, innovation management, and digital transformation across industries. You’ll graduate ready to shape strategy, manage AI adoption, and build your future career in tech-driven organisations.

No coding? No problem. This course is designed for ambitious students from business or related backgrounds. You’ll gain practical skills in working with machine learning and AI technologies using no-code tools – and focus on their impact in real business contexts.

Companies building the future. Think global firms, tech consultancies, finance, healthcare, retail – anywhere using AI solutions to improve performance. Employers need people who can bridge tech and leadership. This degree gives you the knowledge and skills needed to do just that.

On this postgraduate taught degree, you’ll cover key concepts of business strategy, marketing, finance, and international business – plus two AI-focused modules on artificial intelligence and machine learning. You’ll explore ethical considerations, innovative business solutions, and gain knowledge of how to apply AI in everyday business. The focus? Giving you the tools to lead with insight and make an impact.

Your Master’s is delivered through face-to-face teaching at our central London campus, supported by structured independent study and digital learning tools. You’ll benefit from direct interaction with lecturers and peers, plus access to resources via our online learning platform.

Here’s what you can expect:

• Weekly in-person lectures and small-group tutorials

• Real-world case studies and collaborative problem-solving

• Guest speakers from industry and business

• Group discussions and peer feedback

• Structured tasks to help you apply theory to practice

• Flexible access to readings, recorded lectures, and learning materials via the VLE

You’ll follow a clear timetable for each semester and receive formative feedback to support your progress. As you move into your dissertation, you’ll work one-to-one with a supervisor to explore a research question related to your specialist pathway.