MBA Artificial Intelligence - Online
14 monthsProgramme duration
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MBA
Study Level
MBA
Study Mode
Online
Online MBA in Artificial Intelligence
Advance your career at the intersection of business and technology—without stepping away from work.
The Walbrook MBA in Artificial Intelligence is tailored for professionals ready to lead in AI-driven environments. Aligned with the Institute of Directors’ Competency Framework, this programme combines essential business leadership skills with practical, hands-on expertise in AI and machine learning, empowering you to shape strategy, foster innovation, and drive business results.
You’ll learn how AI transforms key business functions such as finance, operations, marketing, and decision-making, while building strengths in strategic thinking, leadership, and ethical AI deployment. With personalised support and a research project designed around your objectives, this MBA offers a powerful springboard for your next career move.
Study entirely online from anywhere in the world, and begin your studies in any month from July 2025. Progress through the programme at your own pace—full-time or part-time—and earn your MBA in as little as 14 months.
Programme Overview: MBA Artificial Intelligence Online
This MBA blends advanced business education with in-depth knowledge of AI and machine learning, exploring how intelligent technologies drive business performance and shape executive decisions. Gain the confidence to lead innovation, steer change, and manage transformation across a variety of sectors.
Modules
Join a vibrant community with monthly intakes, progressing through a series of expertly crafted modules alongside peers tackling the same subject matter.
- Fundamentals of Artificial Intelligence: Develop a practical understanding of how AI operates in the business world. Work with no-code tools such as AutoML and Power BI to explore automation, data analysis, and decision-making support.
- Principles of Machine Learning: Delve into the mechanics and business applications of machine learning, from classification and forecasting to pattern recognition. Learn how non-specialists can effectively oversee machine learning projects.
- Environmental Focus: Explore the intersection between emerging technologies and environmental responsibility. Examine how AI can support sustainability initiatives and the importance of balancing innovation with ethical considerations.
- Strategy Formulation and Implementation: Apply proven frameworks to build AI-informed business strategies that promote growth, efficiency, and innovation, working with real or hypothetical organisations.
- Change Management: Master the leadership skills needed for successful AI adoption, discovering techniques to manage transitions, address resistance, and implement impactful innovation.
- Marketing Communication: Analyze the role of AI in transforming customer engagement, with a focus on data-driven marketing, automation, and brand strategy amid digital transformation.
- Agile HRM: Examine agile approaches to people management in technology-focused organisations, learning to nurture cross-functional teams and align people strategies with digital change.
- Financial and Business Intelligence: Use financial data and AI tools to inform strategic decisions, drive performance, create forecasts, and resolve practical business challenges with business intelligence systems.
- Research Methods: Build foundational research skills to examine AI or business topics in depth, including the development of research questions, source analysis, and ethical data collection.
- Research Development: Identify your focus area for the final project, investigate an AI challenge, and refine your approach through feedback and reflection.
- Research Project: Execute an applied research project on artificial intelligence in business, culminating in strategic recommendations based on independent research.
Flexible Self-Study
Each module is designed to fit within an eight-week timeline, allowing you to structure your studies around your life and commitments.
Your study experience will include:
- Interactive programme content delivered through our digital platform.
- Case studies and practical exercises linking theory to real-world business settings.
- Support in preparing for a variety of assessments, including reports, proposals, and project work.
You’ll benefit from:
- Comprehensive digital learning resources, including readings, videos, and research tools.
- Access to an extensive digital library for your independent research.
- Ongoing student support, including academic guidance and access to dedicated support teams.
Career Prospects: MBA Artificial Intelligence Online
Graduates of our MBA in Artificial Intelligence are equipped to lead innovation and transformation in one of the most dynamic areas of business. Whether you’re streamlining operations, setting strategy, or launching new AI-enabled products, this programme strengthens your leadership while growing your practical expertise in AI. It’s designed to open doors to high-impact roles within tech-driven organisations—and beyond.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MBA
Study Level
MBA
Study Mode
Online
Online MBA in Artificial Intelligence
Advance your career at the intersection of business and technology—without stepping away from work.
The Walbrook MBA in Artificial Intelligence is tailored for professionals ready to lead in AI-driven environments. Aligned with the Institute of Directors’ Competency Framework, this programme combines essential business leadership skills with practical, hands-on expertise in AI and machine learning, empowering you to shape strategy, foster innovation, and drive business results.
You’ll learn how AI transforms key business functions such as finance, operations, marketing, and decision-making, while building strengths in strategic thinking, leadership, and ethical AI deployment. With personalised support and a research project designed around your objectives, this MBA offers a powerful springboard for your next career move.
Study entirely online from anywhere in the world, and begin your studies in any month from July 2025. Progress through the programme at your own pace—full-time or part-time—and earn your MBA in as little as 14 months.
Programme Overview: MBA Artificial Intelligence Online
This MBA blends advanced business education with in-depth knowledge of AI and machine learning, exploring how intelligent technologies drive business performance and shape executive decisions. Gain the confidence to lead innovation, steer change, and manage transformation across a variety of sectors.
Modules
Join a vibrant community with monthly intakes, progressing through a series of expertly crafted modules alongside peers tackling the same subject matter.
- Fundamentals of Artificial Intelligence: Develop a practical understanding of how AI operates in the business world. Work with no-code tools such as AutoML and Power BI to explore automation, data analysis, and decision-making support.
- Principles of Machine Learning: Delve into the mechanics and business applications of machine learning, from classification and forecasting to pattern recognition. Learn how non-specialists can effectively oversee machine learning projects.
- Environmental Focus: Explore the intersection between emerging technologies and environmental responsibility. Examine how AI can support sustainability initiatives and the importance of balancing innovation with ethical considerations.
- Strategy Formulation and Implementation: Apply proven frameworks to build AI-informed business strategies that promote growth, efficiency, and innovation, working with real or hypothetical organisations.
- Change Management: Master the leadership skills needed for successful AI adoption, discovering techniques to manage transitions, address resistance, and implement impactful innovation.
- Marketing Communication: Analyze the role of AI in transforming customer engagement, with a focus on data-driven marketing, automation, and brand strategy amid digital transformation.
- Agile HRM: Examine agile approaches to people management in technology-focused organisations, learning to nurture cross-functional teams and align people strategies with digital change.
- Financial and Business Intelligence: Use financial data and AI tools to inform strategic decisions, drive performance, create forecasts, and resolve practical business challenges with business intelligence systems.
- Research Methods: Build foundational research skills to examine AI or business topics in depth, including the development of research questions, source analysis, and ethical data collection.
- Research Development: Identify your focus area for the final project, investigate an AI challenge, and refine your approach through feedback and reflection.
- Research Project: Execute an applied research project on artificial intelligence in business, culminating in strategic recommendations based on independent research.
Flexible Self-Study
Each module is designed to fit within an eight-week timeline, allowing you to structure your studies around your life and commitments.
Your study experience will include:
- Interactive programme content delivered through our digital platform.
- Case studies and practical exercises linking theory to real-world business settings.
- Support in preparing for a variety of assessments, including reports, proposals, and project work.
You’ll benefit from:
- Comprehensive digital learning resources, including readings, videos, and research tools.
- Access to an extensive digital library for your independent research.
- Ongoing student support, including academic guidance and access to dedicated support teams.
Career Prospects: MBA Artificial Intelligence Online
Graduates of our MBA in Artificial Intelligence are equipped to lead innovation and transformation in one of the most dynamic areas of business. Whether you’re streamlining operations, setting strategy, or launching new AI-enabled products, this programme strengthens your leadership while growing your practical expertise in AI. It’s designed to open doors to high-impact roles within tech-driven organisations—and beyond.
Admission Requirements
Every application is unique. If you’re unsure whether you meet the entry requirements or have any questions, please reach out to us for guidance.
Previous Study and Professional Experience To be eligible for the Walbrook MBA, you must meet one of the following:
Option 1:
- Hold a 2:2 honours degree (or equivalent) from a recognised institution, and
- Have at least 2 years of relevant professional experience
Option 2:
- Have 2 or more years of relevant work experience
Recognition of Prior Learning If you have prior studies or are considering transferring from another institution, you may be able to transfer up to 60 credits towards your MBA (note: credits cannot be granted for the Research Development or Capstone Project modules).
- Review our recognition of prior learning procedures
- Speak with our Enrolment Team
- Submit a recognition of prior learning form along with your application
Other Qualifications International qualifications may be accepted, provided they can be verified for equivalency—typically through ECCTIS (also known as UK ENIC).
English Language Requirements If English is not your first language, you'll need to demonstrate English proficiency by one of the following methods. You may also be eligible if you have previously studied in English at an appropriate level from a recognised institution.
- IELTS: Overall score of 6.5 or above, with no section below 6.0
- TOEFL iBT®: Total score of at least 88 (with at least 18 in reading, 19 in listening, 19 in speaking, and 23 in writing)
- Trinity College London Integrated Skills in English (ISE): Level II with distinction in each skill (results valid for two years)
- Cambridge Certificate of Proficiency or Advanced English: Overall score of 176, with no component below 169
If you need further details, please contact our team.
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