Location

London, United Kingdom

Call Us

(+021) 582 198

Email

info@mcqueensglobal.com

MBA in
Data Science and AI

Duration

01 Year

Course Type

Blended Learning

Year of Entry

2025/2026

Tuition Fees

£6950

Details

Course Overview

The MBA in Data Science and Artificial Intelligence (Top-Up) programme is designed for professionals who want to combine advanced business management knowledge with modern data-driven technologies. The course focuses on developing strategic leadership skills while providing a strong understanding of data science, artificial intelligence, and their applications in business environments.

Graduates of this programme gain the expertise required to lead digital transformation initiatives and manage data-driven projects across a wide range of industries, preparing them for leadership roles in today’s technology-focused global economy.

This MBA Top-Up is designed for professionals with a Level 7 qualification aiming to gain a UK-accredited MBA with cutting-edge expertise in:

  • AI Integration
  • Data-Driven Decision Making
  • Digital Transformation Strategy

Course Requirements

The MBA in Data Science and AI programme helped me understand how organisations transform raw data into meaningful insights. The modules were well designed and provided a strong mix of business management knowledge and practical data analytics skills for modern decision-making.

Ethan Holloway

Data Strategy Specialist

This course gave me a deeper understanding of artificial intelligence and its role in business strategy. The programme helped me develop analytical thinking, leadership abilities, and practical knowledge required to manage data-driven projects in today’s technology-focused organisations.

Olivia Kensington

AI Innovation Consultant

Modules

Programme Modules

Management Project Methods

Learn academic research methods Develop and present your research proposal (2500 words) Focus on topics such as cyber risk, compliance, or digital resilience

20 Credits

Strategic Management Project

Produce an applied dissertation (10000 words) Address IT governance, digital threat preparedness, or data privacy compliance Align academic work with real-world challenges

40 credits
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