Global MBA (Computing and AI) 12 months MBA Programme By London School of Business and Finance |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

9,500 GBPTuition Fee/year

Starting Month

Jan, Apr, Jul, OctStarting Month

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MBA

Study Level

MBA

Study Mode

Online

The MBA specialisation in Computing and AI is designed to equip professionals with cutting-edge knowledge and advanced skills in leveraging computational technologies and artificial intelligence technology to drive innovation, optimise processes, and lead digital transformation. This MBA in AI program focuses on the practical applications of AI and computing frameworks to solve complex business challenges, enhance decision-making, and deliver sustainable value in a technology-driven world. Through the two core modules—Ethical AI and Responsible Computing and Machine Learning and Deep Learning Applications—students gain a comprehensive understanding of the principles, strategies, and ethical considerations in applying AI and computing technologies.  

Together, these modules provide an in-depth education for MBA students aspiring to lead in the fields of AI, machine learning, and advanced computing. Graduates will be prepared to implement AI technology solutions, design scalable machine learning models, and navigate the ethical and regulatory landscapes of these rapidly evolving technologies. This masters in ai specialization empowers professionals to innovate, lead cross-functional teams, and foster a competitive edge in the global business environment. 

If you’re considering an AI masters degree, this programme provides a strong foundation for leadership in digital innovation.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MBA

Study Level

MBA

Study Mode

Online

The MBA specialisation in Computing and AI is designed to equip professionals with cutting-edge knowledge and advanced skills in leveraging computational technologies and artificial intelligence technology to drive innovation, optimise processes, and lead digital transformation. This MBA in AI program focuses on the practical applications of AI and computing frameworks to solve complex business challenges, enhance decision-making, and deliver sustainable value in a technology-driven world. Through the two core modules—Ethical AI and Responsible Computing and Machine Learning and Deep Learning Applications—students gain a comprehensive understanding of the principles, strategies, and ethical considerations in applying AI and computing technologies.  

Together, these modules provide an in-depth education for MBA students aspiring to lead in the fields of AI, machine learning, and advanced computing. Graduates will be prepared to implement AI technology solutions, design scalable machine learning models, and navigate the ethical and regulatory landscapes of these rapidly evolving technologies. This masters in ai specialization empowers professionals to innovate, lead cross-functional teams, and foster a competitive edge in the global business environment. 

If you’re considering an AI masters degree, this programme provides a strong foundation for leadership in digital innovation.

Admission Requirements

5.5+
  • Relevant undergraduate degree (any class, any subject area) or ACCA/CIMA or other equivalent professional qualifications.


  •  Applicants who do not meet the stated entry requirements may apply via the Mature Route. Applicants will be asked to provide evidence of three years’ managerial work experience, plus certificates/ transcripts of their highest qualifications achieved to date. Applications via this route are assessed on a case-by-case basis

12 Months
Jan
Apr

Tuition fees

Domestic
9,500 GBP
International
9,500 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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