Faculty of Intelligence

BSc (Hons) Generative Artificial Intelligence and Business Analytics

Duration
3 Years Full-Time
Award
BSc (Hons)
Delivery
Lakeshore Management College

AI literacy is not a technical elective. It is the foundational skill of the next generation of leaders. This programme equips graduates to interpret data models, make strategic projections, and lead organisations through intelligent transformation. Graduates leave Lakeshore prepared to operate at the intersection of data science, business strategy, and ethical technology governance.

Awarding Body Notice: This degree is awarded by our partner university. Lakeshore Management College is the delivery institution. Course content is indicative and subject to validation.

Module Breakdown

Introduction to Generative AI and Machine Learning
Business Analytics and Data Literacy
Digital Business Strategy
Quantitative Methods for Business
Academic and Professional Skills
Ethics in Technology and Society

Teaching Staff

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Prof. Charles Mfem
Programme Director

Prof. Mfem leads the BSc in Generative AI and Business Analytics, bringing over 25 years of experience at the intersection of AI research and strategic business consulting. He teaches modules in Strategic AI Implementation, Global Business Analytics, and the Capstone Consultancy Project, drawing on a career advising FTSE 100 organisations on digital transformation programmes.

FB
Dr. Frederic Bassey
Lead Academic, AI Ethics

Dr. Bassey is the lead voice on responsible AI at Lakeshore, teaching AI Ethics, Policy and Governance alongside Data Governance and Regulatory Compliance. His scholarship focuses on the legal and ethical frameworks that govern machine learning systems, and he supervises dissertations on AI and business innovation.

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Kingsley C. Akabuokwu
Industry Liaison and Practitioner Tutor

Kingsley bridges industry and academia on this programme, leading sessions in Business Analytics and Data Literacy, Predictive Analytics, and the Entrepreneurship in the Digital Economy module. His practitioner background in financial services analytics gives students direct exposure to how data science is applied in commercial settings.

Assessment Methods

Coursework and Reports
60%

Business case studies, analytical reports, and applied AI project documentation.

Examinations
20%

Formal assessments testing theoretical foundations in analytics and AI models.

Dissertation
20%

A 10,000–12,000 word independent research project in Year 3 on an AI and business topic of your choosing.

Career Prospects

Data Analyst and Business Intelligence Consultant
AI Strategy Manager
Digital Transformation Lead
Product Manager (AI/Tech)
Quantitative Analyst (Finance)
Technology Entrepreneur
Policy Advisor on AI Regulation

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Degree awarded by our partner university. Subject to validation. Course content indicative and may be subject to change.