BSc Business and Artificial Intelligence
Entry requirements
A level: AAB IB: Pass, with 34 points overall with 17 points at Higher Level
About this course
Bachelor of Science in Business and Artificial Intelligence, a BSc (Hons) Data Science and Business Information Technology and Business Management degree focused on commercial applications of machine learning and computational techniques. Core topics include Artificial Intelligence & Machine Learning, Data Analysis, Statistics, Accounting, Entrepreneurship, Project Management, and Research Methods. The curriculum culminates in an independent final-year project centred on designing an AI-driven business solution. Throughout the three years, students examine the intersection of corporate management and advanced technology. The first year establishes baseline knowledge through compulsory modules such as Analytics Implementation I: Spreadsheets and Databases, Digital Technologies in Business, Fundamentals of Artificial Intelligence in Business, Introduction to Accounting and Finance, Introduction to Management, Introduction to Marketing for Accounting and Finance, and Management Analysis, alongside optional choices including Predictive Analytics I: Regression and combinatorial techniques and Prescriptive Analytics I: Fundamentals of Management Sciences. The second year addresses ethical integration and digital strategy via compulsory study in AI in Business and Society – Ethics and Sustainability, Analytics Implementation II: Visualising Data for Effective Communication, Blockchain, the Internet of Things, and Other Technologies Complementary to AI, Implementing Digital Transformation to Utilise AI, Neural Networks, Machine Learning and Deep Learning Applied to Business, and Operations Management, with optional modules covering Consulting: Context, Concepts and Practice, Digital Business Models, Financial Management, and Innovation, Technology and the Environment. The final year focuses on advanced applications and independent execution through compulsory modules like Analytics Implementation III: Knowledge Management, Methods and Ethics, Digital Entrepreneurship, Final Project: AI-Driven Business Solution, Human-Machine Augmentation and Robotics in Business, Marketing in the Digital Age, and Project Management, supplemented by optional choices such as Strategic Operations Management and Technological Innovation.
Modules
- Analytics Implementation I: Spreadsheets and Databases
- Digital Technologies in Business
- Fundamentals of Artificial Intelligence in Business
- Introduction to Accounting and Finance
- Introduction to Management
- Introduction to Marketing for Accounting and Finance
- Management Analysis
- Predictive Analytics I: Regression and combinatorial techniques
- Prescriptive Analytics I: Fundamentals of Management Sciences
- AI in Business and Society – Ethics and Sustainability
- Analytics Implementation II: Visualising Data for Effective Communication
- Blockchain, the Internet of Things, and Other Technologies Complementary to AI
- Implementing Digital Transformation to Utilise AI
- Neural Networks, Machine Learning and Deep Learning Applied to Business
- Operations Management
- Consulting: Context, Concepts and Practice
- Digital Business Models
- Financial Management
- Innovation, Technology and the Environment
- Analytics Implementation III: Knowledge Management, Methods and Ethics
- Digital Entrepreneurship
- Final Project: AI-Driven Business Solution
- Human-Machine Augmentation and Robotics in Business
- Marketing in the Digital Age
- Project Management
- Strategic Operations Management
- Technological Innovation