Unit Content
Outcomes
- Evaluate the role of business analytics in contemporary business and highlight how they are being transformed through use of AI as the modern approach
- Select appropriate business analytics and AI tools to effectively analyse a variety of data;
- Explain and present analysed data in a useful and compelling way;
- Assess the capacity of AI to solve business problems;
- Apply AI-driven solutions to real-world business problems.
Subject Content
- Introduction to Business Analytics and AI
- Data Collection and Preparation for AI
- Statistical Analysis for Business 1
- Statistical Analysis for Business 2
- Machine Learning Fundamentals and Supervised Learning Algorithms
- Unsupervised Learning and Clustering
- Natural Language Processing and Text Analytics
- Computer Vision and Image Analysis
- Deep Learning and Neural Networks
- AI in Business Strategy and Decision-Making
- AI Ethics and Responsible AI
- AI Implementation and Case Studies in Business
This course may be offered in the following formats
- Face to face on site
- E-learning (online)
- Intensive
- Extensive
Please consult your course prospectus or enquire about how and when this course will be offered next at Alphacrucis University College.
Assessment Methods
- Minor Essay (20%)
- Exam (50%)
- Presentation (30%)
Prescribed Text
Sharda, R., Delen, D., & Turban, E. (2023). Business Intelligence, Analytics, Data Science, and AI, 5th edition. Pearson.
Check with the instructor each semester before purchasing any textbooks
