Details for BUS205 Business Analytics and Artificial Intelligence

Quick Stats

• Currently offered by Alphacrucis: Yes
• Course code: BUS205
• Credit points: 10

Subject Coordinator

Prerequisite

The following is a prerequisite:

• BUS104 Introduction to Business Analytics

Unit Content

Outcomes

1. Evaluate the role of business analytics in contemporary business and highlight how they are being transformed through use of AI as the modern approach
2. Select appropriate business analytics and AI tools to effectively analyse a variety of data;
3. Explain and present analysed data in a useful and compelling way;
4. Assess the capacity of AI to solve business problems;
5. Apply AI-driven solutions to real-world business problems.

Subject Content

1. Introduction to Business Analytics and AI
2. Data Collection and Preparation for AI
3. Statistical Analysis for Business 1
4. Statistical Analysis for Business 2
5. Machine Learning Fundamentals and Supervised Learning Algorithms
6. Unsupervised Learning and Clustering
7. Natural Language Processing and Text Analytics
8. Computer Vision and Image Analysis
9. Deep Learning and Neural Networks
10. AI in Business Strategy and Decision-Making
11. AI Ethics and Responsible AI
12. AI Implementation and Case Studies in Business

This course may be offered in the following formats

• Face to face (extensive)
• Face to face (intensive)
• E-learning (online)

Please check the timetable to see when this subject will next be offered at Alphacrucis University College.

Assessment Methods

1. Minor Essay (20%)
2. Exam (50%)
3. Presentation (30%)

Prescribed Text

• Sharda, R., Delen, D., & Turban, E. (2023). Business Intelligence, Analytics, Data Science, and AI, 5th edition. Pearson.