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Details for BUS205 Business Analytics and Artificial Intelligence

This subject will equip students with knowledge, tools and insights that with enhance your career prospects in this data-driven business landscape. We will explore a comprehensive foundation on business analytics and AI, their role in contemporary business, how they differ and why they are crucial for success. Through statistical analysis and data interpretation we will draw meaningful conclusions to assist decision making. We will then delve into machine learning fundamentals, algorithms, clustering and dimensionality reduction. From here will look at unstructured data, natural language processing test analytics and also various techniques like computer vision, image analysis, deep learning and neural networks. Finally, we will looks at implementation within the business organisation and processes. What are the implications of the use of AI and analytics and ensuring ethical practice that benefits all stakeholders.

Quick Stats

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

Subject Coordinator

Contact studentsupport@ac.edu.au for more information.

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

  1. Face to face on site
  2. E-learning (online)
  3. Intensive
  4. Extensive

Please consult your course prospectus or enquire about how and when this course will be offered next 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.
Check with the instructor each semester before purchasing any textbooks