2026/7, Trimester 2, Online (fully o,
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| Occurrence: | 001 |
| Primary mode of delivery: | Online (fully o |
| Location of delivery: | ONLINE |
| Partner: | |
| Member of staff responsible for delivering module: | Sujoy Bhattacharya |
| Module Organiser: | |
| Student Activity (Notional Equivalent Study Hours (NESH)) |
| Mode of activity | Learning & Teaching Activity | NESH (Study Hours) | NESH Description |
| Independent Learning | Practical classes and workshops | 12 | In weekly online live academic sessions, you will learn frameworks to explore how machine learning and AI can be used in various businesses. You will be focusing on real-world business scenarios and understand the strategic applications of AI and ML . |
| Independent Learning | Guided independent study | 188 | Independent reading: You will engage with materials on specific topics at your own pace. A variety of online resources (e.g., code samples, articles, textbooks, videos, etc.) will be provided to help you develop a deep understanding of the module content. |
| Total Study Hours | 200 | |
| Expected Total Study Hours for Module | 200 | |
| Assessment |
| Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words | Description |
| Practical Skills Assessment | 30 | 1~3 | Week 10 | HOURS= 15 slides | Assessment 1 designed to assess your ability to apply concepts from the module to a realistic business problem. The assessment focuses on how Artificial Intelligence (AI) and Machine Learning (ML) concepts can be used to support managerial decision-making, improve business performance and address organisational challenges.This assessment evaluates your understanding of AI and ML from a business and strategic perspective, rather than from a technical or programming standpoint. A presentation slide deck of 15 slides has to be uploaded, this is an individual assessment. |
| Essay | 70 | 1~2~3 | Week 13 | , WORDS= 2000 words | You will write a 2,000-word essay exploring how AI and machine learning enhance business analytics and organisational performance, while also addressing the ethical considerations and potential risks involved. |
| Component 1 subtotal: | 30 | | |
| Component 2 subtotal: | 70 | | | | |
| Module subtotal: | 100 | | | | |