Module overview
The project provides you with the opportunity to conduct a significant piece of independent research on a topic of your choice or a topic provided by a company
You will investigate a practical problem or issue relevant to your degree programme by collecting primary and/or secondary data with a focus on AI application to business
You will choose from two different project formats
· Academic article related to business and AI
· Business plan on an AI business solution
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- The ethical, social, and economic implications of AI deployment in business, emphasizing responsible management and decision-making.
- The analytical techniques necessary for AI-driven decision making enable effective strategy and problem-solving in complex business environments.
- How business analytics can inform decisions and drive a business by utilizing both AI and statistical methods.
- The core principles and practices of business and management provide a solid foundation for leadership in business.
- How AI technologies can drive innovation and efficiency across various sectors, enhancing business strategies and competitive advantage.
- The role and impact of AI in modern business practices, including its integration into business models and operations.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Use library and other resources, including the application of bibliographical skills.
- Evaluate and select AI solutions for complex problems by distinguishing the real value from the hype.
- Adapt to and manage change at an increasing faster rate, a vital skill in the rapidly evolving field of AI and management.
- Employ digital literacy skills, particularly in utilizing AI technologies and data analysis tools, to drive decision-making and innovation in business practices.
- Utilize critical thinking and AI-enhanced problem-solving skills across diverse business scenarios, preparing you to address and resolve challenges swiftly and efficiently.
- Use computing and IT resources effectively.
- Communicate complex ideas and arguments effectively, both orally and in writing, enhancing your ability to present and discuss both technical and strategic aspects of management and artificial intelligence.
- Demonstrate effective project management skills, including the ability to plan, execute, and manage both time and resources in AI-driven projects, ensuring successful outcomes.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Critically analyse and synthesize information with the help of management theories and AI applications from a variety of sources to develop new strategies that address complex business problems.
- Demonstrate proficiency in the use of AI tools and technologies for data analysis, aiding in the strategic decision-making process across various business contexts.
- Effectively communicate complex AI and management concepts, research findings, and strategic solutions to a variety of stakeholders.
- Demonstrate practices that are ethical, responsible and sustainable.
- Demonstrate how new technologies including AI can shape businesses and societies. Classify AI technologies, evaluate solutions and redesign processes and business models to utilize them. Reflect on how AI can support people and processes in an organization.
Syllabus
All students are required to attend lectures that will cover the following topics:
1. Overview of the project process
2. Foundations of Management Research
3. Developing AI applications
4. Research Ethics and Academic Integrity
Independent Guided Study
Beyond the scheduled lectures, students are expected to engage in significant independent guided study. This will involve:
· Reading and analyzing relevant literature on AI
· Developing and refining your project focus, which could be a new AI-driven business venture or a consulting project
· Learn to conduct basic applications on AI
· Preparing your final project report or presentation
Learning and Teaching
Teaching and learning methods
Teaching methods include: Private study
Guided study and research activity as advised by the supervisor
Practical experience
Personal reflection
Learning activities include:
· Teaching
· Project supervision
· Independent Study
Type | Hours |
---|---|
Project supervision | 6 |
Teaching | 24 |
Independent Study | 570 |
Total study time | 600 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Research project | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Research project | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Research project | 100% |