| Unit name | Artificial Intelligence in Business |
|---|---|
| Unit code | MGRCM0061 |
| Credit points | 20 |
| Level of study | M/7 |
| Teaching block(s) |
Academic Year (weeks 1 - 52) |
| Unit director | Dr. Fornes |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
N/A |
| Units you must take alongside this one (co-requisite units) |
N/A |
| Units you may not take alongside this one |
N/A |
| School/department | University of Bristol Business School |
| Faculty | Faculty of Arts, Law and Social Sciences |
Why is this unit important?
“The advance of technology is based on making it fit in so that you don’t really even notice it, so it’s part of everyday life” Bill Gates, Co-founder of Microsoft.
This is the main aim of this unit, how to incorporate AI in people’s lives so it makes business sense. For this, the unit will focus on developing an understanding of the key role AI is playing as one of the most important digital technologies for global business transformation and value creation. AI can be used to radically reduce costs, revolutionise customer experience, and enable breakthrough innovation that creates new business value; harnessing its power requires bringing together a sound understanding of how organisations work and create value.
How does this unit fit into your programme of study
The Artificial Intelligence in Business unit is a central unit of the programme as it is focused directly on the key concepts relevant to managing organisations in an increasingly digitised business. The unit also aims at sharping the strategic vision of participants on how AI can strengthen existing or create new business models. Furthermore, this unit builds the ground for the capstone project.
An overview of content
This unit will guide students to build the capabilities to make decisions about AI and create value for business. It will do so by critically analysing how AI and its uses (e.g. generative AI, automation, data modelling, edge computing, etc) are instrumental towards creating or strengthening business models and ensuring sustainable economic growth.
How will students, personally, be different as a result of the unit
By the end of the unit, students would have developed the skills to critically evaluate issues and challenges in the application and use of AI to create business value. In addition, students will be able to draw on this knowledge to evaluate relevant regulatory environments for emerging technologies.
Learning Outcomes (LOs)
On successful completion of this unit, you will be able to
Overview of the teaching pattern
The teaching pattern for this unit will comprise of:
Rationale for the proposed teaching pattern
The ability to appraise the application of specific technologies (AI) to create business value requires developing critical thinking skills with respect to contemporary research and its bearing on the real-life problems faced by organisations. In order to develop these critical thinking skills, the assessments are centred on the critical debate, application of theory, reflection, and problem-driven inquiry. In addition, all sessions will promote interaction and discussion of the current affairs in the business world and the evaluation of the relevance of the theory taught. Meanwhile, the pre-recorded teaching material and independent learning using the provided materials on Blackboard will enable students to develop their knowledge and understanding of the subject.
Tasks which count towards your unit mark (summative)
When assessment does not go to plan
If deemed eligible for reassessment after failing the summative piece of assessment, students will be asked to submit a new assignment on a different topic but corresponding to the respective failed assignment outline and requirements (i.e. group presentation or reflective essay). For example, if a student fails the reflective essay, they will have to submit a new reflective essay but choose a different topic – in this case, a different set of concepts and theories to discuss. The group presentation will have to be repeated at an alternative date. If only one or two group members fail the group assessment, they will have to prepare an individual presentation.
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. MGRCM0061).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the University Workload statement relating to this unit for more information.
Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
