Postgraduate Course: Planning AI Transformation in Organisations (CMSE11709)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | AI is transforming the way businesses operate and compete. Surviving in today's business landscape demands that leaders embed AI across different aspects of their business. The course introduces the core elements of AI transformation, including envisioning, strategic organisational transformation and development, and preparing for change. It will include critical evaluation of theories, evidence, case studies and practical tools relevant to AI integration into practice. |
| Course description |
Artificial Intelligence is transforming the ways that corporations do business. This course develops an understanding of how AI are leading to better business outcomes by automating, augmenting, or transforming business operations. In this course we will
explore changes in the business models, business processes, and growth strategies of organisations and offer insights into how to build, and capitalise on, new AI capabilities to achieve higher business opportunities. By enrolling in this course, students will acquire the expertise to plan for avenues for value creation through artificial intelligence (AI) within the wider digital transformation strategy, prepare for and evaluate the associated risks and challenges for adopting AI into practice, and develop strategies for sustained transformation.
Outline Content:
The course will cover the following broad topics:
1. AI transformation strategy and planning: This involves aligning AI initiatives with business objectives, assessing current capabilities, and identifying areas where AI can drive significant value.
2. Planning for AI Adoption: Evaluating the organisation's readiness for AI adoption, which encompasses assessing technological infrastructure, data quality, workforce skills, and cultural readiness, and planning for implementation into practice.
3. Sustaining AI Initiatives: Once AI solutions are deployed, the focus shifts to sustaining and scaling these initiatives within the wider digital transformation strategy.
Student learning experience:
The course will be delivered over 4 weeks, 3 hour sessions involving a combination of lectures, case study discussions, and practical exercises where students will work in group to examine the planning and AI readiness practices within different areas of business applications. The workshops will offer students the opportunity to discuss and present their analyses of the selected case studies to receive formative feedback on their approach.
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Course Delivery Information
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| Academic year 2026/27, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Block 1 (Sem 1) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 8,
Seminar/Tutorial Hours 3,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
87 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
0 %,
Practical Exam
100 %
|
| Additional Information (Assessment) |
100% Presentation (Individual) - 15 minutes - Assesses all course Learning Outcomes |
| Feedback |
Formative: Feedback will be given during the workshops, where students will be working in groups on a selected project and they are asked to briefly present their analysis of particular AI use in a selected industry. Based on this, they will select a hypothetical organisation and pitch an AI adoption plan to a panel, simulating a pitch to stakeholders or investors. They receive formative feedback on this group pitch for their final assignment.
Summative: Feedback will be provided on assessment within agreed deadlines. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate and apply a critical understanding of understanding of AI transformation and its core elements, including visioning, strategy, defining outcomes.
- Critically reflect on available theories, evidence, application, and experience of managing AI transformation.
- Apply logical, analytical, and problem-solving skills to influence successful AI transformation in organisations
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Additional Information
| Graduate Attributes and Skills |
Cognitive Skills
After completing this course, students should be able to:
Understand how to manage and sustain successful individual and group relationships in order to achieve
positive and responsible outcomes, in a range of virtual and face-to-face environments.
Be self-motivated; curious; show initiative; set, achieve and surpass goals; as well as demonstrating adaptability, capable of handling complexity and ambiguity, with a willingness to learn; as well as being able to demonstrate the use digital and other tools to carry out tasks effectively, productively, and with attention to quality.
Communication, ICT, and Numeracy Skills
After completing this course, students should be able to:
Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.
Practice: Applied Knowledge, Skills and Understanding
After completing this course, students should be able to:
Apply creative, innovative, entrepreneurial, sustainable and responsible business solutions to address social, economic and environmental global challenges.
Knowledge and Understanding
After completing this course, students should be able to:
Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines; comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary and secondary research and sources of evidence in order to make, and present, well informed and transparent organisation-related decisions, which have a positive global impact.
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| Keywords | Planning,AI,Transformation |
Contacts
| Course organiser | Dr Hajar Mozaffar
Tel: (0131 6)51 5007
Email: Hajar.Mozaffar@ed.ac.uk |
Course secretary | |
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