BUU33806 Digital & AI Strategy 2025/26
(5 ECTS)
Lecturer:
Dr. Ayushi Tandon
Email: tandonay@tcd.ie
Office Hours: Will be shared in the beginning of module (appointment by email) Room 408
Available to Exchange students
Module Description
This 5 ECTS module delves into how digital technologies and AI profoundly reshape modern business. The curriculum equips students to understand digital and AI infrastructure basics, critically analyze existing processes, and competitive market dynamics. These factors collectively influence the successful implementation of digital and AI initiatives. The module is designed to foster a critical understanding of digital systems, the human element within these systems, business processes, and the external environment. Through business case analyses in lectures, students will learn to comprehend digital technologies and recommend effective alignment of information systems with overall business objectives. Students will gain the skills necessary to strategize for the integration of digital technologies across various organizational functions and to justify efforts toward AI product or digital service innovations.
The primary objective of this module is to develop a fundamental understanding of how organizations can comprehend and respond to the evolving digital landscape and the AI revolution. A secondary focus is on analyzing available strategies for digital intervention and AI innovation. Throughout the module, students will engage with theories and frameworks, complemented by real-world examples that go beyond standard textbook offerings. Students can refer this artefact to get understanding of module outline and learning objectives digital&AI strategy
Learning and Teaching Approach
This module takes an application and case-based approach to teaching digital and AI strategies. There are no prerequisites, just a keen interest in digital technologies and the ever-evolving digital and AI ecosystems. Primary teaching strategy combines lectures on theories and frameworks with in-class, case-based discussions.
Students will receive materials, including case studies, videos, Instagram Reels, and podcasts, via Blackboard. After each session, notes on the theories and frameworks covered will be uploaded to Blackboard weekly. Performance will be assessed through: An individual in-class assessment before reading week. A two-stage (week 11 and week 15), double-diamond-based evaluation of the group project. This approach encourages learning-by-doing throughout the course. Students will receive a list of themes for the group projects, with some relevant to Dublin's digital and AI ecosystem, offering a chance to understand the local landscape.
This year, we will be discussing cases related to chatbots, virtual reality campuses, luxury retail, sports, corporate aviation, and museums.
Module Level Learning Outcomes
Upon successful completion of this module, students should be able to:-
- Understand the fundamentals of digital technologies and AI.
- Analyze the impact of adopting digital technologies and AI on internal business processes within an organization.
- Evaluate the strategic requirements that influence the deployment of digital and AI innovations
- Assess potential digital interventions and their implications.
- Apply theoretical frameworks to real-world examples from various industries.
- Develop comprehensive digital and AI strategy proposals tailored to specific business processes or entire organizations.
Relation to Degree
This module directly supports essential learning outcomes related to technology strategy, which is crucial for not only business students but also any student navigating today's digital landscape. A comprehensive knowledge and understanding of digital and AI initiatives, encompassing core concepts such as digitization, digital transformation, and platformatization, are now considered fundamental concepts in any contemporary workplace. Furthermore, this module equips students with the strategic frameworks and practical skills necessary for careers as digital/AI consultants or strategic analysts across diverse organizations.
Workload
| Content |
Indicative Number of Hours |
|---|---|
| Lecturing hours | 22 |
| Preparation for lectures | 11 |
| Preparation for individual assessment | 20 |
|
Preparation for group project |
50 |
|
Reflection on lecture and case discussion |
22 |
| Total | 125 |
Textbooks and Required Resources
Required core course textbook:
Readings and other materials along with notes for each session will be uploaded to Blackboard.
General Supplemental Material
Students interested in developing a more specialized understanding could refer to:-
https://data-feminism.mitpress.mit.edu/
Course Communication
Please note that all course related email communication must be sent from your official TCD email address. Emails sent from other addresses will not be attended to.
All email communication related to the group project (including the submission of the assignment via email) must be copied to all group members. Emails that are not copied to all group members will not be attended to, and do not count as formal submissions for the purpose of relevant deadlines. Missed deadlines will result in grade penalties.
Students are encouraged to follow the course Instagram handle https://www.instagram.com/https302.selflearn/
Assessment
Please also consult the assessment guidelines uploaded at Blackboard.
| Assessment | Format and assessment week | % Total Marks |
|---|---|---|
| Individual assessment |
In class, week 9, before reading week. |
40% |
| Group Assignment part 1 |
One page submission, week 11, after reading week. |
20% |
| Group Assignment part 2 | Report submission and in-class presentation, week 15 Format and assessment rubric will be uploaded on the blackboard. | 40% |
Late submission policy: Groups unable to make submissions at the submission date will only be excused on the basis of extenuating circumstances. Students must produce suitable documentation to Trinity Business School and to the lecturer within five working days of the missed submission date.
For the individual in-class assessment, students who do not appear will be marked absent and receive zero marks unless otherwise agreed upon.
Accommodation for Students with Disabilities:
To promote inclusivity, all revision materials will be made available on Blackboard after each class, presented in appropriate font styles and sizes. For the individual in-class assessment, will provide suitable accommodations as much as possible, working in close collaboration with the Trinity Disability Service.
Biographical Note:
Dr. Ayushi Tandon is Assistant Professor at Trinity Business School. Her research interests include user engagement with digital platforms and the economic and societal implications of digital technology usage. She has published experiment-based research leveraging mobile applications, as well as qualitative research on accessibility in virtual technology and the digitalization of women's health records in India. Her recent work has appeared in Information Systems Research, Information Technology for Development, and the Journal of Workplace Learning. Ayushi was listed among 100 Brilliant Women in AI Ethics, 2022. Prior to her PhD in management, she worked as engineer at Qualcomm India on product lines such as Snapdragon.