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MIS10050

Academic Year 2026/2027

Digital Technologies in Business (MIS10050)

Subject:
Management Information Systems
College:
Business
School:
Business
Level:
1 (Introductory)
Credits:
5
Module Coordinator:
Dr Matthias Glowatz
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Digital Technologies, applications, and initiatives have become an integral part of all business activities. Throughout this applied, hands-on module, students will gain insights into both the opportunities and challenges posed by conducting business in an increasingly digital domain.

MIS10050 provides students with essential Artificial Intelligence (AI) literacy, practical AI prompt engineering skills, and the ability to evaluate AI outputs critically. Students will explore how AI and Generative AI (GenAI) are transforming industries, enhance business problem-solving using structured AI workflows, and learn responsible and ethical AI usage in both academic and organisational settings.

Throughout the trimester, students will

- Research how innovative digital technologies have transformed a real organisation.
- Design a mobile application prototype for an organisation (no programming/coding skills required)
- Become familiar with using industry-standard AI tools both efficiently and ethically.

About this Module

Learning Outcomes:

On completion of this module, students will be able to :

• Understand how businesses are using digital platforms and initiatives for operational efficiency and to be competitive.
• Be aware of emerging digital technologies.
• Explain core concepts underpinning AI and GenAI.
• Apply structured AI prompt engineering techniques to generate high‑quality AI outputs.

Indicative Module Content:

Gathering business intelligence and financial data using the Financial Times (ft.com)
Review of the principles of Artificial Intelligence (AI) and opportunities to deploy AI solutions
AI Development of a prototype AI application using current tools
AI Prompt Engineering

UNESCO highlights a set of key competencies that support individuals in their development and support society in achieving the UN Sustainable Development Goals (SDGs). UCD has adapted these competencies and is combining them with others to form a general framework of learning competencies. This module will help you develop the competencies below to the levels specified. 
Learning Competency Additional Information Level

Collaboration

 The ability to learn from others; to understand and respect the needs, perspectives and actions of others (empathy); to understand, relate to and be sensitive to others (empathic leadership); to deal with conflicts in a group; and to facilitate collaborative and participatory problem solving. Novice

Critical Thinking

 The ability to question norms, practices and opinions; to reflect on one’s own values, perceptions and actions. Advanced Beginner

Systems Thinking

 The ability to recognize and understand relationships; to analyse complex systems; to think of how systems are embedded within different domains and different scales; and to deal with uncertainty. Advanced Beginner

Strategic

 The ability to collectively develop and implement innovative actions that further sustainability at the local level and further afield. Novice

Integrated Problem Solving

 The overarching ability to apply different problem-solving frameworks to complex sustainability problems and develop viable, inclusive and equitable solution options that promote sustainable development, integrating the competencies in this list. Novice

Self-awareness

 The ability to reflect on one’s own role in the local community and (global) society; to continually evaluate and further motivate one’s actions; and to deal with one’s feelings and desires. Not addressed

Normative

 The ability to understand and reflect on the norms and values that underlie one’s actions; and to negotiate values, principles, goals, and targets, in a context of conflicts of interest and trade-offs, uncertain knowledge and contradictions. Not addressed

Anticipatory

 The ability to understand and evaluate multiple scenarios for the future – possible, probable and desirable; to create one’s own visions for the future; to apply the precautionary principle; to assess the consequences of actions; and to deal with risks and changes. Not addressed

Digital Literacy and Judgement

 The ability to access, evaluate, create and communicate information in digital environments; to engage critically, ethically and responsibly with digital technologies and digital information; to understand their opportunities, limitations, risks and impact on individual’s digital identities; and to exercise informed judgement in digital participation and decision-making. Advanced Beginner

AI Literacy & Agency

 The ability to understand, critically evaluate and responsibly engage with artificial intelligence; to recognise how AI systems are shaped by human values; to assess their ethical, social and environmental implications; and to exercise human judgement, agency and accountability in AI-related contexts. Competent

Wellbeing

 Wellbeing is having the resources and skills to meet life's challenges, including attributes such as personal development skills, resilience, stress management, strengths, lifestyle skills, nutrition, physical activity, sleep, alcohol/substance use, academic skills, time management, goal setting, interpersonal skills, group work, communication. Not addressed

The United Nations identified seventeen Sustainable Development Goals (SDGs) as core to the 2030 Agenda for Sustainable Development, and UCD contributes in general to SDG 4 Quality Education. Further SDGs explored within this module if relevant are listed below. A scale of 1 - 5 indicates the extent to which the SDG is covered.


Goal Name Description Coverage

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all 1

Take urgent action to combat climate change and its impacts 2
 

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

36
Autonomous Student Learning

56
Small Group

12
Total

104

Approaches to Teaching and Learning:
This module is based largely on practical work, building skills using current business technology tools.
Also, students will research technology trends and events using readings assigned, mainly from UCD's Financial Times online subscription.
Students will gain AI prompt engineering skills and develop a mobile application prototype.
Assessment is based on in-class activities and a variety of different assignment submissions, such as MCQ, presentation, learning journal creation, or poster submission.

Referencing:
Harvard Style Referencing is required for all assignment submissions. (https://libguides.ucd.ie/harvardstyle)

Generative Artificial Intelligence (GenAI):
This module requires students to use specific AI and GenAI tools, such as ChatGPT, Microsoft CoPilot, or Google Gemini. These tools will be integrated into learning activities, and guidance will be provided on their appropriate, responsible, and ethical use.

All use of AI and GenAI must be cited appropriately in accordance with UCD Library Guidelines (Harvard Style Referencing). GenAI-related referencing guidelines can be found here: https://libguides.ucd.ie/harvardstyle/harvardgenAI.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
MIS10020 - Intro to Computers & Info Sys, MIS10070 - ICT for Decision Support, SMGT10030 - Information Technology


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Group Work Assignment: Group project presentation (online, pre-recorded) Week 6 Standard conversion grade scale 40% No
30
 No
Individual Project: Project Poster and Mobile App Prototype Week 12 Standard conversion grade scale 40% No
50
 No
Quizzes/Short Exercises: Online MCQ quiz to be completed in class Week 10 Alternative linear conversion grade scale 40% No
20
 No

As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.


Carry forward of passed components
No
 

Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Matthias Glowatz Lecturer / Co-Lecturer
Barrak Albabtain Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Small Group Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 12:00 - 12:50
Spring Small Group Offering 2 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 14:00 - 14:50
Spring Small Group Offering 3 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 09:00 - 09:50
Spring Small Group Offering 4 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 16:00 - 16:50
Spring Small Group Offering 5 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 10:00 - 10:50
Spring Small Group Offering 6 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 10:00 - 10:50
Spring Small Group Offering 7 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 09:00 - 09:50
Spring Small Group Offering 8 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 11:00 - 11:50
Spring Small Group Offering 9 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 11:00 - 11:50
Spring Small Group Offering 10 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 10:00 - 10:50
Spring Small Group Offering 11 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 11:00 - 11:50
Spring Small Group Offering 12 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 15:00 - 15:50
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