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Programme Specification

PgDip Digital Business

Academic Year 2025/26

A programme specification is required for any programme on which a student may be registered. All programmes of the University are subject to the University's Quality Assurance processes. All degrees are awarded by Queen's University Belfast.

Programme Title PgDip Digital Business Final Award
(exit route if applicable for Postgraduate Taught Programmes)
Postgraduate Diploma
Programme Code MGT-PD-DB UCAS Code HECoS Code 100080 - International business - 100
ATAS Clearance Required No
Mode of Study Full Time
Type of Programme Postgraduate Length of Programme Full Time - 1 Academic Year
Total Credits for Programme 120
Exit Awards available CERT-PG

Institute Information

Teaching Institution

Queen's University Belfast

School/Department

Queen's Business School

Quality Code
https://www.qaa.ac.uk/quality-code

Higher Education Credit Framework for England
https://www.qaa.ac.uk/quality-code/higher-education-credit-framework-for-england

Level 7

Subject Benchmark Statements
https://www.qaa.ac.uk/quality-code/subject-benchmark-statements

The Frameworks for Higher Education Qualifications of UK Degree-Awarding Bodies
https://www.qaa.ac.uk/docs/qaa/quality-code/the-frameworks-for-higher-education-qualifications-of-uk-degree-awarding-bodies-2024.pdf

Business and Management (2023)

Accreditations (PSRB)

No accreditations (PSRB) found.

Regulation Information

Does the Programme have any approved exemptions from the University General Regulations
(Please see General Regulations)

Programme Specific Regulations

Candidates undertaking the MSc Digital Business who obtain an overall mark of 50% or more across taught modules worth 120 CATS points, but who fail any module at the second attempt, shall be eligible for the award of a Postgraduate Diploma only. An aggregate mark is calculated using 8 of the highest scoring 15 CAT modules across the entire programme.

Students with protected characteristics

Are students subject to Fitness to Practise Regulations

(Please see General Regulations)

No

Educational Aims Of Programme

Educational Aims:

i.Cultivate a rigorous learning environment that supports students’ intellectual, professional, and personal development by integrating multidisciplinary perspectives in digital business, equipping students with the analytical, technological, ethical, and strategic competencies required to navigate challenging business scenarios.

ii.Deliver a stimulating programme of study focused on integrating and applying digital technologies in business settings, covering key areas such as digital strategy, data analytics, artificial intelligence, and digital innovation. This curriculum prepares students to address modern challenges and leverage digital technologies for meaningful business transformation.

iii.Equip students with a comprehensive skill set that blends digital technology proficiency with strategic business acumen, enhancing their readiness for careers in roles such as digital strategy analyst and consultant, data analytics consultant, digital marketing analyst and consultant, and technology management consultant in global industries.

iv.Promote a diverse and inclusive learning community that values global perspectives and ethical considerations, ensuring that students are prepared to engage with digital technology’s broader social, cultural, and global impacts. This inclusive approach fosters fairness, equity, and awareness of digital technology’s implications for business and society.

Learning Outcomes

Learning Outcomes: Cognitive Skills

On the completion of this course successful students will be able to:

Critically analyse the formulation and implementation of digital business strategies in organisations.

Conduct independent learning and inquiry.

Critically evaluate and interpret theories or/and frameworks underpinning digital businesses.

Teaching/Learning Methods and Strategies

Cognitive skills are developed across the modules within the degree programme. Students develop skills focusing on digital strategy formulation, bridging theory with business problem solving, logical reasoning, and critical thinking.
Independent enquiry, critical evaluation and interpretation, abstraction, and assimilation are key elements within the programme. Self-assessment, peer review, and reflection are developed within the individual/group work assignments.
Cognitive skills are developed through digital business case studies, role plays, scenario planning, and other interactive style teaching and learning approaches that foster deep analysis of digital tools for business applications.

Methods of Assessment

Assessment of cognitive skills occurs in the form of group presentations, case studies, and projects.

Learning Outcomes: Knowledge & Understanding

On the completion of this course successful students will be able to:

Critically assess a range of digital innovations in business and society.

Analyse and assess the impact of digital transformation on business models and strategies

Understand and analyse the global and cross-cultural implications of digital business strategies in organisations.

Teaching/Learning Methods and Strategies

The Postgraduate Diploma in Digital Business follows a structured curriculum focusing on the impact of digital innovations across various industries, ethical considerations, and societal implications. Teaching methods include lectures, interactive workshops, and digital business-oriented case studies.

Students will learn to critically assess various digital tools through hands-on systems to apply them effectively in real-world contexts.

Understanding the work of managers/firms and assessing their global environment is intrinsic to all teaching and learning opportunities.


Acquisition of knowledge and understanding is achieved through structured exposition based on lectures, directed reading of case studies, and scholarly journal articles, which are particularly applied to student presentations and group projects, computer-based laboratory work, group work, and private study.

The international dimension to various issues is embedded in modules throughout the course, and concerns around ethics, responsibility and sustainability are integrated into discussions.

Methods of Assessment

A combination of assessment methods is used to enhance knowledge and understanding including case studies, portfolios, reports, and projects.

Learning Outcomes: Subject Specific

On the completion of this course successful students will be able to:

Use digital tools and platforms to address business problems.

Apply digital business strategies/innovations to enhance organisational performance/deliver competitive advantage.

Critically evaluate the ethical implications of digital technologies in business and society.

Teaching/Learning Methods and Strategies

Students work with real/synthetic datasets, develop/apply digital tools and business strategies to analyse data and derive actionable insights for business challenges.

Teaching strategies include case study analysis that encourage students to critically assess the societal and ethical ramifications of digital tools in various business contexts.

Teaching is provided through lectures, workshops, directed reading, group work, and computer-based work.

Didactic style approaches will be used to provide knowledge on frameworks, techniques and tools from contemporary research on digital businesses.

Flipped classroom techniques will be employed, where pedagogically appropriate, to ensure practical understanding of academic research.

Methods of Assessment

The assessment method is formative, continuous, and summative, involving continuous assessment in the form of individual and group projects, individual and group oral presentations, case study investigations, reports, portfolios, and projects.
Formative assessments will be used to provide students with developmental feedback on subsequent assessments.

Learning Outcomes: Transferable Skills

On the completion of this course successful students will be able to:

Address business problems using digital technologies/digital innovations/data analytics techniques.

Develop organisation and time management skills.

Synthesise material from various sources, including journals, data sets, and business reports.

Communicate concepts and insights from digital-driven analyses to non-specialist audiences.

Teaching/Learning Methods and Strategies

Transferable skills development will permeate the teaching and learning throughout the degree programme. Successful completion of coursework requires students to gather information from a range of sources, including academic journals, industry reports, and real-world data sets, select and assimilate relevant information and to complete tasks within agreed deadlines that are communicated well in advance.
Students participate in group discussions in class using scenario and role-based approaches enabling cross cultural learning and foster collaborative problem-solving by addressing business problems using innovative technology solutions, and data-driven approaches.
Socratic-based methods will be employed to ensure student discussion, debate and critical reflection, engaging with important theories and their application. This approach encourages students to critically evaluate and communicate the implications of digital innovations in business, exploring ethical considerations and innovative strategies for leveraging digital technology to deliver competitive advantage.

Methods of Assessment

Assessment of coursework requires students to use a range of media (e.g., open-source code-free software, GenAI tools, Microsoft Office tools) to demonstrate their learning.

Module Information

Stages and Modules

Module Title Module Code Level/ stage Credits

Term

Duration Pre-requisite

Assessment

Core Option Coursework % Practical % Examination %
Marketing in the Digital Age IBEM7000 7 15 Autumn 15 weeks N YES -- 100% 0% 0%
AI Entrepreneurship and Consulting ITAO7118 7 15 Spring 15 weeks N -- YES 100% 0% 0%
Technology for Good ITAO7130 7 15 Autumn 15 weeks N YES -- 100% 0% 0%
Digital Business Strategy IBEM7024 7 15 Autumn 15 weeks N YES -- 100% 0% 0%
Emerging Technologies for Business ITAO7120 7 15 Spring 15 weeks N -- YES 100% 0% 0%
Digital Supply Chain Management ITAO7122 7 15 Spring 15 weeks N YES -- 100% 0% 0%
Generative AI and Business Intelligence ITAO7117 7 15 Autumn 15 weeks N YES -- 100% 0% 0%
Cyber Security & Digital Risk Management ITAO7123 7 15 Spring 15 weeks N YES -- 100% 0% 0%
Analytics with Artificial Intelligence (AI) ITAO7109 7 15 Spring 15 weeks N YES -- 100% 0% 0%

Notes

No notes found.