Credits needed to earn the degree:
| ECTS Credits | UK Credits |
| 90 ECTS | 180 Credits |
Modules
This module in Digital Transformation provides a comprehensive overview of digital transformation, focusing on the strategic integration of digital technologies into all areas of a business. This module aims to equip students with the knowledge and skills needed to drive digital change and innovation within organisations. Topics covered include digital business models, leadership in the digital age, technology trends, data analytics, and change management.
The module covers topics such as digital business models, leadership in the digital age, technology trends and innovations, data analytics and decision-making, implementation of digital transformation, ethical and societal implications, and case studies and real-world applications.
Competences
At the end of the module the learner will have acquired the responsibility and autonomy to:
- a) Be able to develop and know how to implement strategic digital transformation plans.
- b) Show an understanding of the alignment of digital initiatives with business goals.
- c) Be able to analyse complex business problems and identify digital solutions.
- d) Understand how to plan, execute and manage digital transformation projects.
- e) Show technical competence in applying digital technologies relevant to business transformations.
Knowledge
At the end of the module/unit the learner will have been exposed to the following:
- a) Various digital business models and their applications together with knowing how digital technologies can disrupt traditional business models.
- b) An in-depth knowledeg of data analytics including collection, analysis and visualisation techniques.
- c) How data-driven decision-making supports digital transformations.
- d) The principles of cybersecurity and data protection including risk assessment and management practices in a digital context.
- e) Digital marketing strategies and tools, including how to leverage digital channels for customer engagement and relationship management.
- f) Ethical considerations and societal impact if digital transformation together with knowledge of data privacy regulations and ethical standards in digital business.
Skills
At the end of the module/unit the learner will have acquired the following skills:
- a) How to develop a digital transformation strategy, implement and monitor digital iniatives to achieve business objectives.
- b) Demonstrate how to lead teams in digital transformation projects together with motivatiing and managing teams through change.
- c) How to apply digital tools and technologies to solve business probelms and staying up-to-date with the latest digital trends and innovations.
- d) Apply the analysis of large data sets to produce actionable results and use visualisation tools to communicate findings efffectively.
- e) Demonstrate problem solving an innovation identifying opportunities for digital innovation to produce creative solutions to complex problems.
- f) Demonstrate project management skills managing a digital transformation from inception to implementation to completion.
- g) How to design digital solutions that enhance the customer experience and use digital marketing tools to engage and retain customers.
Module-Specific Learner Skills
At the end of the module/unit the learner will be able to
- a) Demonstrate high level and effective verbal, non-verbal, presentational and written communication skills.
- b) Show critical thinking skills through evaluation of concepts, theories and practices related to digital transformation.
- c) Demonstrate critical analysis of case studies and real-world applications of digital applications.
- d) Show a critical appreciation of ethical and societal implications of digital transformations.
- e) Evaluate organisational change and understand best practices in business process modelling.
- f) Access, critically evaluate and apply evidence and information from a variety of sources, including published sources, to analyse case studies in digital transformation.
Module-Specific Digital Skills and Competences
At the end of the module/unit the learner will be able to
- a) Demonstrate high level information literacy and information technology skills, including the effective use of artificial intelligence (AI).
- b) Work collaboratively and in teams with peers of group discussions, group tasks, etc. related to digital transformation.
- c) Demonstrate a critical understanding of different digital models of successful digital transformations.
- d) Apply articifial intelligence, Internet of Things, blockchain computing and cloud computing to digital transformations.
- e) Demonstrate and practice self-reflection of knowledge, understanding and skills related to digital transformation.
- f) Apply digital skills to make effective use of the internet and how to find and access resources and information related to digital transformation
| Total Learning Hours of this module | 250 Hours |
| Total Contact Hours | 50 Hours |
| Self Study Hours | 175 Hours |
| Assessment Hours | 25 Hours |
| Total Number of ECTS of this Module/Unit | 10 ECTS |
| MQF/EQF Level | Level 7 |
Formative assessment
Formative assessment support will help students to understand the summative assessment requirement and to improve their confidence in different types of summative assessment. Students will be given clear assessment criteria as part of the assignment brief and will be required to submit substantive formative assessments prior to summative assessments. The formative opportunities are scheduled in such a way as to allow students to reflect on any tutor feedback and feed forward prior to the summative event. The formative feedforward given by the tutor will relate specifically to how students have gone about the learning process, how they have acquired knowledge, skills and their understanding of how to apply their knowledge.
Summative assessment
Summative assessment is the final marked work that will be required to be submitted to a set deadline. This type of assessment is a graded piece of work. Students will receive an assignment brief at the beginning of the module that will clearly state the requirements of the assessment task and the assessment criteria used to mark their work. In preparing for an assessment for submission students must read the brief and the assessment criteria carefully to make sure that it is fully understood. The assessment criteria rubric will illustrate how the final mark has been awarded.
Summative assessment will consist of two components: First, 3,000 word critical appraisal of a successful digital transformation case study (75%). Second, poster presentation depicting digital transformation strategy and business improvement plan (25%).
| Form of assessment Assessment size Weighting (%) | Critical appraisal of case study |
| 3,000 words | 75% |
| Poster presentation | Equivalent to 1,000 words 25% |
Overview of learning outcomes mapped against summative assessment components (letters in brackets refer to comptences, knowledge and skills given in the module under “Learning Outcomes’).
This module in information technology project management provides postgraduate students with in-depth knowledge, critical understanding and skills in managing information technology (IT) projects. This module covers project management methodologies, tool and techniques specific to IT projects. The module aims to equip students with the ability to plan, execute, and close IT projects effectively while managing resources, risks, and stakeholder expectations.
The module covers project risks, resources and stakeholders in IT projects, use of project management software and tools, ethical and professional responsibilities in IT project management.
Competences
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
- a) Be able to develop project plans, including scope, time, cost and quality management.
- b) Be able to execute and monitor projects in information technology to ensure objectives are met.
- c) Show how to identify, analyse and mitigate risks associated with IT projects together with being able to develop and implement risk management plans to minimise project impact.
- d) Be responsible for engaging and managing stakeholders effectively through a project lifecycle and communicate project progress and risks.
- e) Be able to lead and motivate IT project teams, manage team dynamics, resolve conflicts and manage performance.
- f) Show how to align IT projects with organisational strategy and business goals and understand impact of IT projects on an organisation.
Knowledge
At the end of the module/unit the learner will have been exposed to the following:
- a) Various project management methodologies, for example, Waterfall, Agile, Scrum and hybrid approaches and know when and how to apply different methodologies to IT projects.
- b) The IT project lifecycle from initiation to planning to execution, monitoring and closure together with project management process and documentation.
- c) Budgeting and cost estimation techniques for IT projects including financial tracking and reporting project budgets.
- d) IT project quality management principles and practices as well as how to implement quality assurance and control measures.
- e) Ethical issues in IT project management, including data privacy, data security and intellectual property rights.
- f) Relevant legal and regulatory requirements affecting IT projects.
Skills
At the end of the module/unit the learner will have acquired the following skills:
- a) How to develop project plans with defined objectives, deliverable, timelines and milestones creating and managing project schedules using planning tools.
- b) Demonstrate how to identify IT project risks and issues early in a project lifecycle together with how to develop risk mitigation strategies and contingency plans.
- c) How to allocate and manage resources, including personnel, budget and technology to optimise performance by balancing resource constraints with project demands.
- d) Demonstrate application of critical thinking and analytical skills to solve complex project challenges and make informed decisions to keep projects on track and aligned with objectives.
- e) How to manage changes to project scope, schedule and resources effectively and implement change control processes and manage stakeholder expectations.
- f) How to establish quality standards and criteria for deliverables, and conduct quality assurance reviews and implement corrective actions.
Module-Specific Learner Skills
At the end of the module/unit the learner will be able to
- a) Demonstrate high level and effective verbal, non-verbal, presentational and written communication skills.
- b) Show critical thinking skills through evaluation of concepts, theories and parctices related to information technology project management.
- c) Demonstrate different project management methodologies and project planning.
- d) Demonstrate stakeholder management, leadership and team management.
- e) Access, critically evaluate and apply evidence and information from a variety of sources, including published sources, to analyse case studies in data information technology project management.
Module-Specific Digital Skills and Competences
At the end of the module/unit, the learner will be able to
- a) Demonstrate high level information literacy and information technology skills, including the effective use of artificial intelligence (AI).
- b) Work collaboratively and in teams with peers of group discussions, group tasks, etc. related to information technology project management.
- c) Demonstrate how to use project management tools and software including Microsoft Project, Jira and Trello.
- d) Apply professional project managment tools such as PMP and Prince.
- e) Demonstrate and practice self-reflection of knowledge, understanding and skills related to information technology project management.
- f) Apply digital skills to make effective use of the internet and how to find and access resources and information related to information technology project management.
| Total Learning Hours of this module | 250 Hours |
| Total Contact Hours | 50 Hours |
| Self Study Hours | 175 Hours |
| Assessment Hours | 25 Hours |
| Total Number of ECTS of this Module/Unit | 10 ECTS |
| MQF/EQF Level | Level 7 |
Formative assessment
Formative assessment support will help students to understand the summative assessment requirement and to improve their confidence in different types of summative assessment. Students will be given clear assessment criteria as part of the assignment brief and will be required to submit substantive formative assessments prior to summative assessments. The formative opportunities are scheduled in such a way as to allow students to reflect on any tutor feedback and feed forward prior to the summative event. The formative feedforward given by the tutor will relate specifically to how students have gone about the learning process, how they have acquired knowledge, skills and their understanding of how to apply their knowledge.
Summative assessment
Summative assessment is the final marked work that will be required to be submitted to a set deadline. This type of assessment is a graded piece of work. Students will receive an assignment brief at the beginning of the module that will clearly state the requirements of the assessment task and the assessment criteria used to mark their work. In preparing for an assessment for submission students must read the brief and the assessment criteria carefully to make sure that it is fully understood. The assessment criteria rubric will illustrate how the final mark has been awarded.
Summative assessment will consist of two components. First, provide a project plan for a given business improvement scenario to include project development, planning, implementation and closure and other project requirements (75%). Second, a 1,000 word essay discussing to importance of leadership, teambuilding and communication (25%).
| Component number | Form of assessment | Assessment size Weighting (%) |
| 1. | Project plan 3,000 word equivalent | 75% |
| 2. | Essay 1,000 words | 25% |
Overview of learning outcomes mapped against summative assessment components (letters in brackets refer to competences, knowledge and skills given in the module under ‘Learning Outcomes’).
| Assessment | Learning Outcomes |
| Competences Knowledge | Skills |
Project plan for a given business improvement scenario to include project development, planning, implementation and closure and other project requirements.
(a), (b), (c), (d) (a), (b) (d), (e), (f) (a), (b), (c), (d), (f)
Essay discussing to importance of leadership, team building and communication.
(e),(f) (d), (e), (f) (c), (e)
In the rapidly changing and evolving field of IT, managing services effectively is paramount for modern enterprises. This MQF Level 7 module, designed for the MSc IT Management programme, focuses on improving IT management skills, exploring service management frameworks, mastering risk and contract management, understanding service design, and reviewing common IT management processes and practices.
This module provides students with a comprehensive understanding of the principles and practices of Information Technology (IT) management. It covers the strategic role of IT in organisations, IT governance, emerging technologies, and the management of IT resources. The module aims to equip students with the knowledge and skills required to manage IT functions effectively and align IT strategies with business objectives.
This research and professional skills module is designed to provide postgraduate students with advanced research skills specific to the field of Information Technology (IT) Management and to enhance their professional skills for career development. The module covers research methodologies, data analysis, academic writing, IT project management, and professional ethics, with a focus on the practical application of these skills in IT management contexts.
The module provides a critical understanding of research methodologies relevant to IT management, skills in academic writing and data analysis specific to IT research, project management capabilities. The module also enhances professional skills and ethical standards required for successful careers in IT management.
Following the successful completion of the taught module assessments and the taught phase of the MSc Information Technology Management programme, students will commence work on a dissertation/project which will be written up and submitted to a set deadline. This project/dissertation 30 ECTS module involves students undertaking a substantial independent research project on a topic related to their studies from the MSc in Information Technology Management taught modules. It is a requirement that students select a topic related to the pathway they have elected to study (Information Technology Management, Cybersecurity, Data Analytics, Cloud Computing or Artificial Intelligence). Where possible and appropriate students are encouraged to undertake the project in collaboration with an industrial or commercial organisation. Students will develop a research proposal, conduct a literature review, design and implement their research, analyse data, and present their findings in a written dissertation.
The module aims to develop advanced research skills, critical thinking, and the ability to make a contribution to knowledge in a specific area of information technology management. Through supervision, workshops, and independent study, students will enhance their academic writing, critical cognitive skills, technical skills, communication skills and research dissemination capabilities.
Cyber Security Pathway
This module on cybersecurity practices provides students with practical knowledge and hands-on experience in cybersecurity practices. The module covers the implementation of security measures, threat detection and mitigation, incident response, and best practices for protecting information assets. The module aims to equip students with technical skills required to safeguard organisational information systems against cyber threats.
This module provides students with best practices for securing information systems, develop skills in detecting, analysing and mitigating cyber threats, and familiarise students with real-world cybersecurity challenges and solutions.
This module on incident response management provides students with knowledge, critical understanding and skills in managing cybersecurity incidents. The module covers the principles, strategies, and tools required to effectively respond to and manage cybersecurity incidents. Students will learn how to develop incident response plans, identify and analyse incidents, and implement recovery procedures. The module aims to prepare students to handle real-world cybersecurity incidents and mitigate their impact on organisations.
Data Analytics Pathway
This module on software development and software management provides students with a critical understanding of software development and software management practices specifically tailored for data analytics projects. This module covers the software development lifecycle, with a focus on building scalable and efficient data analytics applications. The module also addresses project management techniques, software quality assurance, and the use of modern development tools and environments in the context of data analytics.
This module on contemporary topics in data analytics explores advanced and emerging topics in data analytics, providing students with an understanding of the latest trends, techniques, and applications in the field. This module covers contemporary topics such as big data analytics, machine learning, deep learning, and the ethical implications of data use. The module aims to equip students with cutting-edge skills and knowledge to tackle complex data challenges in various industries.
Cloud Computing
This module on cloud systems and visualisation provides an in-depth critical understanding of cloud computing systems and data visualisation techniques. Students will explore the architecture, deployment, and management of cloud systems, as well as methods for visualising data to derive meaningful insights. The module aims to equip students with the knowledge and skills required to implement and manage cloud solutions and effectively visualise complex data sets.
The module covers principles and architecture of cloud computing systems, deploying and managing cloud infrastructure and services, data visualisation techniques and tools for data analysis, integration of cloud computing with data visualisation to support decision-making and security, privacy and compliance aspects of cloud systems.
This module on DevOps (Development and Operations) provides students with an in-depth understanding of DevOps principles, practices, and tools. The module focuses on the integration of development and operations to improve collaboration, productivity, and the continuous delivery of high-quality software. Students will learn about automation, infrastructure as code, continuous integration and continuous deployment (CI/CD), and monitoring and logging in a DevOps environment. Students will also cover cultural and organisational aspects of DevOps.
Artificial Intelligence
This module provides students with a comprehensive understanding of business intelligence (BI) principles, tools, and techniques. The module covers the collection, integration, analysis, and presentation of business data to support decision-making processes. The module aims to equip students with the skills necessary to transform data into actionable insights, improving business performance and strategy.
Students will study the fundamental concepts and importance of business intelligence in organisations, develop skills in using business intelligence tools and techniques for data analysis and reporting, learn how to design and implement business intelligence solutions that support business decision-making, explore various data visualisation methods for present effective business insights, and appreciate ethical and privacy issues related to business intelligence.
This module in artificial intelligence and machine learning provides students with an in-depth understanding of artificial intelligence (AI) and machine learning (ML) principles, techniques, and applications. The module covers foundational concepts, modern algorithms, and practical implementation of AI and ML in various domains. The module aims to equip students with the knowledge and skills necessary to develop and apply AI and ML solutions to real-world problems.
Students will study the fundamental concepts and techniques of AI and ML, develop skills in designing, implementing and evaluating AI and ML, explore applications, learn how to use popular AI and ML frameworks and tools, and discuss ethical and societal implications of these technologies.
