This module focuses on equipping students with the knowledge and skills to leverage data analytics and business intelligence in project management. It covers key areas such as data exploration, predictive modelling, decision analytics, and risk assessment, enabling students to make informed, data-driven decisions. Ethical considerations, including data privacy, governance, and quality, are also emphasised. Through a combination of lectures, lab exercises, and real-world projects, students gain hands-on experience in applying analytics tools to business scenarios, preparing them to optimise project outcomes and enhance strategic decision-making in a data-driven world.

This module investigates tools and techniques to extract, transform and load (ETL) data for further analyses or analytical processing (OLAP). Students will be guided step-by-step through the ETL process using Python, API's and SQL to show visualisation and analysis. The module will also discuss the ethical implications of data, data processing, laws and standards. 

The module is about Information Security Management and it will develop the student's understanding of the implications of cybersecurity to today's businesses, how businesses can gain market advantage by leveraging simple and yet robust cybersecurity principles, and the government's cybersecurity strategy for businesses in the UK. As the Cybersecurity programme is designed with conversion students in mind, this module will prepare students with useful cyber skills to lead or easily be part of cybersecurity efforts in their organisations.  The learning content will include:

• Core security standards (e.g., ISO27001, ISO27032), policies and governance etc.
• Information Risk Management and Business Continuity Management
• Audit, Assurance and Review
• Understanding the threats and risks businesses face today. Illustrative part of how this (or what) might be covered include:
  • Through problem based learning and possible industry collaboration
  • Exploring Social Engineering, the Least Resistance Path, Incident Response, Defence Indepth etc.
• Government strategy on Cybersecurity

This module aims to develop a critical understanding of programme and project management to enable students to recognise the importance of the discipline in a variety of organisational and functional contexts. Students should develop a critical understanding of the concepts employed in programme and project management at strategic, systems and operational levels, and an appreciation of the knowledge and skills required for successful programme and project management. Theory is constantly grounded in examples and case study exercises. By utilising examples and case studies, both from their own backgrounds and from the literature, the student is guided to an understanding of the benefits, and power, of well-run projects and programmes.

This module explores the principles, applications, and challenges of blockchain in business environments. It covers distributed ledger technology, smart contracts, consensus mechanisms, and decentralized applications, with a focus on real-world use cases in finance, supply chain management, and digital identity authentication. Students will analyse the benefits, risks, and regulatory considerations of blockchain adoption while developing strategies for enterprise implementation. Through lectures, lab exercises, and group projects, students gain hands-on experience in evaluating and applying blockchain solutions. By the end of the module, they will be equipped to integrate blockchain into business and digital innovation strategies.

In this module, students will gain knowledge required for conducting research. This includes: developing research questions, study design, participant sampling, consent, confidentiality, ethical considerations, and data analysis.

The Research Dissertation module is designed to develop students' ability to conduct independent, in-depth research in Management of Information Systems and Digital Innovation. It provides an opportunity to explore a significant research problem, applying theoretical frameworks, data analysis, and critical evaluation to generate new insights. Students will work closely with a supervisor to define research objectives, review relevant literature, design methodologies, and present findings in a structured dissertation. The module emphasizes academic writing, problem-solving, and decision-making skills, preparing students for careers in digital innovation, research, and consultancy, or further academic pursuits such as a PhD.