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Information Systems Management PgDip (Distance Learning)

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Start Dates

6 September 2027, 17 January 2028, 8 May 2028

Duration

2 years part-time


Recent Awards For Excellence

Computer Science & Information Systems - QS 2025
Find out more about these awards
About this course

Overview

Why choose Huddersfield for this course?

  • Blend technical depth with management expertise, preparing for leadership roles in technology-driven organisations.
  • This conversion course is open to applicants from a wide range of backgrounds.
  • Flexible, 100% online study, designed for busy working professionals.

Accreditation and Professional Links

Recognised connections to give you an extra edge when you graduate. Read More

The Information Systems Management Postgraduate Diploma is designed for professionals and recent graduates who want to build the skills needed to develop, manage and lead effective information systems that modern organisations depend on. 

In this conversion course, you will study key computing-focused topics such as software engineering, generative AI and prompt engineering, data mining, data visualisation and business intelligence, alongside management-focused areas including organisational strategy, managerial effectiveness, strategic management and information management. This combination will help you understand how technology, strategy, data and organisational processes work together to enable effective digital transformation.

A distinctive feature of the course is its focus on bridging the gap between business and technology making you well-suited for roles at the interface of business and technology, including information systems management, business and systems analysis, project management, and digital transformation and technology leadership. 

Taught 100% online and part-time, the course enables you to study alongside work and personal commitments and is open to applicants from a wide variety of backgrounds.

Find out more about distance learning at Huddersfield.

Career opportunities after the course *

Systems Engineer

Data Analyst

Infrastructure Engineer

Data Scientist

Network Engineer

*Lightcast

Who can apply?

Entry Requirements

Entry requirements for this course are normally:

  • A BSc, BEng or BA Honours degree (2:2 or above) or equivalent professional qualification in any subject.
  • Other appropriate professional qualifications and/or experience will be considered on an individual basis.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 with a minimum score of 6.0 in writing and a minimum of 5.5 in any single component or Duolingo English certificate, score 105 or above. Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements page.

What will you learn?

Course Details

This module focuses on the fundamentals of why organisations exist and what organisations and managers ‘do.’ You will learn core aspects of management including strategic decision making, marketing, accounting and finance, and operations. Developing a high-level overview of the organisational landscape, you’ll build the skills required for modern management.

In this introduction to strategic management theories and their practical application, you’ll learn to implement and evaluate strategy. Topics covered include mission and goal formation, stakeholder theories, corporate governance and business ethics. By the end of this module, you’ll be equipped with a strategy toolbox that includes external and internal analysis, corporate level and business level strategies, and a range of decision making approaches.

Organisational leadership requires the support of strategic information to make decisions that align with institutional objectives. In this module you will critically explore and evaluate the leadership opportunities presented by access to strategic information within an organisation. You will study a range of approaches to managing strategic information at scale, and you will develop knowledge that demonstrates your critical understanding of the impact of both traditional and emerging approaches and issues to managing strategic information.

With ever-increasing advancements in Internet-of-Things, Cyber-Physical Systems, and social media applications, vast and complex datasets are generated daily. Visually analysing these datasets enables the transformation of raw data into meaningful insights that support strategic decision-making. The key challenge lies in designing and interacting with effective visual artefacts and dashboards that simplify complex analytical problems without exposing underlying technical complexities. This module provides core knowledge and a deep understanding of the theories, principles, and best practices underpinning data visualisation and business intelligence. You will develop practical skills in designing, developing, and interpreting interactive visualisation dashboards and BI reports using state-of-the-art tools and techniques. You will engage in hands-on exercises addressing real-world big data challenges through visual analysis, focusing on transforming analytical outputs into actionable intelligence. Topics include exploratory data visualisation, visualisation dashboards, interactive 2D and 3D visualisation toolkits, and the application of visualisation methods within specific business and analytical domains.

This module will focus on examining algorithm development and software engineering. You will study programming fundamentals, object-oriented programming and genericity. You will consider algorithms, data structures and programming paradigms that enable efficient implementation, while covering persistence and concurrency. You will analyse issues associated with software engineering project development and examine practices, procedures, techniques and tools designed to address these issues. You will also explore the advent of modern AI-assisted coding paradigms. In covering these topics, the module will examine the issues that software programmers and developers face every day in their quest to develop successful technology systems and applications.

Data Mining involves using tools, methods, and statistical techniques to extract valuable insights from large datasets. As data volume grows, the potential to uncover meaningful patterns increases. In this module, you'll explore various data mining techniques and tools, focusing on data preparation, exploration, types, modelling, pattern mining, and the social impact of data mining. The module emphasises extracting actionable insights in data science challenges. You'll be expected to develop a deep understanding of real-world applications and research areas, enhancing your ability to contribute to discussions on data mining issues and advancements.

Teaching and Assessment

Discover what to expect from your tutor contact time, assessment methods, and feedback process.

Technology and System Requirements

As a Distance Learning student, you must provide and have access to certain IT equipment and facilities to access your Virtual Learning Environment (VLE) and to fully participate on your course.

Where could this lead you?

Your Career

Graduates of the Information Systems Management MSc can progress into a wide range of technical, analytical and leadership roles across industries such as technology, finance, healthcare and the public sector. Many move into positions including Data Analyst, Data Scientist, Systems Engineer, Network Engineer or Infrastructure Engineer, supporting the development and management of organisational systems. Opportunities also include Product Owner, Technical Manager, Platform Engineer and Data Architect roles, helping to shape digital strategy and deliver effective, scalable solutions. These skills are highly valued by global businesses, consultancies, start-ups and government organisations. 

Source: Lightcast data extracted from the Graduate Career Explorer

98% Of the University's postgraduate students go on to work and/or further study within fifteen months of graduating.

* HESA Graduate Outcomes 2022/23, UK domiciled.

£38,500 The average salary of our postgraduates fifteen months after graduating.

* HESA Graduate Outcomes 2022/23, mean salary, UK domiciled, full-time UK employment as main activity.

How much will it cost?

Fees and Finance

£6,600

This information is for Home and International students applying to study at the University of Huddersfield in the academic year 2026/27.

Module credits can range from 15 to 60, depending on the content of the module. Read more about the total credits required for a range of degrees, to allow you to calculate the potential total cost.

Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy and/or to ensure our distance learning fees are competitive.

Tuition fees will cover the cost of your studies at the University. Read more about what is and is not covered by Tuition Fees, including compliance with Goods and Services Tax for International Students studying an online course. 

For detailed information, please visit www.hud.ac.uk/distance-learning/fees-and-finance/

Fees for courses starting in the academic year 2027/28 (e.g. from 1 September 2027) will be published once the information becomes available.

£6,600

This information is for Home and International students applying to study at the University of Huddersfield in the academic year 2026/27.

Module credits can range from 15 to 60, depending on the content of the module. Read more about the total credits required for a range of degrees, to allow you to calculate the potential total cost.

Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy and/or to ensure our distance learning fees are competitive.

Tuition fees will cover the cost of your studies at the University. Read more about what is and is not covered by Tuition Fees, including compliance with Goods and Services Tax for International Students studying an online course. 

For detailed information, please visit www.hud.ac.uk/distance-learning/fees-and-finance/

Fees for courses starting in the academic year 2027/28 (e.g. from 1 September 2027) will be published once the information becomes available.

Flexible payments

Learn how to pay your fees including flexible instalment options

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Funding options

Explore ways to fund your course with exclusive discounts and government loans

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If you have any questions about Fees and Finance, please email the Student Finance Team.

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