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Data Analytics MSc (Distance Learning)

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Start Dates

22 September 2025, 17 November 2025, 16 February 2026, 18 May 2026

Duration

2-3 years part-time


Recent Awards For Excellence

Computer Science & Information Systems - QS 2025
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About this course

Overview

Why choose Huddersfield for this course?

  • This course is fully accredited by BCS (British Computer Society), the Chartered Institute for IT, and aligned with SAS Institute.
  • Open to graduates from any background, this course will prepare you for an exciting career in data science.
  • Taught 100% online, part-time allowing you to study while working.

Accreditation and Professional Links

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

Does working with big data excite you? Aimed at people who aren’t local to our campus or who are in employment, the Data Analytics MSc at The University of Huddersfield will provide you with the learning experience to get you ready for a satisfying career in data science.

With an option for distance learning, this course meets the demand for experts with advanced skills and knowledge in the following:

  • Statistics

  • Data mining techniques

  • Big data and associated file systems

  • Complex data visualisation

You’ll finish our Data Analytics course with a deeper understanding of how to analyse and visualise complex datasets, evaluate existing and emerging data science technology and provide novel data solutions to stakeholders to improve their decision-making process.

Why study Data Analytics MSc (Distance Learning) at Huddersfield?

Our hands-on Data Analytics MSc (Distance Learning) is designed to meet the demand for a new kind of IT specialist with skills and knowledge in data science. The course provides students the opportunity for professional development and valuable practice.

Our course is aligned with SAS. The SAS Institute is a multinational enterprise providing analytical solutions, platform and software, and training courses to high profile companies, and to academia. You will follow SAS training as part of your course, which puts you on the path to apply for SAS Certification and also allows you to obtain SAS Digital Badges that you can use in your CV or your online profiles to prove your skills to employers. Our partnership with SAS also gives you access to relevant job opportunities through portals like Handshake UK.

This course is also fully accredited by the British Computer Society (BCS), the Chartered Institute for IT and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.

Discover more about Distance Learning at Huddersfield.

Career opportunities after the course *

Data Scientist

Data Engineer

Data Analyst

Machine Learning Engineer

Software 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.
  • Applicants with 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 overall with no element lower than 5.5, or equivalent 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

In this module you will develop understanding of the strategic aspects of programme and project management and its role in adding competitive advantage to an organisation. You will gain a firm grounding in the principles, processes, tools and techniques that underpin programme and project management. It also aids you to develop a systematic understanding of the purposes and uses of financial information, together with the ability to use quantitative skills to improve performance management and decision making within an organisation. Emphasis is placed upon the need for competence in project planning and control. Team-working, communication and risk management skills are developed by means of group activity. Extensive use is made of project management and simulation software.

In this module you will build upon your previously acquired understanding of Operations Management, Quality Assurance and Control, together with the statistical techniques employed in probability theory. During the course of this module, you will develop further expertise necessary to implement and operate Quality Systems, Maintenance Regimes and Reliability Trials and support New Product Introductions. You will explore the role of Quality Systems in the introduction of New Products. You will also learn about the importance of ensuring that products are problem-free in their early life to become established on the market.

In this module you will strengthen the essential skills needed to implement and manage the New Product Development (NPD) process within an industrial organisation. The focus will be on driving improvements in key performance areas such as quality, speed, and cost-efficiency with further expertise in the strategic exploitation of NPD initiatives. This will include an exploration of innovation and creativity principles to enhance your understanding of management policies, models, organizational culture, and creative practices. The module will involve a group-based approach, incorporating a variety of industrial case studies that demonstrate the application of NPD tools and techniques. You will be equipped to manage and lead successful product development initiatives that meet the evolving needs of the market and drive business growth.

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 module you will undertake an independent project that will equip you with the skills to research and lead an advanced independent work. The aim of this module is to give you the skills, experience, and introduce you to the processes that would typically take place in a professional environment. The project work will extend your knowledge and capabilities in the specific field associated with the project topic and allow you to demonstrate your self-learning, initiative, commitment, and capability to a professional standard.

You will also choose one optional modules in this year. The current optional modules are:

In this module you will gain an understanding of the technical, commercial and management aspects of a modern automated manufacturing process. This will give you an understanding of control systems used in machine tools, industrial robots, automated part handling, and inspection. Specific issues of the transition from labour-intensive to automated manufacturing will be addressed. You will learn about the hardware and computer control systems used in modern manufacturing. You will consider how to define appropriate feedback requirement, and the sensors and instruments suitable to automate a process safely. You will gain an understanding of human-machine interactions and how these should be managed. Finally, you will learn how to break an automation challenge into manageable, logical steps. This will develop your ability to automate any such processes through design and programming of Programmable Logic Controller (PLC) control systems.

In this module, you'll learn about the main types of process plants and the control systems used in the industry and explore how numerical models can optimize control system performance. The module covers key computer control systems, such as Proportional-Integral-Derivative (PID), Direct Digital Control (DDC), and Distributed Control Systems (DCS), and the use of both analog and digital instruments. You'll also study instrumentation systems for measuring variables like temperature, pressure, level, and flow, as well as techniques for monitoring multiphase flows (e.g., oil-water or solids-water flows).

For more information on when and how we update our modules please see the ‘Legal Information’ section below.

and one option module from:

In this module you will be provided with an in-depth introduction to the principles and applications of Computer-Aided Design (CAD) within the industrial context. You will explore the use of advanced 3D design software, enabling the execution of both mechanical and visual design processes. You will also learn to examine contemporary methodologies such as design process automation and topology optimization for components manufactured using additive technologies. Through hands-on engagement, you will gain experience with a sophisticated 3D CAD system, encompassing part design, assembly, technical drawings, and design automation. Additionally, you will get a comprehensive understanding of the role, fundamental concepts, and industrial applications of 3D CAD systems.

In this module you will be equipped with the qualities and transferable skills necessary to design, model and simulate electromechanical systems, for example, servo motion control applications in machine tools, robotics and automated production equipment, "more" electric actuation in transportation and industry. You will explore the linkage of sub-components into a complete system and the interaction of sub-components under steady and dynamic operation.

For more information on when and how we update our modules please see the ‘Legal Information’ section below.

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

The top five job titles advertised in the UK for graduate roles associated with Data Analytics MSc courses are: Data Scientist; Data Engineer; Data Analyst; Machine Learning Engineer; and Software Engineer.

Source: LightcastTM data - job postings from December 2023 to December 2024 showing jobs advertised associated with a selection of relevant graduate roles.

98%
Percentage of our postgraduate students go on to work and/or further study within fifteen months of graduating.

* HESA Graduate Outcomes 2022/23, UK domiciled.

£38.5k
Average salary of our postgraduate students fifteen months after graduating.

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

The course content more than met my expectations. I learnt a lot and my job as a Data Analyst Intern went hand in hand with what I was studying.
Read More

- Michelle Joynson
Data Analytics MSc Graduate

How much will it cost?

Fees and Finance

£9,900

This information is for Home students applying to study at the University of Huddersfield in the academic year 2025/26.

Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy. 

For detailed information please visit https://www.hud.ac.uk/study/fees/

£9,900

This information is for international students applying to study at the University of Huddersfield in the academic year 2025/26.

Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy. 

For detailed information please visit https://www.hud.ac.uk/international/fees-and-funding/

Scholarships and Bursaries

Discover what additional help you may be eligible for to support your University studies.

Tuition Fee Loans

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What’s included in your fee?

We want you to understand exactly what your fees will cover and what additional costs you may need to budget for when you decide to become a student with us.

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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Why Hud

Explore the unique opportunities and resources that make our institution a top choice for students seeking a well-rounded and future-focused education.

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Careers support

We know you’re coming to university to study on your chosen subject, meet new people and broaden your horizons. However, we also help you to focus on life after you have graduated to ensure that your hard work pays off and you achieve your ambition.

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Student support

At the University of Huddersfield, you will find support networks and services to help you get ahead in your studies. Our Distance Learning Unit Team are at hand to make your online learning journey a positive, rewarding and successful one.

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Teaching Excellence

Great teaching is engaging and inspiring — it helps you reach your full potential and prepares you for the future. We don’t just teach well — we excel — and we have the awards and recognition to prove it.

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Inspiring Academics

Our researchers carry out world-leading work that makes a real difference to people’s lives. Staff within the Department of Computer Science may teach you on this course.

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Research Excellence

You’ll be taught by staff who want to support your learning and share the latest knowledge and research.

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Further Study

Many of our graduates stay at Huddersfield to complete postgraduate research degrees at Masters or PhD level.

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