Program Overview

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Data Analytics MSc

Explore the opportunities of the data-driven world on this MSc Data Analytics conversion course, designed for graduates from other subject areas. Develop your skills and expertise for a range of rewarding careers such as data scientist, data analyst and data engineer across a variety of sectors.

Overview

Course length: | 1 year full-time
2 years part-time
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Start dates: | September 2025
January 2026
September 2026
Location: | Edge Hill University
Example offers: | 2:2 or above (or equivalent) in a non-STEM related subject. View full entry criteria
Subject(s): | Computer Science
Faculty: | Arts and Sciences
Department: | Computer Science

Many jobs have a digital element, and it is predicted that within 20 years 90% of all jobs will require some aspect of digital skills. Ensure you are well-prepared for the challenges of the data-driven world by studying our MSc Data Analytics conversion programme.

If your undergraduate degree is in a non-STEM subject then this data analytics conversion course could be for you. Discover techniques and methods applicable to analysis, extraction and assessment of actionable information from a multitude of data sets. The rapid expansion of the digital environment has increased the opportunity for data-driven innovation, but also the dangers of it. Being able to understand and anticipate developments in the manipulation and use of data will result in a workforce with a diverse skillset that ranges over computational, statistical and methodological approaches.

Develop strong problem-solving and critical-thinking skills, allowing you to approach challenges methodically and devise innovative solutions using data-driven approaches. Discover flexible and scalable approaches to address the significant challenges within industry raised by the continuous creation of real-time data from sensors, devices, video, audio, and social media.

Real world case studies are embedded in several key modules spread throughout the curriculum, allowing you to apply your skills in solving problems that reflect ‘real’ conditions. You will develop a detailed understanding of the legal frameworks governing data privacy and security, allowing you to work to the highest professional and ethical standards. Apply your knowledge to a wide range of professional settings, from public health to national security, from education to consumer industry, such as psychology, business, criminology, medical sciences, social sciences, as well as humanities.

You will have access to cutting-edge facilities and resources, including advanced computer labs equipped with the latest software tools used in data analysis and machine learning. You will gain hands-on experience with the tools and technologies that are relevant in today’s data-driven industries.

An accredited degree

This course is accredited by BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. Successfully completing an accredited honours degree is the first step to full BCS membership and to being awarded chartered status.

Course features

• International students can apply
• Professional accreditation

What you'll study

You will study a comprehensive curriculum designed to equip you with a strong foundation in data science. The program covers a wide range of topics including programming, statistics, machine learning, data visualization, and ethical considerations, ensuring that you are well-prepared for the challenges of the data-driven world.

Compulsory modules:

• Advanced Professional Practice
• Business Intelligence
• Computer Systems
• Introduction to Data Analytics & Visualisation
• Databases
• Machine Learning and Big Data
• Programming for Data Science and Artificial Intelligence
• Research and Development Project
• Research Methods

How you'll study

You’ll be taught through a combination of lectures, seminars and tutorials in this data analytics Masters degree. Classes will be highly interactive with a focus on the practical application of concepts and the use of case studies drawn from real life. An emphasis on small groups ensures that you will have plenty of opportunities for individual discussions with your tutors.

The full-time programme typically consists of eight taught hours per week.

A full-time route, starting in either September or January, takes 12 months to complete. The part-time route takes 2-3 years to complete and typically has intakes in both September and January.

How you'll be assessed

We will assess your vocational capability, academic critical thinking and intellectual development throughout the programme. Coursework, case studies, exams and problem-solving exercises may be used. You may be assessed individually or in a group.

Who will be teaching you

You will benefit from a wide range of expertise in areas such as artificial intelligence, data science, data analytics and visualisation, machine learning and deep learning, cloud/edge/distributed computing, natural language processing, computer vision, the Internet of Things, and smart devices.

Entry criteria

A degree equivalent to UK first-class or second-class honours (2:2 or above) in a non-STEM related subject.

English language requirements

International students require IELTS 6.5, with a score no lower than 6.0 in each individual component, or an equivalent English language qualification.

Facilities

The Department of Computer Science is based in the state-of-the-art £13million Tech Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for Computer Science and Engineering students. Our modern computing and engineering laboratories are equipped with comprehensive test and measurement equipment, high-specification computers, high-resolution screens and the latest hardware and software.

Finance

Tuition fees

• UK Full-Time: £9,250
• UK Part-Time: £51 per credit
• International: £17,000

The University may administer a small inflationary rise in tuition fees, in line with Government policy, in subsequent academic years as you progress through the course.

Your future career

You’ll develop the skills and knowledge you need for a career in data science with our MSc Applied Data Analytics. Apply for roles like data scientist, data analyst, big data developer or data engineer. Many industries are looking for graduates with these skills, including:

• banking and finance
• healthcare and pharmaceutical
• telecommunications
• internet and online sales
• energy
• cars and transport

These areas of expertise can be applied in a range of professional settings, from public health to national security, from education to consumer industry, such as psychology, business, criminology, medical sciences, social sciences, as well as humanities.

If industry doesn’t appeal to you, you could create your own start up or study to PhD level like previous graduates.