Postgraduate (2 years distance learning, part-time)
Advance your career in data science and machine learning with our Masters degree in Data Science. Study part-time by distance learning, and spend two weeks in Cambridge at a hackathon-style bootcamp. Develop the skills you need to analyse complex data, and support business decision-making.
Our MSc Data Science will give you the skills to develop and apply advanced data science tools and techniques. You'll learn to process large, complex datasets, and extract valuable insights to inform business decision-making.
Data science, especially when paired with artificial intelligence, promises to provide the tools to enhance technology, business models and decision-making across a range of sectors, from industrial automation, manufacturing, transport, banking and cyber security to health and social care.
By working on real-world datasets and industry-simulated projects, you'll become proficient in advanced data science tools and techniques, such as data engineering and deep learning.
Our Masters degree has been designed with, and is co-delivered by, Cambridge Spark – leaders in personalised AI-driven training in data science and software engineering. You'll study online via digital learning management systems, and attend a two-week hackathon-style bootcamp on our campus in Cambridge.
Data scientist roles have grown over 650% since 2012, with machine learning engineers, data scientists, and big data engineers ranking among the top emerging jobs*. But there's a recognised skills gap both in the UK and internationally.
Employers highlight the importance of data science and its potential to revolutionise a number of industries, while creating significant employment opportunities for data analysts, machine learning specialists and data specialists.
Our Employability Service is here to help give you the best chance of landing the job you want. We'll help you improve your skills and bulk up your CV to improve your career prospects.
As a distance learning student, you'll still benefit from help and advice on CV writing, interview techniques, job hunting, and general careers advice.
*U.S. Bureau of Labor Statistics.
We'll assess you in a number of ways including time-constrained assessments, coursework assignments and a project.
Our dissertation project and module case studies assess your ability to analyse situations, identify key issues, select, synthesise and apply techniques and skills from different modules, and evaluate the appropriateness of solutions when compared to industrial practice.
The dissertation artefact will be based on a real-world scenario related to, or part of, an piece of project work in a company.
The Faculty of Science & Engineering is one of the largest of the four faculties at Anglia Ruskin University. Whether you choose to study with us full-time or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, BSc, MSc, PhD or professional doctorate.
Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.
Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science, technology and engineering fields. This is key to all of our futures.
You can take out a tuition fee loan, which you won’t need to start repaying until after your graduate. Or alternatively, there's the option to pay your fees upfront.
We offer a fantastic range of ARU scholarships, which provide extra financial support while you’re at university. Some of these cover all or part of your tuition fees.
You must pay your fees upfront, in full or in instalments. We will also ask you for a deposit or sponsorship letter. Details will be in your offer letter.Paying your fees
It’s important to decide how to fund your course before applying. Use our finance guide for postgraduate students to learn more about postgraduate loans and other funding options.
We offer a fantastic range of ARU scholarships, which provide extra financial support while you're at university. Find out more about eligibility and how to apply.
Due to the specialist nature of this course, applicants are required to pass a proficiency quiz in Python before submitting an application for the course. To find out more please contact us at email@example.com or call (0)1245 686707.
You will also need:
Applicants who do not meet the above requirements may be also considered on a case-by-case basis and may require an interview.
The University's standard procedures for admission with credit will apply where candidates wish to be considered for Accredited Prior Learning (APL) and Accredited Prior Expediential Learning (APEL) for entry into Year 2 or later of the course.
We welcome applications from international and EU students, and accept a range of international qualifications.
If English is not your first language, you'll need to make sure you meet our English language requirements for postgraduate courses.
If you don't meet our English language requirements, we offer a range of courses which could help you achieve the level required for entry onto a degree course.
Part-time, work-based postgraduate (2 years)
Email our Distance Learning team.Register interest
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