Become a proficient data scientist with a master’s in Data Science at the University of Southampton.
You’ll study the latest techniques and technologies, including data mining, machine learning, and data visualisation. By the end of your studies, you’ll be able to develop original ideas and solve problems using advanced data science methods. You can apply what you have learned in fields such as data journalism, open government and social media.
Data scientists help organisations handle large amounts of data produced by digital technologies. Southampton is recognised around the world as a leader in many of the topics that form our data science curriculum. We offer one of the only data science master's programmes in the UK that covers every subject needed to become a skilled data scientist in industry, government or academia.
Our module teachers use their latest research to inform their teaching in emerging topics like:
intelligent agents
computational finance
open data innovation
the science of online social networks
deep learning
Module options are flexible, so you can pursue your interests and adapt the programme to prepare you for your ideal career. We’ll also give you access to dedicated project labs, computer workstations, and infrastructure for large-scale analysis.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Course lead
Your course leader, Dr Luis-Daniel Ibáñez specialises in Big Data Management and Crowdsourcing.
Data Science is one of the most exciting developments of the digital age. Professors Elena Simperl and Les Carr, along with students and employers, discuss how data science will help tackle some of the greatest challenges of our times.
If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
IELTS score requirements
overall score
6.5
reading
6.0
writing
6.0
speaking
6.0
listening
6.0
If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before you start your course.
Pre-masters
If you don’t meet direct entry requirements, you can apply to complete a Pre-Master's programme through our partnership with OnCampus.
This is a full-time master’s course. You’ll study for 12 months, from September to the following September.
In the first 9 months (semesters 1 and 2) you'll study the taught part of your course.
This is made up of modules that everyone on the course takes, and modules we’ll ask you to choose from a list of options. You'll take exams at the end of both semesters.
You’ll also begin preparing for your final project during semester 1, and continue this work in semester 2.
For the last 3 months, over the summer, you’ll work independently to research and write your dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
We teach most modules through a mixture of lectures, seminars and practical work.
We’ll work with you to improve your general knowledge of data science and develop your skills in:
using high-performance computing clusters
working with cloud-based infrastructure
devising and applying Big Data analytics techniques
analysing data with machine learning tools
creating data visualizations to communicate information
You’ll also be able to choose between several diverse topics to suit your interests.
Assessment
Depending on the modules that you take, we’ll assess your progress through a mixture of:
exams
lab reports
problem solving exercises
design and programming exercises
individual and group projects
your compulsory dissertation
Dissertation
This is an opportunity to show your understanding of data science techniques and methods of enquiry. You will carry out a research project lasting 3 to 4 months, assessed by a 15,000-word dissertation
Academic Support
Your personal tutor is there to offer advice, help you choose modules, and provide general support if you need it. You can talk to your module tutors about any subject-specific questions. You’ll also be able to access the Electronics and Computer Science (ECS) Student Advisory Team for pastoral support.
Careers and employability
Employability skills
This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.
The skills you can expect to focus on and gain from this course include:
Research
Critical thinking
Commercial awareness
Self-management
Confidence
Communication
Teamwork
Creativity
Networking
Adaptability
Problem solving
Resilience
The employability and enterprise skills you'll gain from this course are reflected in the Southampton skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress.
*Example graduate job titles and job prospect statistics taken from The Graduate Outcomes Survey, which gathers information about the activities and perspectives of graduates 15 months after finishing their course.
Work experience opportunities
Choosing to do work experience is a great way to enhance your employability, build valuable networks, and evidence your potential. Learn about the different work and industry experience options at Southampton.
We are a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you. This support includes:
work experience schemes
CV and interview skills and workshops
networking events
careers fairs attended by top employers
a wealth of volunteering opportunities
study abroad and summer school opportunities
We have a vibrant entrepreneurship culture and our dedicated start-up supporter, Futureworlds, is open to every student.
Your career ideas and graduate job opportunities may change while you're at university. So it is important to take time to regularly reflect on your goals, speak to people in industry and seek advice and up-to-date information from Careers, Employability and Student Enterprise professionals at the University.
Your tuition fee covers the full cost of tuition and any exams. The fee you pay will remain the same each year from when you start studying this course. This includes if you suspend and return.
Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.
Southampton Electronics and Computer Science Global Scholarship
There are 12 Electronics and Computer Science scholarships of £5,000 each, available for international students applying to study for an Electronics and Computer Science (ECS) undergraduate or postgraduate master's degree.
The deadline to apply for this course is Wednesday 2 September 2026, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
International students
The deadline to apply for this course is Wednesday 19 August 2026, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
Application assessment fee
There is no application assessment fee for postgraduate courses starting in 2026.
Supporting information
When you apply you’ll need to submit a personal statement explaining why you want to take the course.
You’ll need to include information about:
your knowledge of the subject area
why you want to study a postgraduate qualification in this course
how you intend to use your qualification
References are not required for this programme.
Please include the required paperwork showing your first degree and your IELTS English language test score (if you are a non-native English speaker) with your application. Without these, your application may be delayed.
What happens after you apply
You'll be able to track your application through our online Applicant Record System.
We receive a high volume of applications for this course. This means you may not receive a response to your application for up to 12 weeks.
If we offer you a place, you will need to accept the offer within 30 working days. If you do not meet this deadline, we will offer your place to another applicant.
Unfortunately, due to number of applications we receive, we may not be able to give you specific feedback on your application if you are unsuccessful.