Data Science


  • Entry year 2024
  • Duration Full time 1 year, Part time 2 - 3 years


Develop your skills and expertise in artificial intelligence (AI) and data science with our flexible Master's programme that allows you to select modules, guided by pathways, to develop an enhanced understanding of modern data science technologies. Designed in co-operation with industry, you will learn how data science and AI work together with real industry-specific projects and through guest lectures from professional data scientists. Upon graduation, you will have the confidence to apply data science techniques that enable companies to use artificial intelligence to gain insights and make better decisions. This Master's has been pivotal in launching the career of hundreds of in demand data scientists with a high starting salary.

How does it work?

Term 1, core data science modules

Study five core modules that span the breadth of data science including the fundamentals of statistics and programming in Python and R; modern machine learning; and artificial intelligence. This term is essential in providing the foundations for you to advance your knowledge and technical skills in your chosen pathway.

Term 2, specialist modules

Study three modules in this term and choose your specialist pathway that aligns with your interests and career goals:

  • Computing and Artificial Intelligence
  • Business Intelligence
  • Environmental Data Science
  • Health Data Science
  • Societal Data Science

Term 3, industry placement

Apply the knowledge and skills you've gained in the previous 2 terms with a 14-week placement, either within industry, or as part of an academic research project. Our students really value this experience, with many offered jobs at the end, and many find that it builds confidence and adds weight to their CV.

The placement is the equivalent to a substantial research project or dissertation. This means that an academic specialist will supervise you, as you will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project.

Entry requirements

Academic Requirements

A 2:1 Hons degree (UK or equivalent) in any discipline, provided that the applicant has some experience of programming and has had exposure to quantitative methods such as statistics, or mathematical modelling. Applicants with a 2:2 Hons degree (UK or equivalent) in any discipline along with relevant experience are welcome to apply and will be considered on a case-by-case basis.

Students have successfully completed the course with undergraduate degrees in Computer Science, Mathematics, Statistics, Engineering, Physics, Life Sciences, Economics, Finance, Linguistics, and others.

If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.

English Language Requirements

We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously.

We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications.

If your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes.

Contact: Admissions Team +44 (0) 1524 592032 or email

Course structure

You will study a range of modules as part of your course, some examples of which are listed below.

Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research. Not all optional modules are available every year.



Fees and funding

Location Full Time (per year) Part Time (per year)
Home £13,600 £6,800
International £29,150 £14,575

General fees and funding information

Scholarships and bursaries

You may be eligible for the following funding opportunities, depending on your fee status and course. You will be automatically considered for our main scholarships and bursaries when you apply, so there's nothing extra that you need to do.

Unfortunately no scholarships and bursaries match your selection, but there are more listed on scholarships and bursaries page.

If you're considering postgraduate research you should look at our funded PhD opportunities.

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We also have other, more specialised scholarships and bursaries - such as those for students from specific countries.

Browse Lancaster University's scholarships and bursaries.

Important Information

The information on this site relates primarily to 2024/2025 entry to the University and every effort has been taken to ensure the information is correct at the time of publication.

The University will use all reasonable effort to deliver the courses as described, but the University reserves the right to make changes to advertised courses. In exceptional circumstances that are beyond the University’s reasonable control (Force Majeure Events), we may need to amend the programmes and provision advertised. In this event, the University will take reasonable steps to minimise the disruption to your studies. If a course is withdrawn or if there are any fundamental changes to your course, we will give you reasonable notice and you will be entitled to request that you are considered for an alternative course or withdraw your application. You are advised to revisit our website for up-to-date course information before you submit your application.

More information on limits to the University’s liability can be found in our legal information.

Our Students’ Charter

We believe in the importance of a strong and productive partnership between our students and staff. In order to ensure your time at Lancaster is a positive experience we have worked with the Students’ Union to articulate this relationship and the standards to which the University and its students aspire. View our Charter and other policies.