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Data Science (with Industrial Experience)

Msci (Hon) · 4 Years · Full-time · 21/09/2026 · UndergraduateMain Site

Course summary

There has never been a more exciting time to study data science. Digital data tracks every part of our lives and Data Scientists are essential to understanding that data and how it can be used to shape algorithms, artificial intelligence, statistical tools, and businesses. As a data science student, you will gain hands-on experience with a range of industry-standard software and tools used in both computing and data analysis. Prepare to tackle the systems that shape our world and take the next step towards an exciting career.

What to expect
This degree begins by introducing you to fundamental principles and concepts in computer science and statistics and how they are applied. You will gain skills in data analysis, problem-solving, and quantitative reasoning, alongside key mathematical methods. And, with this knowledge you will analyse data and draw on case studies to provide real-world solutions.

Going into Year 2, you will be able to delve deeper into what intrigues you most and specialise your studies towards a specific career path. This includes developing your understanding of linear algebra, probability, and statistics and building skills in programming and software design. You will gain insight into the challenges encountered by a range of industries by facing real-world scenarios and considering their solutions and wider impact through lectures and workshops. During this time, you will also enhance your research and employment skills through individual and group projects.

In Year 3, it is over to you! You will specialise your interests further by choosing from a range of optional topics in computer science and mathematics. Alongside this, you will undertake an individual data science project in collaboration with one of our academics, where you will further develop the skills and knowledge needed to thrive in your future career.

Master’s-level training
In Year 4, you will develop the skills and knowledge required to thrive in your future career, whether in industry or research. You will spend 10-15 weeks in industry, gaining valuable real-world experience. To complement this, you will study a range of modules, advancing your academic knowledge with a focus on independent and critical study.

Personal development
Throughout your degree, you will develop valuable transferrable skills such as teamwork, problem-solving, and communication, which make you highly desirable to future employers. The practical skills you gain in data analysis, software design, and testing prepare you for applications in the real world, and your insight into statistics and AI will make you a unique candidate prepared to face the challenges of the future. You will also learn how to collaborate, research, and present your findings, developing solutions as part of a team and as a leader. With industrial experience added to your CV, you will be a standout graduate.

Important Information
For the most up-to-date course information and more details, we recommend that you revisit our website before submitting your application.

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G903
Institution code:
L14
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

UCAS Tariff - Not accepted

A level - AAA

Subject requirement: A in A level Mathematics or Further Mathematics

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

May be considered alongside A level Mathematics or Further Mathematics with grade A

Access to HE Diploma

May be considered alongside A level Mathematics or Further Mathematics with grade A

International Baccalaureate Diploma Programme - 36 points

36 points overall with 16 points from the best 3 Higher Level subjects including 6 in HL Mathematics (either analysis and approaches or applications and interpretations)

GCSE requirements: English Language grade C or 4

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

At Lancaster, we are committed to widening access to higher education for all. As part of this we take a holistic approach to reviewing applications, taking into account exceptional circumstances and potential as much as we can. We run a Contextual Offer Scheme which incorporates a reduced grade offer for applicants that meet our eligibility criteria. For more information on the scheme, and other widening participation activity such as the Lancaster Access Programme, please visit our website.

Learn more on the Lancaster University website

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Data from:
This course and 13 other computing courses
Date range:
2022-2024

Offer rate for UK school & college leavers

89% Students aged 17/18 who applied to this course were offered a place.

How do you compare?

See how students with your grades have been accepted onto this course in the past.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

For information on our fees, please see www.lancaster.ac.uk/study/fees-and-funding.

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