Skip navigation
Data Science (Study Abroad) at Lancaster University - UCAS

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. Broaden your horizons Enrich your university experience with a year overseas at one of our partner universities. In Year 3, head out to start your adventure and immerse yourself in a different cultural and academic community. We’ll support you all the way! 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 4, 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. 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. We hope you find your year overseas personally enriching. Our students often tell us that they return feeling more confident, self-assured and with a broader perspective to take into job interviews. 3 things our students want you to know:

  • We have a thriving community that engages in a range of extra-curricular societies and groups. They’re a great opportunity to meet new people and build your professional and technical skills. Current groups include LU Hack, the Lancaster University Ethical Hacking Group who practice safe (and legal!) hacking; FemTech, a group aimed at empowering non-male-identifying students in a male-dominated discipline; and the Computer Science Society, who facilitate talks and guest lectures to help you learn from and engage with experts within and beyond our staff
  • We tackle the important considerations of ethics and sustainability as we learn. It’s challenging but inspiring to think about the future of data science and its impact on our lives and society, and how we can drive that change
  • Our campus is a fantastic place to learn! We each have our favourite place to study: in the SkyLounge with amazing views, in our brand new high-end computer labs or in the Science and Technology Building's collaborative and creative labs


How to apply

This course is not open to application until the 13th May 2025.

Application codes

Course code:
G902
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

GCSE requirements: English Language grade C or 4


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.
Data Science (Study Abroad) at Lancaster University - UCAS