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Data Science (Placement Year)

1 Study option · 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 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.

Your placement
In Year 3, you will undertake a placement that will enable you to apply the knowledge and skills learnt so far and gain invaluable experience that will then inform your studies in Year 4 and your career beyond.

Although it’s up to you to find your placement, we will support you all the way. Our Careers Service will provide guidance on CVs, applications, interview techniques and creating a digital profile.

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 a year’s 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

Application codes

Course code:
G901
Institution code:
L14

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.

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Fees and funding

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