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Data Science

1 Study option · UndergraduateMain Site

Course summary

On this degree you'll develop ethical data-driven solutions which have a positive impact on organisations and society. Taught by active researchers and developed with industry experts, you'll learn the technical and analytical competencies necessary to become a responsible data scientist.

Taught by active researchers and developed with industry experts, prepare for a career where you can use data-driven solutions to make a positive impact on society.

Most data science courses are based in computer science or engineering departments - our degree is based in social sciences. That’s because we think it’s important to teach you not just the programming and analysis tools, but also how to use data-driven solutions responsibly and to the benefit of society.

Data science underpins all kinds of decision-making, so you could be studying data from a sports team to improve performance, using real-world data as part of the solution to climate change, or analysing business expenditure.

With opportunities to study abroad, work-based placements and developing your personal portfolio, you’ll be in a strong position for the future.

Why study this course?

  • Become a critical data professional - learn how to work with and analyse data, and use your findings to make ethical, sustainable decisions – engaging different audiences and stakeholders, using visualisation and statistical methods.

  • Uniquely employable - developed with industry experts and taught by active researchers, this course gives you the skills to manage the complexities of data in organisations and to integrate the work of data scientists with those in more managerial or policy-making roles.

  • Sustainability, equality, diversity and ethical practice - with a strong focus on sociological theory, you will explore the underpinning concepts of responsible data science and the ethical application of technical approaches. By studying with us, you'll develop solid foundations in ethics, sustainability, critical thinking, and how to influence outcomes of data to positively impact society.

How to apply

Application codes

Course code:
I2L9
Institution code:
S18

Open days

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 12 other computing courses
Date range:
2022-2024

Offer rate for UK school & college leavers

83% 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.

Student Outcomes

Operated by the Office for Students

65 Employment after 15 months (Most common jobs)

75 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

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