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2023 - 2024
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

If the course start date is before 31 December 2023 and you have already submitted an application, this course can be added. If you have not submitted an application contact the university or college direct.

If the courses start date is between 01 January and 31 July 2024, click the 'Apply' button to make an application.

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14Oct
Keele University - Undergraduate Open Day
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15Oct
Keele University - Undergraduate Open Day
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18Nov
Keele University - Undergraduate Open Day
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Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Combine the fascinating and complex field of Biology with the exciting discipline of Data Science to gain new insight into health and disease. From discovering statistical patterns in large datasets, to using machine learning and AI, our Biology and Data Science BSc will equip you with the knowledge, analytical, problem-solving and computational skills to advance in a variety of careers. Why choose this course?

  • 5th for student satisfaction in England for Biology (National Student Survey, 2021)
  • Professional accreditation pathway in Biology is available
  • Blend strong theoretical foundations with practical applied knowledge in this cross-discipline degree
  • Develop your practical skills in Keele's state-of-the-art Central Science Laboratories (CSL) and David Attenborough Laboratories
  • All necessary knowledge in mathematics, statistics and coding is provided within relevant modules
Most of society's global challenges are connected to biology - from assessing the effect of medication on the human body to exploring methods to prevent species extinction. Studying Biology covers a range of fundamentals, as well as topics including physiology and anatomy, ecology and plant biology, and animal behaviour and microbes, viruses and parasites. In data science you will explore the fundamental concepts underlying the analysis of complex data together with techniques for applying these using a contemporary programming language. You will look at data science and its relationship with business analytics, statistics, machine learning and artificial intelligence and examine the processes techniques used to extract information from raw data. Building on the knowledge you have learnt in both subjects, you will progress to explore advanced topics in your second and third years. From AI, data visualisation and deep learning, to investigating the real life applications of biology in the diagnosis, treatment and management of disease - you will develop the advanced knowledge and skills to carry out your own independent studies. About Keele Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university. We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level. Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.

Modules

For a list of indicative modules please visit the course page on the Keele University website.

How to apply

25Jan

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:
GC41
Institution code:
K12
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

This course may be available at alternative locations, please check if other course options are available

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://www.keele.ac.uk/study/undergraduate/undergraduatecourses/datascienceandbiology/#entry-requirements

Unistats information

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please note, our fees for 2023 entry will be available soon. Although we review our fees annually and these may change, our 2022 entry fees are available on our website: keele.ac.uk/study/undergraduate/tuitionfeesandfunding/undergraduatetuitionfees/

Provider information

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Our COVID-19 information

Keele University
Keele
ST5 5BG

Clearing contact details

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Admissions

01782 491120

Course Clearing information

Additional information

From Wednesday 5 July: 9.00 am - 5.00 pm (weekdays only) Thursday 17 August: 8.00 am - 8.00 pm Friday 18 August: 8.30 am - 6.00 pm Saturday 19 August: 10.00 am - 3.00 pm Sunday 20 August: 10.00 am - 1.00 pm From Monday 21 August: 9.00 am - 5.00 pm ( weekdays only)

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Course contact details

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Biology and Data Science at Keele University - UCAS