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Two students looking at a computer

Data Science BSc

Information School

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    You are viewing this course for 2023-24 entry.

    Key details

    Course description

    Students studying in the library

    Taught by active researchers and developed with industry experts, you'll learn the data, information and analytical skills to become a critical data professional.

    You'll analyse and critically evaluate a wide range of different real-life problems from a data science perspective. Whether it be studying data from a sports team to improve performance, using real-world data as part of the solution to climate change, preparing for spikes in hospital admissions or analysing business expenditure - data science is an evolving field. 

    You won't just be learning how to read and analyse data - you will be learning how to use data to make ethical decisions. The course has sustainability, equality, diversity and ethical practice at its core. You will be prepared for a career where you can use data-driven solutions to have a positive impact on society.

    On our course you'll:

    • become a dynamic, forward-thinking problem solver with a responsible approach to data and information
    • learn how to present data to different audiences and stakeholders, using visualisation and statistical methods
    • develop the skills you need to collaborate effectively with others to solve data-related problems and create responsible data solutions.

    Opportunities for study abroad, work-based placements and developing your personal portfolio will put you in a strong position for the future.

    The course is extended to four years if you opt to do a placement year or year abroad.


    Modules for this course are to be confirmed. From May of the year of entry, formal programme regulations will be available in our Programme Regulations Finder.

    Title: Data Science BSc
    UCAS code: TBC
    Years: 2023

    In year one, you'll develop fundamental capabilities and understandings in data science, including data visualisation and data modelling. With a strong focus on sociological theory, you will explore the underpinning concepts of responsible data science and the ethical application of technical approaches. You will also be introduced to computer programming and computational thinking.

    The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.

    Learning and assessment


    You'll learn through a mix of laboratories and practical classes, group work, interactive lectures and seminars, inquiry-based and self-directed learning. A diverse range of learning and assessment activities will support you to develop the Sheffield Graduate Attributes. You'll learn a broad set of skills, including teamwork and project-based tasks so that you will be ready for graduate career opportunities.

    On each module, you will be taught by subject specialists who are also active researchers in their field. This research-led approach means that our curriculum is current and relevant, and it is further supported by visiting lecturers and other industry-based experts.

    Our staff backgrounds and research reflect influences from computing, health, critical data studies and different social sciences disciplines, as well as experience from professional practice in data roles.


    Your lecturers are here to support your development, meaning that you’ll be given extensive feedback on your work. We use a range of assessment methods including, exams, online tests, group/individual presentations and coursework.

    Programme specification

    This tells you the aims and learning outcomes of this course and how these will be achieved and assessed.

    Find programme specification for this course

    Entry requirements

    With Access Sheffield, you could qualify for additional consideration or an alternative offer - find out if you're eligible

    The A Level entry requirements for this course are:

    A Levels + additional qualifications ABB + A in a relevant EPQ

    International Baccalaureate 34

    BTEC Extended Diploma DDD in a relevant subject

    BTEC Diploma DD in a relevant subject + A at A Level

    Scottish Highers AAAAB

    Welsh Baccalaureate + 2 A Levels B + AA

    Access to HE Diploma Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 36 at Distinction and 9 at Merit

    Other requirements
    • GCSE Maths grade 6/B

    The A Level entry requirements for this course are:

    A Levels + additional qualifications ABB + A in a relevant EPQ

    International Baccalaureate 33

    BTEC Extended Diploma DDD in a relevant subject

    BTEC Diploma DD in a relevant subject + B at A Level

    Scottish Highers AAABB

    Welsh Baccalaureate + 2 A Levels B + AB

    Access to HE Diploma Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 30 at Distinction and 15 at Merit

    Other requirements
    • GCSE Maths grade 6/B

    English language requirements

    You must demonstrate that your English is good enough for you to successfully complete your course. For this course we require: GCSE English Language at grade 4/C; IELTS grade of 6.5 with a minimum of 6.0 in each component; or an alternative acceptable English language qualification

    Equivalent English language qualifications

    Visa and immigration requirements

    Other qualifications | UK and EU/international

    If you have any questions about entry requirements, please contact the department.

    Information School

    The University of Sheffield Information School is ranked number one in the world for Library and Information Management in the QS World University Rankings by Subject 2021.

    By studying with us, you'll develop solid foundations in ethics, sustainability, critical thinking, and how to influence outcomes of data science to positively impact society.

    We offer an outstanding academic education through the principles of research-led teaching, so you're always challenged and up to date.

    The school has been at the forefront of developments in the information and data field for more than fifty years. The subject is characterised by its distinctive, interdisciplinary focus on the interactions between people, information and digital technologies.

    Our students are from around the world creating a multicultural, vibrant and invigorating environment where you can thrive in your learning. As part of our mission to provide world-quality university education in information, we aim to inspire and help you pursue your highest ambitions for your academic and professional careers.

    Our staff are experts in their field and work with organisations in the UK and worldwide, bringing fresh perspectives to your studies. They'll give you the advice and support you need to excel in your subject. We also work closely with partners and experts from industry, ensuring that your learning is always linked to your future career.

    You'll have access to a high-quality, specialised learning environment including cutting-edge computing suites and our iLab usability testing facilities.

    Information School

    Why choose Sheffield?

    The University of Sheffield

      A top 100 university 2022
    QS World University Rankings

      92 per cent of our research is rated in the highest two categories
    Research Excellence Framework 2021

      No 1 Students' Union in the UK
    Whatuni Student Choice Awards 2020, 2019, 2018, 2017

    Information School

    Number 1 in the world for library and information management

    QS World University Rankings by subject 2022

    Graduate careers

    As an evolving discipline, data science skills and knowledge are in strong demand with employers across a number of sectors.

    We've worked closely with employers and industry partners to develop our curriculum to provide you with the relevant skills and experience to develop your future career. Our course is designed to equip students with the capabilities 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.  

    All students have the opportunity to take either a placement year or a year abroad in between Levels 2 and 3.  Students can also opt for a work experience module in Level 3 to spend time developing real-world skills with a local partner organisation or business.

    Our annual Data Science Industry Day gives you an opportunity to meet employers and to link your learning at university with real-life contexts and challenges.

    Some examples of the areas you may choose to explore include:

    • Sustainability and global development
    • NGOs, charities and third sector organisations
    • Media and social media
    • Finance and business
    • Retail and ecommerce
    • Public sector, transport and health
    • Sports analysis
    • Academia and research

    Fees and funding


    Additional costs

    The annual fee for your course includes a number of items in addition to your tuition. If an item or activity is classed as a compulsory element for your course, it will normally be included in your tuition fee. There are also other costs which you may need to consider.

    Examples of what’s included and excluded

    Funding your study

    Depending on your circumstances, you may qualify for a bursary, scholarship or loan to help fund your study and enhance your learning experience.

    Use our Student Funding Calculator to work out what you’re eligible for.

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    The awarding body for this course is the University of Sheffield.

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