Data Science (with a year in industry)

取得日期：2026-10-20、2026-10-29

https://www.york.ac.uk/study/undergraduate/courses/bsc-data-science-industry/

https://www.york.ac.uk/study/international/your-country/hong-kong/

Data Science (with a year in industry) (BSc) - Undergraduate, University of York

Our website uses cookies

You can change your cookie preferences at any time via the 'Cookies' link at the bottom of any page on our website.

For more information, see how we use cookies on our website(Opens in a new window)

Accept allReject optional

Necessary cookies and anonymous statistical cookies

Necessary cookies are required for the website to work properly. We also use anonymous statistical cookies to understand how our website is used and improve it. These cookies are set under the statistical purposes exemption as defined by the Information Commissioner's Office. Our cookies page explains how to opt-out from our use of statistical cookies.

Optional marketing cookies

Marketing cookies are used to show personalised ads and help us to measure how effective our adverts are.

marketingOnOff

Skip to content

Accessibility statement

Undergraduate

Applying

Visiting us

Fees and funding

Accommodation

Student life

Commuting

Careers and employability

Studying abroad

International students

Pre-uni programmes

Email updates

Parents and Supporters

Information for teachers

More Less

HomeStudy at YorkUndergraduateCourses 2027/28Data Science (with a year in industry) (BSc)

BSc (Hons) Data Science (with a year in industry)

Solve the challenges facing our data-driven world.

Year of entry: 2027/28

Overview

Course content

Teaching and assessment

Entry requirements

UCAS code

Institution code

Start date

September 2027

View semester dates

4 years full-time

Typical offer

Full entry requirements

School/department

Department of Computer Science, Department of Mathematics

UK (home) fees

International and EU fees

Apply for this course

For international students

Get information for your region, from entry requirements to scholarship opportunities. Sign up for email updates to stay in touch.

Discover resources for international students

This course aims to produce multi-skilled, highly competent graduates who are equipped to make significant contributions to their career field and who understand the implications of their work, both for themselves and for society as a whole.

Combine mathematics, computing and engineering: Build expertise across three core disciplines, developing the analytical, computational and technical skills that employers value in today's data-driven economy. On this course you will learn how to analyse, manage and interpret data using programming, machine learning and statistical techniques, transforming information into actionable insights that solve practical problems.

Develop industry-ready data science skills: Complete a substantial research project while gaining experience in critical analysis, collaborative working and professional problem-solving, preparing you to make an immediate impact in a wide range of careers.

Study in modern facilities at the heart of our computing community: You'll learn in the purpose-built Ian Wand Building, with access to software and hardware laboratories, collaborative learning spaces and specialist research facilities that support both teaching and world-leading research.

Benefit from strong industry partnerships: With placement opportunities at organisations ranging from global companies to innovative local businesses, you'll gain paid professional experience, build sought-after skills and graduate ready to make an impact. This course is also available without a year in industry. See BSc Data Science.

Software lab virtual tour

Our software labs offer spaces for individual and group work.

The labs are used for seminars and practical sessions and are fully equipped with the latest software to support your studies.

Top 10 in the UK

for our departmental research, according to the Times Higher Education's ranking of the latest REF results (2021).

Committed to equality

We hold an Athena Swan Bronze Award, which recognises our commitment to gender equality.

You will gain a thorough grounding in ​d​ata science by studying modules in both computer science and math​ematics in your first two years​. Th​is interdisciplinary study will provide the fundamental knowledge that all ​data science graduates should possess, and the foundation to study more flexibly in your final year.

Year 3 (in industry)

Core modules

Software 1: Foundations of Programming for Computer Science

Introduction to Probability and Statistics

Foundations and Calculus

Software 2: Object Oriented Data Structures and Algorithms

DATA: Introduction to Data Science

Multivariable Calculus and Matrices

Academic integrity module

In addition to the above you will also need to complete our online Academic Integrity module.

This module covers some of the essential skills and knowledge which will help you to study independently and produce work of a high academic standard which is vital for success at York.

This module will:

define academic integrity and academic misconduct

provide interactive exercises to help you to assess whether you've understood the concepts

provide answers to FAQs and links to useful resources.

Systems and Devices 2: Operating Systems, Security, and Networking

Engineering 1: Software and Systems Engineering

Probability and Markov Chains

Intelligent Systems: Machine Learning and Optimisation

Linear Algebra

Statistical Inference and Linear Models

You will spend this year out in industry if you successfully obtain a placement. You will be supported in achieving this by our dedicated Industrial Placements Team, who is there to help you with your CV, give you interview tips, arrange interviews on campus, and will keep in touch with you while you are on your placement to ensure everything is going well. We have excellent relationships with a strong portfolio of companies across a range of industry sectors such as Amadeus, Anaplan, Cambridge Consultants, Dojo, ETAS (Bosch), Hitachi Rail, Informed Solutions, Jacobs and the Wellcome Sanger Institute.

Your year in industry gives you a chance to use what you have learned during your degree. As well as being paid a good salary, students who take a year in industry generally achieve better grades, develop a broader range of skills and are more attractive to future employers. Some students even find a job with their placement company before they graduate.

Find out more about a year in industry.

Before starting a placement that forms part of your course, you are likely to be asked by the placement provider to sign a confidentiality agreement. This is to ensure that you do not disclose any information that is confidential to the placement provider.

Computer Science project or Mathematics project

Governance in Data Science

Cloud-Based Data Analysis

Option modules

You will study two option modules. Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.

AI Search and Logic

Autonomous Robots

Cryptography Theory and Practice or Cryptography

Engineering 2: Automated Software Engineering

Deep Learning

Interaction Design and Evaluation

Qualitative Approaches to Investigating UX

Quantum Computation

Decision Theory and Bayesian Statistics

Survival Analysis and Generalised Linear Models

Mathematical Finance in Continuous Time

Mathematical Finance in Discrete Time

Advanced Regression and Multivariate Analysis

Numerical Analysis

Operations Research

Statistical Data Science

Time Series

Engineering LLM-Based Agents and Applications

Large Language Models

Natural Language Processing

Elective modules

You may be able to replace one option module with an elective module, studying a complementary subject, a language or an interdisciplinary topic.

Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.

Study abroad

There are opportunities for you to spend time abroad during your course:

Explore global opportunities

Learning outcomes

Every course at York has been designed to provide clear and ambitious learning outcomes. These learning outcomes give you an understanding of what you will be able to do at the end of the course. We develop each course by designing modules that grow your abilities towards the learning outcomes and help you to explain what you can offer to employers. Find out more about our approach to teaching and learning.

Learning outcomes for this course

Apply computational, mathematical and statistical theory to solve data science problems, using skills in problem analysis, representation, abstraction, programming and software engineering.

Critically analyse statements, arguments or conjectures that underpin the theory of mathematics, statistics and computer science and justify the principles chosen for such critiques.

Develop computational and mathematical techniques for critical analysis, mining, and management of data to learn and discover meaningful patterns and knowledge beneficial for real world applications.

Communicate complex ideas in computational and mathematical data science and the discovered knowledge in a clear and organised manner, at a level appropriate for the intended recipients and present an effective summary of these ideas.

Adapt to new and unfamiliar challenges in computational and mathematical data science, recognising appropriate ideas and approaches drawn from a range of technologies, languages, paradigms, models and mathematical theories.

Apply computational and mathematical data science skills to practical problems and real-world datasets collected in collaboration with industrial partners, in a safe, ethical, and secure way.

Excellent facilities

Our modern, self-contained building houses software and hardware laboratories as well as a range of social learning spaces.

Dedicated placements team

We have a dedicated team to help you prepare for industrial placements, including our year in industry

The fees and funding information here is for students starting in the 2027/28 academic year.

If you take a year abroad or year in industry you'll pay a reduced rate of fees for that year.

Annual tuition fees

UK (home)

International and EU

The UK government has announced its intention to increase tuition fees from £9,790 to £10,050 for the 2027/8 academic year. We expect this to apply to new UK (home) undergraduate students starting their studies in September 2027.

UK (home) or international fees?

The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status.

Fees for subsequent years

UK (home) fees may increase within the government fee cap in subsequent academic years. We will notify you of any increase as soon as we can.

International fees are subject to increase in subsequent years in line with the prevailing Consumer Price Index (CPI) inflation rate (up to a maximum of 10%).

More information

For more information about tuition fees, any reduced fees for study abroad and work placement years, scholarships, tuition fee loans, maintenance loans and living costs see undergraduate fees and funding.

Additional costs

There are unlikely to be any mandatory additional costs associated with the course, although you may want to set aside £200 for optional photocopying and personal stationery over the duration of the course.

We'll confirm more funding opportunities for students joining us in 2027/28 throughout the year.

UK government loans

UK scholarships and bursaries

International scholarships

Country-specific funding

US loans

See Undergraduate scholarships for current information about funding opportunities for Computer Science students.

Living costs

You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.

Free online courses

Get a taste of university-level study on one of York's free short courses, including our subject course, 'Intelligent systems'.

York, Oxford, Cambridge, Imperial

Just four UK universities are rated Gold for teaching and top ten for research* in the latest national assessment exercises.

See why York is rated Gold for teaching

Explore our research performance

* Awarded joint 10th in the Times Higher Education ranking of the Research Excellence Framework 2021.

You’ll study and learn with academics who are active researchers, experts in their field and have a passion for their subjects. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace. Find out more about our approach to teaching and learning.

Teaching format

A typical week will involve about 10-15 hours of scheduled teaching time. Our courses are based on a series of lectures with associated laboratory sessions, programming classes and tutorials.

Throughout the course, you will have a personal supervisor responsible for guiding your studies. In addition to any timetabled sessions, you will meet with your supervisor regularly, and you can also go to them at any time should you have any issues, academic or personal. There are problem classes to help you put learning from lectures into practice and regular project supervision meetings for your individual project.

You will also undertake learning outside of the scheduled timetable. This can be through working in the labs, through reading recommended materials or by working through problems. Consequently, you'll need to be self-motivated, self-disciplined and willing to learn outside regular classes.

As you progress through the course you will develop your skills to become a more independent learner. You'll also spend time working on your individual research project later on in the course, in addition to timetabled activity.

In the UK, full-time students are expected to spend 1,200 hours a year learning. That's about 40 hours of classes and independent study each week during semesters. Everyone learns at a different rate, so the number of hours you spend on independent study will be different to other students on your course.

Facilities

The Department of Computer Science and the Department of Mathematics are both housed in the Ian Wand Building on Campus East. Built to the highest specifications, the Ian Wand Building is packed with cutting-edge facilities housed in a modern, self-contained building.

The Department of Computer Science houses professional grade software and hardware laboratories. In addition Computer Science has specialist spaces used by our research teams; depending on the topic of your final year project you may also use some of these environments.

The Department of Mathematics is a community of mathematicians from all over the world, engaged in world-class research and committed to excellence in teaching with a special emphasis on small groups and a friendly atmosphere.

Teaching location

The Department of Computer Science and the Department of Mathematics are both based on Campus East in the Ian Wand Building. You will be taught at a range of locations across Campus East and Campus West.

About our campus

Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around - everything is within walking or pedalling distance, or you can use the fast and frequent bus service. Take a campus tour.

Assessment and feedback

We use a variety of assessment techniques throughout your course. This allows you to practice different techniques, from report writing, presentations and live demos to timed programming assessments and closed exams. It also means that you are not disadvantaged by being assessed in any one way.

To aid your learning we provide feedback on your assessments in addition to the marks you receive. Our Departmental Examinations Team is also available should you have any assessment queries.

We also ask our students for feedback on the course at the end of each year. This helps to improve and modify what we do to help meet the needs of our students.

Virtual tours

Take a virtual tour of our modern, dedicated facilities.

Our study and social pod is open 24/7 for group and individual study and events. It comes with a kitchen including a fridge, microwave and boiling water tap.

Our dedicated hardware labs will introduce you to the basics of computer architecture, operating systems and program language construction, providing a basis for further study in later years.

Careers and skills

The move towards a digital economy creates demand for computer scientists and software engineers across a broad section of employers, so the skills you develop here will make you attractive to many organisations. Most of our graduates go into the field of IT/computing, followed by financial services, some undertake further study (eg PhD) and others go straight into industry (for example working for IBM, BAE Systems).

Many of our graduates are employed by software and electronics industries, but the continuing expansion of the use of computers in commercial and financial operations means that you will be able to find employment in other industries - and here your sharpened numeracy and analytical skills will have prepared you well.

Read some profiles of our past students and find out how their degree from York helps them to do jobs in organisations as diverse as Mars Inc and Cancer Research UK. Other companies that York graduates have gone on to work for include Amazon, BAE Systems, Morgan Stanley, G Research, Thales, the Civil Service, M&G Investments, Ubisoft, Rapita Systems, Sky, BT, Raspberry Pi, IBM, JP Morgan, Hut Group and Automaton Games.

Career opportunities

Computer programmer

Software engineer

Software developer

Business analyst

Research scientist

Network manager

IT Systems manager

Transferable skills

At York, you will gain a broad understanding of all of the essential scientific principles, engineering techniques and practices in computer science. This allows you to be flexible and adapt quickly in any field that you wish to go into. More specifically, we can identify four main skill areas:

analytical skills

research skills

management skills

communication skills

Turn ambition into achievement with our expert guidance and connections. From your first day here to life after graduation, we'll help you find your career advantage.

Qualification

A levels

AAA including Mathematics.

If you are studying towards a fourth A level, we will make an alternative offer of AABB including grade A in Mathematics.

Access to Higher Education Diploma

We accept the Access to Higher Education Diploma. The syllabus must contain a significant portion of Mathematics that is considered equivalent to A level standard. Applications will be considered on an individual basis - please contact the Department before you apply.

BTEC National Extended Diploma

DDM plus grade A in A level Mathematics (or equivalent qualification)

We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example:

Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics

Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics

Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics

European Baccalaureate

85% overall, including 85% in Mathematics

International Baccalaureate

36 points overall, including grade 6 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations).

T levels

We are currently not accepting T Levels for this course unless an additional A Level (or equivalent qualification) in Mathematics has been taken.

Scottish Highers / Advanced Highers

Advanced Highers - A in Mathematics plus

Scottish Highers - BBBB

We may also be able to consider three Advanced Highers or a combination of Highers and Advanced Highers, where an applicant does not meet the grade requirement through Highers alone. Please contact us to discuss your qualifications.

International foundation programme

Foundation Certificate from our International Pathway College or an appropriate alternative.

Other qualifications

We welcome applications offering a mix of OU, A level and other appropriate qualifications. Applications will be considered on an individual basis: please contact the Department before you apply.

Other international qualifications

Equivalent qualifications from your country

Alternative offers

Meeting the following additional criteria may qualify you for an alternative offer.

Criteria

Adjustment

Widening participation

ABB including A in Mathematics

This is conditional upon successful completion of the WP programme including the YorJourney module (Black Access Programme, Next Step York) or successful completion of Realising Opportunities More about widening participation.

Contextual offer

AAB including grade A in Mathematics.

If you achieve A or higher in the EPQ, you may be eligible for an alternative offer up to one A level grade (or equivalent) below our typical offer.

English language

If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

Minimum requirement

IELTS (Academic)

6.5, with a minimum of 6.0 in each component

Other English language qualifications

To see what other language tests we can accept and the scores required, visit our IELTS equivalences webpage and click on the IELTS requirement for your chosen course.

We also accept various school-leaving certificates to meet our English Language requirements. Please visit our country-specific information for further details.

For more information see our undergraduate English language requirements.

If you haven't met our English language requirements

You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.

The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements.

After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.

To apply to York, you'll need to complete an online application via UCAS (the Universities and Colleges Admissions Service).

How to apply

Next steps

Contact us

Get in touch if you have any questions

Dr Kofi Appiah

cs-ug-admissions@york.ac.uk

Department

Related courses

Computer Science (BSc)

Computer Science with Artificial Intelligence (BSc)

Computer Science with Cyber Security (BSc)

Computer Science and Mathematics (BSc)

Mathematics and Computer Science (MMath)

Mathematics and Statistics (BSc)

Discover York

We offer a range of campus accommodation to suit you and your budget, from economy to premium.

Explore campus and city life and hear what our current students have to say about living here.

The city

Lively, full of culture and beautiful, York is regularly voted one of the best places to live and visit in the UK.

Find out more about York. Chat to staff and students and take the tour, on campus or online.

University of York

YO10 5DD

United Kingdom

Campus map

University of York Mumbai

University of York Europe Campus

Search the website

Information for

Prospective students

Current students

Schools and colleges

Businesses

Press and media

Study with us

Postgraduate taught

Postgraduate research

Online and distance learning

Apprenticeships

Open days and visits

Popular links

About the University

Departments, offices and sections

Getting here, maps and parking

Job vacancies

IT service status

Semester dates

© University of York

Legal statements

Modern slavery statement

Accessibility

課程頁官方原文 A levels AAA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AABB including grade A in Mathematics. https://www.york.ac.uk/study/undergraduate/courses/bsc-data-science-industry/ 取得日期：2026-10-20

香港／國際頁官方原文 Hong Kong Diploma of Secondary Education (HKDSE) If you are studying the Hong Kong Diploma of Secondary Education (HKDSE), you will need to achieve grades ranging from 4,4,3 to 5*,5,5. You can achieve this through a minimum of two elective subjects and one core subject (excluding Citizenship and Social Development/Liberal Studies). We also accept Chinese Language as one of your HKDSE cores. Subject-specific requirements apply for some courses.  HKDSE Score A level equivalent 5*55 A*AA 555 AAA 554 AAB 544 ABB 444 BBB If Mathematics is an essential subject requirement, you will need to complete two elective subjects plus Compulsory Mathematics and Extended Mathematics (either M1/Calculus and Statistics or M2/Algebra and Calculus). For direct entry, we also accept other international qualifications studied by students in Hong Kong, such as the US AP subject exams, as well as Canadian qualifications. Explore our undergraduate courses https://www.york.ac.uk/study/international/your-country/hong-kong/ 取得日期：2026-10-29

請查看下方完整入學要求原文，或向院校確認。