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MSci (Hons) Data Science

Solve the challenges facing our data-driven world.

Year of entry: 2025/26
Show year of entry: 2024

UCAS code

G201

Institution code

Y50

Length

4 years full-time

Typical offer

A*AA (full entry requirements)

Start date

September 2025 (semester dates)

UK (home) fees

£9,250 per year

International and EU fees

£28,800 per year

Undergraduate Open Days

Book your place for our Open Days on 22 and 23 June and 6 and 7 September.

Book your place

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.

The course has three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It's the combination of these three areas that make graduates attractive to employers, enabling an immediate contribution when moving into employment.

You'll be provided with a solid foundation in the principles and practices of data science, including relevant computer science components such as coding and machine learning, and mathematical areas such as probability, statistics and calculus. Key aspects of modern data science are covered, from the theoretical building blocks of linear algebra and algorithmics, to real-world implementations and discussion of the wider impacts that data science has on society.

You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. You'll learn how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. Study culminates in a focused research project in the field of data science which develops the skills to contribute professionally to solving complex commercial and industrial engineering problems.

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.

Course content

All students will study our core topics in computer science, which we have designed to be consistent with the Association for Computing Machinery (ACM) curriculum guidelines. These core topics provide the fundamental knowledge that all computer science graduates should possess, and the foundation to study more flexibly in the third year.

Placements

You can apply to spend a year in industry as part of this course.

Year 1

Core modules

Academic integrity module

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

Year 3

Core modules

As well as your project, you'll take two Data Science designated optional modules:

  • Governance of Data Science
  • Cloud-Based Data Analysis

Both Data Science modules need to be taken in either Year 3 or Year 4. If you take the modules in Year 4, you will need an additional assessment to reach Masters Level (M Level). This may, for example, be an extra exam question with stricter marking criteria. You cannot take a module at M Level in Year 4 that you have already completed at H Level in Year 3.

Option modules

You will study up to four option modules (depending on how many Data Science modules you choose). Examples can be found below. Some option module combinations may not be possible (you cannot take a module at M Level in Year 4 that you have already completed at H Level in Year 3). The options available to you will be confirmed after you begin your course.

Most option modules are open to both third and fourth year students subject to meeting module prerequisites. When you take option modules in Year 4, you will need an additional assessment to reach Masters Level (M Level). This may, for example, be an extra exam question with stricter marking criteria.The options available to you will be confirmed after you begin your course.

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.

Year 4

Core modules

As well as your project, you'll take two Data Science designated optional modules:

  • Governance of Data Science
  • Cloud-Based Data Analysis

Both Data Science modules need to be taken in either Year 3 or Year 4. If you take the modules in Year 4, you will need an additional assessment to reach Masters Level (M Level). This may, for example, be an extra exam question with stricter marking criteria. You cannot take a module at M Level in Year 4 that you have already completed at H Level in Year 3.

Option modules

You will study up to four option modules (depending on how many Data Science modules you choose). Examples can be found below. Some option module combinations may not be possible (you cannot take a module at M Level in Year 4 that you have already completed at H Level in Year 3). The options available to you will be confirmed after you begin your course.

Most option modules are open to both third and fourth year students subject to meeting module prerequisites. When you take option modules in Year 4, you will need an additional assessment to reach Masters Level (M Level). This may, for example, be an extra exam question with stricter marking criteria.The options available to you will be confirmed after you begin your course.

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.

Learning by design

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.

Students who complete this course will be able to:

  • 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.
  • Apply theoretical and practical knowledge of chosen areas of cutting-edge computer science and available commercial technology to new or unfamiliar problems they encounter in employment or further study, and communicate the results in a significant technical report or other appropriate medium.    

Excellent facilities

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

Fees and funding

Annual tuition fees

UK (home) International and EU
£9,250 £28,800

The fees above are for students starting their course in the 2024/25 academic year. Fees for 2025/26 will be confirmed later in the year.

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.

Funding

We'll confirm more funding opportunities for students joining us in 2025/26 throughout the year.

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.

Teaching Excellence Framework Gold Award

Gold-standard education

Our teaching, learning and student experience is outstanding, recognised by a Gold rating from the Office for Students in the 2023 national assessment (Teaching Excellence Framework).

Why we’re gold-rated

Teaching and assessment

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

Built to the highest specifications, the Department of Computer Science is packed with cutting-edge facilities housed in a modern, self-contained building.

Computer Science houses four software and two hardware laboratories which you will be able to use depending on the topic of your third year project. These facilities are professional grade and used by our research teams so, depending on your interests, you'll get first hand exposure to 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 is based on Campus East and the Department of Mathematics is based on Campus West. As a result, you will be taught at locations across campus. 

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

Entry requirements

Typical offer
A levels

A*AA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AAAA including 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 DDD and grade A in A level Mathematics (or equivalent qualification). We consider applicants with a combination of other BTEC Level 3 qualifications, and this must include an A level in Mathematics at grade A or above (or equivalent qualification). Please contact us to discuss your combination of qualifications.
Cambridge Pre-U D2, D3, D3 including Mathematics
European Baccalaureate 87% overall, including 85% in Mathematics
International Baccalaureate 37 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 - ABBB

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 If you successfully complete one of the following programmes, you may be eligible for an alternative offer up to three A level grades (or equivalent) below our typical offer: Black Access Programme, Next Step York, Realising Opportunities, YESS, YorWay to York. More about widening participation.
Contextual offers If you have experience of local authority care or live in an area with low progression to university, you may be eligible for an alternative offer up to two A level grades (or equivalent) below our typical offer. More about contextual offers.
EPQ We recognise the value of this qualification although it will not be included as a condition of entry. It may be taken in to consideration when you receive your results.

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
Cambridge CEFR 176, with a minimum of 169 in each component
Oxford ELLT 7, with a minimum of 6 in each component
Duolingo 120, minimum 105 in each component
GCSE/IGCSE/O level English Language (as a first or second language) Grade C / Grade 4
LanguageCert SELT B2 with a minimum score of 33/50 in each component
LanguageCert Academic B2 Communicator with a minimum score of 33/50 in each component
KITE 459 Main Flight score with 426 in each component
Skills for English B2: Merit overall, with Pass with Merit in each component
PTE Academic 61, with a minimum of 55 in each component
TOEFL 87 overall, with a minimum of 21 in each component
Trinity ISE III Merit in all components

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.

Applying

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

Next steps

Contact us

Get in touch if you have any questions

Learn more

Department of Computer Science, Department of Mathematics

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