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Mathematics with Computer Science

Study level:
Undergraduate

Course summary

Mathematics forms the foundations of all technology and computing. This intrinsic link provides you with limitless opportunities to experiment and innovate, giving you the power to revolutionise business, healthcare, the government, and beyond.

By combining the study of Mathematics with Computer Science, you will gain the specialist skills and knowledge needed to excel in this field. You will develop invaluable insight into key concepts and systems in to tackle the biggest challenges of today - artificial intelligence, machine learning, data management, and cyber security and risks – and understand the mathematical concept and processes behind them.

What to expect
Our four-year MSci Hons Mathematics with Computer Science degree begins by guiding you through the mathematical concepts and methods that sit at the foundation of both disciplines. From multivariable calculus, probability and statistics, to logic, proofs, and theorems. Alongside this, you will be introduced to software development and the fundamentals of computer science, where you will gain essential technical knowledge and interdisciplinary skills.

Progressing into Year 2, through a range of core and optional modules, you will start to delve deeper into topics across both disciplines, and these include human-computer interaction, software design, advanced linear algebra, AI, cryptography, languages and compilation, security and risk, and stochastic processes. As part of this, you will apply your learning in group projects inspired by real-world challenges. For example, past students have demonstrated their software skills by developing a playable computer game.

In Year 3 is where you start to develop your interests through a wide choice of optional modules, customising your degree to suit your career ambitions.

Master’s-level training
You can advance your degree in Year 4 by studying Master’s modules and undertaking a major research project. This project will be supervised by an active researcher or undertaken as part of a collaborative industry project.

Personal development
You will develop valuable transferable skills such as data analysis, problem-solving and quantitative reasoning, all of which make you highly desirable to future employers. Your practical skills gained in programming, software design and testing prepare you for applications in the real world. These skills combined skills are honed by working in collaboration with fellow students, ruminating on theories and testing them out, delivering presentations and communicating your research results.

A supportive community
To help you transition from A-level to degree-level study, the School of Mathematical Sciences hosts weekly workshops, problem-solving classes, and one-to-one sessions. If you wish to engage with mathematics beyond that, the MathSoc hosts a weekly Maths Café that includes access to academic support and a casual space to chat with other students. You will also benefit from being a part of our School of Computing and Communications with access to societies such as LUHack and Women++@InfoLab. There’s also daily support sessions in the FAST Hub run by academics.

3 things our mathematics and computer science students want you to know:

  • The multidisciplinary nature of the degree and its industry-led approach opens doors to many different career paths, such as roles in data science, architecture, consultancy, software engineering, and video game development

  • There’s lots of great spaces to work in, like the InfoLab Sky Lounge or the Science & Technology labs. As well as access to cutting-edge equipment and facilities that are only available for computing students

  • Both Mathematics and Computer Science are incredibly collaborative disciplines. You will bounce ideas around with experts, or with students from all years. The PhD community has been right where we are, asking the same questions, and there’s even opportunities to talk with them and learn from them

How to apply

Apply by
14 January

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:
GG1K
Institution code:
L14
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2

Entry requirements

Qualification requirements

UCAS Tariff - Not accepted

A level - A*AA

A*AA including A level Mathematics or Further Mathematics OR AAA including A level Mathematics and Further Mathematics

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

May be accepted alongside A in A level Mathematics on a case by case basis

Access to HE Diploma

May be considered on a case by case basis

International Baccalaureate Diploma Programme - 38 points

with 17 points from the best 3 Higher Level subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

At Lancaster, we are committed to widening access to higher education for all. As part of this we take a holistic approach to reviewing applications, taking into account exceptional circumstances and potential as much as we can. We run a Contextual Offer Scheme which incorporates a reduced grade offer for applicants that meet our eligibility criteria. For more information on the scheme, and other widening participation activity such as the Lancaster Access Programme, please visit our website.

Learn more on the Lancaster University website

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 17 other mathematics courses
Date range:
2022-2024

Offer rate for UK school & college leavers

99% 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

77 Employment after 15 months (Most common jobs)

87 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

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

For information on our fees, please see www.lancaster.ac.uk/study/fees-and-funding.

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