Mathematics with Computing

The Bachelor of Science in Mathematics with Computing at the University of Essex offers a comprehensive and rigorous curriculum designed to develop students' analytical, problem-solving, and technical skills in both mathematics and computing. This interdisciplinary programme aims to equip graduates with a deep understanding of mathematical principles alongside practical computing skills, preparing them for a wide range of careers in industry, finance, research, and technology sectors. Throughout the course, students will explore fundamental areas such as calculus, algebra, statistics, and discrete mathematics, alongside computing topics including programming, algorithms, data structures, and software development. The programme emphasizes both theoretical foundations and applied techniques, fostering the ability to model complex systems and analyze data effectively. Students have opportunities to engage in hands-on projects, collaborative team work, and real-world problem solving, which enhance their practical competencies and employability. The University of Essex employs innovative teaching methods, including lectures, seminars, laboratory sessions, and online resources, supported by expert academic staff with extensive industry experience. The degree also offers optional modules allowing students to specialise in areas such as artificial intelligence, data analysis, cybersecurity, or financial mathematics. In addition to core modules, students undertake a final year project that consolidates their learning and demonstrates their ability to conduct independent research. The programme is designed to provide a strong foundation for postgraduate study or for entering the workforce directly. Students benefit from state-of-the-art facilities, a vibrant academic community, and strong links with industry partners, ensuring a high-quality educational experience aligned with current market needs. Graduates of the Mathematics with Computing programme at Essex are well-equipped with versatile skills that open doors to diverse career opportunities, including software development, data science, financial modelling, and academic research. The course fosters critical thinking, creativity, and technical proficiency, making it an ideal choice for students passionate about the power of mathematics and computing in solving real-world problems and advancing technological innovation.

Detailed Course Facts

• GBP 9000 Year (EEA)
• GBP 11950 Year (Non-EEA)

• English

Course Content

The special characteristics of our courses are flexibility and choice. In your first year, you usually take four or five modules that include pre-requisite(s) for your course but, in many cases, mean you can try subjects you have not come across before. If you are taking science and engineering subjects, then these options are slightly restricted because our science modules tend to rely on previous knowledge of the subject.
With a small number of exceptions, if you successfully complete the first year of your BSc, then you are qualified to enter the second year not only of that course but also of a range of other courses: for example, if you are a BSc student who takes economics, politics, philosophy and sociology in your first year, then you have a choice of at least two courses and, in some cases, as many as five. This means you can change your course, providing you have taken the appropriate pre-requisites and places are available.
We offer a range of optional modules in your second- and final-years and most courses allow you to undertake a final-year project, an individual piece of research on a topic that interests you. Some of our science courses offer an optional extra year of an industrial placement.
We operate a credit framework for our awards, which is based on principles widely used across the UK university sector. Each module has a credit rating attached and our standard three-year course consists of 360 credits (120 credits in your first year, and 240 credits across your second and final years).
Please note that module information on our course finder provides a guide to course content and may be subject to review on an annual basis.

Year 1

Calculus;
Linear Mathematics;
Statistics;
Further Calculus;
Introduction to Computing;
Object-oriented Programming;
Discrete Mathematics; and
Introduction to Programming

Year 2

Mathematical Methods;
Optimisation (Linear Programming);
Application Programming;
Data Structures and Algorithms;
Probability and Statistics I and;
four mathematical sciences options

Year 3

Ordinary Differential Equations;
Complex Variables and Applications;
four mathematical sciences options; and
two School of Computer Science and Electronic Engineering options
Please note that Mathematics Careers and Employability is a compulsory module which must be taken in all years (not including Year Abroad) but is non-credit bearing and does not contribute towards your final degree.

English Language Requirements

IELTS band : 6

To study at this university, you have to speak English. We advice you to

Requirements

A-levels: ABB-BBB, including Mathematics (please note that we are unable to accept A-level Use of Mathematics in place of A-level Mathematics)
GCSE English: C
IB: 32-30 points, including a 5 in Higher Level Mathematics (we consider IB certificates at the Higher Level on a case-by-case basis)
English language requirements for applicants whose first language is not English: IELTS 6.0 overall with minimum 5.5 in each component (or equivalent). Different requirements apply for second year entry.

Work Experience

No work experience is required.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Related Scholarships*

• Academic Excellence Scholarship

  "The Academic Excellence Scholarship can provide up to a 50 % reduction in tuition per semester. These scholarships will be renewed if the student maintains superior academic performance during each semester of their 3-year Bachelor programme. The scholarship will be directly applied to the student’s tuition fees."

• Access Bursary

  Bursary for UK students all subjects where the variable tuition fee rate is payable.

• Alumni Bursary

  Alumni Bursary for UK Undergraduate students

* The scholarships shown on this page are suggestions first and foremost. They could be offered by other organisations than University of Essex.

Funding

For up-to-date information on funding opportunities at Essex, please visit: www.essex.ac.uk/studentfinance.

The Mathematics with Computing program at the University of Essex is a comprehensive undergraduate degree designed to provide students with a strong foundation in mathematical principles alongside practical computing skills. This course aims to develop a deep understanding of mathematical theories, problem-solving abilities, and proficiency in programming, preparing graduates for careers in a variety of sectors such as finance, data analysis, software development, and research. The program covers core areas including algebra, calculus, statistics, and discrete mathematics, integrating these with computing modules in programming languages, algorithms, and software engineering. Students will engage in both theoretical and applied aspects of mathematics and computing, often participating in project work and collaborative tasks to enhance practical skills. The course is delivered through a mix of lectures, tutorials, and practical labs, fostering an interactive learning environment. Students benefit from access to modern computing facilities and resources, enabling hands-on experience with current technologies. The program is designed to be flexible, offering optional modules that allow students to tailor their studies according to their interests, such as artificial intelligence, machine learning, or cybersecurity. The University of Essex emphasizes employability, providing opportunities for placements, internships, and engagement with industry projects to ensure students are well-prepared for employment after graduation. The course also benefits from the university's research-led teaching approach, involving students in cutting-edge developments in mathematics and computing. Graduates of the program are equipped with analytical skills, technical knowledge, and a problem-solving mindset, making them highly suitable for roles in the technology sector, finance industry, academia, and beyond. The program duration is typically three years for full-time study, with options for sandwich or part-time modes. Overall, the Mathematics with Computing program aims to produce versatile and skilled graduates ready to meet the challenges of a rapidly evolving technological landscape.