Curious about studying Mathematics (Including Placement Year) - BSc (Hons)at University of Essex? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
Bachelor of Science (with Honours) - BSc (Hons)
University of Essex
Full Time
Oct 2026
4 Year
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What is the BSc (Hons) Mathematics?The BSc (Hons) Mathematics is a three-year degree, extendable to four with an optional year in placement or abroad.
You’ll secure a broad understanding of the fundamental of mathematics and their modern applications. ###
Why this courseThe BSc (Hons) Mathematics lets you blend pure mathematics, applied topics and statistical, financial and analytical methods. You’ll develop programming skills in languages such as Python and SQL, and learn to use computational toolkits such as MATLAB, Maple and R. Add a placement year or study abroad to put your learning into practice, expand your perspective and build confidence in professional or international settings. You’ll graduate into a well-rounded mathematician ready for a range of career paths, from financial analysis to engineering. Crucially, you’ll leave with a personal portfolio to demonstrate your mathematical capabilities in job applications and interviews. ###
Who should apply* Future mathematicians and researchers * Students eager to master the logical foundations of all science, engineering and technology * Those considering careers that apply mathematics or further the modern understanding * Practical, analytic thinkers
This module will allow you to build your knowledge of differentiation and integration, how you can solve first and second order differential equations, Taylor Series and more.
Matrices and complex numbers are two fundamental concepts which arise throughout mathematics. In this module you will be introduced to these objects and learn fundamental techniques for working with them in a variety of contexts.
In this module you will learn the fundamentals of probability and statistics, including axioms and combinatorial analysis, distributions, and independence conditions. You will learn how to apply the addition rule of probability and construct diagrams to visually represent data sets. The course also covers the use of descriptive statistics to analyse data and provides hands-on experience with the R software package.
This module provides an in-depth introduction to ideas from Newtonian mechanics and dynamics which have played a crucial role in the evolution of mathematics. You will apply these ideas in various physical contexts, and develop your skills and understanding through the use of relevant software packages.
This module introduces programming skills and their applications in a range of mathematical contexts. Mathematical modelling skills will be an important focus, along with structuring and implementing code in MATLAB and R. To help you consolidate these skills, a key part of the module will be investigative computational modelling studies.
Want to develop your mathematical skills by solving a variety of problems? Keen to write elegant and fluent mathematical arguments? In this module you will encounter a range of problem-solving techniques for situations across mathematics, including calculus, algebra, combinatorics, geometry and mechanics.
This module will provide you with a foundation of knowledge on the mathematics of sets and relations. You will develop an appreciation of mathematical proof techniques, including proof by induction.
What skills do you need to succeed during your studies? What about after university? How will you harness your knowledge and soft skills to realise your career goals? This module helps you take an active role in developing transferrable skills and capitalising on your unique background. As well as broad reflection on your professional development, this module will help you explore different career directions and prepare you for the application process, supported by an advisor from within the department.
This module continues your journey into probability and statistics. Topics include distribution theory, estimation and Maximum Likelihood estimators, hypothesis testing, basic linear regression and multiple linear regression. You will continue to develop your skills with implementations in R.
How do we rigorously discuss notions of infinity and the infinitely small? When do limits and derivatives of functions make sense? This module introduces the mathematics underlying modern calculus. Fundamental theorems are proved about sets, sequences and series of real numbers, and about continuous and differentiable functions of a single real variable.
In this module, you will learn how to extend techniques from calculus to vector-valued systems, through classical concepts such as gradient, divergence and curl. You will learn central theorems about these operators, and examine various applications and examples.
Linear systems are some of the most widely-applied concepts in modern algebra. Beginning with the abstract axiomatic definitions of vectors, vector spaces and linear maps, this module allows you to derive powerful methods for understanding many different systems in mathematics and science.
The module introduces you to the key abstract algebraic objects of groups, rings and fields and develops their fundamental theory. The theory will be illustrated and made concrete through numerous examples in settings that you will already have encountered.
Ordinary differential equations are the backbone of much applied mathematics, arising everywhere that a physical, financial or other system changes continuously. This module introduces techniques for studying classes of linear and nonlinear differential equations, and for interpreting their solutions.
What skills do you need to succeed during your studies? What about after university? How will you harness your knowledge and soft skills to realise your career goals? This module helps you take an active role in developing transferrable skills and capitalising on your unique background. As well as broad reflection on your professional development, this module will help you explore different career directions and prepare you for the application process, supported by an advisor from within the department.
This module extends analytical and algebraic techniques to functions of complex variables, and their applications. You will develop powerful tools for studying functions via their zeroes and poles, including the powerful Residue Theorem for calculating real integrals.
What skills do you need to succeed during your studies? What about after university? How will you harness your knowledge and soft skills to realise your career goals? This module helps you take an active role in developing transferrable skills and capitalising on your unique background. As well as broad reflection on your professional development, this module will help you explore different career directions and prepare you for the application process, supported by an advisor from within the department.
Placement Year
4.3
