Key Information

Full-time

3-4 years

Typical Offer

BBC (112 UCAS Tariff points from a minimum of 3 A levels)

Campus

Brayford Pool

Validation Status

Validated

Fees

View

UCAS Code

GF13

Course Code

MTHPHYUB

Key Information

Full-time

3-4 years

Typical Offer

BBB (120 UCAS Tariff points from a minimum of 3 A levels)

Campus

Brayford Pool

Validation Status

Validated

Fees

View

UCAS Code

GF13

Course Code

MTHPHYUB

BSc (Hons) Mathematics and Physics BSc (Hons) Mathematics and Physics

Mathematics at Lincoln is ranked 7th in the UK for overall student satisfaction in the National Student Survey 2019.

Key Information

Full-time

3-4 years

Typical Offer

BBC (112 UCAS Tariff points from a minimum of 3 A levels)

Campus

Brayford Pool

Validation Status

Validated

Fees

View

UCAS Code

GF13

Course Code

MTHPHYUB

Key Information

Full-time

3-4 years

Typical Offer

BBB (120 UCAS Tariff points from a minimum of 3 A levels)

Campus

Brayford Pool

Validation Status

Validated

Fees

View

UCAS Code

GF13

Course Code

MTHPHYUB

Teaching and Learning During COVID-19

The current COVID-19 pandemic has necessitated some adaptations to ensure a safe learning experience for all students and staff.

From autumn 2020 we plan to deliver an on-campus experience with appropriate social distancing. It is our intention that teaching will be delivered through a mixture of face-to-face and online sessions.

Wherever possible, we have adapted and refined practical and hands-on sessions to allow these to take place face-to-face, with smaller class sizes where academic staff engage with each student as an individual, working with them to enhance their strengths. Students get to know each other better and appropriate social distancing measures can be maintained.

All the learning outcomes of the course will be delivered through this approach. As and when restrictions start to lift, we aim to deliver an increasing amount of face-to-face teaching.

Our aim will be that online delivery is engaging and that students have the opportunity to interact with their tutors and be part of a learning community with fellow students through a range of different digital tools, including our dedicated online managed learning environment. This will help prepare students for a 21st Century workplace, with seamless blending of digital and face-to-face interactions.

We will be clear with students at the start of teaching about the specific approach to teaching for their programme.

Lectures involving large groups will be delivered online using interactive software in a range of different formats to ensure an engaging experience.

At Lincoln we aim to make every contact count and seminars and small group sessions will be managed to maximise face-to-face contact.

Practicals, workshops, studio sessions and performance-based sessions are being planned to be delivered face-to-face in a socially distanced way with appropriate PPE.

It is currently hard to predict the availability of trips, placements and other external experiences, but in all cases we are working hard to try and offer these where possible and within the framework of government guidelines at the time.

Personal tutoring is key to our delivery as this provides students with a dedicated tutor to support them throughout their time here at the University of Lincoln.

Safety and adherence to government guidelines is our first concern as we support students to engage in all aspects of their study here at Lincoln.

Dr Fabien Paillusson - Programme Leader

Dr Fabien Paillusson - Programme Leader

Dr Fabien Paillusson's interests lie in theoretical and computational modelling, the foundations of physics, physics and maths education, AI (Machine Learning and Automated Reasoning), logic, and the philosophy of science.

School Staff List

Welcome to BSc (Hons) Mathematics and Physics

Taking a joint honours in Mathematics and Physics at Lincoln allows students to explore the interplay between these two important disciplines, and the ways in which they co-exist and complement each other.

The degree aims to provide a broad education in mathematics. This includes pure and applied mathematics. This is alongside fundamental and applied physics, enabling students to develop the knowledge and problem-solving skills vital to modern science and technology.

This course is designed to provide a thorough foundation in analytical and numerical methods, practical scientific skills, and research techniques. It gives students the opportunity to develop a range of transferable skills, such as communication and problem-solving.

Welcome to BSc (Hons) Mathematics and Physics

Taking a joint honours in Mathematics and Physics at Lincoln allows students to explore the interplay between these two important disciplines, and the ways in which they co-exist and complement each other.

The degree aims to provide a broad education in mathematics. This includes pure and applied mathematics. This is alongside fundamental and applied physics, enabling students to develop the knowledge and problem-solving skills vital to modern science and technology.

This course is designed to provide a thorough foundation in analytical and numerical methods, practical scientific skills, and research techniques. It gives students the opportunity to develop a range of transferable skills, such as communication and problem-solving.

How You Study

In the first year students can study modules including Algebra; Calculus; and Electricity, Magnetism, Thermal and Quantum Physics. In the second year students progress modules which include Condensed Matter Physics, Scientific Computing, and Differential Equations, alongside the opportunity to complete an group project. In the third year students can study Numerical Methods and Statistical Mechanics and have the opportunity to select from a range of optional modules.

In the first year students also have the chance to benefit from an additional three hours per week of problem solving tutorials. In addition, the School of Mathematics and Physics runs a tutor system for first year students, providing one hour weekly tutor sessions in small groups.

The course is taught via lectures, problem-solving classes, computer based classes and seminars.

What You Need to Know

We want you to have all the information you need to make an informed decision on where and what you want to study. To help you choose the course that’s right for you, we aim to bring to your attention all the important information you may need. Our What You Need to Know page offers detailed information on key areas including contact hours, assessment, optional modules, and additional costs.

Find out More

How You Study

In the first year students can study modules including Algebra; Calculus; and Electricity, Magnetism, Thermal and Quantum Physics. Second year students progress onto modules which include Condensed Matter Physics, Scientific Computing, and Differential Equations, alongside the opportunity to complete an group project. In the third year students can study Numerical Methods and Statistical Mechanics and have the opportunity to select from a range of optional modules.

In the first year students also have the chance to benefit from an additional three hours per week of problem solving tutorials. In addition, the School of Mathematics and Physics runs a tutor system for first year students, providing one hour weekly tutor sessions in small groups.

The course is taught via lectures, problem-solving classes, computer based classes and seminars.

What You Need to Know

We want you to have all the information you need to make an informed decision on where and what you want to study. To help you choose the course that’s right for you, we aim to bring to your attention all the important information you may need. Our What You Need to Know page offers detailed information on key areas including contact hours, assessment, optional modules, and additional costs.

Find out More

An Introduction to Your Modules

Module Overview

This module begins with refreshing and expanding some of the material from the A-levels Maths, such as the binomial theorem, division of polynomials, polynomial root-finding, and factorisations. Then the Euclidean algorithm is introduced with some of its many applications, both for integers and for polynomials. This naturally leads to a discussion of divisibility and congruences, for integers and for polynomials, with emphasis on similarities and as a step towards abstraction.

Module Overview

This module focuses on the concepts of the derivative and the Riemann integral, which are indispensable in modern sciences.

Two approaches are used: both intuitive-geometric, and mathematically rigorous, based on the definition of continuous limits. Important results are the Mean Value Theorem, leading to the representation of some functions as power series (the Taylor series), and the Fundamental Theorem of Calculus which establishes the relationship between differentiation and integration. Further calculus tools are explored, such as the general properties of the derivative and the Riemann integral, as well as the techniques of integration. In this module, students may deal with many 'popular' functions used throughout mathematics.

Module Overview

This module presents an introduction to computer packages for analytic formulas manipulation (computer algebra) and technical computing. Students will also have the opportunity to develop skills including; utilising a logbook as a factual record and as reflective self-assessment to support their learning.

Module Overview

This module presents a core understanding of the main subjects of physics. Students have the opportunity to learn basic concepts of electricity, magnetism, thermal and quantum physics. Students also have the opportunity to develop problem solving skills using this material. This module is the cornerstone for a number of subsequent modules.

Module Overview

This module will present an introduction to the fundamentals of waves, geometrical optics and mechanics, including their mathematical foundations.

Module Overview

This module describes vector spaces and matrices.

Matrices are regarded as representations of linear mappings between vector spaces. Eigenvalues and eigenvectors are introduced, which lead to diagonalization and reduction to other canonical forms. Special types of mappings and matrices (orthogonal, symmetric) are introduced. Applications of linear algebra to geometry of quadratic surfaces are explored.

Module Overview

This module begins with an introduction of a probability space, which models the possible outcomes of a random experiment. Basic concepts such as statistical independence and conditional probability are introduced, with various practical examples used as illustrations. Random variables are introduced, and certain well-known probability distributions are explored.

Further study includes discrete distributions, independence of random variables, mathematical expectation, random vectors, covariance and correlation, conditional distributions and the law of total expectation. The ideas developed for discrete distributions are applied to continuous distributions.

Probability theory is a basis of mathematical statistics, which has so many important applications in science, industry, government and commerce. Students will have the opportunity to gain a basic understanding of statistics and its tools. It is important that these tools are used correctly when, for example, the full picture of a problem (population) must be inferred from collected data (random sample).

Module Overview

This module provides students the opportunity to learn a variety of transferable skills: to communicate scientific ideas via a variety of media, to work in groups, to manage and plan projects, to keep record of work.

Students have the opportunity to develop an understanding of general and specialized databases, their uses and searches. Group study can develop Students' skills in team-working around investigating a topic from literature. Students have the opportunity to take on administrative roles within the team and work towards common aims and objectives.

Module Overview

The concepts of groups, rings and fields are introduced, as examples of arbitrary algebraic systems. The basic theory of subgroups of a given group and the construction of factor groups is introduced, and then similar constructions are introduced for rings. Examples of rings are considered, including the integers modulo n, the complex numbers and n-by-n matrices. The ring of polynomials over a given field is studied in more detail.

Module Overview

This module describes the basic principles of condensed matter physics, which directly relates to the physics of all materials around us.

Module Overview

Calculus techniques already provide solutions of simple first-order differential equations. Solution of second-order differential equations can sometimes be achieved by certain manipulations. Students may learn about existence and geometric interpretations of solutions, even when calculus techniques do not yield solutions in a simple form. This is a part of the existence theory of ordinary differential equations and leads to fundamental techniques of the asymptotic and qualitative study of their solutions, including the important question of stability. Fourier series and Fourier transform are introduced.

This module provides an introduction to the classical second-order linear partial differential equations and techniques for their solution. The basic concepts and methods are introduced for typical partial differential equations representing the three classes: parabolic, elliptic, and hyperbolic.

Module Overview

This module provides an introduction to theory of electromagnetic field. It describes Maxwell's equations and their solutions, including electromagnetic wave, such as light, and its propagation in a media.

Module Overview

This module aims to provide students with the experience of working as part of a team on a project.

Students will have the opportunity to produce a set of deliverables relevant to their programme of study. Final deliverables will be negotiated between the group and their supervisor, the module coordinator will be responsible for ensuring that each project covers the learning outcomes of the module. Groups are expected to manage their own processes, and to hold regular meetings both with and without their supervisor. Groups will be allocated by the module coordinator and other members of staff. The process of development of the topic under study and the interaction and management of group members underpins the assessment of skills in the module.

Module Overview

Students have the opportunity to learn how mathematics is applied to modern industrial problems, and how the mathematical apparatus finds applications in the financial sector.

Module Overview

The aim of this module is to introduce students to main notions of theoretical mechanics. Students will have the opportunity to learn relevant mathematical techniques and methods.

Module Overview

Students will have the opportunity to utilise computers for the numerical solution and simulation of models of physical and mathematical systems, including the use of computer procedural programming languages to solve computational problems.

Numerical algorithms will be introduced to exemplify key concepts in computational programming, with the emphasis on understanding the nature of the algorithm and the features and limitations of its computational implementation. In creating programs, the emphasis will be on using effective programming techniques and on efficient debugging, testing and validation methods. Students may also develop skills at using a logbook as a factual record and as reflective self-assessment to support their learning.

Module Overview

The module will cover several advanced topics of modern mathematics. The choice of the topics will be governed by the current research interests of academic staff and/or visiting scientists.

Students will also have the opportunity to participate in mathematics research seminars.

Module Overview

The module will cover several advanced topics of modern physics. The choice of the topics will be governed by the current research interests of academic staff and/or visiting scientists.

Students may also participate in physics research seminars.

Module Overview

This module gives a mathematical foundation of ideal and viscous fluid dynamics and their application to describing various flows in nature and technology.

Students are taught methods of analysing and solving equations of fluid dynamics using analytic and most modern computational tools.

Module Overview

Symmetry, understood in most broad sense as invariants under transformations, permeates all parts of mathematics, as well as natural sciences. Groups are measures of such symmetry and therefore are used throughout mathematics.

Abstract group theory studies the intrinsic structure of groups. The course begins with definitions of subgroups, normal subgroups, and group actions in various guises. Group homomorphisms are introduced and the related isomorphism theorems are proved. Sylow p-subgroups are introduced and the three Sylow theorems are proved. Throughout, symmetry groups are used as examples.

Module Overview

This module is designed to provide students with an insight into the teaching of Mathematics at secondary school level and does this by combining university lectures with an experience of a placement in a secondary school Mathematics department.

The module aims to provide students with an opportunity to engage with cutting-edge maths education research and will examine how this research impacts directly on classroom practice. Students will have the opportunity to gain an insight into some of the key ideas in Mathematics pedagogy and how these are implemented in the school Mathematics lessons and will develop an understanding about the barriers to learning Mathematics that many students experience.

Module Overview

The module aims to equip students with methods to analyse and solve various mathematical equations found in physics and technology.

Module Overview

The module aims to equip students with knowledge of various numerical methods for solving applied mathematics problems, their algorithms and implementation in programming languages.

Module Overview

Using the background knowledge from the previous modules, this module aims to equip students with modern physics understanding of the entire Universe at large - from elementary particles till galaxies and their evolution.

Module Overview

This module is designed to provide students with an insight into the teaching of science at secondary school level and does this by combining university lectures with an experience of a placement in a secondary school science department. The module is particularly aimed at those considering a career in science teaching and provides students with an opportunity to engage with cutting edge science education research and will examine how this research impacts directly on classroom practice.

Students will have the opportunity to gain an insight into some of the key ideas in science pedagogy and how these are implemented in the school science lessons and will develop an understanding about the barriers to learning science that many students experience.

Module Overview

In this module, students conduct research relating to the interface between mathematics and physics. This research can take place in a research group of the school, the university or in an external collaborating establishment.

Module Overview

This module provides a rigorous theoretical foundation of quantum physics. Various methods are introduced and examined via application to a set of quantum phenomena. The module aims to provide the core knowledge for understanding of the whole body of modern physics and the world around us.

Module Overview

The module will introduce the concepts of statistical mechanics at equilibrium. Students will have the opportunity to learn the methods used to describe systems of a large number of particles.

Module Overview

This module introduces tensors, which are abstract objects describing linear relations between vectors, scalars, and other tensors. The module aims to equip students with the knowledge of tensor manipulation, and introduces their applications in modern science.

† Some courses may offer optional modules. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by staff availability.

An Introduction to Your Modules

Module Overview

This module begins with refreshing and expanding some of the material from the A-levels Maths, such as the binomial theorem, division of polynomials, polynomial root-finding, and factorisations. Then the Euclidean algorithm is introduced with some of its many applications, both for integers and for polynomials. This naturally leads to a discussion of divisibility and congruences, for integers and for polynomials, with emphasis on similarities and as a step towards abstraction.

Module Overview

This module focuses on the concepts of the derivative and the Riemann integral, which are indispensable in modern sciences.

Two approaches are used: both intuitive-geometric, and mathematically rigorous, based on the definition of continuous limits. Important results are the Mean Value Theorem, leading to the representation of some functions as power series (the Taylor series), and the Fundamental Theorem of Calculus which establishes the relationship between differentiation and integration. Further calculus tools are explored, such as the general properties of the derivative and the Riemann integral, as well as the techniques of integration. In this module, students may deal with many 'popular' functions used throughout mathematics.

Module Overview

This module presents an introduction to computer packages for analytic formulas manipulation (computer algebra) and technical computing. Students will also have the opportunity to develop skills including; utilising a logbook as a factual record and as reflective self-assessment to support their learning.

Module Overview

This module presents a core understanding of the main subjects of physics. Students have the opportunity to learn basic concepts of electricity, magnetism, thermal and quantum physics. Students also have the opportunity to develop problem solving skills using this material. This module is the cornerstone for a number of subsequent modules.

Module Overview

This module will present an introduction to the fundamentals of waves, geometrical optics and mechanics, including their mathematical foundations.

Module Overview

This module describes vector spaces and matrices. Matrices are regarded as representations of linear mappings between vector spaces. Eigenvalues and eigenvectors are introduced, which lead to diagonalisation and reduction to other canonical forms. Special types of mappings and matrices (orthogonal, symmetric) are also introduced.

Module Overview

This module begins with an introduction of a probability space, which models the possible outcomes of a random experiment. Basic concepts such as statistical independence and conditional probability are introduced, with various practical examples used as illustrations. Random variables are introduced, and certain well-known probability distributions are explored.

Further study includes discrete distributions, independence of random variables, mathematical expectation, random vectors, covariance and correlation, conditional distributions and the law of total expectation. The ideas developed for discrete distributions are applied to continuous distributions.

Probability theory is a basis of mathematical statistics, which has so many important applications in science, industry, government and commerce. Students will have the opportunity to gain a basic understanding of statistics and its tools. It is important that these tools are used correctly when, for example, the full picture of a problem (population) must be inferred from collected data (random sample).

Module Overview

This module provides students the opportunity to learn a variety of transferable skills: to communicate scientific ideas via a variety of media, to work in groups, to manage and plan projects, to keep record of work.

Students have the opportunity to develop an understanding of general and specialized databases, their uses and searches. Group study can develop Students' skills in team-working around investigating a topic from literature. Students have the opportunity to take on administrative roles within the team and work towards common aims and objectives.

Module Overview

The concepts of groups, rings and fields are introduced, as examples of arbitrary algebraic systems. The basic theory of subgroups of a given group and the construction of factor groups is introduced, and then similar constructions are introduced for rings. Examples of rings are considered, including the integers modulo n, the complex numbers and n-by-n matrices. The ring of polynomials over a given field is studied in more detail.

Module Overview

This module describes the basic principles of condensed matter physics, which directly relates to the physics of all materials around us.

Module Overview

Calculus techniques already provide solutions of simple first-order differential equations. Solution of second-order differential equations can sometimes be achieved by certain manipulations. Students may learn about existence and geometric interpretations of solutions, even when calculus techniques do not yield solutions in a simple form. This is a part of the existence theory of ordinary differential equations and leads to fundamental techniques of the asymptotic and qualitative study of their solutions, including the important question of stability. Fourier series and Fourier transform are introduced.

This module provides an introduction to the classical second-order linear partial differential equations and techniques for their solution. The basic concepts and methods are introduced for typical partial differential equations representing the three classes: parabolic, elliptic, and hyperbolic.

Module Overview

This module provides an introduction to theory of electromagnetic field. It describes Maxwell's equations and their solutions, including electromagnetic wave, such as light, and its propagation in a media.

Module Overview

This module aims to provide students with the experience of working as part of a team on a project.

Students will have the opportunity to produce a set of deliverables relevant to their programme of study. Final deliverables will be negotiated between the group and their supervisor, the module coordinator will be responsible for ensuring that each project covers the learning outcomes of the module. Groups are expected to manage their own processes, and to hold regular meetings both with and without their supervisor. Groups will be allocated by the module coordinator and other members of staff. The process of development of the topic under study and the interaction and management of group members underpins the assessment of skills in the module.

Module Overview

Students have the opportunity to learn how mathematics is applied to modern industrial problems, and how the mathematical apparatus finds applications in the financial sector.

Module Overview

The aim of this module is to introduce students to main notions of theoretical mechanics. Students will have the opportunity to learn relevant mathematical techniques and methods.

Module Overview

Students will have the opportunity to utilise computers for the numerical solution and simulation of models of physical and mathematical systems, including the use of computer procedural programming languages to solve computational problems.

Numerical algorithms will be introduced to exemplify key concepts in computational programming, with the emphasis on understanding the nature of the algorithm and the features and limitations of its computational implementation. In creating programs, the emphasis will be on using effective programming techniques and on efficient debugging, testing and validation methods. Students may also develop skills at using a logbook as a factual record and as reflective self-assessment to support their learning.

Module Overview

The module will cover several advanced topics of modern mathematics. The choice of the topics will be governed by the current research interests of academic staff and/or visiting scientists.

Students will also have the opportunity to participate in mathematics research seminars.

Module Overview

The module will cover several advanced topics of modern physics. The choice of the topics will be governed by the current research interests of academic staff and/or visiting scientists.

Students may also participate in physics research seminars.

Module Overview

This module gives a mathematical foundation of ideal and viscous fluid dynamics and their application to describing various flows in nature and technology.

Students are taught methods of analysing and solving equations of fluid dynamics using analytic and most modern computational tools.

Module Overview

Symmetry, understood in most broad sense as invariants under transformations, permeates all parts of mathematics, as well as natural sciences. Groups are measures of such symmetry and therefore are used throughout mathematics.

Abstract group theory studies the intrinsic structure of groups. The course begins with definitions of subgroups, normal subgroups, and group actions in various guises. Group homomorphisms are introduced and the related isomorphism theorems are proved. Sylow p-subgroups are introduced and the three Sylow theorems are proved. Throughout, symmetry groups are used as examples.

Module Overview

This module is designed to provide students with an insight into the teaching of Mathematics at secondary school level and does this by combining university lectures with an experience of a placement in a secondary school Mathematics department.

The module aims to provide students with an opportunity to engage with cutting-edge maths education research and will examine how this research impacts directly on classroom practice. Students will have the opportunity to gain an insight into some of the key ideas in Mathematics pedagogy and how these are implemented in the school Mathematics lessons and will develop an understanding about the barriers to learning Mathematics that many students experience.

Module Overview

The module aims to equip students with methods to analyse and solve various mathematical equations found in physics and technology.

Module Overview

The module aims to equip students with knowledge of various numerical methods for solving applied mathematics problems, their algorithms and implementation in programming languages.

Module Overview

Using the background knowledge from the previous modules, this module aims to equip students with modern physics understanding of the entire Universe at large - from elementary particles till galaxies and their evolution.

Module Overview

This module is designed to provide students with an insight into the teaching of science at secondary school level and does this by combining university lectures with an experience of a placement in a secondary school science department. The module is particularly aimed at those considering a career in science teaching and provides students with an opportunity to engage with cutting edge science education research and will examine how this research impacts directly on classroom practice.

Students will have the opportunity to gain an insight into some of the key ideas in science pedagogy and how these are implemented in the school science lessons and will develop an understanding about the barriers to learning science that many students experience.

Module Overview

In this module, students conduct research relating to the interface between mathematics and physics. This research can take place in a research group of the school, the university or in an external collaborating establishment.

Module Overview

This module provides a rigorous theoretical foundation of quantum physics. Various methods are introduced and examined via application to a set of quantum phenomena. The module aims to provide the core knowledge for understanding of the whole body of modern physics and the world around us.

Module Overview

The module will introduce the concepts of statistical mechanics at equilibrium. Students will have the opportunity to learn the methods used to describe systems of a large number of particles.

Module Overview

This module introduces tensors, which are abstract objects describing linear relations between vectors, scalars, and other tensors. The module aims to equip students with the knowledge of tensor manipulation, and introduces their applications in modern science.

† Some courses may offer optional modules. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by staff availability.

How you are assessed

The course is assessed through a variety of means, including tests, course work, examinations, written reports and oral presentations.

Assessment Feedback

The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to students promptly – usually within 15 working days after the submission date.

Methods of Assessment

The way students are assessed on this course may vary for each module. Examples of assessment methods that are used include coursework, such as written assignments, reports or dissertations; practical exams, such as presentations, performances or observations; and written exams, such as formal examinations or in-class tests. The weighting given to each assessment method may vary across each academic year. The University of Lincoln aims to ensure that staff return in-course assessments to students promptly.

The course is assessed through a variety of means, including tests, course work, examinations, written reports and oral presentations.

Assessment Feedback

The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to students promptly – usually within 15 working days after the submission date.

Methods of Assessment

The way students are assessed on this course may vary for each module. Examples of assessment methods that are used include coursework, such as written assignments, reports or dissertations; practical exams, such as presentations, performances or observations; and written exams, such as formal examinations or in-class tests. The weighting given to each assessment method may vary across each academic year. The University of Lincoln aims to ensure that staff return in-course assessments to students promptly.

Fees and Scholarships

Going to university is a life-changing step and it's important to understand the costs involved and the funding options available before you start. A full breakdown of the fees associated with this programme can be found on our course fees pages.

Course Fees

For eligible undergraduate students going to university for the first time, scholarships and bursaries are available to help cover costs. The University of Lincoln offers a variety of merit-based and subject-specific bursaries and scholarships. For full details and information about eligibility, visit our scholarships and bursaries pages.

Going to university is a life-changing step and it's important to understand the costs involved and the funding options available before you start. A full breakdown of the fees associated with this programme can be found on our course fees pages.

Course Fees

For eligible undergraduate students going to university for the first time, scholarships and bursaries are available to help cover costs. The University of Lincoln offers a variety of merit-based and subject-specific bursaries and scholarships. For full details and information about eligibility, visit our scholarships and bursaries pages.

Entry Requirements 2020-21

United Kingdom

GCE Advanced Levels: BBC, to include a grade B from both A Level Maths and Physics.

Access to Higher Education Diploma: 45 Level 3 credits with a minimum of 112 UCAS Tariff points, including 40 points from 15 credits in Maths and 15 credits in Physics

International Baccalaureate: 29 points overall, with Higher Level Grade 5 in Maths and Physics.

BTEC qualifications may be considered with a grade B in A Level Maths and Physics.
Please contact our Admissions team for further information (admissions@lincoln.ac.uk)

Applicants will also need at least three GCSEs at grade 4 (C) or above, which must include English and Maths. Equivalent Level 2 qualifications may also be considered.

International

Non UK Qualifications:

If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages https://www.lincoln.ac.uk/home/studywithus/internationalstudents/entryrequirementsandyourcountry/ for information on equivalent qualifications.

EU and Overseas students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element. For information regarding other English language qualifications we accept, please visit the English Requirements page https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/englishlanguagerequirements/

If you do not meet the above IELTS requirements, you may be able to take part in one of our Pre-sessional English and Academic Study Skills courses.

For applicants who do not meet our standard entry requirements, our Science Foundation Year can provide an alternative route of entry onto our full degree programmes:
https://www.lincoln.ac.uk/home/course/sfysfyub/lifesciences/

If you would like further information about entry requirements, or would like to discuss whether the qualifications you are currently studying are acceptable, please contact the Admissions team on 01522 886097, or email admissions@lincoln.ac.uk

Entry Requirements 2021-22

United Kingdom

GCE Advanced Levels: BBB, to include a grade B from both A Level Maths and Physics.

Access to Higher Education Diploma: 45 Level 3 credits with a minimum of 120 UCAS Tariff points, including 40 points from 15 credits in Maths and 15 credits in Physics

International Baccalaureate: 30 points overall, with Higher Level Grade 5 in Maths and Physics.

BTEC qualifications may be considered with a grade B in A Level Maths and Physics.
Please contact our Admissions team for further information (admissions@lincoln.ac.uk)

Applicants will also need at least three GCSEs at grade 4 (C) or above, which must include English, Maths and Science. Equivalent Level 2 qualifications may also be considered.

International

Non UK Qualifications:

If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages https://www.lincoln.ac.uk/home/studywithus/internationalstudents/entryrequirementsandyourcountry/ for information on equivalent qualifications.

EU and Overseas students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element. For information regarding other English language qualifications we accept, please visit the English Requirements page https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/englishlanguagerequirements/

If you do not meet the above IELTS requirements, you may be able to take part in one of our Pre-sessional English and Academic Study Skills courses.

For applicants who do not meet our standard entry requirements, our Science Foundation Year can provide an alternative route of entry onto our full degree programmes:
https://www.lincoln.ac.uk/home/course/sfysfyub/lifesciences/

If you would like further information about entry requirements, or would like to discuss whether the qualifications you are currently studying are acceptable, please contact the Admissions team on 01522 886097, or email admissions@lincoln.ac.uk

Accreditations and Memberships

This programme currently meets the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency for taught Master's degrees. Accreditation expires during the 2020/2021 academic year. The University intends to renew the accreditation so that it is valid for students commencing their studies in September 2021. This programme is also recognised by the Institute of Physics.

Features

Research Informed

Teaching on this course is conducted by academic members of staff who are active researchers in their fields. This research informs teaching at all levels of the programme. Staff conduct cutting-edge research in fundamental and applied mathematics and physics, ranging from pure mathematics to applied nano-science at the interface between biology, chemistry, physics, and mathematics. The School collaborates with top research institutions in Germany, Japan, Norway, the Netherlands, Singapore, Spain, and the USA.

Visiting Speakers

The School of Mathematics and Physics regularly welcomes guest speakers from around the world. Recent visitors to the University of Lincoln have included former vice president of the Royal Astronomical Society Professor Don Kurtz, mathematician and author Professor Marcus du Sautoy OBE, and operations research specialist Ruth Kaufman OBE.

Placements

Students on this course are encouraged to obtain and undertake work placements independently in the UK or overseas during their studies, providing hands-on experience in industry. These can range from a few weeks to a full year if students choose the sandwich year option. Placements may be conducted with external research institutions (which can be overseas). The option is subject to availability and selection criteria set by the industry or external institution. When undertaking optional placements, students will be required to cover their transport, accommodation, and general living costs.

Career Opportunities

Graduates may choose to use their problem-solving and analytical skills to develop careers in areas such as research, IT, science, education, consultancy, finance, business, and industry in the UK and overseas. Some may go on to undertake further study at postgraduate level. Additionally, transferable skills such as communications, problem-solving, and decision-making, which students are expected to develop throughout their studies, are valuable in many spheres of employment.

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Visiting a university is an important step in deciding where and what to study. Visit us to find out more about our courses, facilities, and the student experience at Lincoln.

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Related Courses

The University intends to provide its courses as outlined in these pages, although the University may make changes in accordance with the Student Admissions Terms and Conditions.
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