- UCAS Code: GF13
- Start date: Sep 2020
Accreditation: Institute of Physics
High Flyer Programme: qualified applicants can complete course in 3 years
Part-time study: available
Study with us
- learn how to combine maths and physics to help identify and find solutions to important problems in the world
- develop knowledge of mathematical analysis, mechanics, waves and optics, electromagnetism, quantum physics and numerical analysis
- accredited by the Institute of Physics
- benefit from flexibility to transfer between courses
- opportunity to study abroad. Option to undertake final-year project in either subject
Why this course?
Mathematics is everywhere: weather forecasting, cash machines, secure websites, electronic games, liquid crystal displays and statistical data analysis.
Physics is used to help us answer some of the important questions which arise in the world around us. Once we understand the processes involved in these problems, we need to translate our ideas into mathematics to find the solutions.
Our flexible degree structure enables transfer between courses with the opportunity to study abroad.
We're a 5-star
What you’ll study
This is a four-year joint Honours programme. Each year contains compulsory classes and some years contain either optional classes which relate to different areas of mathematics and physics and/or elective classes from other subject areas in the University.
Years 1 & 2
You’ll take basic classes in both disciplines. In addition to the study of core mathematical methods, you’ll learn calculus, geometry, applied analysis, mechanics, numerical analysis and probability and statistics. Physics classes cover mechanics, waves and optics, electromagnetism and quantum physics, together with experimental physics.
In Years 3 & 4
You’ll choose from the wide range of Mathematics & Physics classes available. It is possible to focus on an area in computational physics, or lasers and optics, or theoretical physics, such as quantum theory, while still developing mathematical skills. Your final-year project may be undertaken in either subject.
You’ll have access to well-equipped, modern computing laboratories and teaching rooms, as well as 24-hour access to an advanced computer information network and a sophisticated virtual e-learning environment. We have also an undergraduate common room which gives you a modern and flexible area that's used for individual and group study work and is also a relaxing social space.
High Flyer Programme
Well-qualified applicants with appropriate A Levels and Advanced Highers will be admitted to the Faculty of Science prestigious 'High Flyer' Programme, which allows students to complete an Honours degree in three years and an Integrated Masters degree in four. If you are studying the relevant subjects you may receive a dual offer, specifying grades to direct entry to Year 2 as a High Flyer and also standard Year 1 entry.
Find out more about our High Flyer Programme.
Accredited by the Institute of Physics for the purpose of partially meeting the educational requirement for Chartered Physicist.
Introduction to Calculus
Applications of Calculus
The fundamental concepts of calculus (differentiation and integration) presented in Applications of Calculus will be examined in more detail, extended to a larger class of functions by means of more sophisticated methods, including an introduction to complex numbers and variables, all demonstrated in application to practical problems including solving basic first and second-order differential equations.
Geometry & Algebra
This class will introduce you to vectors and matrices.
This class will introduce basic ideas and techniques of statistics.
This class is an introduction to working in a laboratory environment. You'll undertake experiments related to the taught components of the first year physics curriculum, learning how to use standard equipment and handle experimental uncertainties.
Mechanics & Waves
This class will provide you with an understanding of motion of simple mechanical systems, gravitation and simple harmonic motion. You'll also learn about the fundamentals of wave propagation and the superposition of waves as well simple optical phenomena such as diffraction.
Quantum Physics & Electromagnetism
Linear Algebra & Differential Equations
This class will introduce you to the basic ideas of linear algebra, such as matrices and determinants, vector spaces, bases, eigenvalues and eigenvectors. You'll study various standard methods for solving ordinary differential equations and understand their relevance.
Basic ideas, techniques and results for calculus of two and three variables, along with differentiation and integration over curves, surfaces and volumes of both scalar and vector fields will be presented.
Mathematical & Statistical Computing
This class will introduce you to the R computing environment. It'll enable you to use R to import data and perform statistical tests, allow you to understand the concept of an algorithm and what makes a good algorithm and will equip you for implementing simple algorithms in R.
Mechanics & Waves
This class builds on Mechanics and Waves from year 1. You'll be introduced to special relativity, the vector treatment of rotational motion and the behaviour of systems when forced to oscillate. To extend your understanding of wave phenomena you'll be introduced to the wave equation, Fresnel and Fraunhofer diffraction and the operation of lasers.
Quantum Physics & Electromagnetism
This class builds on the material you learned in year 1. you'll be introduced to the probabilistic nature of quantum mechanics and you'll develop a vector model of electromagnetism.
Condensed Matter Physics
Here you'll cover condensed matter physics and be introduced to concepts such as the Fermi surface, superconductors, phonons and other forms of collective excitations.
Gases & Liquids
Complex Variables & Integral Transforms
This class will introduce functions of a complex variable, define concepts such as continuity, differentiability, analyticity, line integration, singular points, etc. It'll examine some important properties of such functions, and consider some applications of them, eg conformal mappings, and the evaluation of real integrals using the Residue Theorem. It'll also introduce you to Fourier and Laplace transform methods for solving linear ordinary differential equations and convolution type integral equations.
We'll introduce you to analytical methods for solving ordinary and partial differential equations so you'll develop an understanding along with technical skills in this area.
Quantum Physics & Electromagnetism
Condensed Matter Physics
Mechanics of Rigid Bodies & Fluids
This class will:
- convey the generalisation of the mechanics of single-particle systems to many-particle systems
- convey the central ideas of a continuum description of material behaviour and to understand relevant constraints
- ground students in the basic principles governing three-dimensional motions of rigid bodies
- convey how the ideas of continuum theory are applied to static and inviscid fluids.
This module will motivate the need for numerical algorithms to approximate the solution of problems that can't be solved with pen and paper. It'll develop your skills in performing detailed analysis of the performance of numerical methods and will continue to develop your skills in the implementation of numerical algorithms using R.
This class will introduce you to the fundamentals of computer programming and the applications of computer programming, using Matlab, to solve physical problems.
You'll choose between a Mathematics & Statistics project and a Physics project.
Communicating Mathematics & Statistics
This class provides you with experience of the skills required to undertake project work, and to communicate the findings in written and oral form using a variety of sources, such as books, journals and the internet.
Optional classes - list A
Modelling & Simulation with Applications to Financial Derivatives
Here you'll get an introduction to ideas in mathematics and statistics that can be used to model real systems, with an emphasis on the valuation of financial derivatives. This module places equal emphasis on deterministic analysis (calculus, differential equations) and stochastic analysis (Brownian motion, birth and death processes). In both cases, in addition to theoretical analysis, appropriate computational algorithms are introduced. The first half of the class introduces general modelling and simulation tools, and the second half focuses on the specific application of valuing financial derivatives, including the celebrated Black-Scholes theory.
Applicable Analysis 3
This class will present the main results in Functional Analysis, give an introduction to linear operators on Banach and Hilbert spaces and study applications to integral and differential equations.
Statistical Modelling & Analysis
This class will provide you with a range of applied statistical techniques that can be used in professional life.
Fluids & Waves
You'll be introduced to the theory of Newtonian fluids and its application to flow problems and the dynamics of waves on water and in other contexts.
Finite Element Methods for Boundary Value Problems & Approximation
You'll be presented with the basic theory and practice of finite element methods and polynomial and piecewise polynomial approximation theory.
Applied Statistics in Society
You'll be introduced to a range of modern statistical methods and practices used in industry, commerce and research, and will develop skills in your application and presentation.
Mathematical Biology & Marine Population Modelling
Here you'll learn the application of mathematical models to a variety of problems in biology, medicine, and ecology. It'll show the application of ordinary differential equations to simple biological and medical problems, the use of mathematical modelling in biochemical reactions, the application of partial differential equations in describing spatial processes such as cancer growth and pattern formation in embryonic development, and the use of delay-differential equations in physiological processes. The marine population modelling element will introduce the use of difference models to represent population processes through applications to fisheries, and the use of coupled ODE system to represent ecosystems. Practical work will include example class case studies that will explore a real-world application of an ecosystem model.
Mathematical Introduction to Networks
This class will demonstrate the central role network theory plays in mathematical modelling. It'll also show the intimate connection between linear algebra and graph theory and how to use this connection to develop a sound theoretical understanding of network theory. Finally, it'll apply this theory as a tool for revealing structure in networks.
Students will learn new statistical methodology and apply it to real data from medical research studies, with an emphasis on the interpretation of the statistical results in the context of the medical problem being investigated. This skill is necessary for the application of statistics to medical data and differs from the traditional, standard interpretation of statistical textbook problems.
Optional classes - list B
Topics in Solid State Physics
Topics in Physics
Topics in Nanoscience
Topics in Photonics
Topics in Computational & Complexity Physics
Topics in Theoretical Physics
Topics in Quantum Physics
Topics in Atomic, Molecular & Nuclear Physics
Topics in Quantum Optics
Students will be introduced to modern experimental and theoretical developments in the field of quantum optics and atom optics. A great emphasis will be put on illustrating the theory by discussing state-of-the art experiments and research papers. Students will gain a solid background in the field of quantum optics, with a specific focus on the subjects listed below. They will understand the key questions in modern research in this area and they will in particular learn to read and understand related research papers.
Learning & teaching
The following teaching methods are used in Mathematics & Physics: lectures (using a variety of media including electronic presentations and computer demonstrations), tutorials, computer laboratories, coursework and projects.
You’ll also learn through structured group work in problem-solving and student presentations.
Physics teaching methods include lectures, tutorials, interactive learning and laboratory work. You’ll also undertake group-based and learning and self-paced project work.
On completion of the programme, you’ll be able to:
- demonstrate knowledge in the main areas of mathematics and physics
- show an understanding of the principal mathematical and educational theories and a critical understanding of one or more specialised areas
- demonstrate skills in identifying relevant physical principles and laws and calculation skills
- develop and evaluate logical arguments, presenting them and their conclusions clearly and accurately
- demonstrate problem-solving skills, for example, abstracting the essentials of problems, formulating them mathematically and finding appropriate solutions
- undertake a critical analysis of data and draw conclusions from the data
- demonstrate a range of general skills, including IT competency
Required subjects are shown in brackets.
Year 1 entry: AABB/ABBBC
(Maths A, Physics B; Advanced Higher Maths and Physics recommended)
(Maths A, Physics B)
Year 2 entry: AB
(Maths A, Physics B)
Minimum entry requirements:
Year 1 entry: BBB
Year 2 entry: ABB
(Maths A, Physics B)
(Maths HL6, Physics HL5)
Year 1 entry: relevant HNC with strong Maths and Physics, B in Graded Unit
Offers are made in accordance with specified entry requirements although admission to undergraduate programmes is considered on a competitive basis and entry requirements stated are normally the minimum level required for entry.
Whilst offers are made primarily on the basis of an applicant meeting or exceeding the stated entry criteria, admission to the University is granted on the basis of merit, and the potential to succeed. As such, a range of information is considered in determining suitability.
In exceptional cases, where an applicant does not meet the competitive entry standard, evidence may be sought in the personal statement or reference to account for performance which was affected by exceptional circumstances, and which in the view of the judgement of the selector would give confidence that the applicant is capable of completing the programme of study successfully.
We want to increase opportunities for people from every background. Strathclyde selects our students based on merit, potential and the ability to benefit from the education we offer. We look for more than just your grades. We consider the circumstances of your education and will make lower offers to certain applicants as a result.
Degree preparation course for international students
We offer international students (non-EU/UK) who do not meet the academic entry requirements for an undergraduate degree at Strathclyde the option of completing an Undergraduate Foundation year programme at the University of Strathclyde International Study Centre.
Upon successful completion, you will be able to progress to this degree course at the University of Strathclyde.
We've a thriving international community with students coming here to study from over 100 countries across the world. Find out all you need to know about studying in Glasgow at Strathclyde and hear from students about their experiences.Visit our international students' section
Fees & funding
All fees quoted are for full-time courses and per academic year unless stated otherwise.
Fees for students domiciled in Scotland and the EU are subject to confirmation in early 2020 by the Scottish Funding Council.
|Rest of UK|
Assuming no change in RUK fees policy over the period, the total amount payable by undergraduate students will be capped. For students commencing study in 2020/21, this is capped at £27,750 (with the exception of the MPharm and integrated Masters programmes), MPharm students pay £9,250 for each of the four years. Students studying on integrated Masters degree programmes pay an additional £9,250 for the Masters year with the exception of those undertaking a full-year industrial placement where a separate placement fee will apply.
Course materials & costs
Class materials (lecture notes and exercise sheets) for the majority of Mathematics & Statistics classes are available free to download. For some classes, students may need access to a textbook. Textbook costs are typically in the £20-60 price range. These prices are dependent on format (e-book, soft or hardback) and whether bought new or second hand.
PVG scheme (Protection of Vulnerable Groups)
Third-year Maths and Teaching students will need to pay for the full price of a PVG membership scheme.
£40 returnable deposit for PRS handsets.
Course materials & costs
At present, the department charges students £5 for lecture notes in PH 151 and PH 152. These notes are supplied by the University printers. Digital copies of notes are published on MyPlace for students to download.
A recommended textbook that comes with an online homework system is priced at £75 and covers both first and second-year material. If students don't wish to buy this text, the department issues the homework in paper copy for students to hand in for marking.
This process is currently under review, as the department are considering moving to an online textbook. This will be priced at £30 and accessed through MyPlace.
The department supplies students with lab books (£1) for recording data through years 1-3. First-year students are supplied with USB keys (£10) for the collection of data. Personal response handsets are also available at lectures.
|University preparation programme fees|
International students can find out more about the costs and payments of studying a university preparation programme at the University of Strathclyde International Study Centre.
Please note: All fees shown are annual and may be subject to an increase each year. Find out more about fees.
How can I fund my studies?
Students from Scotland and the EU
If you're a Scottish or EU student, you may be able to apply to the Student Award Agency Scotland (SAAS) to have your tuition fees paid by the Scottish government. Scottish students may also be eligible for a bursary and loan to help cover living costs while at University.
Students from England, Wales & Northern Ireland
We have a generous package of bursaries on offer for students from England, Northern Ireland and Wales:
You don’t need to make a separate application for these. When your place is confirmed at Strathclyde, we’ll assess your eligibility. Have a look at our scholarship search for any more funding opportunities.
International Students (Non-UK Scholarships, EEA)
We have a number of scholarships available to international students. Take a look at our scholarship search to find out more.
Glasgow is Scotland's biggest & most cosmopolitan city
Our campus is based in the very heart of Glasgow, Scotland's largest city. National Geographic named Glasgow as one of its 'Best of the World' destinations, while Rough Guide readers have voted Glasgow the world’s friendliest city! And Time Out named Glasgow in the top ten best cities in the world - we couldn't agree more!
We're in the city centre, next to the Merchant City, both of which are great locations for sightseeing, shopping and socialising alongside your studies.
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Graduates in Mathematics enter a wide range of employment, from the manufacturing and service industries, the actuarial, accountancy and banking professions, commerce and government, consultancy and education.
Our graduates go on to become investment analysts, numerical analysts, statisticians, actuaries, managers and teachers.
Physics graduates have a range of mathematical and analytical skills which allows them to enter a diverse range of sectors.
Recent graduates have entered engineering, the NHS and education. Many graduates continue to study beyond degree level, studying taught or research-based postgraduate courses.
How much will I earn?
Salary potential depends on the industry you choose to work in. With experience, actuaries can earn more than £60,000, numerical analysts £60,000. Investment analysts can earn up to £100,000 with bonuses.*
*Intended only as a guide.
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