- UCAS Code: G1XC
- Start date: Sep 2020
Accreditation: Institute of Mathematics and its Applications & General Teaching Council for Scotland
High Flyer Programme: qualified applicants can complete course in 3 years
Industry experience: school placements
Study with us
- Combine an Institute of Mathematics and its Applications accredited course with the education theory and classroom experience required for recognition by the General Teaching Council for Scotland
- Benefit from a professional teaching qualification which is recognised across the UK and overseas
- Take part in secondary school placements
- Qualify to enter the paid probationary year as a teacher of mathematics in Scottish secondary schools
- Benefit from the flexibility to transfer between courses
Why this course?
This joint Honours degree covers the curriculum of the BSc Honours Mathematics degree, plus the education theory and classroom experience required for recognition by the General Teaching Council for Scotland.
In four years, you’ll gain a joint Honours degree along with a professional teaching qualification and will be qualified to enter the probationary year as a teacher of mathematics in Scottish secondary schools.
Students on the BSc (Honours) in Mathematics course for the first two years can transfer to the Mathematics with Teaching course guaranteed (subject to progress requirements) for the start of 3rd year.
What you'll study
Years 1 & 2
You’ll follow the same curriculum as the BSc (Honours) in Mathematics; you study core mathematical methods and classes in calculus, geometry, applied analysis, mechanics, analysis, and probability and statistics.
Will be devoted to studying a mixture of level 3 and level 4 Mathematics and Statistics classes.
Will be devoted to classes in education theory and school experience.
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.
You'll spend parts of the course on placement in a school within Scotland, working throughout the full working day, attending school on staff in-service days and being continually assessed while there.
Accredited by the Institute of Mathematics and its Applications for the purpose of meeting in full the educational requirement for chartered status.
Accredited by the General Teaching Council for Scotland.
We're a 5-star
Learning & teaching
The following teaching methods are used in Mathematics & Statistics: lectures (using a variety of media including electronic presentations and computer demonstrations), tutorials, coursework and projects.
You’ll also learn through structured group work in problem-solving and collaborative student presentations.
On completion of the programme, you’ll be able to:
- demonstrate knowledge in the main areas of mathematics and the initial teacher education
- show an understanding of the principal mathematical and educational theories and a critical understanding of one or more specialised areas
- demonstrate skills in calculation
- 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
In mathematics & statistics, knowledge, understanding, and subject-specific skills are assessed by coursework, assignment, reports, presentations and written examinations.
The education element of the course includes practical time observing and teaching in school classrooms.
The highlight of my time at Strathclyde is probably meeting new people and making new friendships at uni and also building relationships with the staff and pupils on placement.
BSc Mathematics with Teaching
Please note that not all of these compulsory classes will be available each year.
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 with Applications
This class will introduce you to vectors and matrices, along with the idea of mathematical modelling through their application to real-world problems.
Statistics & Data Presentation
Some basic ideas and techniques of statistics will be presented while introducing some essential study skills, allowing you to develop and practice personal and technical skills eg self-study, teamwork, analysing data, writing reports and making presentations.
Applying Mathematics 1
To introduce students to some elementary number theory with interesting modern applications. Codes and encryption: problem description and motivation. Mathematical background: natural numbers and integers, factorisation, proof by induction, highest common factor, lowest common multiple, Euclidean Algorithm, prime numbers and the Fundamental Theorem of Arithmetic, Diophantine equations, modular arithmetic, congruence mod n, solving equations in Zn, Euler's phi-function and theorem. Applications to International Standard Book Numbers, Universal Product Codes, affine and exponential ciphers, and the RSA cryptosystem.
Applying Mathematics 2
To introduce students to areas of mathematics (graph theory) not usually met in school or college courses. Graph theory: Problem description and motivation (e.g. Konigsberg Bridge, three utilities problem, the travelling salesman problem). Graphs, multigraphs, isomorphic graphs, sub-graphs, paths, trails, circuits and cycles, Eulerian and Hamiltonian graphs, weighted graphs, minimal spanning trees, critical path analysis, planar graphs, Euler’s formula, Colouring of Graphs, Digraphs, Network Flows, and Social Network Analysis. Brief introduction to network science.
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.
This class will give a rigorous treatment of convergence of sequences and infinite series of real numbers and of continuity, differentiability and integrability of functions of a real variable, and will illustrate the importance of these concepts in the analysis of problems arising in applications.
Probability & Statistical Inference
Presentation of the basic concepts of probability theory and statistical inference will be covered to provide you with the tools to appropriately analyse a given data set and effectively communicate the results of such analysis.
Introduction to Newtonian Mechanics
This class will develop your appreciation of the basic concepts of force, momentum and energy, and of Newton’s laws of motion and will equip you to apply these concepts to model physical systems, in particular the orbital motion of bodies.
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.
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.
Inference & Regression Modelling
This class will:
- review the concepts of probability distributions and how to work with these
- present approaches to parameter estimation, focusing on maximum likelihood estimation, bootstrap estimation, and properties of estimators
- present hypothesis testing procedures, including classical likelihood ratio tests and computer-based methods for testing parameter values, and goodness-of-fit tests.
- introduce and provide understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures
- present use of R functions for regression and interpretation of R output
Here we'll introduce basic algebraic structures, with particular emphasis on those pertaining to finite dimensional linear spaces and deepen your understanding of linear mappings. We'll also provide an introduction to inner product spaces and bilinear forms.
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
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.
Educational Studies: Professional Values
Professional Learning Through Enquiry
Professional Skills: Professional Practice
Professional Skills: Curriculum and Pedagogy Mathematics 1
Required subjects are shown in brackets.
Standard entry requirements:
Year 1 entry: AABB/ABBBC
(Maths A, English C, Advanced Higher Maths recommended)
Minimum entry requirements*:
(Maths A, English C)
Year 2 entry: AB
(Maths A, Higher English C)
Year 1 entry: ABB-BBB
(Maths B; GCSE English Language 4/C and Literature 4/C)
Year 2 entry: AAA-ABB
(Maths A, GCSE English Language 4/C and Literature 4/C)
(Maths HL6, English SL6)
Year 1 entry: relevant HNC with strong mathematical content, B in Graded Unit
Membership of the Protecting Vulnerable Groups Scheme required.
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.
|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.
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.
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.
Find out what some of our students think about studying in Glasgow!Find out all about life in Glasgow
Graduates from this course will follow with the paid probationary year in teaching. This leads to employment opportunities within a variety of local authorities as a secondary school teacher.
How much will I earn?
The starting annual salary for a probationer teacher in Scotland is £21,867. After your probationary year, your salary will increase to £26,235 and increase an increment each year up to £34,887. A principal teacher can earn up to £49,086 while a headteacher can earn from £43,137 to £84,201.
If you teach in a remote school or on certain islands you may get an additional allowance: £1,928 for a distance island and £1,320 or £2,475 for a remote school.
Visit Teach Scotland website for more information.
Have you considered?
We've a range of Mathematics courses similar to this one which may also be of interest.