
Mathematics with French MMath
School of Mathematics and Statistics
Modern Languages Teaching Centre
Explore this course:
You are viewing this course for 2024-25 entry. 2023-24 entry is also available.
Key details
- A Levels AAB
Other entry requirements - UCAS code G1R1
- 4 years / Full-time
- September start
- Find out the course fee
- Foreign language study
- Study abroad
Course description

On this course, you’ll spend a year of your degree at one of our partner universities in France, studying mathematics in French. When you’re in Sheffield, you’ll spend two-thirds of your time studying mathematics and the rest of your time developing your French language abilities. You’ll cover the same essential topics as other maths students and, in your final year, complete a major research project.
We have a small but focused number of maths modules in the first year that cover all the essentials you’ll need for the rest of your degree. In your French classes, you’ll develop your language skills, partly through weekly meetings with a native speaker, and complete a project and presentation in French.
In your second year, you’ll continue to develop your French language abilities while you build a powerful toolbox of mathematical techniques that you can apply to increasingly complex problems. Some module options include more project work. This gives you the chance to put your mathematics skills into practice in different contexts and scenarios that you might encounter when you start work after graduation. There is also time dedicated for you to prepare for your year abroad in third year.
When you return to Sheffield for your final year, you’ll have the skills, knowledge and experience to go in lots of different directions in mathematics. We’ll give you lots of optional maths modules that you can choose from and your language classes are designed to bring you close to the level of a native speaker. You’ll also spend a third of your time working on your own maths research project. You’ll choose a topic in an area of mathematics that interests you, and work closely with one of our staff who is an expert in the field. You’ll write up your findings and give a presentation about what you’ve learned.
Modules
A selection of modules are available each year - some examples are below. There may be changes before you start your course. From May of the year of entry, formal programme regulations will be available in our Programme Regulations Finder.
Choose a year to see modules for a level of study:
UCAS code: G1R1
Years: 2022, 2023
Core modules:
- Mathematics Core
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Mathematics Core covers topics which continue school mathematics and which are used throughout the degree programmes: calculus and linear algebra, developing the framework for higher-dimensional generalisation. This material is central to many topics in subsequent courses. At the same time, weekly small-group tutorials with the Personal Tutor aim to develop core skills, such as mathematical literacy and communication, some employability skills and problem-solving skills.
40 credits - Foundations of Pure Mathematics
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The module aims to give an overview of basic constructions in pure mathematics; starting from the integers, we develop some theory of the integers, introducing theorems, proofs, and abstraction. This leads to the idea of axioms and general algebraic structures, with groups treated as a principal example. The process of constructing the real numbers from the rationals is also considered, as a preparation for “analysis”, the branch of mathematics where the properties of sequences of real numbers and functions of real numbers are considered.
20 credits - Probability and Data Science
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Probability theory is branch of mathematics concerned with the study of chance phenomena. Data science involves the handling and analysis of data using a variety of tools: statistical inference, machine learning, and graphical methods. The first part of the module introduces probability theory, providing a foundation for further probability and statistics modules, and for the statistical inference methods taught here. Examples are presented from diverse areas, and case studies involving a variety of real data sets are discussed. Data science tools are implemented using the statistical computing language R.
20 credits - French Advanced 1
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Assuming a good A level in the language or equivalent, this unit aims to provide an initial preparation for a prolonged professional, academic or recreational stay in a country where the language is spoken and introduces the full range of linguistic and cultural skills required to engage in authentic and spontaneous interaction with native speakers (CEF level B2-). Based on 33 hours of small group (15-20) interactive seminars and tutorials predominantly delivered in the foreign language, the unit also comprises 67 hours of monitored private study. https://www.sheffield.ac.uk/mltc/lfa/courses/french/stage_3a
10 credits - French Advanced 2
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Assuming successful completion of the Advanced 1 unit or equivalent, this unit aims to consolidate an initial preparation for a prolonged professional, academic or recreational stay in a country where the language is spoken and introduces the full range of linguistic and cultural skills required to engage in authentic and spontaneous interaction with native speakers (CEF level B2). Based on 36 hours of small group (15-20) interactive seminars and tutorials predominantly delivered in the foreign language, the unit also comprises 64 hours of monitored private study. https://www.sheffield.ac.uk/mltc/lfa/courses/french/stage_3b
10 credits
You'll then take one of these two groups of modules, as determined by the Modern Languages Teaching Centre.
- French-English Tandem Advanced 1
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This unit aims to enable students to develop their spoken proficiency and intercultural awareness in relation to the language they are studying through weekly meetings with a native-speaker partner and to acquire independent language learning skills through regular supervision from a language tutor and the completion of a personal planning and reflexive diary. Partners will reciprocally support each other in achieving their own pre-agreed goals, alternatively acting as learner and teacher, taking responsibility for their own learning and providing constructive opportunities for language practice and feedback to their partner. https://www.sheffield.ac.uk/mltc/lfa/courses/french/tandem
10 credits - French Project Advanced 2
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This unit aims to enable students at an 'Advanced' level of competence in the language to work semi-independently, exploring critically a specialised topic normally related to their main field of study, in order to acquire subject-specific terminology and basic discursive skills in the language, as well as develop sound research skills. Through weekly tutorials, students will be guided and suppported in their completion of a written portfolio (1,500 words) and their preparation of an oral presentation summarizing their research and demonstrating their acquisition of relevant academic and linguistic skills. https://www.sheffield.ac.uk/mltc/lfa/courses/french/project_advanced
10 credits
Or:
- French Project Advanced 1
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This unit aims to enable students at an 'Advanced' level of competence in the language to work semi-independently, exploring critically a specialised topic normally related to their main field of study, in order to acquire subject-specific terminology and basic discursive skills in the language, as well as develop sound research skills. Through weekly tutorials, students will be guided and suppported in their completion of a written portfolio (1,500 words) and their preparation of an oral presentation summarizing their research and demonstrating their acquisition of relevant academic and linguistic skills. https://www.sheffield.ac.uk/mltc/lfa/courses/french/project_advanced
10 credits - French-English Tandem Advanced 2
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This unit aims to enable students to develop their spoken proficiency and intercultural awareness in relation to the language they are studying through weekly meetings with a native-speaker partner and to acquire independent language learning skills through regular supervision from a language tutor and the completion of a personal planning and reflexive diary. Partners will reciprocally support each other in achieving their own pre-agreed goals, alternatively acting as learner and teacher, taking responsibility for their own learning and providing constructive opportunities for language practice and feedback to their partner. https://www.sheffield.ac.uk/mltc/lfa/courses/french/tandem
10 credits
In your second year, you’ll continue to develop your French language abilities while you build a powerful toolbox of mathematical techniques that you can apply to increasingly complex problems. Some module options include more project work. This gives you the chance to put your mathematics skills into practice in different contexts and scenarios that you might encounter when you start work after graduation. There is also time dedicated for you to prepare for your year abroad in third year.
A full list of modules for this year will be available soon.
You will spend your third year studying maths at one of our partner universities in France.
Core modules:
- Study Abroad
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contact convenor for more infortmation
100 credits - French Year Abroad 1
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This unit aims to enable students to heighten their awareness of cultural and linguistic aspects of the country where they are studying, encouraging their social integration and fostering their independent and/or collaborative study in the foreign language. Students will complete a diary in which they will record and reflect upon their linguistic and cultural integration progress over a period of at least 10 weeks. They will also contribute to a blog intended to share language learning advice and practical tips about living in the region and country with other students currently abroad or preparing for a year abroad. https://www.sheffield.ac.uk/mltc/lfa/courses/french/year_abroad
10 credits - French Year Abroad 2
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This unit aims to enable students to heighten their awareness of cultural and linguistic aspects of the country where they are studying, encouraging their social integration and fostering their independent and/or collaborative study in the foreign language. Students will complete a diary in which they will record and reflect upon their linguistic and cultural integration progress over a period of at least 10 weeks. They will also contribute to a blog intended to share language learning advice and practical tips about living in the region and country with other students currently abroad or preparing for a year abroad. https://www.sheffield.ac.uk/mltc/lfa/courses/french/year_abroad
10 credits
Core modules:
- French Proficient 1
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Assuming a solid, two year post-A-level study of the language and, ideally, a prolonged stay in a country where the language is spoken, this unit aims to provide the linguistic and cultural skills required to operate as a near-native speaker in the target country, whether for professional, academic or recreational purposes, and to develop strategies and techniques to become a fully autonomous, life-long learner of the language and culture (CEF level C1+). Based on 33 hours of small group (15-20) interactive seminars almost exclusively delivered in the foreign language, the unit also comprises 67 hours of monitored private study. https://www.sheffield.ac.uk/mltc/lfa/courses/french/stage_5a
10 credits - French Proficient 2
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Assuming successful completion of the Proficient 1 unit or equivalent, this unit aims to perfect the linguistic and cultural skills required to operate as a near-native speaker in the target country, whether for professional, academic or recreational purposes, and to consolidate the strategies and techniques to become a fully autonomous, life-long learner of the language and culture (CEF level C2). Based on 36 hours of small group (15-20) interactive seminars almost exclusively delivered in the foreign language, the unit also comprises 64 hours of monitored private study. https://www.sheffield.ac.uk/mltc/lfa/courses/french/stage_5b
10 credits
Optional modules:
- Undergraduate Ambassadors Scheme in Mathematics
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This module provides an opportunity for Level Three students to gain first hand experience of mathematics education through a mentoring scheme with mathematics teachers in local schools. Typically, each student will work with one class for half a day every week for 11 weeks. The classes will vary from key stage 2 to sixth form. Students will be given a range of responsibilities from classroom assistant to the organisation and teaching of self-originated special projects. Only a limited number of places are available and students will be selected on the basis of their commitment and suitability for working in schools.
20 credits - Operations Research
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Mathematical Programming is the title given to a collection of optimisation algorithms that deal with constrained optimisation problems. Here the problems considered will all involve constraints which are linear, and for which the objective function to be maximised or minimised is also linear. These problems are not continuously differentiable; special algorithms have to be developed. The module considers not only the solution of such problems but also the important area of post-optimality analysis; i.e. given the solution can one answer questions about the effect of small changes in the parameters of the problem (such as values of the cost coefficients)?
10 credits - Topics in Number Theory
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In this module we study intergers, primes and equations. Topics covered include linear and quadratic congruences, Fermat Little Theorem and Euler's Theorem, the RSA cryptosystem, Quadratic Reciprocity, perfect numbers, continued fractions and others.
10 credits - Metric Spaces
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This unit explores ideas of convergence of iterative processes in the more general framework of metric spaces. A metric space is a set with a distance function which is governed by just three simple rules, from which the entire analysis follows. The course follows on from MAS207 'Continuity and Integration', and adapts some of the ideas from that course to the more general setting. The course ends with the Contraction Mapping Theorem, which guarantees the convergence of quite general processes; there are applications to many other areas of mathematics, such as to the solubility of differential equations.
10 credits - Complex Analysis
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It is natural to use complex numbers in algebra, since these are the numbers we need to provide the roots of all polynomials. In fact, it is equally natural to use complex numbers in analysis, and this course introduces the study of complex-valued functions of a complex variable. Complex analysis is a central area of mathematics. It is both widely applicable and very beautiful, with a strong geometrical flavour. This course will consider some of the key theorems in the subject, weaving together complex derivatives and complex line integrals. There will be a strong emphasis on applications. Anyone taking the course will be expected to know the statements of the theorems and be able to use them correctly to solve problems.
10 credits - Generalised Linear Models
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This module introduces the theory and application of generalised linear models. These models can be used to investigate the relationship between some quantity of interest, the "dependent variable", and one or more "explanatory" variables; how the dependent variable changes as the explanatory variables change. The term "generalised" refers to the fact that these models can be used for a wide range of different types of dependent variable ,continuous, discrete, categorical, ordinal etc. The application of these models is demonstrated using the programming language R.
15 credits - Machine Learning
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Machine learning lies at the interface between computer science and statistics. The aims of machine learning are to develop a set of tools for modelling and understanding complex data sets. It is an area developed recently in parallel between statistics and computer science. With the explosion of “Big Data”, statistical machine learning has become important in many fields, such as marketing, finance and business, as well as in science. The module focuses on the problem of training models to learn from training data to classify new examples of data.
15 credits - Medical Statistics
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This module introduces an important application of statistics: medical research, specifically, the design and analysis of clinical trials. For any new drug to be approved by a regulator (such as the Medicines and Healthcare products Regulatory Agency in the UK) for use on patients, the effectiveness of the drug has to be demonstrated in a clinical trial. This module explains how clinical trials are designed and how statistical methods are used to analyse the results, with a particular focus on 'survival' or 'time-to-event' analysis.
15 credits - Sampling Theory and Design of Experiments
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Whereas most statistics modules are concerned with the analysis of data, this module is focussed on the collection of data. In particular, this module considers how to collect data efficiently: how to ensure the quantities of interest can be estimated sufficiently accurately, using the smallest possible sample size. Three settings are considered: sample surveys (for example when conducting an opinion poll), physical experiments, as may be used in industry, and experiments involving predictions from computer models, where there is uncertainty in the computer model prediction.
15 credits - Combinatorics
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Combinatorics is the mathematics of selections and combinations. For example, given a collection of sets, when is it possible to choose a different element from each of them? That simple question leads to Hall's Theorem, a far-reaching result with applications to counting and pairing problems throughout mathematics.
10 credits - Differential Geometry
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What is differential geometry? In short, it is the study of geometric objects using calculus. In this introductory course, the geometric objects of our concern are curves and surfaces. Besides calculating such familiar quantities as lengths, angles and areas, much of our focus is on how to measure the 'curvature' of a geometric object. The story is relatively simple for curves, but naturally becomes more involved for surfaces - and more interesting too.
10 credits - Fields
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A field is set where the familiar operations of arithmetic are possible. It is common, particularly in the study of equations, that a field may need to be extended. This module will study the idea of field extension and the various problems that may arise as a result. Particular use is made of this to answer some of the classical problems of Greek geometry, to ask whether certain geometrical constructions such as angle trisection or squaring the circle are possible.
10 credits - Financial Mathematics
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The discovery of the Capital Asset Pricing Model by William Sharpe in the 1960's and the Black-Scholes option pricing formula a decade later mark the beginning of a very fruitful interaction between mathematics and finance. The latter obtained new powerful analytical tools while the former saw its knowledge applied in new and surprising ways. (A key result used in the derivation of the Black-Scholes formula, Ito's Lemma, was first applied to guide missiles to their targets; hence the title 'rocket science' applied to financial mathematics). This course describes the mathematical ideas behind these developments together with their application in modern finance, and includes a computational project where students further explore some of the ideas of option pricing.
10 credits - Graph Theory
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A graph is a simple mathematical structure consisting of a collection of points, some pairs of which are joined by lines. Their basic nature means that they can be used to illustrate a wide range of situations. The aim of this course is to investigate the mathematics of these structures and to use them in a wide range of applications.
10 credits - Measure and Probability
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The module will give students an additional opportunity to develop skills in modern analysis as well as providing a rigorous foundation for probability theory. In particular it would form a companion course to MAS436 (Functional Analysis) and MAS452 (Stochastic Processes and Finance), the latter of which is fundamentally dependent on measure theoretic ideas.
10 credits - History of Mathematics
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The course aims to introduce the student to the history of mathematics. The topics discussed are Egyptian and Babylonian mathematics, early Greek mathematics, Renaissance mathematics, and the early history of the calculus.
10 credits - Knots and Surfaces
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The course studies knots, links and surfaces in an elementary way. The key mathematical idea is that of an algebraic invariant: the Jones polynomial for knots, and the Euler characteristic for surfaces. These invariants will be used to classify surfaces, and to give a practical way to place a surface in the classification. Various connections with other sciences will be described.
10 credits - Codes and Cryptography
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The word 'code' is used in two different ways. The ISBN code of a book is designed in such a way that simple errors in recording it will not produce the ISBN of a different book. This is an example of an 'error-correcting code' (more accurately, an error-detecting code). On the other hand, we speak of codes which encrypt information - a topic of vital importance to the transmission of sensitive financial information across the internet. These two ideas, here labelled 'Codes' and 'Cryptography', each depend on elegant pure mathematical ideas: codes on linear algebra and cryptography on number theory. This course explores these topics, including the real-life applications and the mathematics behind them.
10 credits - Groups and Symmetry
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Groups arise naturally as collections of symmetries. Examples considered include symmetry groups of Platonic solids. Groups can also act as symmetries of other groups. These actions can be used to prove the Sylow theorems, which give important information about the subgroups of a given finite group, leading to a classification of groups of small order.
10 credits - Game Theory
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The module will give students the opportunity to apply previously acquired mathematical skills to the study of Game Theory and to some of the applications in Economics.
10 credits - Practical and Applied Statistics
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The overall aim of the course is to give students practice in the various stages of dealing with a real problem: objective definition, preliminary examination of data, modelling, analysis, computation, interpretation and communication of results. It could be said that while other courses teach how to do statistics, this teaches how to be a statistician. There will be a series of projects and other exercises directed towards this aim. Projects will be assessed, but other exercises will not.
20 credits - Bayesian Statistics
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This module develops the Bayesian approach to statistical inference. The Bayesian method is fundamentally different in philosophy from conventional frequentist/classical inference and is becoming the approach of choice in many fields of applied statistics. This course will cover both the foundations of Bayesian statistics, including subjective probability, inference, and modern computational tools for practical inference problems, specifically Markov Chain Monte Carlo methods and Gibbs sampling. Applied Bayesian methods will be demonstrated in a series of case studies using the software package R.
10 credits - Applied Probability
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The unit will link probability modelling to Statistics. It will explore a range of models that can be constructed for random phenomena that vary in time or space - the evolution of an animal population, for example, or the number of cancer cases in different regions of the country. It will illustrate how models are built and how they might be applied: how likelihood functions for a model may be derived and used to fit the model to data, and how the result may be used to assess model adequacy. Models examined will build on those studied in MAS275
10 credits - Time Series
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Time series are observations made in time, for which the time aspect is potentially important for understanding and use. The course aims to give an introduction to modern methods of time series analysis and forecasting as applied in economics, engineering and the natural, medical and social sciences. The emphasis will be on practical techniques for data analysis, though appropriate stochastic models for time series will be introduced as necessary to give a firm basis for practical modelling. Appropriate computer packages will be used to implement the methods.
10 credits - Mathematical Biology
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This module provides an introduction to the mathematical modelling of the dynamics of biological populations. The emphasis will be on deterministic models based on systems of differential equations that encode population birth and death rates. Examples will be drawn from a range of different dynamic biological populations, from the species level down to the dynamics of molecular populations within cells. Central to the module will be the dynamic consequences of feedback interactions within the populations. In cases where explicit solutions are not readily obtainable, techniques that give a qualitative picture of the model dynamics (including numerical simulation) will be used.
10 credits
You'll then take one of these two groups of modules, as determined by the Modern Languages Teaching Centre.
- French Project Proficient 1
-
This unit aims to enable students at a 'Proficient' level of competence in the language to engage critically and independently with a highly specialised topic normally closely related to their main field of study in order to acquire expert use of subject-specific terminology and discourse and to consolidate advanced research skills in relation to the language and field of study. Working under regular supervision, students will complete a written portfolio (2,500 - 3,000 words) and prepare a structured oral presentation summarizing authoritatively their research for a specialist audience and demonstrating their acquisition of relevant academic and linguistic skills. https://www.sheffield.ac.uk/mltc/lfa/courses/french/project_proficient
10 credits - French-English Tandem Proficient 2
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Students will be required to work in collaboration with a native-speaker with whom they will communicate in the target language. At the start of the module, students will exercise responsibility for the organisation of their own learning, establish and maintain contact with their partners, negotiate and set objectives; and seek and offer the correction of language errors. They should give proof of effective time-management, sequence sessions logically to demonstrate management of learning and demonstrate use of reviewing and evaluating procedures. They will be required to sign a learning contract and to keep a learner diary in the target language in which they will record progress made, plan their next steps and reflect on their work during the semester. Their progress will be monitored in advisory and counselling sessions with MLT Centre Tutors. https://www.sheffield.ac.uk/mltc/lfa/courses/french/tandem
10 credits
Or:
- French-English Tandem Proficient 1
-
Students will be required to work in collaboration with a native-speaker with whom they will communicate in the target language. At the start of the module, students will exercise responsibility for the organisation of their own learning, establish and maintain contact with their partners, negotiate and set objectives; and seek and offer the correction of language errors. They should give proof of effective time-management, sequence sessions logically to demonstrate management of learning and demonstrate use of reviewing and evaluating procedures. They will be required to sign a learning contract and to keep a learner diary in the target language in which they will record progress made, plan their next steps and reflect on their work during the semester. Their progress will be monitored in advisory and counselling sessions with MLT Centre Tutors. https://www.sheffield.ac.uk/mltc/lfa/courses/french/tandem
10 credits - French Project Proficient 2
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This unit aims to enable students at a 'Proficient' level of competence in the language to engage critically and independently with a highly specialised topic normally closely related to their main field of study in order to acquire expert use of subject-specific terminology and discourse and to consolidate advanced research skills in relation to the language and field of study. Working under regular supervision, students will complete a written portfolio (2,500 - 3,000 words) and prepare a structured oral presentation summarizing authoritatively their research for a specialist audience and demonstrating their acquisition of relevant academic and linguistic skills. https://www.sheffield.ac.uk/mltc/lfa/courses/french/project_proficient
10 credits
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.
Learning and assessment
Learning
You'll learn through lectures, seminars, problems classes, language classes and research projects. Some modules also include programming classes.
Assessment
You will be assessed in a variety of ways, depending on the modules you take. This can include quizzes, examinations, presentations, participation in tutorials, projects, coursework and other written work.
Programme specification
This tells you the aims and learning outcomes of this course and how these will be achieved and assessed.
Entry requirements
With Access Sheffield, you could qualify for additional consideration or an alternative offer - find out if you're eligible.
The A Level entry requirements for this course are:
AAB
including A in Maths and B in French
A Levels + additional qualifications ABB, including A in Maths and B in French + B in a relevant EPQ; ABB, including A in Maths and B in French + B in A Level Further Maths
International Baccalaureate 34, with 6 in Higher Level Maths (Analysis and Approaches) and 5 in Higher Level French
BTEC Extended Diploma DDD in Engineering with Distinctions in all Maths units + an appropriate French language qualification
BTEC Diploma DD + A in A Level Maths + an appropriate French language qualification
Scottish Highers + 2 Advanced Highers AAABB + AB, including A in Maths and B in French
Welsh Baccalaureate + 2 A Levels B + AA in Maths and French
Access to HE Diploma Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 36 at Distinction (to include Maths units) and 9 at Merit + an appropriate French language qualification
Other requirements-
We will give your application additional consideration if you have passed the Sixth Term Examination Paper (STEP) at grade 3 or above or the Test of Mathematics for University Admissions (TMUA) at grade 5 or above
The A Level entry requirements for this course are:
ABB
including A in Maths and B in French
A Levels + additional qualifications ABB, including A in Maths and B in French + B in a relevant EPQ; ABB, including A in Maths and B in French + B in A Level Further Maths
International Baccalaureate 33, with 6 in Higher Level Maths (Analysis and Approaches) and 5 in Higher Level French
BTEC Extended Diploma DDD in Engineering with Distinctions in all Maths units + an appropriate French language qualification
BTEC Diploma DD + A in A Level Maths + an appropriate French language qualification
Scottish Highers + 2 Advanced Highers AABBB + AB, including A in Maths and B in French
Welsh Baccalaureate + 2 A Levels B + AB, including A in Maths and B in French
Access to HE Diploma Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 30 at Distinction (to include Maths units) and 15 at Merit + an appropriate French language qualification
Other requirements-
We will give your application additional consideration if you have passed the Sixth Term Examination Paper (STEP) at grade 3 or above or the Test of Mathematics for University Admissions (TMUA) at grade 5 or above
You must demonstrate that your English is good enough for you to successfully complete your course. For this course we require: GCSE English Language at grade 4/C; IELTS grade of 6.5 with a minimum of 6.0 in each component; or an alternative acceptable English language qualification
Equivalent English language qualifications
Visa and immigration requirements
Other qualifications | UK and EU/international
If you have any questions about entry requirements, please contact the department.
School of Mathematics and Statistics

Staff in the school work on a wide range of topics, from the most abstract research on topics like algebraic geometry and number theory, to the calculations behind animal movements and black holes. They’ll guide you through the key concepts and techniques that every mathematician needs to understand and give you a huge range of optional modules to choose from.
The department is based in the Hicks Building, which has classrooms, lecture theatres, computer rooms and social spaces for our students. It’s right next door to the Students' Union, and just down the road from the 24/7 library facilities at the Information Commons and the Diamond.
School of Mathematics and StatisticsModern Languages Teaching Centre

Your foreign language modules are taught by the Modern Languages Teaching Centre (MLTC). The MLTC offers language courses to undergraduate and postgraduate students, staff and the public.
Including a modern language as part of your degree at Sheffield is a confident step into the wider world and you'll be graduating with skills that are highly valued by employers. You'll learn to communicate fluently in your chosen language and deepen your understanding of the cultural context of the countries where your language is spoken.
All this is achieved in a vibrant environment through dynamic, high-quality and innovative teaching that places you, as a student, at the cutting edge of the discipline.
MLTC students study at the Ella Armitage Building in the heart of our campus.
Modern Languages Teaching CentreWhy choose Sheffield?
The University of Sheffield
A top 100 university
QS World University Rankings 2023
92 per cent of our research is rated as world-leading or internationally excellent
Research Excellence Framework 2021
Top 50 in the most international universities rankings
Times Higher Education World University Rankings 2022
No 1 Students' Union in the UK
Whatuni Student Choice Awards 2022, 2020, 2019, 2018, 2017
A top 10 university targeted by employers
The Graduate Market in 2022, High Fliers report
School of Mathematics and Statistics
Research Excellence Framework 2021
Graduate careers
School of Mathematics and Statistics
There will always be a place for maths graduates in banking, insurance, pensions, and financial districts from the City of London to Wall Street. Big engineering companies still need people who can crunch the numbers to keep planes in the sky and trains running on time too. But the 21st century has also created new career paths for our students.
Smartphones, tablets, social networks and streaming services all use software and algorithms that need mathematical brains behind them. In the age of ‘big data’, everyone from rideshare apps to high street shops is gathering information that maths graduates can organise, analyse and interpret. The same technological advances have created new challenges and opportunities in cybersecurity and cryptography.
If the maths itself is what interests you, a PhD can lead to a career in research. Mathematicians working in universities and research institutes are trying to find rigorous proofs for conjectures that have challenged pure mathematicians for decades, or are doing the calculations behind major experiments, like the ones running on the Large Hadron Collider at CERN.
What if I want to work outside mathematics?
A good class of degree from a top university can take you far, whatever you want to do. We have graduates using their mathematical training in everything from teaching and management to advertising and publishing.
Modern Languages Teaching Centre
Modern languages graduates are sought after in a wide variety of areas. Many go on to careers in international business, marketing and related fields. University graduates work in the European Commission, the diplomatic service, the media and public administration. Others work as translators and interpreters, or opt for careers abroad.
Fees and funding
Fees
Additional costs
The annual fee for your course includes a number of items in addition to your tuition. If an item or activity is classed as a compulsory element for your course, it will normally be included in your tuition fee. There are also other costs which you may need to consider.
Funding your study
Depending on your circumstances, you may qualify for a bursary, scholarship or loan to help fund your study and enhance your learning experience.
Use our Student Funding Calculator to work out what you’re eligible for.
Visit us
University open days
We host five open days each year, usually in June, July, September, October and November. You can talk to staff and students, tour the campus and see inside the accommodation.
Subject tasters
If you’re considering your post-16 options, our interactive subject tasters are for you. There are a wide range of subjects to choose from and you can attend sessions online or on campus.
Offer holder days
If you've received an offer to study with us, we'll invite you to one of our offer holder days, which take place between February and April. These open days have a strong department focus and give you the chance to really explore student life here, even if you've visited us before.
Campus tours
Our weekly guided tours show you what Sheffield has to offer - both on campus and beyond. You can extend your visit with tours of our city, accommodation or sport facilities.
Apply
Contact us
Telephone: +44 114 222 3999
Email: maths.admiss@sheffield.ac.uk
The awarding body for this course is the University of Sheffield.
Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.
Any supervisors and research areas listed are indicative and may change before the start of the course.