Mathematics and Statistics BSc (Hons) with foundation year

Study level: Undergraduate
Someone using a calculator

In today’s competitive world, many types of businesses and organisations are seeking out people who can interpret complex data and explain their findings and the implications simply and effectively. If you like working with numbers, have strong IT skills and enjoy analysing information, a future career as a data analyst or statistician might be right for you.

Course option

Year of entry


CU Coventry (Coventry) and
Coventry University (Coventry)

Study mode



4 years full-time
5 years sandwich

UCAS codes


Start date

September 2024
November 2024

Course overview

Our degree with foundation year could be the stepping stone you need to achieve your goals. The foundation year aims to prepare you for degree-level study and is a great way to build the confidence, skills and knowledge needed to succeed on your degree course.

Foundation year

The course aims to provide you with a solid grounding in mathematical principles and an understanding of the core technology associated with the use and application of computer systems. Professional and academic skills are integrated across all modules, including information finding and handling, problem-solving and the communication of outcomes.


A degree in Mathematics and Statistics could lead to roles in areas such as education to the environment, finance to forensics, sport technology or transportation.

  • This degree combines the study of mathematics and data analysis, helping to prepare you to tackle a huge variety of interesting and engaging problems from business forecasting and simulation to medical statistics and survival analysis.
  • You will aim to develop a range of core graduate skills, much valued by employers, including the ability to think clearly and logically, analyse complicated data sets, solve problems, make recommendations, and communicate technical information in a language everyone can understand.
  • You will have an opportunity for industrial collaboration2. Coventry University has a long tradition of teaching mathematics and statistics with a special emphasis on its applications in practical situations. We have a strong portfolio of previous industrial research collaborations with, for example, the National Energy Laboratory, Calham Centre for Fusion Energy and Alcan.
Hand selecting a user icon in a coloured circle.

Joint Top Modern University for Career Prospects

Guardian University Guide 2021 and 2022

Five stars in a speech bubble.

5 QS Stars for Teaching and Facilities

QS Stars University Ratings

City buildings next to a tree.

Top 10 UK Student City (Coventry)

QS Best Student Cities Index 2024

Why you should study this course

Foundation year

  • Supports you to gain the academic skills required for degree-level study.
  • Provides a grounding in key areas of mathematics and computing.


  • You will be taught by a teaching team which includes active world-renowned researchers in applied mathematics with expertise in complex systems and fluid dynamics, who share their cutting edge research expertise through teaching and supervising projects. (Staff may be subject to change).
  • The teaching team is passionate about and uniquely oriented towards success and wellbeing of their students.
  • You’ll have access to our computing facilities, which enable you to gain experience using mathematical software packages, like R, python, and MATLAB®4.
  • You’ll also receive tailored one-to-one assistance from sigma4, the university’s Centre for Excellence in Mathematics and Statistics Support.
  • You will be encouraged and supported to adopt an international perspective with opportunities to conduct Collaborative Online International Learning (COIL) activities with students from around the world, participate in field trips overseas or spend a year studying abroad in Europe, America or Australia2.

Accreditation and professional recognition

Accreditation for the degree is being renewed as we are making some changes to our modules1.

What you'll study

This course has a common first year.

In the first year, the curriculum is shared across related courses allowing you to gain a broad grounding in the discipline before going on, in the second and third years, to specialist modules in your chosen field.

We want your degree to fit around you, so upon successful completion of your first year, you could swap degrees with another course in your common first year (subject to meeting progression requirements).

Common first-year courses:

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


  • This module provides core calculus for those undertaking degrees in the mathematics area. The primary aims of the module are to consolidate the material covered in the different A levels and equivalent qualifications, and explore some of the advanced concepts needed for an extensive study of mathematics required for the study at level 5 modules.


  • The aim of the module is two-fold. First, to introduce you to modern algebra by taking what you have learned at high school and placing it in the context of university mathematics. Emphasis will be given to the importance of assumption and proof in mathematics. Second, you will encounter one of the fundamental pillars of modern mathematics - linear algebra. You will see the key result of the basis theorem, as well as explore the one-to-one correspondence between linear maps and matrices over a field. This will be key for other areas of mathematics you will see in your undergraduate degree.


  • In order to explore mathematics in a practical way, we often have to rely on computational simulations. This module will guide you through the fundamentals of coding - from structure and syntax to algorithms and functional decomposition - to prepare you to construct your own mathematical software solutions.


  • This module builds a foundation for the study of statistics in future years. It will introduce you to the concepts of probability, random variables and probability distributions. It will also introduce the concepts of estimation and hypothesis testing, and will develop the necessary theory, methods and concepts for statistical analysis of data.


  • The aim of this module is to introduce Newtonian mechanics and its use, as well as various mathematical modelling tools, with the accent on computational tools, to describe real-world situations. This module will make use of computer software, or/and programming language to help in the visualization and resolution of typical problems. Along with Newtonian mechanics, the module will introduce foundational numerical methods, useful in a variety of practical situations, such as Numerical integration, Matrix Methods for solving systems of linear equations, iterative methods for solving equations, finite differences, Euler-based methods for integration of Newton's 2nd Law problems.


  • The module consists of a series of problem-solving challenges on mathematics; statistics and physics in order to build up your course identity among fellow students. Students from a course will be encouraged to take projects from the corresponding area. Projects are about coming up with creative mathematical models to solve mathematical or physics challenges, developing problem-solving, critical thinking, teamwork, as well as presentation skills.


In the second year you will develop the mathematics and statistics which you started in year one concentrating further on a core of theoretical and applicable mathematics, from linear algebra and further calculus, through ordinary and partial differential equations to real analysis and a block of bespoke modules on statistics.


  • This module will build on the earlier module, Calculus. We will extend the ideas from year one to dealing with both scalar fields and vector fields, the concepts with wide applications spanning from theory of fluids through meteorology to traffic control, as well as to functions of complex variables that allow for a very elegant and succinct solution of many classical problems of calculus.


  • This module continues linear algebra and differential equations from the first year with the overlap between the areas emphasised. In both cases, the general goal will be to explore ways in which one can find a ‘suitable basis’ for a given problem. This could include orthonormal bases, bases of eigenvectors or bases of generalised eigenvectors. It will conclude with Singular Value Decomposition which will bring together bits of linear algebra seen over the first two years. The module will also cover second order ODEs (linear, but with non-constant coefficients), systems of first order ODEs, series solutions and self-adjoint operators.


  • This module aims to demonstrate the importance and wide utility of statistical programming. You will develop skills and confidence in writing codes to manipulate and analysis data. The module will be taught through demonstrations and hands-on workshops. You will explore a variety of data sets to practice data entry and manipulation, creation of charts and tables, exploratory data analysis and further statistical analyses.


  • The module acts as an introduction to the vast fields of Partial Differential Equations (PDEs) and Analytical Mechanics. You will be introduced to standard techniques to solve a range of PDEs. The module also provides key elements relating to variational calculus and focuses on Lagrangian and Hamiltonian formalisms for Analytical Mechanics, which are naturally formulated via PDEs.


  • By starting with only the basic properties of real numbers, a rigorous approach will be pursued whereby the main results in elementary differential calculus are proven. This will include the fundamental epsilon-delta definition. You will explore sequences, series, continuity and differentiability of functions. This will further look to develop your powers of logical thinking and expand upon the notion of formal definition and rigorous proof seen in first-year algebra. This is a key aspect of modern mathematics and one which takes time and practice to succeed at. In doing so, you will improve your understanding of calculus and become more comfortable in formal proof.


  • This module will introduce two of the most commonly used statistical techniques, multiple regression and analysis of variance (ANOVA). The statistical inference concepts of hypothesis testing and estimation will be extended within the statistical modelling framework. Statistical computing environments and packages will be used throughout. The methods taught are used extensively in industry, commerce, government, research and development. This module is particularly relevant for those intending to go on placement year2, for graduate jobs, and for final year statistics projects.


There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement2 can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future.

If you choose to do a work placement year, you will pay a reduced tuition fee3 of £1,250. For more information, please go to the fees and funding section. During this time, you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement.


  • This module2 provides you with an opportunity to reflect upon and gain experience for an approved placement undertaken during your programme. A placement should usually be at least 26 weeks or equivalent; however, each placement will be considered on its own merits, having regard to the ability to achieve the learning outcomes.


  • This module2 provides you with an opportunity to reflect upon and gain experience for an approved international study/work placement undertaken during your programme. A work/study placement should usually be at least 26 weeks or equivalent; however, each placement will be considered on its own merits, having regard to the ability to achieve the learning outcomes.


Year three aims to bring you to the level to enter the world of work by consolidating your knowledge and skills from year one and two. You will develop more advanced knowledge and skills to do with: number theory and cryptography, statistical methods, and financial mathematics, amongst others.


  • The module will present to you a foundational treatment of number theory, covering many important practical results such as the Chinese Remainder Theorem and Hensel’s Lemma. You will gain experience performing calculations in modular arithmetic and build on your ability to write rigorous proofs from the second year modules such as Real Analysis. The pure concepts from number theory will then be directly applied to modern problems of cryptography. You will see how these ideas are put into practice, for example in the RSA cryptosystem.


  • This module builds on the regression techniques introduced in previous years. You will consider Generalised Linear Models, principal components analysis, cluster analysis and graphical Bayesian networks. The module will be set within a range of real-world contexts.


  • This module represents an introduction to the wide field of machine learning. It will present you with fundamental concepts related to supervised and unsupervised learning methods, for example, linear regression, support vector machines, logistic regression, k nearest neighbour, neural networks, k means and hierarchical clustering techniques. By undertaking the module, you will gain understanding of the concepts behind these methods and be able to analyse the outcomes of applying various machine learning algorithms on a set of data, together with techniques of processing such data and tuning machine learning models.


  • This module introduces you to several important topics in the areas of advanced statistics. This module is useful if you are interested in a Statistics postgraduate study or in careers involving Statistics or Data Science.


  • This module forms a major individual study at the honours level in areas related to statistics or applied mathematics. You will take the responsibility of managing such a study through all its stages. The project will build upon your knowledge and skills developed in previous years. It will further develop your skills of enquiry, research and innovation and will enhance your critical and communication skills.


  • Plus one of two optional modules:

    Financial Mathematics - 20 credits

    The module serves two goals. First, the module introduces you to the main instruments that are traded in the financial markets including their practical uses for investment, hedging and speculation. Second, it equips you with an understanding of mathematical models and solution techniques that are currently used in financial engineering. Practical calculations with financial data illustrate the theory.

    Artificial Neural Networks - 20 credits

    Artificial neural networks represent an important and popular machine learning approach that attempt to model how the human brain works. Neural networks have been successfully used in a wide range of applications including image processing, speech and natural language processing, medical diagnosis, bioinformatics and computational biology, emotion recognition, robotics, control. In this module you will look into the concepts used in neural networks and their application to solving real-world problems.


The foundation year offers an introduction to your chosen subject and supports you to develop the skills required for degree-level study.


  • This module aims to provide you with the fundamental mathematical knowledge and skills required to solve relevant problems while developing analytical and problem-solving skills. You should also be equipped to turn real-world problems into mathematical problems and present mathematical and logical arguments. Concepts covered include basic algebraic properties, trigonometry, computation of areas and volumes of basic shapes, and an introduction to Calculus including computation of limits derivatives and integrals. Upon successful completion of the module, you will have an awareness of many of the mathematical techniques required to tackle everyday problems in related disciplines.


  • This module aims to provide you with the fundamental mathematical knowledge and skills required to solve relevant problems while developing analytical and problem-solving skills. You should also be equipped to turn real-world problems into mathematical problems and present mathematical and logical arguments. Concepts covered include computation of areas and volumes of basic shapes, complex numbers, application of matrices and determinants, application of vectors, application of differentiation and integration, and use of computer software to solve a scientific problem. Upon successful completion of the module, you will have an awareness of many of the mathematical techniques required to tackle everyday problems in related disciplines.


  • This module aims to provide you with an understanding of fundamental software engineering and data storage concepts. Upon successful completion of the module you will leave with experience of working with interconnected software systems and sufficient knowledge of databases and a programming language. During the module assessment you will be required to create an application to meet a specified brief, as a result you will develop skills in requirements elicitation, documentation, and software and database design. You will also be assessed on your ability to read and understand code and recall programming principles from your body of knowledge.


  • In this module, you will learn about the key concepts and techniques in data visualisation and understand the importance of data visualisation as a vital instrument in many disciplines. This module should enable you to graphically represent data in an easily understood format which can be effective in helping to make informed, data-driven, decisions. You will use a range of state-of-the-art data visualisation tools and technologies to communicate information both efficiently and effectively. Upon successful completion of the module you should have the knowledge and skills required to implement data visualization processes on a given dataset to better understand trends, outliers, and patterns within datasets and to solve real-world problems. You should then be able to interpret and evaluate the results effectively.


We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.

How you'll learn

Throughout the course, great emphasis is placed on practical skills development; some of your time being spent on computer laboratory sessions, which may involve the use of mathematical software to solve mathematical problems. We also run example classes where possible, covering things like going over solutions to exercises.

Our teaching methods are varied, offering a number of teaching styles to suit the needs of all our students, so in addition to lectures, we also use tutorials, online support/learning, workshops and group work.

Progression through the modules develops knowledge and skills, including communication (written and oral), study skills, research methods, programming, data management, presentation and career development. We will also encourage you to consider your employability and/or entrepreneurial development.

Teaching contact hours

The number of full-time contact hours may vary from block to block, however, on average, it is likely to be around 20 contact hours per week. The contact hours may be made up of a combination of face-to-face teaching, individual and group tutorials, laboratory practicals4 and online support sessions/classes.

Additionally, you will be expected to undertake significant self-directed study of approximately 30 hours each week, depending on the demands of individual modules.


This course will be assessed using a limited variety of methods to allow you to focus on what you are assessed on, not how. Assessment methods will consist of either a portfolio artefact with supportive report or a time-constrained phase test. Assessment takes place at a single stage at the end of each module.

You will have opportunities to work with staff on real-world problems from industry, commerce, and research groups, as you would in professional practice. This means that you may develop professional skills at the same time as you learn the technical content of your degree. In the past, projects have included forecasting wine sales and undertaking credit risk modelling.

We will encourage you to attend employer presentations organised by the University and we run our own sessions (subject to availability), which have previously covered government research and included some of our past students talking about their job roles and careers2.

Teaching contact hours

We understand that everyone learns differently, so each of our courses will consist of structured teaching sessions, which can include:

  • On campus lectures, seminars and workshops
  • Group work
  • Self-directed learning
  • Work placement opportunities2.

The number of full-time contact hours may vary from semester to semester, however, on average, it is likely to be around 12 contact hours per week. Additionally, you will be expected to undertake significant self-directed study each week of more than 30 hours, depending on the demands of individual modules.

The contact hours may be made up of a combination of face-to-face teaching, individual and group tutorials, and online classes and tutorials.

As an innovative and enterprising institution, the university may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the university may deliver certain contact hours and assessments via online technologies and methods.

Since COVID-19, we have delivered our courses in a variety of forms, in line with public authority guidance, decisions, or orders and we will continue to adapt our delivery as appropriate. Whether on campus or online, our key priority is staff and student safety.


This course will be assessed using a variety of methods which will vary depending upon the module.

Assessment methods may include:

  • Formal examinations
  • Phase tests
  • Essays
  • Group work
  • Presentations
  • Reports
  • Projects
  • Coursework
  • Individual assignments

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

International experience opportunities

If you have a desire to gain international experience, there are opportunities to spend a year studying abroad. In the past, students have chosen to study Mathematics in St Marcus University in California, University of Malta, Stockholm University in Sweden, also universities in the Netherlands, Germany and Australia. Courses in all these universities have been delivered in English2.

The opportunity for a sandwich placement means we aim to support you in finding an internship and in seeking ways to finance that experience. Past students have gone to work in countries such as Malaysia, Belgium, and Spain.

Entry requirements

Typical offer for 2024/25 entry.

72 UCAS tariff points. All foundation courses require 5 GCSEs at A-C/4-9 including Maths and English, and at least one A2 level or a BTEC equivalent qualification.

If you don’t fulfil the entry criteria your application may be considered on an individual basis, taking into account any work experience, other qualifications and/or any training you have completed. Speak to one of our advisers today to find out how we can help you.

Chat with us

Contextual offers and Fair Access Scheme

If you meet the criteria for our Fair Access Scheme, you could automatically receive a contextual offer that may be up to 24 UCAS points lower than our standard entry requirements. View the criteria for our Fair Access Scheme.

Got higher grades? Have you considered direct entry to the degree without foundation year?

Fees and funding

2024/25 tuition fees.

Foundation year

Student Full-time Part-time
UK, Ireland*, Channel Islands or Isle of Man £7,950 Not available
International/EU Not currently available*** Not available


Student Full-time Part-time
UK, Ireland*, Channel Islands or Isle of Man £9,250 per year Not available
International/EU Not currently available*** Not available

Please note: UK (home) tuition fees for the degree course years will be charged at the current Coventry University UK (home) degree fee level. This was set at £9,250 for the 23/24 academic year.

If you choose to do a work placement2, you should consider travel and living costs to cover this. There is also a tuition fee3 of £1,250 that will cover your academic support throughout your placement year.

For advice and guidance on tuition fees and student loans visit our Undergraduate Finance page and see The University’s Tuition Fee and Refund Terms and Conditions.

Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them. Find out what's included in your tuition costs.

The following are additional costs not included in the tuition fees:

  • Any optional overseas field trips or visits: £400+ per trip.
  • Any costs associated with securing, attending or completing a placement (whether in the UK or abroad).

*Irish student fees

The rights of Irish residents to study in the UK are preserved under the Common Travel Area arrangement. If you are an Irish student and meet the residency criteria, you can study in England, pay the same level of tuition fees as English students and utilise the Tuition Fee Loan.

**This course with foundation year is not currently available to international students. If you do not meet the entry requirements to directly join year 1 of the degree, please take a look at our International Pathways Programme for additional options.


Our foundation years are taught at CU Coventry’s Mile Lane building, a short walk from the city centre. You’re part of the university from day one, so during your foundation year you’ll have access to the wider facilities at Coventry University. Once you successfully complete your foundation year, you'll transfer over to studying your chosen degree at Coventry University, where you'll be taught on campus in the relevant academic buildings.

Located on our Mile Lane campus, you will have access to our Library and Learning Services (LLS), fully equipped seminar rooms and IT suites4. You can also take advantage of reading rights in Coventry University’s Lanchester Library, make use of sport centre facilities and receive full membership to Your Students' Union.

Two students walking outside with the CU Coventry building behind them.

Mile Lane

The campus is home to an on-site library with bookable one-to-one academic writing service and library support sessions, fully equipped seminar rooms, open-access study areas, a café and an IT suite. Our labs contain industry-standard equipment so that you learn using the same equipment as many industry professionals.

A student working in a booth in The Hub.

The Hub

At The Hub you'll find the Health and Wellbeing Centre, the Students’ Union and Square One (which provides entertainment from quiz nights to live music), the Spirituality and Faith Centre, Tank Studio, Careers Office and a fantastic food court.

External view of the Lanchester Library.

Lanchester Library

You will have full reading rights in Coventry University’s Lanchester Library. The library is open 24/7, 364 days a year and has many study spaces, including group and silent areas. It also currently offers touchdown computers and free-to-loan laptops.

The School of Computing, Mathematics and Data Science is based in the Engineering and Computing Building, and the attached Beatrice Shilling Building. Both buildings are high-specification learning environments which benefit from extensive social learning facilities, well-appointed laboratories, lecturing facilities and classrooms, facilitating our innovative teaching methods across a diverse suite of undergraduate and postgraduate courses4.

Informal study areas

Informal study areas

You will have plenty of computer access to all the specialist software required for your studies. There are also bookable spaces where students can meet with academics or work in small groups.

sigma centre

sigma Centre

The sigma Centre is an award-winning mathematics support centre, which provides a wide range of learning resources in mathematics and statistics. Students can make use of drop-in sessions or one-to-one appointments.

maths laboratory

Mathematics laboratory

Set out like a traditional classroom with a large whiteboard, it is the only teaching room in the Engineering and Computing Building laid out in this way, designed to suit the teaching style required for this subject.

Careers and opportunities

On successful completion, you will have knowledge of:

  • The theory and practice of the methods of statistics and their application.
  • The logical construction of a mathematical argument.
  • The application of mathematics to construct models and their resolution, with an appreciation of the validity of the model and the use of approximation.
  • The use a range of analytic and descriptive techniques.
  • The strengths and weaknesses of selected mathematical software and a selected programming or scripting languages and their use to extend capabilities.
  • A range of real-world applications of mathematics.

On successful completion you will be able to: 

  • Understand, reproduce, and generalise logical mathematical reasoning.
  • Organise and interpret information and results from mathematical models.
  • Analyse problems and construct an appropriate formulation and solution with relatively little guidance or support.
  • Use specialist modern information technology packages and a programming language confidently.
  • Use a wide range of information resources to acquire relevant information.

Statisticians work in almost every sphere of life. Upon successful completion, there could be a range of career opportunities in areas such as business analysis, government planning, energy demand forecasting, scientific research, the pharmaceutical industry, medical statistics, market research, system reliability and quality control.

Where our graduates work

Previous mathematics students have worked as Financial Analysts at IBM, Gaming Financial Analysts for Warner Bros, Finance Assistants at Scottish Power, Business Performance Process Analysts at National Grid, Power Analysts at E.ON, and Customer Service Analysts for Cummins.

Further study

You can choose to continue your studies at Coventry University with the MSc Data science and computational intelligence. You may be entitled to an alumni discount on your fees if you decide to extend your time with us by progressing from undergraduate to postgraduate study.

How to apply

  • Study location

    The Foundation Year study route will be delivered by CU, part of the Coventry University Group, for and on behalf of Coventry University.

    If you choose to study at CU Coventry for your Foundation Year, then your learning will be based at CU Coventry. Mile Lane, Coventry. Subject to meeting requirements you will then transition to the relevant Coventry University subject faculty building for your progression degree.

    Coventry University together with Coventry University London, Coventry University Wrocław, CU Coventry, CU London, CU Scarborough, and Coventry University Online come together to form part of the Coventry University Group (the University) with all degrees awarded by Coventry University. 


    The majority of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply). Accreditations, partnerships, exemptions and memberships shall be renewed in accordance with the relevant bodies’ standard review process and subject to the university maintaining the same high standards of course delivery.

    2UK and international opportunities

    Please note that we are unable to guarantee any UK or international opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be unpaid and/or subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel, public authority guidance, decisions or orders and visa requirements. To ensure that you fully understand any visa requirements, please contact the International Office.

    3Tuition fees

    The University will charge the tuition fees that are stated in the above table for the first Academic Year of study. The University will review tuition fees each year. For UK (home) students, if Parliament permit an increase in tuition fees, the University may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation.

    For international students, we may increase fees each year, but such increases will be no more than 5% above inflation. If you defer your course start date or have to extend your studies beyond the normal duration of the course (e.g. to repeat a year or resit examinations) the University reserves the right to charge you fees at a higher rate and/or in accordance with any legislative changes during the additional period of study.


    Facilities are subject to availability. Access to some facilities (including some teaching and learning spaces) may vary from those advertised and/or may have reduced availability or restrictions where the university is following public authority guidance, decisions or orders.

    Student Contract

    By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the university. A copy of the current 2024/2025 contract is available on the website. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the university will owe to you. You should read the Contract before you accept an offer of a place and before you enrol at the university.

You may also like

Discover Uni stats