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University of Warwick, Full Time MSc Degrees in Mathematics

We have 12 University of Warwick, Full Time MSc Degrees in Mathematics

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Do you aspire to become a professional scientist? If so, this course is designed with you in mind. It’s suitable if you’re a Mathematics graduate wishing to progress to PhD level studies in one of the sciences, or a Science graduate wishing to undertake a PhD in Mathematics. Read more
Do you aspire to become a professional scientist? If so, this course is designed with you in mind. It’s suitable if you’re a Mathematics graduate wishing to progress to PhD level studies in one of the sciences, or a Science graduate wishing to undertake a PhD in Mathematics. Equally, the course may be of interest if you have a reasonable mathematical background, and wish to learn about the interactions between Sciences and Mathematics.

The programme encompasses a breadth of pure and applied mathematics, and statistics. As an interdisciplinary MSc student, you’ll also have the option to take modules in related sciences and social sciences, including Physics, Biology and Economics.

Most of our MSc postgraduates continue to PhD studies in Mathematics or other contributing subjects (in Warwick or a range of international institutions). Others pursue careers in business, finance, public service, teaching and related sectors.

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If you see yourself as a research mathematician of the future, this course could appeal to you. For enthusiastic mathematicians, it’s a chance to further develop your knowledge if you already have an undergraduate Mathematics, Physics or Statistics degree. Read more
If you see yourself as a research mathematician of the future, this course could appeal to you. For enthusiastic mathematicians, it’s a chance to further develop your knowledge if you already have an undergraduate Mathematics, Physics or Statistics degree. If your academic background is not in these areas, this course could still appeal if you’re a strong mathematician looking for a return to formal education.

Your studies will include a mix of lecture-based modules and independent research. In your final year, you’ll be able to explore a chosen subject in depth and present your findings in a written dissertation.

Many of our MSc postgraduates have gone on to study for a PhD in Mathematics or moved into scientific research. Other alumni have entered careers that include banking, finance and insurance.

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With independent research on topics in Mathematics and Statistics, the MASDOC doctoral training programme spans four years and comprises an innovative taught-course component and PhD. Read more
With independent research on topics in Mathematics and Statistics, the MASDOC doctoral training programme spans four years and comprises an innovative taught-course component and PhD
research of the highest standard.

The MSc offers you a broad base of tools to embark on your research project via both taught and research training components. You’ll benefit from close contact with world-class researchers right from the start, helping you to make informed decisions on future research topics and supervisors for your PhD. You’ll focus on research areas including Analysis, Applied Mathematics, Numerical Analysis, Probability and Statistics, but the entire programme is very flexible and you can specialise in different themes and techniques.

Our graduates are highly valued by employers in industry, business or government organisations, and in laboratories where highlevel mathematical modelling and analysis are essential tools. You’ll also be well-positioned to embark on an academic career.

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Our suite of Finance Master’s degrees brings you a deep theoretical and conceptual knowledge of finance and related quantitative skills, which will prepare you for a range of careers in global financial institutions and blue-chip companies. Read more
Our suite of Finance Master’s degrees brings you a deep theoretical and conceptual knowledge of finance and related quantitative skills, which will prepare you for a range of careers in global financial institutions and blue-chip companies. Our postgraduates are highly employable in a wide range of roles. The skills they acquire at WBS open up opportunities to work for banks and treasuries, asset managers, regulators and consultancies, policy-makers and many others.

Course Details

Six core modules cover key material in finance, statistics and maths. Every year we offer many elective modules, available through various study routes: delivered here at WBS. Please note that availability and delivery modes may vary.

Modules are taught by staff from WBS, Warwick's Department of Statistics, and the Mathematics Institute through a combination of lectures, classes, and computer lab sessions. A one-week induction module, run by the Mathematics Institute, will ensure you have the mathematical prerequisites for the course. Assessment is a mix of exams and coursework with your dissertation bringing all your learning together at the end.

Lectures & classes

Lectures introduce key theories, concepts, and economic models. You will solve financial problems and numerical exercises, analyse case studies, and make presentations of research published in academic journals.

Lab work

Lab work will give you hands-on experience of using software to perform finance-related calculations and conduct realistic simulations. Econometric methods are also taught in the lab, so you will learn to apply econometric software to empirical research and financial market estimations.

Your dissertation

A 10,000 word dissertation gives you the opportunity to test and apply techniques and theories you have been learning and to complete an original piece of research. You will be supervised and supported by one of our academic staff.

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Would you like to learn how to use novel mathematics to tackle real-world problems? This MSc and PhD-combined course bridges three key areas. Read more
Would you like to learn how to use novel mathematics to tackle real-world problems? This MSc and PhD-combined course bridges three key areas: Complexity Science; Systems Biology and Infectious Disease Epidemiology Research.

The taught element of the course will equip you with the necessary skills required for the PhD, during which you can work on specialist mathematical solutions to global challenges. You’ll have the opportunity to identify real-world systems and explore how they can benefit from mathematical techniques. As your studies progress, you’ll become open to new ways of thinking, combining cutting-edge mathematical skills with the ability to understand and model real-world systems. You’ll also learn how to analyse complex data sets, work well in multidisciplinary teams and become an effective communicator.

Throughout the course, you’ll benefit from the first-hand expertise of our collaborative partners from industry, finance and health. As a result, you’ll graduate with excellent employment prospects and the relevant experience to work at the forefront of academic and industrial research.

Applications for MSc only are welcomed but there is no Research Council funding available for this option so applicants would need to source their own funding.

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Ours is one of the few taught MSc courses in the area currently available in the UK. This interdisciplinary course will allow you to understand, predict, control and design complex systems, and work to develop the solutions to real-world problems. Read more
Ours is one of the few taught MSc courses in the area currently available in the UK. This interdisciplinary course will allow you to understand, predict, control and design complex systems, and work to develop the solutions to real-world problems.

Located at the heart of campus, our ground breaking research centre is perfectly situated to enable you to engage with nearby science departments. Our core modules explore diverse topics ranging from networks, random processes, dynamical systems, data analysis and numerical methods. You can also take optional modules from other departments across the University.

You will have the opportunity to work in groups to solve a real-world problem posed by an external partner, and will complete an individual research project. The course leads to PhD in Mathematics of Systems, but can also be taken stand-alone.

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The Predictive Modelling MSc is designed for those wishing to develop the skills and depth of knowledge to deal with the integration of Big Data with mathematical and statistical simulation tools in order to model and design complex systems in the presence of uncertainties. Read more
The Predictive Modelling MSc is designed for those wishing to develop the skills and depth of knowledge to deal with the integration of Big Data with mathematical and statistical simulation tools in order to model and design complex systems in the presence of uncertainties. The course will prepare you in the theory and practical implementation of cutting-edge predictive modelling techniques, exposing you to established and emerging applications.

Course Structure

The MSc runs over one year. The taught part consists of six 15-credit modules. Of those, three are core modules offered by the WCPM. Three more can be selected from relevant departments across the university. The second half of the course consists of a 90 credit individual research project, selected from a combined list from Engineering, Physics, Chemistry, Life Sciences, Social Sciences, Mathematics, Statistics, Computer Science, Warwick Business School, Warwick Manufacturing Group and the Centre for Scientific Computing.

You will also undertake a substantive individual research project involving a theoretical or computational investigation of a topic chosen by the student in conjunction with an academic supervisor.

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Increasingly, big data are used to track and trace social trends and behaviours. In turn, governments, business and industries worldwide are rapidly recruiting graduates who can understand and analyse big data. Read more
Increasingly, big data are used to track and trace social trends and behaviours. In turn, governments, business and industries worldwide are rapidly recruiting graduates who can understand and analyse big data. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You will learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries.

You will take three core modules and a dissertation. Three option modules (see below) allow further specialisation. Lab work, report writing, data skills training and guest lectures by industry experts will form an integral part of your learning experience. You will be invited to attend short certified ‘Masterclasses’ to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. health; networks; food) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods.

You don’t need a computer science, mathematics or statistics background to apply. The focus is on conducting and understanding applied quantitative social science, so a willingness to engage with real world social science issues is essential.

Course Overview

Core Modules
-Big Data Research: Hype or Revolution?
-Principles in Quantitative Research
-Advanced Quantitative Research
-Dissertation

Masters Optional Modules
-Visualisation
-Social Informatics
-Big Data Research
-Hype or Revolution?
-Complexity in the Social Sciences
-Media and Social Theory
-Digital Sociology
-Post Digital Books
-User Interface Cultures
-Design, Method and Critique
-Playful Media
-Ludification in the Digital Age

Assessment
A combination of essays, reports, design projects, technical report writing, practice assessments, group work and presentations and an individual research project.

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Data Analytics increasingly fulfils a crucial role for businesses and organisations in every sector, from cyber security to retail. Read more
Data Analytics increasingly fulfils a crucial role for businesses and organisations in every sector, from cyber security to retail. Our MSc course is on the pulse of recent advancements in the field, enabling you to acquire the comprehensive and advanced knowledge of advanced topics and methods in computer science, mathematics and engineering that is crucial to a future role in ‘big data’.

You’ll study modules covering topics such as data mining and agent-based systems, and your learning experience will be enriched by our strong links with international industry. While completing your dissertation, you can choose to be paired with an industry mentor who will help you to further explore your professional interests.

Travel is also an option. In your third term, you’ll have the opportunity to study elements of the Advanced Certificate on large scale quantitative data with the ‘Center for Urban Science’ in New York. If this interests you, please specify this in your application. Our graduates meet the increasing demand for experienced data analysts, going on to find employment within a variety of organisations in industry, government and academia.

Course Content

Among the elite courses of its kind in the UK, our programme places as much emphasis on the rigorous mathematical underpinning of data analytics as the application of these principles to real-world problems. This joint emphasis ensures that our graduates enter the professional world with a firm foundation on which to develop a fulfilling career, as well as the analytical skills and knowledge of modern tools that make them immediately valuable to employers.

The course has two components - a taught component and a dissertation. The taught component will allow you to acquire expertise and technical skills in cutting edge areas of data analytics, including computer security, data mining, natural language processing and visualisation, as well as experience of project management and scientific method.

The taught component is complemented by a dissertation project, undertaken primarily in the second half of your course, which offers the opportunity to specialise and explore areas of interest in greater depth. Your dissertation may be entirely research focussed or directed towards the application of advanced topics. Crucially, there is always scope for commercial support from a wide range of industrial partners, giving you the chance to establish industrial links during your course.

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As an interdisciplinary centre we offer relevant modules run by other departments as well as the Centre’s own modules. The list of modules offered is reviewed annually and is dependent on those offered by each department. Read more
As an interdisciplinary centre we offer relevant modules run by other departments as well as the Centre’s own modules. The list of modules offered is reviewed annually and is dependent on those offered by each department.

This MSc provides an exciting mixture of fundamental methods and cutting-edge applications of Scientific Computing. Formal training covers software engineering for both workstations and high-performance computers, and underpinning algorithms. You may then choose a project within one of the many interdisciplinary Scientific Computing research groups at Warwick.

Our interdisciplinary focus gives you access to a breadth of expertise across the natural sciences at Warwick. You will benefit from extra contact time with staff and other students, while also being able to work across departments in accordance with your subject interests. Recent graduate destinations include the financial and IT sector. A large proportion of our MSc students continue on to a PhD programme in a science discipline and others have advanced to roles in IT development, modelling and consultancy.

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Providing a thorough grounding in statistical theory and techniques, the MSc course offers a launching pad for a professional career involving statistics, or a prelude to a research degree (PhD). Read more
Providing a thorough grounding in statistical theory and techniques, the MSc course offers a launching pad for a professional career involving statistics, or a prelude to a research degree (PhD).

You’ll receive practical and theoretical training in two core courses (Statistical Methods and Introduction to Statistical Practice), which is then applied in six modules of your choice. Teaching places greater emphasis on practical work than at undergraduate level — this includes coursework reports and learning state-of-the-art specialised research subfields. The dissertation you’ll produce at the end of the course is supervised by members of our academic staff and gives you the opportunity to engage with research relevant to statistical work in both academia and industry.

Global demand for MSc-trained statisticians is notably strong and increasing. Our MSc postgraduates have gone on to apply their skills in a number of fields, including medical, bioinformatics and pharmaceuticals research; actuarial work; investment banking; and government statistical analysis. Many of our postgraduates also advance to PhD study and to careers in academia.

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Learn how to gain insights and understanding from large data sets by using statistical methods, and how to apply these to business problems. Read more
Learn how to gain insights and understanding from large data sets by using statistical methods, and how to apply these to business problems. Through this MSc, you’ll develop an understanding of the role of an analyst within an organisation, improve your business acumen and communication skills, and get commercial/research experience for your CV through your project and dissertation.

Course details

You will study four core modules to give you an overview of key business areas, and take four elective modules of your choice available through various study routes on this one year programme. Please note that availability and delivery modes may vary. Assessment is usually a mix of exams and coursework. Your project and dissertation will either be as a consultant to an organisation or as applied research.

Consultancy project
Working as a consultant tests your ability to assess a problem and adopt the best approach to tackling it, as well as your client liaison and management skills. You will usually write a client report in addition to your 12,000 word dissertation.

Research project
A research project allows you to explore a topic critical to effective decision-making in organisations. Supervised by one of our academics, demonstrate you can undertake systematic and rigorous applied research over 12,000 words.

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