Mathematics with Statistics MSci Hons 48 months Undergraduate Programme By Lancaster University |TopUniversities
Subject Ranking

# 251-300QS Subject Rankings

Programme Duration

48 monthsProgramme duration

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Degree

MSci

Study Level

Undergraduate

Study Mode

On Campus

Mathematics and statistics underpin all aspects of modern life: advances in science, innovations in medicine, new technology, and business. This Master's programme provides a comprehensive, advanced study, preparing you for a wide range of rewarding career opportunities.

Mathematics and statistics allow us to understand our world at the most fundamental level. Studying these subjects provides us with information in its purest form, giving us answers to problems from all aspects of life. You can learn to study and predict patterns and changes in everything, including human behaviour, plant growth, chemical reactions, and stocks and shares.

This is an engaging programme of study and our reputation for excellence in research means that we are able to offer high-quality teaching delivered by academics who are leaders in their field. Our four year integrated Master's gives you the opportunity for deeper specialisation in mathematics and statistics, and the chance to develop your research skills by undertaking a dissertation or industry research project.

During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and mathematical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills.

In the second year, you will further develop your knowledge in analysis, algebra, probability and statistics. You will also be introduced to Computational Mathematics, exploring the theory and application of computation and numerical problem-solving methods. While studying these topics, you will complete our Project Skills module, which provides you with the chance to enhance your research and employment skills through an individual and group project. Additionally, you will gain experience of scientific writing, and you will practise using statistical software such as R and LaTeX.

Beyond second year, we offer a wide range of specialist optional modules, allowing you to develop and drive the programme to suit your interests and guide you to a specific career pathway. In third year, you will put the maths and statistics skills and knowledge you have gained so far into practice as your study begins to really focus in on advanced statistics. Topics include: Combinatorics, Bayesian Inference, Medical Statistics, and Number Theory.

In the fourth year, you will be able to widen your knowledge and skills by selecting from a pool of optional Master's-level modules. Some of these will be familiar from third year, while others will be new to this year. These advanced modules allow you to exercise what you have learnt during the programme, while expanding and evolving your skill set further.

You will also complete a major research project in either pure maths or statistics, guided by your interests and supervised by an active researcher, or undertaken as part of a collaborative industry project. This will cement your learning, provide you with valuable experience and position you for a career in maths or academia and research.

Programme overview

Main Subject

Mathematics

Degree

MSci

Study Level

Undergraduate

Study Mode

On Campus

Mathematics and statistics underpin all aspects of modern life: advances in science, innovations in medicine, new technology, and business. This Master's programme provides a comprehensive, advanced study, preparing you for a wide range of rewarding career opportunities.

Mathematics and statistics allow us to understand our world at the most fundamental level. Studying these subjects provides us with information in its purest form, giving us answers to problems from all aspects of life. You can learn to study and predict patterns and changes in everything, including human behaviour, plant growth, chemical reactions, and stocks and shares.

This is an engaging programme of study and our reputation for excellence in research means that we are able to offer high-quality teaching delivered by academics who are leaders in their field. Our four year integrated Master's gives you the opportunity for deeper specialisation in mathematics and statistics, and the chance to develop your research skills by undertaking a dissertation or industry research project.

During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and mathematical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills.

In the second year, you will further develop your knowledge in analysis, algebra, probability and statistics. You will also be introduced to Computational Mathematics, exploring the theory and application of computation and numerical problem-solving methods. While studying these topics, you will complete our Project Skills module, which provides you with the chance to enhance your research and employment skills through an individual and group project. Additionally, you will gain experience of scientific writing, and you will practise using statistical software such as R and LaTeX.

Beyond second year, we offer a wide range of specialist optional modules, allowing you to develop and drive the programme to suit your interests and guide you to a specific career pathway. In third year, you will put the maths and statistics skills and knowledge you have gained so far into practice as your study begins to really focus in on advanced statistics. Topics include: Combinatorics, Bayesian Inference, Medical Statistics, and Number Theory.

In the fourth year, you will be able to widen your knowledge and skills by selecting from a pool of optional Master's-level modules. Some of these will be familiar from third year, while others will be new to this year. These advanced modules allow you to exercise what you have learnt during the programme, while expanding and evolving your skill set further.

You will also complete a major research project in either pure maths or statistics, guided by your interests and supervised by an active researcher, or undertaken as part of a collaborative industry project. This will cement your learning, provide you with valuable experience and position you for a career in maths or academia and research.

Admission Requirements

6+
38+
87+
58+
176+

4 Years
Oct

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