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Mathematics, Statistics and Data Analytics combine rigorous mathematical thinking with the analysis and modelling of data. This subject develops logical reasoning, problem-solving and analytical skills, while providing a strong foundation in pure mathematics, calculus, probability, statistical inference, data analytics and applied mathematics. By studying Mathematics and Statistics, you will learn to solve complex problems, analyse data and communicate quantitative findings effectively.You'll gain a solid grounding in mathematics, statistics and data analytics while developing practical skills in data analysis, modelling, computing and programming. This MSci includes a year-long work placement to provide valuable professional experience, helping you apply your skills in practice while enhancing employability and preparing you for a wide range of careers.**Programme structure****Year 1**Alongside a compulsory mathematics course, you can take courses introducing topics in probability and statistical methods, with examples and case studies illustrating how statistics is used in practice in the real world.**Year 2**Alongside two compulsory mathematics courses, you will take four courses covering topics in statistical methods and probability theory, such as probability distributions, likelihood estimation and regression modelling. You will also be taught statistical programming in order to apply the theory and methods to real world data.**Year 3**If you proceed to Honours, you will study theory and practical training, which involves project planning, report writing and the development of presentational skills. General topics covered across courses include probability, modelling, design, inference, Bayesian methodology, machine learning and a range of applications including biostatistics, environmental statistics and financial statistics.You will also complete case studies and projects on topics which may be drawn from the fields of bioinformatics, environmental studies, medicine, psychology, sports science and veterinary science.An important feature of project activities is a presentation. You will give a talk describing your project problem, your analyses and results. This, along with writing a report in non-technical language, provides you with two important transferable skills. You will also gain experience in teamwork and learn to use statistical packages, as well as gaining appreciation of the use and misuse of computers and computer software in statistics.**Year 4**Year 4 is the MSci programme work placement year. Students who have met the criteria will undertake a paid, 12-month work placement in industry or the public sector to gain professional experience and learn to apply their knowledge and skills in a real-world context.Progression to the work placement is on the basis of achieving a minimum GPA of 15 in Year 3, and successfully completing an application and interview process with a prospective employer.**Year 5**In fifth year you will have the opportunity to specialise in your area of choice and undertake a project carried out under one-to-one supervision.**Our international links**You will have the opportunity to study abroad at one of our partner universities as part of your degree. This won't add any extra time to your studies.**Careers and future opportunities****Graduate destinations**The following are examples of roles that graduates are in 15 months after completing their programme:* Operations Analyst* Accountant Assistant* Asset Data Analyst* Assistant Tax Advisor* Assurance Associate* Teacher* Graduate Software Engineer* Marketing Analyst* Quantitative Analyst* Trainee AuditorExample job titles are taken from responses received through the HESA Graduate Outcomes survey. Graduates surveyed 15 months after graduation. Includes single and joint honours
