Lancaster's Royal Statistical Society (RSS) accredited Masters program combines a blend of theoretical study with real-world application. Over the year, students will develop advanced statistical skills and knowledge, while having the opportunity to put what they learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, students will also develop project management and communication skills. Upon graduating, students will be ideally placed to pursue a career as a statistician, confident that they can apply their analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable students to develop and strengthen essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. Students will be supported in selecting those specialist modules that best reflect their own interests and career aspirations.
Alongside the technical modules, students will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. Students will be based within the Department of Mathematics and Statistics where they will have access to specialist software and equipment. Students will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should they choose to do so.
Finally, over the course of three months, students will complete a Masters-level dissertation. A statistical researcher, who will guide and support them throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow students to bring together and put into practice the discipline specific skills, knowledge and experience they have gained throughout the year. This will take their understanding of advanced statistics beyond classroom learning allow them to develop a working understanding of statistical methodology and build their confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as students progress into a career.
| Level | Masters |
| Discipline | Mathematics |
| Duration | 12 months |
| Intakes | Jan, Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 24430 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 87 |
| PTE | 58 |
| Duolingo | Not Required / Waiver |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 75%
141
155
301-400
312
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