Program Overview
Lancaster University's PhD in Statistics is a research-intensive program designed for individuals with substantial statistical knowledge and experience. Focusing on developing novel statistical models and methods, the program emphasizes the interface between theory and application, with research links to various organizations and institutions. Students work индивидуally with a supervisor, participate in research training courses, and may gain experience as teaching assistants, fostering their methodological strengths and preparing them for careers in academia, industry, or research.
Program Outline
Degree Overview:
The PhD in Statistics is a three-year full-time program (or 4-7 years part-time) designed for individuals with significant statistical knowledge and experience who are prepared to undertake independent research projects. The program's focus is on the development of novel statistical models and methods driven by applied problems, with a particular emphasis on environmental, biomedical, and social sciences. The Statistics Group prioritizes the development of methodological strengths, including stochastic modeling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for designing and analyzing clinical trials, nonparametric regression, functional data analysis, and statistical learning. The program strongly emphasizes the interface between theory and application, with close research links to other University departments, hospitals, pharmaceutical companies, and research institutes within the UK and abroad.
Teaching:
Students will work individually with a supervisor to contribute to research in their chosen area. The program offers research training courses to support additional learning and personal development. Students also have the opportunity to work as teaching assistants on taught programs, gaining valuable experience and income.
Other:
The Statistics Group at Lancaster University is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences.
Tuition Fees
Location
Home £4,786 £2,393 International £26,492 £13,246
Additional Costs
There may be extra costs related to your course for items such as books, stationery, printing, photocopying, binding and general subsistence on trips and visits. Following graduation, you may need to pay a subscription to a professional body for some chosen careers. Fees in subsequent years Read more about fees in subsequent years.
Lancaster University
Overview:
Lancaster University is a public research university located in Lancaster, England. It is consistently ranked among the top 10 universities in the UK and is recognized for its high-quality teaching, research, and student experience.
Student Life and Campus Experience:
Lancaster University offers a vibrant and diverse campus experience. Students can enjoy a range of facilities, including a library, sports center, and arts venues. The university also has a strong sense of community, with a variety of student societies and clubs to join.
Key Reasons to Study There:
High Rankings and Reputation:
Lancaster University is consistently ranked among the top 10 universities in the UK, demonstrating its academic excellence.Excellent Teaching and Learning:
The university is known for its high-quality teaching and learning, with a focus on student engagement and support.Vibrant Student Life:
Lancaster University offers a wide range of opportunities for students to get involved in extracurricular activities, including sports, societies, and arts events.Beautiful Campus:
The university is situated on a beautiful campus with modern facilities and green spaces.Strong Career Support:
Lancaster University provides excellent career support services to help students prepare for their future careers.Academic Programs:
Lancaster University offers a wide range of undergraduate and postgraduate programs across various disciplines, including: * Arts and Social Sciences * Health and Medicine * Management School * Science and Technology
Entry Requirements:
- Academic Requirements:
- 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components.
- A Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing is desirable.
- The degree should have covered the following modules:
- Calculus
- Analysis
- Linear Algebra
- Scientific computing
- Probability
- Statistical Inference
- Non-standard applicants may be considered.
- International qualifications need to be checked before applying.
- Additional Requirements:
- Contact the relevant PhD admissions tutor.
Language Proficiency Requirements:
- English Language Requirements:
- Applicants may need to provide a recognised English language qualification depending on their nationality and where they studied previously.
- Typically, an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test is required.
- Other English language qualifications are also considered.
- Pre-sessional English language programmes are available for those whose scores are below the requirements.
