Statistics PhD
Lancaster University
Student rating
This is the overall rating calculated by averaging all live reviews for this uni on Whatuni.
( 4.2) View reviews

Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days?

Different course options
2 options available
academic-cap
Qualification

PhD/DPhil - Doctor of Philosophy

location-pin
Location

Main Campus

beaker
Study mode

Full Time

calendar
Start date

SEP-26

time
Duration

3 Years

Course info

Select a course option


Qualification

PhD/DPhil - Doctor of Philosophy

Location

Main Campus

Study mode

Full Time

Start date

SEP-26

Duration

3 Years

SELECTED

Qualification

PhD/DPhil - Doctor of Philosophy

Location

Main Campus

Study mode

Part Time

Start date

SEP-26

Duration

4 Years

SELECT

Subjects

Select a subject


Mathematics
SELECTED

Exam type

Select a an exam type


Location

Select student location


Domestic
SELECTED

EU
SELECT

Rest of World
SELECT

Course info

We welcome applications from those seeking to undertake PhD research degrees.The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths ...Read more

We welcome applications from those seeking to undertake PhD research degrees.The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes a valuable source of experience and income.

Key stats

  IDP Connect
WUSCA ranking:
WUSCA student ranking
These are the 2025 rankings, based on ratings given by past and current students.
66/279
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2026
11th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2026
10th
What students say
F
Fay
14 Dec 25

The campus is very useful with walking distances and options but construction work takes a while which blocks a few paths off so makes the walk a lot..Read more

J
Jack
23 Nov 25

The close and inclusive campus..Read more

Modules

Module Options
IDP Connect

Entry 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. It would also be desirable to have a Masters 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. Typically, your degree is expected to have covered the following modules: Calculus, Analysis, Linear Algebra, Scientific computing, Probability, Statistical Inference. We may also consider non-standard applicants.

Tuition fees

Students living in

Domestic

Students from Domestic

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

To be confirmed

Students from EU

The amount you'll pay if you come to study here from somewhere in the EU.

To be confirmed

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

To be confirmed

IDP Connect

Latest reviews

Latest Statistics reviews

Statistics
Statistics
F
Fay
14 Dec 25
Mathematics and Statistics (Placement Year)
The campus is very useful with walking distances and options but construction work takes a while which blocks a few paths off so makes the walk a lot...
Read more
J
Jack
23 Nov 25
Mathematics and Statistics
The close and inclusive campus...
Read more
Review breakdown
University rating
University rating
Students' union
Societies and Sports
University halls
Facilities
Lecturers and teaching quality
Local life
Career prospects
Student support
Location
Campus look and feel
Student life
Course rating
Course content
Work placements and internships
Tutor contact time
Subject facilities
University location
Cost of living
Safety
Public transport
Part-time work opportunities
Graduate employment opportunities
Diversity
Location
Safety
Room allocation
Internet/wifi
Value for money
Property management

How Statistics students rated:

Student rating
( 4.2) 9 reviews
5 star
56%
4 stars
33%
3 stars
0%
2 stars
0%
1 star
11%

How all students rated:

Student rating
( 4.2) 1,653 reviews
5 star
38%
4 stars
51%
3 stars
10%
2 stars
1%
1 star
0%
Search reviews that mention

Uni info

Lancaster University
Lancaster, Bailrigg Lancaster Lancashire LA1 4YW United Kingdom
Nearest train station: Lancaster  1.7 miles away

Find a course

  • Undergraduate
  • HND / HNC
  • Foundation degree
  • Access & foundation
  • Postgraduate