Information for Joint Honours (Science) Students


Level 1 Statistics modules
Four compulsory level 1 modules are taken.
MATH1715 Introduction to Probability 10 credits, semester 1, RGA.
MATH1815 Modelling in Statistics and Probability 10 credits, semester 1, CAG.
MATH1725 Introduction to Statistics 10 credits, semester 2, AJB.
MATH1825 Statistics through Applications 10 credits, semester 2, CF.

The initials against each module above indicate the provisional lecturer assigned to teach the module. Click here to see a list of the lecturers' names.

MATH1825 is assessed by 100% continuous assessment. The other three modules are assessed using 20% continuous assessment (typically based on practicals and homeworks) and 80% for a two hour examination at the end of the relevant semester.

Passes in MATH1715 and MATH1725 are ESSENTIAL to continue with Statistics at level 2.

All students are assigned to a Statistics tutor for each module. You will see your module tutor every two weeks for an hour.

Using calculators in the exam: Make sure you have a suitable calculator for the examination. Note that the School of Mathematics does NOT allow graphical or programmable calculators to be used. Click here to see the policy on calculators.

R computer package: The Statistics practicals use the R Statistics package. This is FREE software downloadable from the internet. Click here to find out how to download R. You should use the "Download and Install R" link and not the "Source Code for all Platforms" link. You will generally only need the "base" package. You then only need to download the .exe file Setup Program, currently about 33 Mb. The current version (at 27/9/2010) is 2.11.1.


Level 2 Statistics modules
Students take 40 credits made up as described below.

Two compulsory level 2 modules must be taken.
MATH2715 Statistical Methods 10 credits, semester 1, RGA.
MATH2735 Statistical Modelling 10 credits, semester 1, AG.

At least ONE of the following Statistics modules must be taken. (Normally two are taken.)
MATH2740 Environmental Statistics 10 credits, semester 2, CAG.
MATH2750 Introduction to Markov Processes 10 credits, semester 2, AYV.
MATH2770 Medical Statistics 10 credits, semester 2, WRG.

At most ONE of the following Mathematics modules may be taken.
MATH1225 Introduction to Geometry 10 credits, semester 1, MMM.
MATH2090 Real and Complex Analysis 10 credits, semester 2, MMM.
MATH2210 Introduction to Discrete Mathematics 10 credits, semester 2, MMM.
MATH2391 Nonlinear Differential Equations 10 credits, semester 2, MMM.
MATH2431 Fourier Series, PDE's and Transforms 10 credits, semester 2, MMM.

Normally all 40 credits are taken from the list of Statistics modules.

The initials against each module above indicate the provisional lecturer assigned to teach the module. Click here to see a list of the lecturers' names.

All the Statistics modules are assessed at the end of the appropriate semester. Assessment is typically based on 20% course-work and 80% a two-hour examination.

A pass in MATH2715 is ESSENTIAL to continue with Statistics at level 3.
MATH2715 is a pre-requisite for MOST level 3 Statistics modules and MATH2735 is a pre-requisite for other level 3 Statistics modules.

No tutorials are arranged for level 2 modules. You will be expected to attend regular examples classes (workshops).

Using calculators in the exam: Make sure you have a suitable calculator for the examination. Note that the School of Mathematics does NOT allow graphical or programmable calculators to be used. Click here to see the policy on calculators.

R computer package: The Statistics practicals use the R Statistics package. This is FREE software downloadable from the internet. Click here to find out how to download R. You should use the "Download and Install R" link and not the "Source Code for all Platforms" link. You will generally only need the "base" package. You then only need to download the .exe file Setup Program, currently about 33 Mb. The current version (at 27/9/2010) is 2.11.1.


Level 3 Statistics modules
Students take between 40 and 80 credits in Statistics from the list below.

MATH3714 Linear Regression and Robustness 15 credits, semester 1, CAG.
MATH3723 Statistical Theory 15 credits, semester 2, RGA.
MATH3733 Stochastic Financial Modelling 15 credits, semester 1, AYV.
MATH3752 Statistic Project I 15 credits, semester 1, ZZ1.
MATH3753 Statistics Project II 15 credits, semester 2, ZZ2.
MATH3772 Multivariate Analysis 10 credits, semester 1, SB.
MATH3802 Time Series 10 credits, semester 2, JV.
MATH3830 Statistical Shape Analysis 10 credits, semester 2, JTK.
MATH3880 Introduction to Statistics and DNA 10 credits, semester 1, AG.

The initials against each module above indicate the provisional lecturer assigned to teach the module. Click here to see a list of the lecturers' names.

All of the Statistics modules are assessed at the end of the appropriate semester. Assessment is typically based on 20% course-work and 80% an examination.
The 10 credit modules have a two-hour examination while the 15 credit modules have a three-hour examination.
The projects are assessed on the basis of the completed report and a short oral examination.

No tutorials are arranged for level 3 modules. The lecturers will provide help through a regular examples class. A supervisor is appointed for each student undertaking a project who will meet with his student(s) regularly.

Level 2 modules in your final year: JHS rules allow ONE level 2 module to be taken in your final year. Note that a level 2 module has the same weight as a level 3 module for the purpose of calculating a final degree classification. Thus, within Statistics you can choose, if desired, one 10 credit module from those offered at level 2 (but not MATH1200 or MATH1022).
Exceptionally TWO level 2 modules can be chosen by students taking level 3 Statistics AND level 3 Mathematics. If taking 80 credits in one of these subjects, then BOTH level 2 modules can be in your major subject.
Note that under University rules you must pass at least 100 credits at level 3 to gain an honours degree.
The table below summarises how you can choose your level 2 modules from Mathematics and Statistics. Note that you do NOT have to take any level 2 modules in your final year − this is indicated by the 0+0 cases below.

Final year Programme Number of level 2 Maths+Stats
modules you can take
Maximum number of level 2 modules you can take
Mathematics (=m credits) and Statistics (=120-m credits) with 40 < m < 80 0+0, 0+1, 1+0, 1+12
Statistics (80 credits) and Mathematics (40 credits) 0+0, 0+1, 1+0, 1+1, 0+22
Mathematics (80 credits) and Statistics (40 credits) 0+0, 0+1, 1+0, 1+1, 2+02
Statistics and Other Subject0+0, 0+11

Using calculators in the exam: Make sure you have a suitable calculator for the examination. Note that the School of Mathematics does NOT allow graphical or programmable calculators to be used. Click here to see the policy on calculators.

R computer package: The Statistics practicals use the R Statistics package. This is FREE software downloadable from the internet. Click here to find out how to download R. You should use the "Download and Install R" link and not the "Source Code for all Platforms". You will generally only need the "base" package. You then only need to download the .exe file Setup Program, currently about 33 Mb. The current version (at 27/9/10) is 2.11.1.

Level 3 Statistics Project:
It is NOT compulsory to do a project.
A Statistics Project can only be taken by students taking 60 credits or more of Statistics at level 3.
A Statistics project can NOT be taken if a Mathematics project is also done.
Both MATH3752 and MATH3753 CANNOT be taken.
The project can NOT be taken if the module EDUC3060 is also taken.
If you want to undertake a project in semester 1 (MATH3752), then you MUST inform Prof. Alexander Veretennikov, email veretenn @ maths.leeds.ac.uk while if you want to undertake a project in semester 2 (MATH3753), then you MUST inform Prof. John T. Kent, email john @ maths.leeds.ac.uk.


Lecturers
The initials against each module above indicate the provisional lecturer assigned to teach the module during 2009-2010.

InitialsLecturer's name
RGADr. Robert G. Aykroyd
AJBDr. Andrew J. Baczkowski
SBDr. Stuart Barber
LVBDr. Leonid V. Bogachev
CFDr. Chris Fallaize
WRGProf. Walter R. Gilks
CAGDr. Christine A. Gill
AGDr. Arief Gusnanto
JTKProf. John T. Kent
CCTProf. Charles C. Taylor
AYVProf. Alexander Yu Veretennikov
JVDr. Jochen Voss
ZZ1One of a number of project supervisors - expected to be RGA, AJB, SB, AG, CAG, AYV, JV.
ZZ2One of a number of project supervisors - expected to be RGA, AJB, SB, AG, CAG, JTK, AYV, JV.
MMMMember of staff from Pure or Applied Mathematics.


Royal Statistics Society


Statistics prize
The Department of Statistics award "The Royal Statistical Society Prize" to the final-year student whose work in statistics modules is judged to be of greatest merit. All students, single-honours or joint-honours, are eligible for the award.


Mathematics JHS Web-pages
To access the web-page for Mathematics Joint Honours click here.


Personal tutee information


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