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Exam Sub-Board Chairs

For the Department of Statistics

2023-24 Academic Year

Sub-board chairs can authorise deferral requests and extensions to deadlines for summative coursework

Sub-Board Chairs or their nominated deputy can consider extension requests for some types of summative assessment such as for example essays, dissertations, coursework etc. 

This page lists the contact details for each Sub-Board of Examiners. Please note, if you want to contact the secretaries, you can find their information below:

UG Secretary: Steve Ellis – statistics@lse.ac.uk
MSc Secretary: Sarah McManus – stats-msc@lse.ac.uk 

You should use the contact details below should you wish to apply for an extension. Alternatively, if you feel you need more time than an extension would allow or the format of assessment does not allow for an extension such as an in person or online exam, you should consider following the deferral procedure which will be considered by the Student Services Centre.

Department of Statistics UG Sub-Board Chairs

Course Code

Course Name

Programme and Chair

ST101

Programming for Data Science

Data Science:
Dr Yining Chen 

ST102

Elementary Statistical Theory

Actuarial Science:
Dr Pik Liew

ST107

Quantitative Methods

MSB:
Dr Yining Chen 

ST109

Elementary Statistical Theory I

Actuarial Science:
Dr Pik Liew 

ST110

Elementary Statistical Theory II

Actuarial Science:
Dr Pik Liew 

ST115

Managing and Visualising Data

Data Science:
Dr Yining Chen 

ST201

Statistical Models and Data Analysis

MSB:
Dr Yining Chen 

ST202

Probability, Distribution Theory and Inference

Actuarial Science:
Dr Pik Liew 

ST205

Sample Surveys and Experiments

MSB:
Dr Yining Chen 

ST206

Probability, Distribution Theory

Actuarial Science:
Dr Pik Liew 

ST207

Databases

Data Science:
Dr Yining Chen 

ST211

Applied regression

MSB:
Dr Yining Chen 

ST213

Introduction to Pricing, Hedging and Optimization

MSB:
Dr Yining Chen 

ST226

Actuarial Investigtions: Financial

Actuarial Science:
Dr Pik Liew 

ST227

Survial Models

Actuarial Science:
Dr Pik Liew 

ST300

Regression and Generalised Linear models

MSB:
Dr Yining Chen 

ST301

Actuarial Mathematics

Actuarial Science:
Dr Pik Liew 

ST302

Stochastic Processes

Actuarial Science:
Dr Pik Liew 

ST303

Stochastic Simualation

Actuarial Science:
Dr Pik Liew 

ST304

Time series and Forcasting

Actuarial Science:
Dr Pik Liew 

ST306

Actuarial Mathematics

Actuarial Science:
Dr Pik Liew 

ST307

Aspects of Market research

MSB:
Dr Yining Chen 

ST308

Bayesian Inference

Data Science:
Dr Yining Chen 

ST309

Elementary Data Analytics

Data Science:
Dr Yining Chen 

ST310

Machine Learning

Data Science:
Dr Yining Chen 

ST311

Artifical Intelligence

Data Science:
Dr Yining Chen 

ST312

Appied Stats Project

MSB:
Dr Yining Chen 

ST313

Ethics for Data Science

Data Science:
Dr Yining Chen 

ST314

Multilevel and Longitudinal Models

MSB:
Dr Yining Chen 

ST326

Financial Statistics

MSB:
Dr Yining Chen 

ST327

Market Research and Intergrated approach

MSB:
Dr Yining Chen 

ST330

Stochastic and Actuarial Methods in Finance

Actuarial Science:
Dr Pik Liew 

Department of Statistics MSc Sub-Board Chairs

Course Code

Course Name

Programme and Chair

ST405

Multivariate Methods

Statistics:
Dr Kostas Kalogeropoulos

ST409

Stochastic Processes

QMRM:
Dr Andreas Sojmark

ST411

Generalised Linear Modelling and Survival Analysis

Statistics:
Dr Kostas Kalogeropoulos

ST416

Multilevel Modelling

Statistics:
Dr Kostas Kalogeropoulos

ST422

Time Series

Statistics (Fin Stats):
Dr Tengyao Wang

ST425

Statistical Inference: Principles, Methods and Computation

Statistics:
Dr Kostas Kalogeropoulos

ST429

Statistical Methods for Risk Management

QMRM:
Dr Andreas Sojmark

ST436

Financial Statistics

Statistics (Fin Stats):
Dr Tengyao Wang

ST442

Longitudinal Data Analysis

Statistics:
Dr Kostas Kalogeropoulos

ST443

Machine Learning and Data Mining

Data Science:
Prof Zoltan Szabo

ST444

Computational Data Science

Data Science:
Prof Zoltan Szabo

ST445

Managing and Visualising Data

Data Science:
Prof Zoltan Szabo

ST446

Distributed Computing for Big Data

Data Science:
Prof Zoltan Szabo

ST447

Data Analysis and Statistical Methods

Data Science:
Prof Zoltan Szabo

ST449

Artificial Intelligence

Data Science:
Prof Zoltan Szabo

ST451

Bayesian Machine Learning

Data Science:
Prof Zoltan Szabo

ST452

Probability and Mathematical Statistics I

QMRM:
Dr Andreas Sojmark

ST453

Probability and Mathematical Statistics II

QMRM:
Dr Andreas Sojmark

ST454

Bayesian Data Analysis

Statistics:
Dr Kostas Kalogeropoulos

ST455

Reinforcement Learning

Data Science:
Prof Zoltan Szabo

ST456

Deep Learning

Data Science:
Prof Zoltan Szabo

ST457

Graph Data Analytics and Representation Learning

Data Science:
Prof Zoltan Szabo

 

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