Entry Requirements
Course duration
A minimum of an Upper Second Class
Honours degree in mathematics,
statistics, computer science or closely
related disciplines in Sciences or
Engineering from a UK university,
or an equivalent qualification from
an overseas university.
12 months full-time
Work experience is not a requirement for
entry but in cases where the candidate
does not satisfy the requirements it may
be taken into account.
Language requirements
(applies to non-native English
speakers only)
IELTS: 6.5
Toefl iBT: 92
PTE: 62
(minimum
component
scores apply)
CAE: 60+
Course coordinator
Dr. Akeel Shah,
Phone: +44 (0) 24 7652 5176
Email: Akeel.Shah@warwick.ac.uk
Study programme
- 3 core modules
- 3 optional modules
- Individual research project
(written thesis report and
oral presentation)
Assessment
A combination of written examinations,
individual assignments, group work
and an individual research project.
Fees and funding
Fees information is available on the
University of Warwick website
warwick.ac.uk/pgfees
Find out about the latest
scholarships and bursary
options at warwick.ac.uk/wcpm
Further information
wcpm.contact@warwick.ac.uk
warwick.ac.uk/wcpm/msc
Warwick Centre for Predictive Modelling
University of Warwick
Coventry CV4 7AL
Please recycle or pass to a friend.
Printed on paper from a sustainable source.
We make every effort to ensure that these course details are accurate, but accept no liability for
errors or later changes. Course and module content is continually reviewed and updated to
reflect the latest research expertise at Warwick and is therefore subject to change.
See our website for the latest information
warwick.ac.uk/wcpm
MSc Predictive Modelling
POSTGRADUATE STUDY 2016
MSc Predictive
Modelling
Optional Modules
The Predictive Modelling MSc is designed for those wishing to develop the skills
and depth of knowledge to deal with the integration of Big Data with mathematical
and statistical simulation tools in order to model and design complex systems in the
presence of uncertainties. The course will prepare you in the theory and practical
implementation of cutting-edge predictive modelling techniques, exposing you to
established and emerging applications.
(choose 3 from the list below)
- Uncertainty Quantification in Multiscale
Materials Modelling (WCPM)
- High Performance Scientific Computing
(Centre for Scientific Computing)
- Data Structures and Algorithms
(Department of Computer Science)
- Numerical Analysis and PDE’s (Warwick
Mathematics Institute)
- Monte Carlo Methods (Department of Statistics)
- Uncertainty Quantification
(Warwick Mathematics Institute)
- Statistical Mechanics of Complex Systems
(Department of Physics)
- Theoretical and Computational Chemistry
(Department of Chemistry)
- Financial Risk Management
(Warwick Business School)
- Empirical Finance (Warwick Business School)
- Big Data Analysis (Warwick Business School)
- Other topics depending on availability
and suitability
Core Modules
Fundamentals of Predictive Modelling
This module covers advanced
techniques of predictive modelling,
from probability theory and machine
learning, to data analytics and data
mining. This module will enable you to
solve complex predictive modelling
problems using advanced machine
learning techniques.
Bayesian Modelling for Engineering
and Scientific Applications
This course covers selective topics
on Bayesian scientific computing
and machine learning as it relates
to high-dimensional data-driven
engineering and scientific applications.
You will develop a deep and
comprehensive understanding of
computational statistics methods,
including Monte Carlo, exploration
of posterior distributions, model
selection and validation, regression,
classification, model reduction,
data-assimilation, learning and
decision-making under uncertainty.
www.warwick.ac.uk/wcpm
Probabilistic Graphical Models
and Deep Learning
The module provides all essential
algorithmic developments for
modelling highly complex large-scale
problems that involve many
inter-related variables using the
Probabilistic Graphical Models (PGMs)
framework (Bayesian networks and
Markov Random Fields). In addition,
application of optimization techniques
for training deep networks in large
scale hierarchical multiscale systems
will be explored. The module will
provide you with the foundations and
working examples in various application
domains such as image processing,
systems biology, medical diagnosis,
electric grids, speech recognition,
robot navigation, materials genome
and other.
Individual Project
Students will undertake a substantive individual research project involving a
theoretical or computational investigation of a topic chosen by the student in
conjunction with an academic supervisor. This can cover fundamental aspects of
predictive modelling or be an application-driven study. Students will enjoy a great
deal of choice in selecting topics and supervisors across several departments.
Projects include mathematical and statistical challenges in predictive modelling, as
well as applications in areas of technological, economic and societal importance.
University of Warwick | MSc Predictive Modelling
MSc Predictive
Modelling
Optional Modules
The Predictive Modelling MSc is designed for those wishing to develop the skills
and depth of knowledge to deal with the integration of Big Data with mathematical
and statistical simulation tools in order to model and design complex systems in the
presence of uncertainties. The course will prepare you in the theory and practical
implementation of cutting-edge predictive modelling techniques, exposing you to
established and emerging applications.
(choose 3 from the list below)
- Uncertainty Quantification in Multiscale
Materials Modelling (WCPM)
- High Performance Scientific Computing
(Centre for Scientific Computing)
- Data Structures and Algorithms
(Department of Computer Science)
- Numerical Analysis and PDE’s (Warwick
Mathematics Institute)
- Monte Carlo Methods (Department of Statistics)
- Uncertainty Quantification
(Warwick Mathematics Institute)
- Statistical Mechanics of Complex Systems
(Department of Physics)
- Theoretical and Computational Chemistry
(Department of Chemistry)
- Financial Risk Management
(Warwick Business School)
- Empirical Finance (Warwick Business School)
- Big Data Analysis (Warwick Business School)
- Other topics depending on availability
and suitability
Core Modules
Fundamentals of Predictive Modelling
This module covers advanced
techniques of predictive modelling,
from probability theory and machine
learning, to data analytics and data
mining. This module will enable you to
solve complex predictive modelling
problems using advanced machine
learning techniques.
Bayesian Modelling for Engineering
and Scientific Applications
This course covers selective topics
on Bayesian scientific computing
and machine learning as it relates
to high-dimensional data-driven
engineering and scientific applications.
You will develop a deep and
comprehensive understanding of
computational statistics methods,
including Monte Carlo, exploration
of posterior distributions, model
selection and validation, regression,
classification, model reduction,
data-assimilation, learning and
decision-making under uncertainty.
www.warwick.ac.uk/wcpm
Probabilistic Graphical Models
and Deep Learning
The module provides all essential
algorithmic developments for
modelling highly complex large-scale
problems that involve many
inter-related variables using the
Probabilistic Graphical Models (PGMs)
framework (Bayesian networks and
Markov Random Fields). In addition,
application of optimization techniques
for training deep networks in large
scale hierarchical multiscale systems
will be explored. The module will
provide you with the foundations and
working examples in various application
domains such as image processing,
systems biology, medical diagnosis,
electric grids, speech recognition,
robot navigation, materials genome
and other.
Individual Project
Students will undertake a substantive individual research project involving a
theoretical or computational investigation of a topic chosen by the student in
conjunction with an academic supervisor. This can cover fundamental aspects of
predictive modelling or be an application-driven study. Students will enjoy a great
deal of choice in selecting topics and supervisors across several departments.
Projects include mathematical and statistical challenges in predictive modelling, as
well as applications in areas of technological, economic and societal importance.
University of Warwick | MSc Predictive Modelling
Entry Requirements
Course duration
A minimum of an Upper Second Class
Honours degree in mathematics,
statistics, computer science or closely
related disciplines in Sciences or
Engineering from a UK university,
or an equivalent qualification from
an overseas university.
12 months full-time
Work experience is not a requirement for
entry but in cases where the candidate
does not satisfy the requirements it may
be taken into account.
Language requirements
(applies to non-native English
speakers only)
IELTS: 6.5
Toefl iBT: 92
PTE: 62
(minimum
component
scores apply)
CAE: 60+
Course coordinator
Dr. Akeel Shah,
Phone: +44 (0) 24 7652 5176
Email: Akeel.Shah@warwick.ac.uk
Study programme
- 3 core modules
- 3 optional modules
- Individual research project
(written thesis report and
oral presentation)
Assessment
A combination of written examinations,
individual assignments, group work
and an individual research project.
Fees and funding
Fees information is available on the
University of Warwick website
warwick.ac.uk/pgfees
Find out about the latest
scholarships and bursary
options at warwick.ac.uk/wcpm
Further information
wcpm.contact@warwick.ac.uk
warwick.ac.uk/wcpm/msc
Warwick Centre for Predictive Modelling
University of Warwick
Coventry CV4 7AL
Please recycle or pass to a friend.
Printed on paper from a sustainable source.
We make every effort to ensure that these course details are accurate, but accept no liability for
errors or later changes. Course and module content is continually reviewed and updated to
reflect the latest research expertise at Warwick and is therefore subject to change.
See our website for the latest information
warwick.ac.uk/wcpm
MSc Predictive Modelling
POSTGRADUATE STUDY 2016