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This full time 12 month intensive programme is designed to provide advanced specialised training for earth science graduates, leading to excellent employment opportunities in the extractive industry. Read more
This full time 12 month intensive programme is designed to provide advanced specialised training for earth science graduates, leading to excellent employment opportunities in the extractive industry. It is suitable for those who already have an honours degree in geology, mining/minerals engineering or a related subject.

You will attain a comprehensive understanding of the role of a geoscientist working in the mining industry. New skills include underground geological and geotechnical mapping, surveying, mineral exploration, ore microscopy, ore deposit modelling and mine planning. In-depth coverage of mineral resource estimation and grade control, mineral extraction and management, mining law and the environmental impact of mining, enable skills in quantifying the economic value of an ore body and assessing its potential for exploitation to be attained. There is emphasis on acquiring knowledge of the geological characteristics and genesis, methods of exploration, extraction and processing techniques of the major types of metalliferous ore deposit, bulk commodities and industrial minerals.

Taught modules are presented over two semesters and individual projects are undertaken throughout the summer vacation, often as industrial placements with a mining/exploration company. Recent projects have been carried out in all major mining countries on six continents, including Australia, Tanzania, Mongolia, Chile as well as in the UK.

Programme Structure

You will study 180 credits to obtain an MSc and 120 credits for a PgDip

Compulsory modules

The compulsory modules can include; Research Project and Dissertation; Resource Estimation; Ore Deposit Geology and Industrial Minerals; Techniques in Mining Geology ; Excavation and Geomechanics ; Economics, Processing & Environment

Optional modules

Some examples of the optional modules are; Advanced Techniques for Mineral Analysis and Mine Wastes: Principles, Monitoring and Remediation.

The modules listed here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand

Learning and teaching

Formal teaching ends in late April/May with a field excursion to examine the geology and visit mines in an area of the world famous for its mining activity. Extensive use is made of Camborne School of Mines' underground mine facilities, laboratories, mineral processing pilot plant, and the superb field geology and extractive industry operations in South West England.

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This programme will provide you with the necessary training and skills to undertake professional employment in the civil, environmental, engineering geology, geotechnical engineering and mining-related industries. Read more
This programme will provide you with the necessary training and skills to undertake professional employment in the civil, environmental, engineering geology, geotechnical engineering and mining-related industries. It also provides specialist knowledge in tunnel, surface and underground excavation design, and applied hydrogeology and risk assessment.

Taught modules take place at the Camborne School of Mines(CSM) over two semesters and individual projects are undertaken throughout the summer, often as industrial placements. The programme is suitable for geology and engineering graduates wishing to specialise in applied geotechnics.

This degree is professionally accredited under licence from the Engineering Council, as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng (Hons) undergraduate first degree.

Programme Structure

You can either study the course full time over a year or part-time over 3 years.

Compulsory modules

The compulsory modules can include; Project and Dissertation; Excavation and Geomechanics; Health and Safety in the Extractive Industry and Project Management

Optional modules

Some examples of the optional modules are; Resource Estimation; Economics, Processing & Environment; Hydrogeology; Surface Excavation Design; Tunnelling and Underground Excavation; Production and Cost Estimation; Mine Planning and Design; Geomechanics Computer Modelling for Excavation Design and Soil and Water Contamination.

The modules listed here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand

Learning and teaching

The taught part of the programme is structured into two terms. Field visits and practical field-based assignments are used, where appropriate, to emphasise key areas within each module.

The project is undertaken from June to September, after the second semester examinations. You are encouraged to undertake projects directly linked with industry, which may result in industrial placements for the project period. The projects are normally design-based and allow further specialisation in a topic that is of particular interest to you. This could involve the use of state-of-the-art engineering design software, risk and hazard analysis and other analytical techniques.

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The programme provides specialist analytical, design and management skills. The MSc provides skill enhancement for engineers and geologists already employed in the mining, minerals, quarrying and civil engineering industries. Read more
The programme provides specialist analytical, design and management skills. The MSc provides skill enhancement for engineers and geologists already employed in the mining, minerals, quarrying and civil engineering industries. It is also suitable for geology and engineering graduates wishing to specialise in either of the following main study areas: mine and general management; excavation (geotechnics and tunnelling).

Taught modules take place at the Camborne School of Mines; projects are often company-based.

This degree is professionally accredited under licence from the Engineering Council, as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng (Hons) undergraduate first degree.

Programme Structure

You can either study the course full time over a year or part-time over 3 years.

Compulsory modules

The compulsory modules can include; Project and Dissertation; Excavation and Geomechanics; Health and Safety in the Extractive Industry; Economics, Processing & Environment and Project Management

Optional modules

Some examples of the optional modules are; Surface Excavation Design; Resource Estimation; Tunnelling and Underground Excavation; Production and Cost Estimation; Mine Planning and Design; Geomechanics Computer Modelling for Excavation Design and Soil and Water Contamination.

The modules listed here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. For up to date information please see the website at http://www.exeter.ac.uk/postgraduate/taught/mining-engineering/msc-mining-engineering/#Programme-structure

Learning and teaching

The taught part of the programme is structured into two terms. Field visits and practical field-based assignments are used, where appropriate, to emphasise key areas within each module.

For the award of the Masters (MSc), you must pass four modules and complete a project and dissertation. To obtain a Postgraduate Diploma (PgDip), you must pass two modules and a project with dissertation.
Students are encouraged to undertake projects directly linked with industry, which may result in industrial placements for their project period.

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MSc Financial Econometrics combines a practical approach to finance with a strong theoretical approach in econometrics, and is taught jointly between our Department of Economics and Essex Business School. Read more
MSc Financial Econometrics combines a practical approach to finance with a strong theoretical approach in econometrics, and is taught jointly between our Department of Economics and Essex Business School. This mix of approaches means that you graduate from our course as someone who is very attractive to a variety of financial institutions, from insurance companies to central banks.

You develop a solid theoretical grounding in econometrics which complements the modules taught by Essex Business School; this structure gives you the opportunity to develop your skills in econometrics and apply them practically in a finance environment. You investigate topics including:
-Asset pricing theories and empirical findings
-Methods of estimation
-Modern econometric techniques
-Time series econometrics

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Within Essex Business School, you are taught by a highly qualified, enthusiastic team with wide-ranging research interests and proven academic track record.

Our staff specialise in areas including: accounting and economic development in the public and third sectors; regulation and corporate social responsibility; finance and banking; accounting and finance in developing economies; and contemporary financial markets and their participants.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Our landmark new Essex Business School building on our Colchester Campus is the first zero carbon business school in the UK. Set around a lush winter garden, the Eden-style dome gives the building its own micro-climate. Our new building provides you with a stunning new work environment, offering:
-A virtual trading floor with Bloomberg Terminals offering direct use of Bloomberg data, information and analytics
-A light and spacious lecture theatre, with seating for 250 students
-Study pods and innovation booths for group working
-Dedicated office space for student entrepreneurs
-Networking opportunities with visiting businesses
-A café with an adjacent sun terrace

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

Our MSc Financial Econometrics will help you to develop a range of skills that will make you highly employable. These include modelling skills, statistical analysis, research skills and developing an understanding of asset pricing and financial markets.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Time Series Econometrics
-Estimation and Inference in Econometrics
-Dissertation (optional)
-Asset Pricing
-Financial Modelling
-MSc Finance and Investment: Dissertation (optional)
-Econometric Methods (optional)
-Mathematical Methods (optional)
-Monetary Economics (optional)
-Economic Development Theory (optional)
-Microeconomics (optional)
-Macroeconomics (optional)
-Political Economy (optional)
-Banking (optional)
-Economics of Financial Markets (optional)
-Topics in Financial Economics (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Behavioural Economics II: Games and Markets (optional)
-Theory of Industrial Organisation (optional)
-International Trade (optional)
-International Finance (optional)
-Game Theory and Applications (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Microeconometrics (optional)
-Panel Data Methods (optional)
-Applications of Data Analysis (optional)
-Corporate Finance (optional)
-Derivative Securities (optional)
-Portfolio Management (optional)
-Exchange Rates and International Finance (optional)
-Behavioural Finance (optional)
-Risk Management (optional)
-Fixed Income Securities (optional)
-Trading Global Financial Markets (optional)
-Modern Banking (optional)
-Bank Strategy and Risk (optional)
-Industry Expert Lectures in Finance (optional)

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Programme structure. The programme offers four "core" modules, taken by all students, along with a variety of elective modules from which students can pick and choose. Read more
Programme structure
The programme offers four "core" modules, taken by all students, along with a variety of elective modules from which students can pick and choose. There are examinations and coursework in eight modules altogether, including the four core modules. Additionally, all students complete a dissertation.

Core modules
0.Probability and stochastics. This course provides the basics of the probabilistic ideas and mathematical language needed to fully appreciate the modern mathematical theory of finance and its applications. Topics include: measurable spaces, sigma-algebras, filtrations, probability spaces, martingales, continuous-time stochastic processes, Poisson processes, Brownian motion, stochastic integration, Ito calculus, log-normal processes, stochastic differential equations, the Ornstein-Uhlenbeck process.


0.Financial markets. This course is designed to cover basic ideas about financial markets, including market terminology and conventions. Topics include: theory of interest, present value, future value, fixed-income securities, term structure of interest rates, elements of probability theory, mean-variance portfolio theory, the Markowitz model, capital asset pricing model (CAPM), portfolio performance, risk and utility, portfolio choice theorem, risk-neutral pricing, derivatives pricing theory, Cox-Ross-Rubinstein formula for option pricing.


0.Option pricing theory. The key ideas leading to the valuation of options and other important derivatives will be introduced. Topics include: risk-free asset, risky assets, single-period binomial model, option pricing on binomial trees, dynamical equations for price processes in continuous time, Radon-Nikodym process, equivalent martingale measures, Girsanov's theorem, change of measure, martingale representation theorem, self-financing strategy, market completeness, hedge portfolios, replication strategy, option pricing, Black-Scholes formula.


0.Financial computing I. The idea of this course is to enable students to learn how the theory of pricing and hedging can be implemented numerically. Topics include: (i) The Unix/Linux environment, C/C++ programming: types, decisions, loops, functions, arrays, pointers, strings, files, dynamic memory, preprocessor; (ii) data structures: lists and trees; (iii) introduction to parallel (multi-core, shared memory) computing: open MP constructs; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.


0.Interest rate theory. An in-depth analysis of interest-rate modelling and derivative pricing will be presented. Topics include: interest rate markets, discount bonds, the short rate, forward rates, swap rates, yields, the Vasicek model, the Hull-White model, the Heath-Jarrow-Merton formalism, the market model, bond option pricing in the Vasicek model, the positive interest framework, option and swaption pricing in the Flesaker-Hughston model.

Elective modules

0.Portfolio theory. The general theory of financial portfolio based on utility theory will be introduced in this module. Topics include: utility functions, risk aversion, the St Petersburg paradox, convex dual functions, dynamic asset pricing, expectation, forecast and valuation, portfolio optimisation under budget constraints, wealth consumption, growth versus income.


0.Information in finance with application to credit risk management. An innovative and intuitive approach to asset pricing, based on the modelling of the flow of information in financial markets, will be introduced in this module. Topics include: information-based asset pricing – a new paradigm for financial risk management; modelling frameworks for cash flows and market information; applications to credit risk modelling, defaultable discount bond dynamics, the pricing and hedging of credit-risky derivatives such as credit default swaps (CDS), asset dependencies and correlation modelling, and the origin of stochastic volatility.

0.Mathematical theory of dynamic asset pricing. Financial modelling and risk management involve not only the valuation and hedging of various assets and their positions, but also the problem of asset allocation. The traditional approach of risk-neutral valuation treats the problem of valuation and hedging, but is limited when it comes to understanding asset returns and the behaviour of asset prices in the real-world 'physical' probability measure. The pricing kernel approach, however, treats these different aspects of financial modelling in a unified and coherent manner. This module introduces in detail the techniques of pricing kernel methodologies, and its applications to interest-rete modelling, foreign exchange market, and inflation-linked products. Another application concerns the modelling of financial markets where prices admit jumps. In this case, the relation between risk, risk aversion, and return is obscured in traditional approaches, but is made clear in the pricing kernel method. The module also covers the introduction to the theory of Lévy processes for jumps and its applications to dynamic asset pricing in the modern setting.

0.Financial computing II: High performance computing. In this parallel-computing module students will learn how to harness the power of a multi-core computer and Open MP to speed up a task by running it in parallel. Topics include: shared and distributed memory concepts; Message Passing and introduction to MPI constructs; communications models, applications and pitfalls; open MP within MPI; introduction to Graphics Processors; GPU computing and the CUDA programming model; CUDA within MPI; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.


0.Risk measures, preference and portfolio choice. The idea of this module is to enable students to learn a variety of statistical techniques that will be useful in various practical applications in investment banks and hedge funds. Topics include: probability and statistical models, models for return distributions, financial time series, stationary processes, estimation of AR processes, portfolio regression, least square estimation, value-at-risk, coherent risk measures, GARCH models, non-parametric regression and splines.

Research project

Towards the end of the Spring Term, students will choose a topic to work on, which will lead to the preparation of an MSc dissertation. This can be thought of as a mini research project. The project supervisor will usually be a member of the financial mathematics group. In some cases the project may be overseen by an external supervisor based at a financial institution or another academic institution.

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The Epidemiology and Statistics module will help you become familiar with various study designs that are used in epidemiology. The module will cover the rationale for using each study design as well as the types of results produced. Read more
The Epidemiology and Statistics module will help you become familiar with various study designs that are used in epidemiology. The module will cover the rationale for using each study design as well as the types of results produced.

You will explore key statistical principles and techniques such as hypothesis testing and estimation including how to use these techniques to analyse and interpret epidemiological studies.

Module content

The module consists of two complementary parts:
Epidemiology
-Populations and considering illness in populations.
-Use of routinely available data in epidemiology.
-Measures of disease.
-Direct and indirect standardisation, years of life lost, life expectancy and DALYS.
-Absolute and relative measures of risk.
-Causality, bias and confounding.
-Study design including cross-sectional, case control, cohort, clinical trials, ecological studies.

Statistics
-The different types of data.
-Measures of central tendency and dispersion.
-Probability theory and statistical distributions.
-Point estimation and confidence intervals.
-Principles of hypothesis testing and sample size calculation.
-Linear models.
-Non-parametric tests.

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Programme structure. The programme offers five "core" modules, taken by all candidates, along with a variety of elective modules from which students can pick and choose. Read more
Programme structure

The programme offers five "core" modules, taken by all candidates, along with a variety of elective modules from which students can pick and choose. There are lectures, examinations and coursework in eight modules altogether, including the five core modules. Additionally, all students complete an individual research project on a selected topic in financial mathematics, leading to the submission of a dissertation.

Core modules

Probability and stochastics. This course provides the basics of the probabilistic ideas and mathematical language needed to fully appreciate the modern mathematical theory of finance and its applications. Topics include: measurable spaces, sigma-algebras, filtrations, probability spaces, martingales, continuous-time stochastic processes, Poisson processes, Brownian motion, stochastic integration, Ito calculus, log-normal processes, stochastic differential equations, the Ornstein-Uhlenbeck process.

Financial markets. This course is designed to cover basic ideas about financial markets, including market terminology and conventions. Topics include: theory of interest, present value, future value, fixed-income securities, term structure of interest rates, elements of probability theory, mean-variance portfolio theory, the Markowitz model, capital asset pricing model (CAPM), portfolio performance, risk and utility, portfolio choice theorem, risk-neutral pricing, derivatives pricing theory, Cox-Ross-Rubinstein formula for option pricing.

Option pricing theory. The key ideas leading to the valuation of options and other important derivatives will be introduced. Topics include: risk-free asset, risky assets, single-period binomial model, option pricing on binomial trees, dynamical equations for price processes in continuous time, Radon-Nikodym process, equivalent martingale measures, Girsanov's theorem, change of measure, martingale representation theorem, self-financing strategy, market completeness, hedge portfolios, replication strategy, option pricing, Black-Scholes formula.


Interest rate theory. An in-depth analysis of interest-rate modelling and derivative pricing will be presented. Topics include: interest rate markets, discount bonds, the short rate, forward rates, swap rates, yields, the Vasicek model, the Hull-White model, the Heath-Jarrow-Merton formalism, the market model, bond option pricing in the Vasicek model, the positive interest framework, option and swaption pricing in the Flesaker-Hughston model.

Financial computing I. The idea of this course is to enable students to learn how the theory of pricing and hedging can be implemented numerically. Topics include: (i) The Unix/Linux environment, C/C++ programming: types, decisions, loops, functions, arrays, pointers, strings, files, dynamic memory, preprocessor; (ii) data structures: lists and trees; (iii) introduction to parallel (multi-core, shared memory) computing: open MP constructs; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.

Elective modules

Portfolio theory. The general theory of financial portfolio based on utility theory will be introduced in this module. Topics include: utility functions, risk aversion, the St Petersburg paradox, convex dual functions, dynamic asset pricing, expectation, forecast and valuation, portfolio optimisation under budget constraints, wealth consumption, growth versus income.

Information in finance with application to credit risk management. An innovative and intuitive approach to asset pricing, based on the modelling of the flow of information in financial markets, will be introduced in this module. Topics include: information-based asset pricing – a new paradigm for financial risk management; modelling frameworks for cash flows and market information; applications to credit risk modelling, defaultable discount bond dynamics, the pricing and hedging of credit-risky derivatives such as credit default swaps (CDS), asset dependencies and correlation modelling, and the origin of stochastic volatility.


Mathematical theory of dynamic asset pricing. Financial modelling and risk management involve not only the valuation and hedging of various assets and their positions, but also the problem of asset allocation. The traditional approach of risk-neutral valuation treats the problem of valuation and hedging, but is limited when it comes to understanding asset returns and the behaviour of asset prices in the real-world 'physical' probability measure. The pricing kernel approach, however, treats these different aspects of financial modelling in a unified and coherent manner. This module introduces in detail the techniques of pricing kernel methodologies, and its applications to interest-rete modelling, foreign exchange market, and inflation-linked products. Another application concerns the modelling of financial markets where prices admit jumps. In this case, the relation between risk, risk aversion, and return is obscured in traditional approaches, but is made clear in the pricing kernel method. The module also covers the introduction to the theory of Lévy processes for jumps and its applications to dynamic asset pricing in the modern setting.


Financial computing II: High performance computing. In this parallel-computing module students will learn how to harness the power of a multi-core computer and Open MP to speed up a task by running it in parallel. Topics include: shared and distributed memory concepts; Message Passing and introduction to MPI constructs; communications models, applications and pitfalls; open MP within MPI; introduction to Graphics Processors; GPU computing and the CUDA programming model; CUDA within MPI; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.

Risk measures, preference and portfolio choice. The idea of this module is to enable students to learn a variety of statistical techniques that will be useful in various practical applications in investment banks and hedge funds. Topics include: probability and statistical models, models for return distributions, financial time series, stationary processes, estimation of AR processes, portfolio regression, least square estimation, value-at-risk, coherent risk measures, GARCH models, non-parametric regression and splines.

Research project

Towards the end of the Spring Term, students will choose a topic for an individual research project, which will lead to the preparation and submission of an MSc dissertation. The project supervisor will usually be a member of the Brunel financial mathematics group. In some cases the project may be overseen by an external supervisor based at a financial institution or another academic institution.

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This course provides postgraduate education in the discipline of Forensic Anthropology. This course provides intensive training in human osteology and the techniques used by Forensic Anthropologists to build osteological profiles of unknown skeletonised human remains. Read more
This course provides postgraduate education in the discipline of Forensic Anthropology. This course provides intensive training in human osteology and the techniques used by Forensic Anthropologists to build osteological profiles of unknown skeletonised human remains. The first half of the taught phase provides you with a solid foundation in the core skills of forensic science, such as crime scene examination and interpretation and presentation of evidence, using our crime scene facilities and real crime scene expertise and casework. The second half of the taught phase includes specialised modules on human osteology, and techniques of estimation of sex, age, stature and ethnic ancestry in skeletal remains, as well as distinguishing between animal and human bones. It also includes topics such as skeletal development, trauma and pathology; forensic taphonomy (decomposition and decay); and post-mortem interval estimation. The course is very practically and vocationally-focused, and provides hands-on experience of dealing with skeletonised and decomposed human (and animal) remains.

In the last third of the course, you are given the opportunity to pursue an original research project, on a topic provided by supervisors or of a relevant topic of your choice. This requires 50 days of laboratory work, and takes place in the summer term.

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Our flagship course blends theory and practice, giving you a strong grounding for a career in industry or research. This continually evolving course has been running for over 40 years and is well supported by the UK Engineering and Physical Sciences Research Council (EPSRC). Read more

About the course

Our flagship course blends theory and practice, giving you a strong grounding for a career in industry or research. This continually evolving course has been running for over 40 years and is well supported by the UK Engineering and Physical Sciences Research Council (EPSRC).

The core modules provide you with the basic skills you’ll need to become a control and systems engineer. You’ll take advanced modules in current areas of interest and complete a research-level dissertation project.

Push yourself further

We have cutting edge facilities and technology, including: advanced control
and systems software, modelling, simulation and controller design tools, robotics and a flexible manufacturing systems laboratory, evolutionary computing laboratory and clean facilities for the assembly of satellite instrumentation.

Make your mark

You could pursue a career with a large international organisation or government department. Our graduates work in sectors such as manufacturing, power generation and sustainable energy, with companies including British Airways, Jaguar Land Rover, NASA, IBM, Rolls-Royce and Unilever.

A masters from Sheffield is the mark of someone with the skills to apply their knowledge in industry, anywhere in the world. Our MSc in Advanced Control and Systems Engineering is accredited by the Engineering Council UK, IET and InstMC. These marks of assurance mean our degrees meet the high standards set by the engineering profession.

A Sheffield masters is a strong foundation for a career in industry or research.

Industry links

We have strong links with industrial partners such as Rolls-Royce and BAE Systems. Our industrial partners help us to design our courses, making sure you learn the right skills.

Rolls-Royce has a research and development centre here, using our expertise to explore today’s challenges. Our masters students often work side by side with researchers at these facilities.

A stimulating environment

The 2014 Research Excellence Framework (REF) rates us No 1 in the UK for research output, ahead of Oxford and Cambridge, and No 3 for overall research excellence. Our world-class reputation attracts highly motivated staff and students.

You’ll be taught by staff who work on real-world projects, developing new ideas – for submarines, robots, Formula One and even space exploration. Their approach to teaching is just as innovative: ideas like the award-winning take-home lab kit and e-puck mobile robotics activities help you develop the problem-solving skills you need for a trailblazing career.

Core modules

Foundations of Control Systems; State-Space, Optimal Control and Nonlinear Systems; Signal Processing and Estimation; Embedded Systems and Rapid Control Prototyping; Advanced Industrial Control; Control Systems Project and Dissertation.

Examples of optional modules

Intelligent and Vision Systems; Nonlinear and Hybrid Systems; Robotic and Autonomous Systems; Multisensor and Decision Systems.

Project work

You can use our award-winning take-home lab kits to explore core concepts at home. It supports our teaching, giving you the chance to learn by doing, when you want to, not just in classes. You’ll work on a major project of your own as part of your final assessment and there are chances to contribute to other projects throughout the course.

Teaching and assessment

You can expect a mix of lectures, tutorials, laboratory work and individual assignments. All the lectures and tutorials are for our systems and control students only. This helps you to bond with your fellow students, so you can learn from each other. You’re assessed on exams, coursework assignments and a project dissertation.

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Electronic engineering is a discipline at the forefront of advances for modern-day living and continues to push forward technological frontiers. Read more

Why take this course?

Electronic engineering is a discipline at the forefront of advances for modern-day living and continues to push forward technological frontiers.

This course provides relevant, up-to-date skills that will enhance your engineering competencies. You will broaden your knowledge of electronic engineering and strengthen your ability to apply new technologies in the design and implementation of modern systems.

What will I experience?

On this course you can:

Focus on the practical application and design aspects of electronic systems rather than intensive analytical detail
Experiment with our range of control applications including helicopter development kits and walking robots
Access a wide range of powerful and modern multimedia computational facilities, with the latest industry software installed

What opportunities might it lead to?

This course has been accredited by the Institution of Engineering and Technology (IET) and meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). It will provide you with some of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

Here are some routes our graduates have pursued:

Professional electronics
Design
Research and development
Product manufacture
Project management

Module Details

You will study several key topics and complete a four-month individual project in which you apply your knowledge to a significant, in-depth piece of analysis or design. Projects are tailored to your individual interests and may take place in our own laboratories or, by agreement, in industry.

Here are the units you will study:

VHDL and Digital Systems Design: This unit covers the use of a hardware description language (VHDL) to capture and model the design requirement - whilst programmable logic devices enable an implementation to be explored and tested prior to moving into manufacture. The learning will have a practical bias such that experience as well as theory is gained in completing this unit.

Advanced DSP Techniques: This unit aims to introduce you to the fundamentals of statistical signal processing, with particular emphasis upon classical and modern estimation theory, parametric and nonparametric modelling, time series analysis, least squares methods, and basics of adaptive signal processing.

Mixed Signal Processors: This unit focuses on both control and signal processing hardware, how it works, how to interface to it, and software - how to design it and debug it.

Sensors and Measurement Systems: This unit proposes to introduce you to the technologies underpinning measurements including sensors both in terms of hardware and software. It also aims to provide you with an opportunity to apply classroom knowledge in a practical setting and gain an appreciation of modern day requirements in terms of measurement.

Microwave and Wireless Technology: The unit combines team working via a project based learning activity relating to a significant circuit simulation and design problem with lectures aimed at analysing and applying the characteristics of a range of devices used in the microwave and wireless industries.

Communication System Analysis: This unit focuses on basic principles in the analysis and design of modern communication systems, the workhorses behind the information age. It puts emphasis on the treatment of analogue communications as the necessary background for understanding digital communications.

Programme Assessment

You will be taught through a mixture of lectures, seminars, tutorials (personal and academic), laboratory sessions and project work. The course has a strong practical emphasis and you will spend a significant amount of time in our electronic, communications and computer laboratories.

A range of assessment methods encourages a deeper understanding of engineering and allows you to develop your skills. Here’s how we assess your work:

Written examinations
Coursework
Laboratory-based project work
A major individual project/dissertation

Student Destinations

This course is designed to respond to a growing skills shortage of people with core knowledge in advanced electronic engineering. It is an excellent preparation for a successful career in this ever expanding and dynamic field of modern electronics.

On successful completion of the course, you will have gained the skills and knowledge that will make you attractive to a wide variety of employers with interests ranging from overall system design to the more detailed development of subsystems.

Roles our graduates have taken on include:

Electronics engineer
Product design engineer
Aerospace engineer
Application engineer

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Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics?. Read more
Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics?

Our popular course emphasises the foundations of econometrics and its application to a wide range of topics in economics. You explore topics including:
-The statistical foundations for a variety of estimating methods
-Ways of testing economic hypotheses
-The classical linear regression model
-The use of asymptotic methods in econometrics
-The analysis of stock markets and other financial data

We are top 5 in the UK for research, with over 90% of our research rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

On our course you will develop key employability skills including statistical analysis, mathematical techniques, research, analytical reasoning and modelling.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation
-Microeconomics
-Macroeconomics
-Time Series Econometrics
-Estimation and Inference in Econometrics
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Game Theory and Applications (optional)
-International Finance (optional)
-International Trade (optional)
-Mathematical Methods (optional)
-Microeconometrics (optional)
-Monetary Economics (optional)
-Panel Data Methods (optional)
-Political Economy (optional)
-Theory of Industrial Organisation (optional)
-Topics in Financial Economics (optional)
-Banking (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Behavioural Economics II: Games and Markets (optional)
-Applications of Data Analysis (optional)

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Our specialised MSc Financial Economics and Econometrics includes in-depth theoretical and applied aspects of econometrics to complement subjects in financial markets and corporate finance. Read more
Our specialised MSc Financial Economics and Econometrics includes in-depth theoretical and applied aspects of econometrics to complement subjects in financial markets and corporate finance.

Our course equips you with the right combination of skills for rigorous analysis to underpin high-level policy advice or decision making in the fast moving financial sector. You master mathematical techniques and statistical analysis, and acquire a deep knowledge of how financial markets work and how to analyse them.

You investigate topics including:
-The theoretical foundations of econometrics
-The analysis of financial market data
-The economics of financial markets

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

With the skills and knowledge you acquire from studying within our Department of Economics, you will be in demand from a wide range of employers. We have excellent links with the research community, both in the UK and worldwide, and strong ties with the business/consultancy world, especially in London and other major financial centres.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation
-Economics of Financial Markets
-Estimation and Inference in Econometrics
-Time Series Econometrics
-Topics in Financial Economics
-Economic Development Theory (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Game Theory and Applications (optional)
-International Finance (optional)
-International Trade (optional)
-Macroeconomics (optional)
-Mathematical Methods (optional)
-Microeconomics (optional)
-Microeconometrics (optional)
-Monetary Economics (optional)
-Panel Data Methods (optional)
-Political Economy (optional)
-Theory of Industrial Organisation (optional)
-Applications of Data Analysis (optional)
-Banking (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Behavioural Economics II: Games and Markets (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)

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Would you like to develop expertise in theoretical and applied issues of international economic relations?. Our MSc International Economics gives you this knowledge, plus a critical awareness of the integration of theory, data, and analysis in relation to international economics. Read more
Would you like to develop expertise in theoretical and applied issues of international economic relations?

Our MSc International Economics gives you this knowledge, plus a critical awareness of the integration of theory, data, and analysis in relation to international economics. You are equipped with the skills for a career in international organisations engaged in business and finance, or in government and non-governmental organisations concerned with global development and international trade.

Your modules provide you with an overview of the causes and effects of globalisation in the world economy with applications to issues such as foreign direct investment. You investigate topics such as:
-Trade theory in different economic settings with different market structures
-Patterns of trade and trade policies such as tariffs and quotas
-Preferential trade agreements
-Macroeconomic adjustment, exchange rates and the balance of payments when capital markets are integrated across the globe

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Economic policy

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree –many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

On our course you gain key employability skills including statistical analysis, mathematical techniques, research skills and a good understanding of the international system. Recent graduates of MSc International Economics have found employment as a consultant for the World Bank and as a climate change economist for HM Treasury.

More generally, our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation
-Econometric Methods
-International Finance
-International Trade
-Mathematical Methods
-Applications of Data Analysis (optional)
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Economics of the European Union (optional)
-Economics of Transition (optional)
-Environmental Economics (optional)
-Estimation and Inference in Econometrics (optional)
-Game Theory and Applications (optional)
-Macroeconomics (optional)
-Market Structure and Strategic Behaviour (optional)
-Microeconometrics
-Microeconomics (optional)
-Panel Data Methods (optional)
-Political Economy
-Theory of Industrial Organisation (optional)
-Time Series Econometrics (optional)
-Topics in Financial Economics (optional)

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Over the last three decades, political economy has been one of the fastest growing approaches in the social sciences. At Essex, we are primarily interested in the scientific study of political institutions and how they might determine economic variables. Read more
Over the last three decades, political economy has been one of the fastest growing approaches in the social sciences. At Essex, we are primarily interested in the scientific study of political institutions and how they might determine economic variables.

If you are interested in how institutions shape the behaviour of political actors and how political decisions influence markets and vice versa, then you will profit from our course.

You will have a great deal of choice for your optional modules as they will be selected from both our Department of Government and Department of Economics. Our MSc Political Economy covers all aspects of modern political economy, including:
-Market failure
-Environmental policies
-The quality of governance
-Monetary policy choices

Our Department of Government is one of the most prestigious in Europe, with an outstanding record of teaching, research and publication. We are rated top in the UK for research (REF 2014), and have consistently been the highest-rated politics department in the country since national assessments began.

Our Department of Economics is also consistently rated highly for student satisfaction, and is Top 5 in the UK for research with over 90% rated as ‘world-leading’ or ‘internationally excellent’ (REF 2014).

Our expert staff

Study and work alongside some of the most prominent economists and political scientists of our time.

Our researchers are at the forefront of their field and have even received MBEs; they are advising the CIA on counter-terrorism, training politicians and civil servants in democratising countries, and commentating on political events in national and international media.

Many of our economic researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Our key academic staff for this course are Dr Alejandro Quiroz Flores, who works on why authoritarian leaders welcome natural disasters, and Simone Dietrich, who works on who gives, receives, and benefits from aid.

You join an active and prolific research team, with the opportunity to work alongside a member of staff on their research instead of completing a dissertation; some of these projects have even resulted in joint staff/student publications.

Specialist facilities

-Laboratories of networked computers featuring extensive software for political and quantitative analysis
-ESSEXLab provides opportunities for experimental lab research
-Student societies for politics, economics, debating, and Model UN
-We organise the Essex Summer School in Social Science Data Analysis
-A programme of seminars and events run by the department

Your future

All Essex politics graduates have the distinction of a qualification from one of the world’s leading politics departments.

This course is a good choice if you wish to maintain the flexibility of pursuing a career at an international organisation, a government organisation, a private enterprise or as a political consultant. You will develop key employability skills including analytical reasoning, research, problem solving, and essay-writing.

Recent graduates have gone on to work for the following high-profile organisations:
-The Civil Service
-Local government
-The World Bank
-The United Nations
-NATO
-YouGov and YouGov America

We also offer supervision for PhD and MPhil in the following fields: government; ideology and discourse analysis; international relations; political behaviour; and politics.

Our academic reputation is illustrated by the fact that many of our graduates now teach or research at universities, colleges of higher education and schools. For example, recent graduates are now research fellows and academic staff at: Mannheim, Germany; ETH Zurich, Switzerland; Duke University, USA; NATO/SHAPE, Belgium; and University of Amsterdam, Netherlands.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MA Dissertation
-Advanced Research Methods
-Political Economy
-Applications of Data Analysis (optional)
-Banking
-Behavioural Economics I: Individual Decision Making (optional)
-Behavioural Economics II: Games and Markets (optional)
-Comparative European Politics (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design
-Conflict Resolution (optional)
-Contemporary Theories of Justice (optional)
-Econometric Methods (optional)
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Economics of the European Union (optional)
-Economics of Transition (optional)
-Environmental Economics (optional)
-Estimation and Inference in Econometrics (optional)
-Game Theory and Applications (optional)
-Ideology and Political Discourse (optional)
-Environmental Politics (optional)
-International Finance (optional)
-International Security Studies (optional)
-International Trade (optional)
-Macroeconomics (optional)
-Market Structure and Strategic Behaviour (optional)
-Mathematical Methods (optional)
-Microeconometrics (optional)
-Microeconomics (optional)
-Monetary Economics
-Panel Data Methods (optional)
-Political Economy (optional)
-Political Explanation (optional)
-Political Parties in Britain and Europe (optional)
-Political Theory (optional)
-Public Opinion and Political Behaviour (optional)
-Research Design (optional)
-Research Seminar in Political Theory and Methods (optional)
-Survey Measurement and Question Design
-Theories of International Relations (optional)
-Theory and Explanation in Political Science (optional)
-Theory of Industrial Organisation (optional)
-Time Series Econometrics (optional)
-Topics in Financial Economics (optional)

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How can different kinds of data inform us on economic issues? On this course you learn how economic data analysis can address practical problems within business, accounting, and development. Read more
How can different kinds of data inform us on economic issues? On this course you learn how economic data analysis can address practical problems within business, accounting, and development.

Our MSc Applied Economics and Data Analysis is run jointly between our Department of Economics and our Institute for Social and Economic Research (ISER), which specialises in the analysis of household and labour market data.

On our course you will be provided the tools for analysing and implementing some of the models that are present in theory modules. You study data-orientated, applied modules, exploring topics including:
-Techniques used in the analysis of panel data
-The specification of models and the tests of their validity
-Methods for analysing persistence over time in economic variables
-Handling different types of datasets,
-Survey methodology and sampling frames, and how to deal with problems of response rates and attrition

We are top 5 in the UK for research, with over 90% of our research rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK. This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

For a full list of research interests, see our Department’s staff pages.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

You will develop key employability skills including analytical reasoning, mathematical techniques, model building and data analysis.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example Structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

MSc Applied Economics and Data Analysis
-Dissertation
-Applications of Data Analysis
-Mathematical Methods
-Microeconomics
-Panel Data Methods
-Banking (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Behavioural Economics II: Games and Markets (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Econometric Methods (optional)
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Estimation and Inference in Econometrics (optional)
-Game Theory and Applications (optional)
-International Finance (optional)
-International Trade (optional)
-Macroeconomics (optional)
-Monetary Economics (optional)
-Political Economy (optional)
-Theory of Industrial Organisation (optional)
-Time Series Econometrics (optional)
-Topics in Financial Economics (optional)
-Economics of Incentives, Contracts and the Firm (optional)

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