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Masters Degrees (Statistics And Econometrics)

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This programme is both technical and pragmatic. You will acquire the ability to integrate state-of-the-art knowledge of statistics and optimisation to address, analyse and provide a rational appraisal of a given problem in different professional contexts. Read more
This programme is both technical and pragmatic. You will acquire the ability to integrate state-of-the-art knowledge of statistics and optimisation to address, analyse and provide a rational appraisal of a given problem in different professional contexts. This is a multidisciplinary field that involves the study of mathematical optimisation techniques, operational research methods, programming and statistics with their applications to economics, finance, medicine, industrial management, natural sciences and others. The programme produces highly qualified students in statistics, operations research and econometrics with applications to economics and business management. The programme provides ideal preparation for a career in economics, health care, finance, banking, insurance, actuarial science, business management, governmental or academic institutions.

In the recent years, mathematical optimization and statistics have experienced significant new developments. With these developments, the system engineering, information science, signal and image processing, statistical error correction and cryptography are being revolutionised.

This has created urgent need, in both academic research and in practical implementation, for a new generation of mathematicians trained to work at the frontiers of mathematical optimization, statistics and their applications to engineering, healthcare, finance and economics.

Researchers at the University of Birmingham have recently shown how the modern optimization and statistical methods are successfully applied to engineering design, financial and economical data analysis, meta-analysis, economic equilibrium, network communication, and combinatorial optimization.

About the School of Mathematics

The School of Mathematics is one of seven schools in the College of Engineering and Physical Sciences. The school is situated in the Watson Building on the main Edgbaston campus of the University of Birmingham. There are about 50 academic staff, 15 research staff, 10 support staff, 60 postgraduate students and 600 undergraduate students.
At the School of Mathematics we take the personal development and careers planning of our students very seriously. Jointly with the University of Birmingham's Careers Network we have developed a structured programme to support maths students with their career planning from when they arrive to when they graduate and beyond.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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About the MSc programme. The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance. Read more

About the MSc programme

The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance.

It provides high-level training in statistics with applications in finance and econometrics. You will learn to analyse and critically interpret data, build statistical models of real situations, and use statistical software packages. 

The compulsory courses consolidate your understanding of fundamental ideas in probability and statistics and introduce advanced topics. You can choose options to focus on statistics with applications in social science or in finance and econometrics. 

Graduates of the programme are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society if a specific combination of modules is taken. 

Research Stream

The research stream is similar to the nine-month programme but involves a compulsory dissertation which replaces one unit's worth of optional courses and extends the length of the programme to 12 months.

Graduate destinations

The programme provides excellent opportunities for employment and further study. The programme is also conditionally accredited by the Royal Statistical Society. This means that although an accreditation is given, it will only lead to the award of ‘Graduate Statistician’ if you take a specific combination of modules.

Further information on graduate destinations for this programme



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The MSc Social Statistics (Statistics pathway) serves to meet the research training needs of postgraduate researchers in social statistics methodology. Read more

The MSc Social Statistics (Statistics pathway) serves to meet the research training needs of postgraduate researchers in social statistics methodology. It also provides vocational training for professional social statisticians. It is expected that you will have the equivalent of at least a second-class honours degree with a substantial statistical theory component, for example in statistics, mathematics or econometrics.

Introducing your course

Do you enjoy using numbers and data to provide answers to current problems? Apply for the Masters in Social Statistics (Statistics Pathway) degree and enhance your knowledge of statistics. The masters course at the University of Southampton will teach you how to analyse and understanding statistical methodology. The Masters in Social Statistics (Statistics Pathway) can open to the door to a career as an experienced statistician in a wide range of sectors such as government, medicine, social research and data analytics in the private sector.

Overview

This programme provides postgraduate instruction in the theory and methods of social statistics for students whose interests lie in the collection and analysis of quantitative social science data.

View the programme specification document for this course



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Gain a thorough grounding in applied and theoretical econometrics. The public and private sectors are gaining an increasing awareness of the value of quantitative skills to assess and use evidence from large amounts of data, making econometricians highly sought after. Read more
Gain a thorough grounding in applied and theoretical econometrics.

Overview

The public and private sectors are gaining an increasing awareness of the value of quantitative skills to assess and use evidence from large amounts of data, making econometricians highly sought after. Our MSc in Econometrics and Economics will provide you with the essential skills that you need to follow a professional career, or to pursue further research, in applied and theoretical econometrics. The Masters is aimed at those with a prior knowledge of economics and econometrics, and/or mathematics and statistics.

You'll follow a core course in advanced economic and econometric theory. The modules are taught by world-leading experts in areas of economic theory, microeconometrics, panel data analysis, time series, spatial econometrics and nonparametric methods. Applied econometrics modules will equip you with state-of-the-art data analysis skills. You'll also develop your skills in analysing economic and financial data, and using econometric software widely employed by the leading researchers in the world.

Course Content

To achieve an MSc in Econometrics and Economics you'll complete modules to the value of 180 credits. This includes 90 credits from the core taught modules, 10 credits from the optional taught modules, and an 80 credit dissertation.

Modules
For the Masters you will need to take 100 credits of taught modules. There are seven compulsory core modules which amount to 90 of these credits:
-Advanced Microeconomics (20 credits)
-Advanced Macroeconomics (10 credits)
-International Macroeconomics (10 credits)
-Econometric Methods for Research (20 credits)
-Applied Microeconometrics (10 credits)
-Time Series (10 credits)
-Either Project or Topics in Financial Econometrics (10 credits)

In addition, you'll choose one 10 credit option from:
-Design and Analysis of Mechanisms and Institutions (10 credits)
-Development Economics: Theory and Evidence (10 credits)
-Emerging Market Macroeconomics (10 credits)
-Experimental Economics (10 credits)
-Industrial Economics (10 credits)
-Labour Economics (10 credits)
-Project (10 credits)
-Public Finance (10 credits)
-Public Sector Economics: Microeconomic Applications (10 credits)
-Topics in Financial Econometrics (10 credits)

You'll complete a piece of independent research carried out over three months of the summer, guided by a supervisor. The dissertation, of up to 10,000 words, is worth 80 credits and offers you the chance to examine a topic in depth and to develop your academic research skills.

The Department of Economics and Related Studies was ranked eighth in the UK for the impact of its research in the 2014 Research Excellence Framework.

Since its foundation, members of the Department have made pioneering contributions in econometrics, as well as in public economics, health economics, macroeconomics and finance, experimental economics, economic theory, and economic history. York is one of only three UK institutions to receive five stars from the Centre of Higher Education Development for postgraduate economics.

Careers

The Masters will act as a springboard to a professional career in applied economics and econometrics. It is also an ideal preparation for a PhD. Research shows that around 80 per cent of our department's MSc graduates go on to economics related careers.

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Using data science to retrieve hidden information. The need for quantitative support for operational and strategic decisions is ever-increasing. Read more

Using data science to retrieve hidden information

The need for quantitative support for operational and strategic decisions is ever-increasing. Do you want to help businesses understand their customers better and make smarter decisions? Are maths, statistics and econometrics your forte? Do data science and the use of advanced methods appeal to you? The Business Analytics and Quantitative Marketing programme focuses on the most creative side of data science: converting big data into knowledge, finding opportunities and predicting behaviour.

This challenging programme teaches you how to solve business problems from an econometric point of view, perform quantitative research by using and further developing state-of-the-art data-analysis methods and translate findings into actionable advice.

How many reasons do you need?

At Erasmus School of Economics we are leaders in quantitative research and renowned for our high-quality practice-based teaching methods. Add this to our close ties to the business world and our many successful alumni in the field… and you know why Rotterdam is where you want to specialise in Business Analytics and Quantitative Marketing.

Careers

Solid (management) decisions in business and marketing increasingly depend on quantitative analysis. Not surprisingly, business analysts are in high demand. For the first step in their careers our alumni found jobs as a (marketing) researcher or data scientist at organisations like:

  • ACNielsen, GfK, KPN, Unilever and Bol.com
  • smaller specialised consultancy firms
  • financial institutions like banks or insurance companies
  • academia

Such a position is also excellent stepping stone for a senior research or management position at similar corporations and institutions.

 

"Obtaining relevant information from very large and complex datasets to support accurate decision-making gives me a kick"

Are statistics and econometrics your thing? Would you like to dig deep, retrieve hidden information with state-of-the art techniques and contribute to sound decision-making? Our students share your interests. See how you match.

Download the brochure here.



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Statistics is one of the most important fields of study in the world. The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society. Read more
Statistics is one of the most important fields of study in the world. The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society. If you are a logical person and enjoy solving problems, statistics at Essex is for you.

Our Department of Mathematical Sciences embraces pure mathematics, applied mathematics and statistics, and operational research, and our course offers you the opportunity to study statistics alongside other mathematical subjects.

Providing a balance of solid statistical theory and practical application, this course builds your knowledge in all areas of statistics, data analysis and probability. You also have the opportunity to specialise, taking optional modules in topics including:
-Survey methodology
-Operations research
-Applied mathematics
-Computer science

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our department has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

Working in industries such as health, business, social care and finance, graduates are consistently in demand, working on projects such as efficacy of social policy, comparable data of cardiac rehabilitation and manipulation of raw data for academic research.

Our Masters graduates have progressed into careers in banking and finance, actuarial sciences, biological sciences, market research and statistics, management and consultancy etc.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Modelling Experimental Data
-Statistical Methods
-Stochastic Processes
-Applied Statistics
-Bayesian Computational Statistics
-Research Methods
-Dissertation
-Nonlinear Programming (optional)
-Financial Modelling (optional)
-Research Methods in Finance: Empirical Methods in Finance (optional)
-Machine Learning and Data Mining (optional)
-Cloud Technologies and Systems (optional)
-Time Series Econometrics (optional)
-Panel Data Methods (optional)
-Topics in Contemporary Social Theory (optional)
-Introduction to Survey Design and Management (optional)
-Applied Sampling (optional)

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Specialised statistical methods are hugely important in dealing with particular problems of economic data. Read more
Specialised statistical methods are hugely important in dealing with particular problems of economic data. For instance, time series econometrics provides methods for analysing the dynamic processes that are often found in macroeconomics, while other techniques are required for analysing the stock market and other financial data.

Econometrics can be described as the application of statistics in an economic context so this course will interest you if your first degree included some training in both statistics and economics.

You study topics including:
-Methods of linear regression and hypothesis testing
-Bayesian statistical modelling and methods
-Actuarial modelling and time series models
-Applied statistics
-Game theory

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

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

This course can also be studied to a PGDip level - for more information, please view this web-page: http://www.essex.ac.uk/courses/details.aspx?mastercourse=PG00807&subgroup=2

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

The academic staff in our Department of Economics are also exceptionally well-regarded; our researchers are at the forefront of their field and have even received MBEs.

Many of our researchers in economics 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

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-Extensive software for quantitative analysis is available in all computer labs across the university
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society where you can explore your interest in your subject with other students
-Alternatively, our Economics Society is an active and social group

Your future

Our graduates are sought after by employers in banking, investment and forecasting, local government and other fields.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Modelling Experimental Data (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)
-Applied Statistics (optional)
-Bayesian Computational Statistics (optional)
-Research Methods
-Dissertation
-Mathematics of Portfolios (optional)
-Financial Derivatives (optional)
-Partial Differential Equations (optional)
-Econometric Methods (optional)
-Economics of Financial Markets (optional)
-Game Theory and Applications (optional)
-Time Series Econometrics (optional)
-Panel Data Methods (optional)

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The MSc in Finance and Econometrics is a specialist degree aimed at providing you with rigorous training and a strong analytical background in finance, financial economics and econometrics. Read more

Overview

The MSc in Finance and Econometrics is a specialist degree aimed at providing you with rigorous training and a strong analytical background in finance, financial economics and econometrics. This masters degree is ideal for those who aim to pursue careers as financial economists, quantitative analysts and financial econometricians in the private sector, in the government or in international financial institutions.

Our Finance and Econometrics degree will develop your financial expertise to the highest level.

Features of the MSc in Finance and Econometrics are:

* This degree covers all the analytical tools and advanced materials in quantitative asset pricing, econometrics, financial derivatives, and financial econometrics.
* Training in relevant mathematical and statistical methods and how to conduct, assess, and supervise both theoretical and applied research in the field.
* Possibility to continue to MRes study upon successful completion of the MSc, with the option to progress to doctoral study in the School of Economics and Finance.

MSc Finance and Econometrics offers:

* Invaluable contributions from respected City practitioners and industry experts who also teach students, bringing practical insights in to the classroom by applying theory to real world scenarios.
* A fully integrated careers programme, a dedicated careers consultant, and extensive industry links that aim to maximise your employment prospects.
* An unparalleled set of optional short courses designed to equip you with further practical training and key technical skills that are highly valued in the Financial Sector.
* High rate of employment of our students within six months of graduation.
* State-of-the-art facilities such as a virtual trading floor which provides exclusive access to the latest technology and financial software used in the banking and finance industry, and access to specialised financial and economic databases and software used by economists in finance or in government for data analysis and simulation.
* The opportunity to join QUMMIF – the only Investment Club of its kind, which allows students to trade real money (currently £30,000) in order to obtain relevant, practical work experience in trading and portfolio analysis.

Structure

The MSc in Finance and Econometrics is currently available for one year of study full-time.

You will take three core modules, plus one option in the first semester and two core modules, plus two options in the second semester.

The pre-semester modules in maths and statistics take place in September. They are especially designed for students who want to review concepts such as statistical distributions and matrix algebra.

For details of modules click here: http://econ.qmul.ac.uk/postgraduate/masters/msc-programmes/155560.html

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Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Read more
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.

Our MSc Statistics and Operational Research will appeal if your first degree included mathematics as its major subject, and we expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.

You specialise in areas including:
-Continuous and discrete optimisation
-Time series econometrics
-Heuristic computation
-Experimental design
-Machine learning
-Linear models

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

This course can also be studied to a PGDip level - for more information, please view this web-page: http://www.essex.ac.uk/courses/details.aspx?mastercourse=PG00808&subgroup=2

Our expert staff

Our Department of Mathematical is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

Our MSc Statistics and Operational Research will equip you with employability skills like problem solving, analytical reasoning, data analysis, and mathematical modelling, as well as training you in independent work, presentation and writing skills.

Your exposure to current active research areas, such as decomposition algorithms on our module, Combinatorial Optimisation, prepares you for further study at doctoral level. Graduates of this course now hold key positions in government, business and academia.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Nonlinear Programming
-Combinatorial Optimisation
-Modelling Experimental Data (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)
-Applied Statistics (optional)
-Bayesian Computational Statistics
-Research Methods
-Dissertation
-Ordinary Differential Equations (optional)
-Graph Theory (optional)
-Partial Differential Equations (optional)
-Portfolio Management (optional)
-Machine Learning and Data Mining (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Time Series Econometrics (optional)
-Panel Data Methods (optional)
-Applications of Data Analysis (optional)
-Mathematical Research Techniques Using Matlab (optional)

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STATE-OF-THE-ART RESEARCH IN METHODOLOGY AND STATISTICS. Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information. Read more

STATE-OF-THE-ART RESEARCH IN METHODOLOGY AND STATISTICS

Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information.

This selective Master’s programme combines the research expertise of the following departments at Utrecht University (UU) and the University of Twente (UT):

  • Department of Methodology and Statistics (UU)
  • Department of Biostatistics, University Medical Centre Utrecht (UU)
  • Department of Research Methodology, Measurement and Data Analysis (UT)

This programme therefore also has two main study locations you can choose from, that is, either Utrecht University or the University of Twente. The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focused on the following fields: Behavioural Sciences | Biomedical Sciences | Social Sciences

The programme is recognised as a high quality programme and has been awarded high ratings in the past years by established rankings in the Netherlands. 

COMBINING THEORY AND APPLICATION

Through the programme’s cutting-edge research in methodology and statistics, you will acquire the knowledge and skills needed to carry out fundamental and applied research at the level of a PhD project. This two-year Master’s programme provides you with answers to questions such as:

  • What is the best way to set up a clinical trial to test new medical treatments?
  • How do we estimate the number of illegal immigrants in the Netherlands?
  • How do we obtain valid answers in a survey about sensitive topics like income or tax fraud?
  • How do we accumulate knowledge through Bayesian updating techniques?

You will also develop your ability to consult with applied researchers on a wide range of methodological and statistical issues. During your studies, you will select a specialisation in the behavioural, biomedical, or social sciences, which you will explore in depth through electives and (the preparation for) your Master’s thesis.

INTERNATIONAL ORIENTATION

Every year, students are invited to participate in the organisation of conferences, through which they have the opportunity to interact with scientists from around the world. In addition, there are opportunities to take electives abroad.

EXCELLENT CAREER PROSPECTS

The Methodology and Statistics programme prepares you for a scientific career in academia, research institutes, government organisations, NGOs, or private enterprises. Utrecht University, University Medical Centre Utrecht, and the University of Twente maintain strong partnerships with various non-academic institutions. The majority of our graduates obtain positions as PhD students either in one of the three departments that coordinate this Master’s programme or in other related departments in the Netherlands or abroad.

PROGRAMME OBJECTIVE

Through this Master’s programme, you will develop the skills and knowledge to function as a qualified practitioner who is ready for PhD training or a research career outside academia. You'll learn how to:

  • develop methodological and statistical approaches that are required by new developments;
  • evaluate commonly used methodological and statistical approaches; and
  • apply methodological and statistical approaches in cooperation with behavioural, biomedical, and social sciences researchers.

You will be fully equipped with the academic skills and knowledge necessary for your future career.



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While practically orientated, this postgraduate degree in applied statistics and financial modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. Read more
While practically orientated, this postgraduate degree in applied statistics and financial modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. The mutual dependence of practice and theory is emphasised wherever possible.

The programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the use of advanced stochastic modelling techniques in the area of quantitative finance.

The programme has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.

Why study this course at Birkbeck?

Covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.
Accredited by the Royal Statistical Society - graduates are normally granted Graduate Statistician (GradStat) status.
Birkbeck brings together research and teaching across economics and finance, mathematics and statistics in a single department, which creates significant interdisciplinary synergies.
Our teaching is informed by the needs of employers and you will be taught by academics who are professional practitioners involved in the world of economics and international finance. They provide specialist advice and in-house training for government departments, City firms and banks.
Our Department houses 5 research groups, in Applied Mathematics and Finance, Econometrics and Statistical Science, Macroeconomics, Microeconomics, and Pure Mathematics, which host visiting speakers and organise seminars. The Birkbeck Centre for Applied Macroeconomics and the Commodities Finance Centre are our 2 research centres, which disseminate research, host events and house visiting academics.
You will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury. Extensive computing facilities include PCs and UNIX platforms.

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Statistics is thriving at Kent, and the research of the Group was rated in the top ten in the UK in the most recent Research Assessment Exercise. Read more
Statistics is thriving at Kent, and the research of the Group was rated in the top ten in the UK in the most recent Research Assessment Exercise. We are also one of the main hubs of the National Centre for Statistical Ecology. Recently, we have updated our MSc in Statistics and introduced a new MSc in Statistics with Finance. Both programmes are accredited by the Royal Statistical Society.

*This course will be taught at the Canterbury campus*

Visit the website: https://www.kent.ac.uk/courses/postgraduate/167/statistics-with-finance

Course detail

The MSc in Statistics with Finance is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.

Purpose

This programme trains students for careers using statistics in the financial services industry. You study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The programme includes modelling of financial time series, risk and multivariate techniques.

Format and assessment

You undertake a substantial project in the area of finance or financial econometrics, supervised by an experienced researcher. Some projects are focused on the analysis of particular complex data sets while others are more concerned with generic methodology.

You gain experience of analysing real data problems through practical classes and exercises. The course includes training in the computer language R.

Assessment is through coursework and formal examinations.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

How to apply: https://www.kent.ac.uk/courses/postgraduate/apply/

Why study at The University of Kent?

- Shortlisted for University of the Year 2015
- Kent has been ranked fifth out of 120 UK universities in a mock Teaching Excellence Framework (TEF) exercise modelled by Times Higher Education (THE).
- In the Research Excellence Framework (REF) 2014, Kent was ranked 17th* for research output and research intensity, in the Times Higher Education, outperforming 11 of the 24 Russell Group universities
- Over 96% of our postgraduate students who graduated in 2014 found a job or further study opportunity within six months.
Find out more: https://www.kent.ac.uk/courses/postgraduate/why/

Postgraduate scholarships and funding

We have a scholarship fund of over £9 million to support our taught and research students with their tuition fees and living costs. Find out more: https://www.kent.ac.uk/scholarships/postgraduate/

English language learning

If you need to improve your English before and during your postgraduate studies, Kent offers a range of modules and programmes in English for Academic Purposes (EAP). Find out more here: https://www.kent.ac.uk/courses/postgraduate/international/english.html

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In this course you will acquire advance expertise in statistics, econometrics, finance, economics and mathematics. It is designed for recent actuarial graduates and professionals in the early stages of their business careers, who want to pursue actuarial and risk management roles. Read more
In this course you will acquire advance expertise in statistics, econometrics, finance, economics and mathematics.

It is designed for recent actuarial graduates and professionals in the early stages of their business careers, who want to pursue actuarial and risk management roles. The course covers specific areas of actuarial practice, and includes exemptions for Parts I and II of subjects of the Institute of Actuaries of Australia.

As part of the degree, you can choose a wide range of elective units, across the fields of econometrics, actuarial practice, economics, business modelling and finance, which will give you the flexibility to tailor the course to your personal interests and career goals.

As well as developing essential mathematical skills, the course also focuses on developing your wider business awareness skills including, communication, critical thinking, actuarial judgement and professionalism.

The course gives you access to some of Australia's renowned actuarial educators and practising actuaries with extensive industry experience, to ensure your studies focus on current concepts and issues that are relevant to business today.

Find out more: Visit the Faculty of Business and Economics postgraduate website (http://www.buseco.monash.edu.au/postgraduate/).

Visit the website http://www.study.monash/courses/find-a-course/2016/actuarial-studies-4439?domestic=true

Career opportunities

The Master of Actuarial Studies gives you the skills to work across the spectrum of industry sectors, in both Australia and overseas, in risk management and actuarial roles. Graduates have pursued careers as actuaries, forecasters, risk managers, analysts, and advisers in large financial institutions, insurance and risk firms and consultancies across the world.

Professional recognition (Australian)

For further details visit http://www.buseco.monash.edu.au/professional-recognition/.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/business-and-economics

About us

The Department of Econometrics and Business Statistics (EBS) is recognised worldwide as being at the forefront of its discipline areas.

Our outstanding international reputation is supported by our rankings or ratings of:

- No 1 in the Asia-Pacific region for econometrics (RePEC)
- Top 10% institutions in the fields of econometrics and time series by IDEAS
- Highest possible rating (well above world standard) in econometrics for Excellence in Research (ERA) conducted by the Australian Research Council

We are also designated by Monash University as an area of outstanding strength in research. The impact of research has led to the election of seven of our professors into the Academy of Social Sciences in Australia, and the appointment of many of our academic staff to editorial positions for highly ranked journals in econometrics and statistics.

Research capabilities

We boast the largest concentration of econometricians and statisticians in a single department in Australia. This means we have significant levels of expertise in most areas of econometrics and business statistics, including actuarial studies and big data analytics.

Teaching excellence

We pride ourselves on our contemporary and engaging teaching activities. Our academic staff provide quantitative training in all relevant courses offered by Monash Business School.

Engagement and Collaboration

Through our Econometrics and Business Statistics Consulting Service, our academic staff help businesses and government bodies in their planning and decision making.

The Department also maintains strong professional links with the Centre for Development Economics and Sustainability. Through this Centre, our academic staff are engaged in high-impact research focusing on development programs in Indonesia and East Timor.

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/actuarial-studies-4439?domestic=true#making-the-application

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INTRODUCTION. The programme is designed to upgrade the analytical skills of managerial and technical personnel for their career advancement and to enhance their competence in applications of statistics. Read more
INTRODUCTION

The programme is designed to upgrade the analytical skills of managerial and technical personnel for their career advancement and to enhance their competence in applications of statistics. The focus is on highly sought after data analysis skills demanded by the industries. The programme provides training in the arts and science of collecting, organizing, presenting, analyzing and interpreting numerical data, and the ability to use the results for decision making and problem solving in a range of fields. The programme is practical-oriented and emphasis is given to the use of software in developing statistical skills.



ENTRY REQUIREMENT

A Bachelor degree with a minimum of CGPA 3.0 or equivalent and sufficient knowledge of mathematics or statistics.


PROGRAMME STRUCTURE



5 CORE COURSES (26 Credits)

Quantitative Research Methods
Research Project
Statistical Methods
Statistical Data Analysis
Applied Econometrics


5 OPTIONAL COURSES (at least 16 Credits)

Time Series Analysis
Computer Information Systems
Experimental Design
Biostatistics
Actuarial Statistics
Applications of Demographic Techniques
Marketing Research Techniques
Operations Research Methods
Applied Financial Econometrics
Readings in Applied Statistics
Statistical Methods for Quality Management
The Malaysian Economy
Applied Macroeconomics
Money and Finance in Economic Development


PROGRAMME DURATION

Minimum: 2 Semesters

Maximum: 8 Semesters



LANGUAGE REQUIREMENTS (For International Applicants)

Minimum TOEFL score of 550 or;

Minimum IELTS overall band score of 5.5



FEES STRUCTURE

AVERAGE FEES*

MALAYSIAN

RM 14,130.00*

INTERNATIONAL

RM 27,867.50*

*Subject to change

Career Opportunity

Graduates will be able to find careers which are related to data analysis, data mining or become software application specialist in:

- Government agencies ( Department of Statistics, LPPKN and others)
- Educational services (universities, colleges and others)
- Financial Institutions (central bank, commercial banks)
- Software companies (SPSS, SAS and others)
- Research houses (stockbroking, fund management, insurance)
- Marketing research companies (Social, media or brand research like Ipsos or Nielsen)

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The MSc programme has been developed jointly by the University of Southampton and the UK Government Statistical Service (GSS) to cover the core skills and knowledge needed by professional government statisticians. Read more

The MSc programme has been developed jointly by the University of Southampton and the UK Government Statistical Service (GSS) to cover the core skills and knowledge needed by professional government statisticians. Both the GSS Human Resource Committee and the Office for National Statistics (ONS) Human Resource Committee have given their full backing and support for the programme.

The programme can be taken full-time or on a part-time basis by those working full-time in the field of government statistics or a related area

Introducing your course

Are you interested in using statistics to help manage the world? Boost your skills and update your professional knowledge in Official Statistics with the MSc in Official Statistics at the University of Southampton. This masters degree is specially designed for those working with official statistics, with a one-week course format and many specialist topics closely aligned with the procedures for measurement and evaluation in government and related organisations. Successful completion will strengthen your abilities and enhance your career as a government statistician.

Overview

The programme is designed to provide you with the specialist skills and knowledge which are central to the conduct of professional statistical work in government. The primary target audience comprises those currently employed in the UK government statistical services or equivalent organisations overseas.

Through part-time study, the programme aims to strengthen and update your professional skills and knowledge. Many of the skills taught on the programme, such as survey methods and data analysis, are also in great demand by employers outside government and the programme provides relevant training for professional positions in a wide range of organisations conducting large-scale statistical work.

View the programme specification document for this course



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