Tuition Fee
USD 26,687
Per course
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Applied Statistics | Econometrics | Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 26,687
Intakes
Program start date | Application deadline |
2023-10-06 | - |
2024-01-15 | - |
About Program
Program Overview
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
- Game theory and strategic interactions
- Theoretical and applied econometrics
- Labour economics
- Work with the Institute for Social and Economic Research (ISER), analysing the latest UK household and labour market data
- Combine your passion for economics with techniques for collection, managing and analysing big data
- Sharpen your mathematical brain to improve your problem solving skills by using real-world economic problems
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. Previous students on this course have gone on to roles such as Data Manager for The Health Foundation, Research and Analytics for Essex County Council and as an Analyst for Gain Theory. 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 work with the University’s Careers Services to help you find out about further work experience, internships, placements, and voluntary opportunities.One Masters not enough for you?
We offer a number of postgraduate taught dual awards with our international partners. You work for two Masters degrees, one at Essex and another at a prestigious university across the globe, gaining them both in a shorter time than studying them separately. This unique opportunity gives you a competitive edge when applying for jobs or prepares you for PhD study.Program Outline
Course structure
Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation. We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.Components
Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose. Each component has a status and carries a certain number of credits towards your qualification.Status | What this means |
Core | You must take the set module for this component and you must pass. No failure can be permitted. |
Core with Options | You can choose which module to study from the available options for this component but you must pass. No failure can be permitted. |
Compulsory | You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail. |
Compulsory with Options | You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail. |
Optional | You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail. |
Modules
Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits. In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available. Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code . For example, the module code HR100-4-FY means:HR | 100 | 4 | FY |
---|---|---|---|
The department or school the module will be taught by. In this example, the module would be taught by the Department of History. | The module number. | The UK academic level of the module. A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course. A standard postgraduate taught course will comprise of level 7 modules. A postgraduate research degree is a level 8 qualification. |
The term the module will be taught in.
|
Teaching
- Core components can be combined with optional modules to enable you to gain either in-depth specialisation or a breadth of understanding across several topics
- Our postgraduates are encouraged to attend conferences and seminars
Assessment
- Each module is assessed with a final examination and a coursework component
- Coursework is taken in the form of a term paper or a midterm test
Dissertation
- You undertake an individually supervised research project that involves the in-depth study of a specific economic problem or issue
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