Economics & Statistical Analysis
UK & EU Students
Course Details
Classification:MSc
Course Duration:1 Year
Course Start Date:09 September 2013
Course Mode:Full Time
Subject Area:Business and Management
Course Fees
Students from England, Wales or Northern Ireland
| Year | Fee | Description/Notes |
|---|---|---|
| 2012/13 | £6510.00 | Information on fees, scholarships and financial support. |
Students from Scotland and the rest of the EU
| Year | Fee | Description/Notes |
|---|---|---|
| 2012/13 | £6510.00 | Information on fees, scholarships and financial support. |
Minimum Entry Requirements
Minimum RequirementsUK Honours Degree 2:2 or equivalent in any subject area
Additional InformationThe overriding consideration will be the Programme Leader’s assessment of the student’s ability to undertake the Programme successfully.
Recognition of Prior LearningThe university will also consider admission to the programme on the basis of prior learning and/or prior experiential learning.
Such learning may be certificated or un-certificated and could include appropriate work experience in government economic service, economic consultancy, planning / economic development or considerable industrial experience in the sector at a management level.
Applicants in this situation are advised to consult with the Programme Leader at an early stage in the application process.
Such learning may be certificated or un-certificated and could include appropriate work experience in government economic service, economic consultancy, planning / economic development or considerable industrial experience in the sector at a management level.
Applicants in this situation are advised to consult with the Programme Leader at an early stage in the application process.
English LanguageAcademic IELTS score of 6.0 (or equivalent) is required, with no element less than 5.5.
Progression from INTO Glasgow Caledonian UniversityApplicants who have completed an INTO Graduate Diploma in Business (eg INTO Glasgow Caledonian University's Graduate Diploma in English with Business) or a comparable programme from similar institutions, will also be considered.
Non UK/EU Students
Course Details
Classification:MSc
Course Duration:1 Year
Course Start Date:09 September 2013
Course Mode:Full Time
Subject Area:Business and Management
Course Fees
| Year | Fee | Description/Notes |
|---|---|---|
| 2012/13 | £9900.00 | Information on fees, scholarships and financial support. |
| 2013/14 | £10400.00 | n/a |
Minimum Entry Requirements
Minimum RequirementsUK Honours Degree 2:2 or equivalent in any subject area
Additional InformationThe overriding consideration will be the Programme Leader’s assessment of the student’s ability to undertake the Programme successfully.
Recognition of Prior LearningThe university will also consider admission to the programme on the basis of prior learning and/or prior experiential learning.
Such learning may be certificated or un-certificated and could include appropriate work experience in government economic service, economic consultancy, planning / economic development or considerable industrial experience in the sector at a management level.
Applicants in this situation are advised to consult with the Programme Leader at an early stage in the application process.
Such learning may be certificated or un-certificated and could include appropriate work experience in government economic service, economic consultancy, planning / economic development or considerable industrial experience in the sector at a management level.
Applicants in this situation are advised to consult with the Programme Leader at an early stage in the application process.
English LanguageAcademic IELTS score of 6.0 (or equivalent) is required, with no element less than 5.5.
Progression from INTO Glasgow Caledonian UniversityApplicants who have completed an INTO Graduate Diploma in Business (eg INTO Glasgow Caledonian University's Graduate Diploma in English with Business) or a comparable programme from similar institutions, will also be considered.
Further Education Students
Course Details
Classification:MSc
Course Duration:1 Year
Course Start Date:09 September 2013
Course Mode:Full Time
Subject Area:Business and Management
Course Fees
| Year | Fee | Description/Notes |
|---|---|---|
| Contact us | ||
Minimum Entry Requirements
Minimum RequirementsUK Honours Degree 2:2 or equivalent in any subject area
Additional InformationThe overriding consideration will be the Programme Leader’s assessment of the student’s ability to undertake the Programme successfully.
Recognition of Prior LearningThe university will also consider admission to the programme on the basis of prior learning and/or prior experiential learning.
Such learning may be certificated or un-certificated and could include appropriate work experience in government economic service, economic consultancy, planning / economic development or considerable industrial experience in the sector at a management level.
Applicants in this situation are advised to consult with the Programme Leader at an early stage in the application process.
Such learning may be certificated or un-certificated and could include appropriate work experience in government economic service, economic consultancy, planning / economic development or considerable industrial experience in the sector at a management level.
Applicants in this situation are advised to consult with the Programme Leader at an early stage in the application process.
English LanguageAcademic IELTS score of 6.0 (or equivalent) is required, with no element less than 5.5.
Progression from INTO Glasgow Caledonian UniversityApplicants who have completed an INTO Graduate Diploma in Business (eg INTO Glasgow Caledonian University's Graduate Diploma in English with Business) or a comparable programme from similar institutions, will also be considered.
Programme Description
MSc Economics & Statistical Analysis is a postgraduate conversion programme in Economics and related mathematical and statistical methods and techniques that is designed primarily for graduates in other disciplines. This makes it distinct from most taught masters’ programmes in Economics as these are designed for Economics’ graduates.
Once in employment many graduates in more general subject areas find that they lack appropriate analytical and mathematical/statistical skills that would enhance their career progression. This course provides an integrated study of Economics and Statistics. Additionally, the programme has been designed in such a way to allow graduates in either Economics or Statistics to develop expertise in their ‘missing’ discipline and acquire a postgraduate qualification.
Once in employment many graduates in more general subject areas find that they lack appropriate analytical and mathematical/statistical skills that would enhance their career progression. This course provides an integrated study of Economics and Statistics. Additionally, the programme has been designed in such a way to allow graduates in either Economics or Statistics to develop expertise in their ‘missing’ discipline and acquire a postgraduate qualification.
Why Choose this Course?
- Designed for graduates in other disciplines looking to acquire a working knowledge of both Economics and associated Mathematical / Statistical techniques
- Suitable for graduates in Economics or Mathematics / Statistics wanting to acquire expertise in their ‘missing’ discipline to augment and deepen current areas of expertise
- Award-winning support from induction through to graduation
- Innovative teaching that focuses on learning for the real world and the employability of our graduates
- Flexible study – Full-time and part-time available. Start in September or January
Programme Structure
Trimester 1
Graduates in either Economics or Mathematics/Statistics may take alternative modules from the GSBS Postgraduate Portfolio as agreed with the Programme Leader
- Principles of Microeconomics
- Mathematics for Economics & Finance
- Principles of Macroeconomics
- Statistics for Economics & Finance
- Applied Principles of Economics
- Quantitative Analysis for Economics & Finance
- Econometrics
- Option: Cost Benefit Analysis / Risk Analysis & Modelling
- Research Methods & Dissertation
Graduates in either Economics or Mathematics/Statistics may take alternative modules from the GSBS Postgraduate Portfolio as agreed with the Programme Leader
Module Details
Principles of Microeconomics: aims to develop an understanding of microeconomic theory and principles to a level that enables students to understand how markets work. The module analyses the decision making of households and firms and provides an overview of the 'efficiency' of market systems and the public policy response to 'market failure.'
Mathematics for Economics & Finance: introduces the student to mathematical methods that are essential for modelling in economics, providing a strong foundation in the study of appropriate quantitative relationships and the application of calculus to economics and finance. Emphasis is placed on using mathematics to solve problems in economic and financial analysis. Successful completion of the module should enhance the student’s proficiency in the use of spreadsheet software in economic and financial analysis.
Principles of Macroeconomics: aims to develop an understanding of macroeconomic theory to a level that enables students to coherently analyse issues that confront modern macroeconomies and to critically evaluate the conduct of macroeconomic policy. The module builds an analytical model to explain and integrate national output, unemployment, inflation, wage rates, consumption, investment, taxation, government spending, imports, exports, interest rates and exchange rates.
Statistics for Economics & Finance: introduces students to statistical methods that are essential for modelling in economics and finance. It provides a strong foundation in the study of appropriate probability distributions, estimation, hypothesis testing, correlation and regression methods as frequently used in statistical modelling in economics and finance. Emphasis is placed on the use of statistics in economic and financial analysis. The module aims to enhance the student’s proficiency in the use of spreadsheet and appropriate statistical software for economic and financial analysis.
Applied Principles of Economics: develops intermediate/advanced economic models and analytical techniques to enable students to understand and coherently analyse economic behaviour at the individual level and critically evaluate the conduct of economic policy. The Macroeconomics component further integrates and refines the relationships between the principal macroeconomic variables and examines the current theoretical debate / and degree of consensus between different schools of thought. The Microeconomics component develops a game theoretic approach to the study of firms’ behaviour introducing the theory of games and defining players, actions, strategies within different frameworks/models.
Quantitative Analysis for Economics & Finance: develops quantitative methods that are essential for modelling in important selected areas of economics and finance. It provides a strong foundation in the study of time series and forecasting for application to econometrics, investment risk, portfolio analysis and options. Emphasis is placed on using quantitative methods to model, critically analyse and solve problems in these areas of economics and finance. The module aims to enhance the student’s proficiency in the use of appropriate software in economic and financial analysis.
Econometrics: is concerned with theory and practice underlying the development of quantitative economic models, how we can best specify the underlying economic theory in the form of a statistical model and how we can then best estimate the resulting equation using relevant data. The emphasis will be on the practical: the rendering of data, construction of an appropriate economic model and estimator, testing of the model and presentation/critique of results.
Cost Benefit Analysis: introduces students to Economics’ main tool for analysing problems of social choice - CBA / Investment Appraisal techniques. The emphasis is on the practical application of CBA / Investment Appraisal viz: the evaluation of environmental change, project appraisal in Least Developed Countries (LDCs), the use of case studies and the undertaking of economic impact assessments. This emphasis is also reflected in the applied nature of the coursework.
Risk Analysis & Modelling: is a practical module that aims to provide the student with the skills needed to apply risk analysis and modelling techniques in real life situations, for instance, in the Financial Services Sector where these tools are increasingly being used. It provides students with an understanding of the core concepts and tools used to build modern risk analysis models. Practical computing exercises introduce the student to the mathematical and statistical foundations of risk analysis. Core mathematical, statistical and computing concepts are combined to explore a number of modern risk analysis modelling techniques.
Research Methods & Dissertation: the major element of this module is the submission of a dissertation of 15,000 words on an independent examination of a topic in applied economics, selected by the student in consultation with the module and programme leaders and relevant tutor(s). This is preceded by a short, intensive period of supportive Research Methods’ instruction, culminating in a Dissertation Proposal that details the aims and objectives of the work, an indicative Literature Review and outline Methodology. Students are required to defend their work in a Viva Voce examination with their Supervisor and another member of academic staff.
Mathematics for Economics & Finance: introduces the student to mathematical methods that are essential for modelling in economics, providing a strong foundation in the study of appropriate quantitative relationships and the application of calculus to economics and finance. Emphasis is placed on using mathematics to solve problems in economic and financial analysis. Successful completion of the module should enhance the student’s proficiency in the use of spreadsheet software in economic and financial analysis.
Principles of Macroeconomics: aims to develop an understanding of macroeconomic theory to a level that enables students to coherently analyse issues that confront modern macroeconomies and to critically evaluate the conduct of macroeconomic policy. The module builds an analytical model to explain and integrate national output, unemployment, inflation, wage rates, consumption, investment, taxation, government spending, imports, exports, interest rates and exchange rates.
Statistics for Economics & Finance: introduces students to statistical methods that are essential for modelling in economics and finance. It provides a strong foundation in the study of appropriate probability distributions, estimation, hypothesis testing, correlation and regression methods as frequently used in statistical modelling in economics and finance. Emphasis is placed on the use of statistics in economic and financial analysis. The module aims to enhance the student’s proficiency in the use of spreadsheet and appropriate statistical software for economic and financial analysis.
Applied Principles of Economics: develops intermediate/advanced economic models and analytical techniques to enable students to understand and coherently analyse economic behaviour at the individual level and critically evaluate the conduct of economic policy. The Macroeconomics component further integrates and refines the relationships between the principal macroeconomic variables and examines the current theoretical debate / and degree of consensus between different schools of thought. The Microeconomics component develops a game theoretic approach to the study of firms’ behaviour introducing the theory of games and defining players, actions, strategies within different frameworks/models.
Quantitative Analysis for Economics & Finance: develops quantitative methods that are essential for modelling in important selected areas of economics and finance. It provides a strong foundation in the study of time series and forecasting for application to econometrics, investment risk, portfolio analysis and options. Emphasis is placed on using quantitative methods to model, critically analyse and solve problems in these areas of economics and finance. The module aims to enhance the student’s proficiency in the use of appropriate software in economic and financial analysis.
Econometrics: is concerned with theory and practice underlying the development of quantitative economic models, how we can best specify the underlying economic theory in the form of a statistical model and how we can then best estimate the resulting equation using relevant data. The emphasis will be on the practical: the rendering of data, construction of an appropriate economic model and estimator, testing of the model and presentation/critique of results.
Cost Benefit Analysis: introduces students to Economics’ main tool for analysing problems of social choice - CBA / Investment Appraisal techniques. The emphasis is on the practical application of CBA / Investment Appraisal viz: the evaluation of environmental change, project appraisal in Least Developed Countries (LDCs), the use of case studies and the undertaking of economic impact assessments. This emphasis is also reflected in the applied nature of the coursework.
Risk Analysis & Modelling: is a practical module that aims to provide the student with the skills needed to apply risk analysis and modelling techniques in real life situations, for instance, in the Financial Services Sector where these tools are increasingly being used. It provides students with an understanding of the core concepts and tools used to build modern risk analysis models. Practical computing exercises introduce the student to the mathematical and statistical foundations of risk analysis. Core mathematical, statistical and computing concepts are combined to explore a number of modern risk analysis modelling techniques.
Research Methods & Dissertation: the major element of this module is the submission of a dissertation of 15,000 words on an independent examination of a topic in applied economics, selected by the student in consultation with the module and programme leaders and relevant tutor(s). This is preceded by a short, intensive period of supportive Research Methods’ instruction, culminating in a Dissertation Proposal that details the aims and objectives of the work, an indicative Literature Review and outline Methodology. Students are required to defend their work in a Viva Voce examination with their Supervisor and another member of academic staff.
Assessement
A combination of Applied Written Courseworks, Final Examinations and Dissertation
Career Opportunities
The Programme aims to produce postgraduates who are employable as economic analysts and who have skills for which there is high employer demand. The majority of graduates in Economics, normally don’t go on to jobs as ‘economists’, but tend to be employed in posts specifically requiring greater analytical and quantitative skills than the average business graduate. Economics and statistics graduates experience better than average rates of return to their degrees and are more likely than the average graduate to become managers and administrators - a typically high earning and high status occupational group.
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