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Study Guide to Masters and Bachelors Degree Courses

Kingston University
School of Economics


Address Arts and Social Sciences Admissions Office,
Kingston University, Penrhyn Road,
Kingston upon Thames, Surrey KT1 2EE.
Tel. No. +44 (0) 20 8547 7378/8361
Fax No. +44 (0) 20 8547 7388
E-mail address
Course titles MSc in Business and Economic Forecasting
Course Director Dr Kay Pollock
Type of course Full-time and part-time
Length of course 1 year / part-time = 2 years
Date of commencement Commence late September, applications by mid-September
Financial assistance Occasional
Class size 15
Accommodation Available to early applicants
Top recruiters Indicative examples - fuel & transport utilities, investment advisors, research units, business consultants, marketing departments, economic development offices
Admission requirements
  • A good honours degree in economics, business studies or finance
  • A good honours degree or postgraduate diploma in other areas where quantitative methods or economics have been studied to an appropriate standard
  • Other appropriate qualifications, e.g. relevant postgraduate diploma
  • Extensive professional experience of an appropriate nature
  • Language Fluency Required (e.g. IELTS = 6.5)
  • Student profile Ratio Men:Women : 60 / 40
    Age Range : mostly 21 - 35
    Average Age : approx 25
    Average Work Experience : varies


    About the Course

    The course provides extensive training in forecasting and modelling techniques, with a wide range of applications in business, finance and the national economy. In addition, it equips its graduates with the ability to identify forecasting methods and appreciate their limitations and to present their forecasting reports. The use of appropriate computer software is emphasised throughout and hands-on experience is an integral part of the programme.

    Forecasting plays an important role in decision-making in industry, financial services, commerce and government. In an uncertain environment the success of a business or economic policy depends on the ability of managers to foresee and prepare for the future.

    This innovative course is intended for those keen to advance their careers as economic/business modellers and forecasters in industry, financial services, consultancies or government; and those whose careers in related areas would benefit from training in modelling and forecasting methods.


    This is a modular programme based on credit accumulation. The MSc consists of eight modules plus a dissertation.

    This module provides the mathematical and statistical underpinnings to the econometrics and time series modules.

    This module deals with the multiple linear regression model and explores its range of applicability as a modelling framework. It also assesses the extent to which econometric methods are useful in forecasting.

    This module is an introduction to the range of techniques employed to produce forecasts from time series data. The empirical work performed in this module will lead to the production of a time series analysis and forecast as a professional report and prepare students to conduct future research.

    This module famliarises students with the ICT packages that are used in subsequent modules to support report writing and analysis. It also shows how standard software packages can be enhanced by writing dedicated additional programmes.

    This is a module which explores the wide range of approaches to forecasting in the business environment. It deals with subjective approaches as well as extensions to the econometric methods covered earlier and seeks to broaden the range of options open to business forecasters.

    Business forecasting takes place in the context of a specific macroeconomic climate. This module explores how the macroeconomic climate affects business and analyses the strengths and weaknesses of macroeconomic forecasts.

    This provides an opportunity to develop the techniques studied in the Business Forecasting module and to practice the research skills required in writing a professional report and the dissertation.

    This module provides the opportunity to practice the techniques employed in producing macroeconomic forecasts and writing professional forecasting reports.

    DISSERTATION (about 10,000 words)
    Produced in consultation with a supervisor on a topic chosen by the student and written over a 12 week period. Students who are working can use their own professional circumstances as research material, in consultation with their employers. The dissertation is often used by graduates of the degree, to demonstrate their professional development to future employers


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