The course provides a computer-based, application-oriented introduction to business statistics – with a distinct forecasting focus.
Masters (MSc) in Business Analytics: Operational Research and Risk Analysis
With MSc Business Analytics, you will learn the skills to ensure that processes run smoothly, particularly in the face of challenges and opportunities arising from the global reach of business. You will gain vital knowledge and practical skills to become a professional operations, project or supply chain manager in a globalised environment.
Read about other business Master's degree courses at Alliance MBS >>
MSc Business Analytics: Operational Research and Risk Analysis
Year of entry: 2019
Course unit details:
Applied Statistics and Business Forecasting
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 1|
|Offered by||Alliance Manchester Business School|
|Available as a free choice unit?||No|
This course unit covers statistical analysis and modelling techniques with an emphasis on multivariate statistical applications in business and business forecasting. The aim of the course is to provide an update on data analysis and statistical hypothesis testing and to introduce multivariate and forecasting techniques.
At the end of the course unit students should be familiar with a range of statistical models and data analysis techniques – particularly in relation to forecasting – as well as to be able to action the same using appropriate statistical software (e.g, Excel, MINITAB, SAS, SPSS, AMOS).
70% Exam (2 hours)
30% Coursework (30% for individual report on an assignment/case study)
Informal advice and discussion during a lecture, seminar, workshop or lab.
Responses to student emails and questions from a member of staff including feedback provided to a group via an online discussion forum.
Written and/or verbal comments on assessed or non-assessed coursework.
Generic feedback posted on Blackboard regarding overall examination performance.
[ASW FS] ANDERSON, D. R, SWEENEY, D. J., WILLIAMS, T. A., FREEMAN, J., SHOESMITH, E. (2017) Statistics for Business and Economics, 4thEd, Cengage Paperback
[MWH] MAKRIDAKIS, S., WHEELWRIGHT, S. C. & HYNDMAN, R.J. (1998) Forecasting methods and applications, New York, John Wiley and Sons.
[TF] TABACHNICK B. G. & FIDELL, L. S. (2001), Using Multivariate Statistics, 4th Edition, Pearson
[WG] WRIGHT,G. & GOODWIN, P. (1998), Forecasting with Judgement, John Wiley and Sons
[BB] BYRNE, B. (2009) Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Routledge.
|Scheduled activity hours|
|Assessment written exam||2|
|Independent study hours|
|Shyam Mohan||Unit coordinator|
Informal Contact Methos
"I’ve always felt welcome – the staff here offer endless encouragement and support. I’ve had a really good time in Manchester and I think that the University, together with Alliance MBS, has contributed greatly to my experience. This course was quite demanding, but with enough free time to get to enjoy new friends as well as personal hobbies."