Skip to navigation | Skip to main content | Skip to footer

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.

QS World Rankings logo

This course is ranked 2nd in the UK and 7th globally (QS Business Masters Rankings 2019)

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 code BMAN71791
Credit rating 15
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


 The course provides a computer-based, application-oriented introduction to business statistics – with a distinct forecasting focus. 


BMAN71791 Programme Req: BMAN71791 is only available as a core unit to students on MSc Business Analytics and as an elective to students on MSc Data Science (Business & Management pathway)


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.

Learning outcomes

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).

Assessment methods

70% Exam (2 hours)

30% Coursework (30% for individual report on an assignment/case study)

Feedback methods

  • 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.

Recommended reading


[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.

Study hours

Scheduled activity hours
Assessment written exam 2
Lectures 30
Independent study hours
Independent study 118

Teaching staff

Staff member Role
Shyam Mohan Unit coordinator

Additional notes

Informal Contact Methos

Office Hours


Return to course details

Silviu Tofan, Romania, MSc Business Analytics Class of 2016

"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."

Silviu Tofan, Romania

MSc Business Analytics: Operations, Research and Risk Analysis, Class of 2016


Student and Graduate Profiles