Fees and funding

Fees

For entry in the academic year beginning September 2026, the tuition fees are as follows:

  • MSc (full-time)
    UK students (per annum): £15,800
    International, including EU, students (per annum): £31,000

Further information for EU students can be found on our dedicated EU page.

The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

Refund Policy

Due to the competition for places and limited availability, our courses require a deposit of £2500 to cover non-recoverable costs and secure your place. The deposit will be deducted from your tuition fees when you register on the course.

The deposit is non-refundable, except in the following situations:

  • you fail to meet the conditions of your offer (see below for further information); and/or
  • you are refused a visa or entry clearance to enter the UK (proof must be submitted)

If an offer has been made specifying an English Language condition which you do not meet, the Admissions Team will require the official certificate of an English Language test taken after the date of offer as evidence that you have attempted to meet your offer conditions for a refund to be approved. The English Language test certificate provided with your application documents will not be accepted as proof that you have attempted to meet your offer conditions as such a certificate will predate the offer.

If an offer has been made specifying an academic condition, the Admissions Team will require the official university documentation showing that you have not met this academic condition from the institution at which you have studied, as evidence for a refund to be approved.

The Admissions Team reserves the right to refuse to refund of any deposit that does not meet with the requirements outlined above.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

Scholarships will be available for 2026 entry, information will be updated on our scholarships page.

Course unit details:
Research Skills for Professional Practice 2

Course unit fact file
Unit code BMAN71992
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Available as a free choice unit? No

Overview

Multiple regression including direct, mediated and moderated forms of analysis.
Methods beyond multiple regression for analysing complex organisational data, including, path analysis and multilevel modelling.
Structural equation modelling using Mplus, including, confirmatory factor analysis, structural models, and model specification, estimation, and assessment of fit.
Becoming a skilled research consumer: Assessing the robustness of research, issues surrounding replication, and meta-analysis.
The design and analysis of workplace interventions.

Pre/co-requisites

BMAN71992 Programme Req: BMAN71992 is only available as a core unit to students on MSc Business Psychology and MSc Organisational Psychology

Aims

To provide students with the skills to specify, run, and interpret complex multiple regression models, including mediation and moderation models.
To provide students with the skills to specify, run, and interpret complex structural equation models regression models.
To introduce students to advanced quantitative methods essential for nuanced analysis of organisational data, including meta-analysis and multilevel data analysis.

Learning outcomes

On completion of this unit successful participants will be able to:


• Conduct multiple regression using SPSS
• Conduct confirmatory factor analysis using Mplus
• Conduct structural equation modelling using Mplus
• Understand data imputation
• Understand multilevel data analysis
• Understand meta-analysis

Assessment methods

Written assignment 100%
 

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.

 

Recommended reading

Hair, J. F., Jr., Anderson, R. E., Tatham, R. L. & Black, W. C. (2009).  Multivariate Data Analysis (7TH Edition). Upper Saddle River, NJ: Prentice-Hall.

Field, Andy (2013) Discovering Statistics using IBM SPSS for Windows, Sage Publications.

Blunch, N. J., (2008). Introduction to structural equation modelling using SPSS and Amos. Thousand Oaks, CA: Sage.


Byrne, B. (2009). Structural equation modelling with AMOS: Basic concepts, application and programming, 2nd Ed. New York, NY: Routledge.


Kline, R. B. (2005).  Principles and Practice of Structural Equation Modelling.  London: The Guilford Press.


Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester: Wiley.


Muthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.

Study hours

Scheduled activity hours
Lectures 30
Independent study hours
Independent study 120

Teaching staff

Staff member Role
Paul Irwing Unit coordinator

Additional notes

Informal Contact Method

Office Hours

Drop in Surgeries (extra help sessions for students on material they may be struggling with)

Return to course details

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