MSc Finance Cranfield Vs Bayes (Cass) vs Queen Mary University


FMS

Hi everyone, hope you all are doing well.
Thank you for taking the time to read and respond to my question.

Cranfield course: https://www.cranfield.ac.uk/som/masters-courses/finance#Overview
Bayes course: https://www.bayes.city.ac.uk/study/masters/courses/finance
Queen Mary: https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/investment-banking-msc/

I have the choice of pursuing an MSc in finance from these three universities and I am confused about which one will be the best, as QS rankings and FT rankings are inconsistent.

Cranfield: QS Ranking 9th in UK, FT ranking 8th in UK
Bayes: QS Ranking 13th in UK, FT ranking 5th in UK
Queen: Both ranking authorities have it quite low or not at all.

(going to 2021 & 2020 year's rankings in FT Bayes stays consistent, Cranfield drops to a lower ranking in 2021 and does not exist in 2020 rankings)

QS ranking site used: https://www.topuniversities.com/university-rankings/business-masters-rankings/finance/2023

FT ranking: https://rankings.ft.com/rankings/2874/masters-in-finance-pre-experience-2022

My goal is to get a job and settle in the UK, I want a job in private equity/Investment banking/Financial consultancy like M&A services. So the university that has a better employer reputation and higher salary avg is preferred. I also prefer London because of networking opportunities and part-time work for a skilled worker like myself.

I am also an ACCA member to give some background info, and I have worked with EY for 2 years as an Auditor.

Thank you for reading, and for your advice.

Hi everyone, hope you all are doing well.
Thank you for taking the time to read and respond to my question.

Cranfield course: https://www.cranfield.ac.uk/som/masters-courses/finance#Overview
Bayes course: https://www.bayes.city.ac.uk/study/masters/courses/finance
Queen Mary: https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/investment-banking-msc/

I have the choice of pursuing an MSc in finance from these three universities and I am confused about which one will be the best, as QS rankings and FT rankings are inconsistent.

Cranfield: QS Ranking 9th in UK, FT ranking 8th in UK
Bayes: QS Ranking 13th in UK, FT ranking 5th in UK
Queen: Both ranking authorities have it quite low or not at all.

(going to 2021 & 2020 year's rankings in FT Bayes stays consistent, Cranfield drops to a lower ranking in 2021 and does not exist in 2020 rankings)

QS ranking site used: https://www.topuniversities.com/university-rankings/business-masters-rankings/finance/2023

FT ranking: https://rankings.ft.com/rankings/2874/masters-in-finance-pre-experience-2022

My goal is to get a job and settle in the UK, I want a job in private equity/Investment banking/Financial consultancy like M&A services. So the university that has a better employer reputation and higher salary avg is preferred. I also prefer London because of networking opportunities and part-time work for a skilled worker like myself.

I am also an ACCA member to give some background info, and I have worked with EY for 2 years as an Auditor.

Thank you for reading, and for your advice.
quote
Duncan

I don't understand why you feel these are inconsistent, especially since they both clearly indicate Bayes > Cranfield > big gap > Queen Mary. They use different methods, so their results are never likely to be identical. 

You have ambitious goals. PE and M&A are lightly elite activities involving small numbers of people. Better schools will be more effective. For generic IB roles, I would not consider a worse school than Bayes.  

I don't understand why you feel these are inconsistent, especially since they both clearly indicate Bayes &gt; Cranfield &gt; big gap &gt; Queen Mary. They use different methods, so their results are never likely to be identical.&nbsp;<br><br>You have ambitious goals. PE and M&amp;A are lightly elite activities involving small numbers of people. Better schools will be more effective. For generic IB roles, I would not consider a worse school than Bayes.&nbsp;&nbsp;
quote

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