Advice Request: Which one of the 2 MQF is superior to the Other?

  • Thread starter Thread starter Akab
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Which MQF Program is superior to the other ?

  • Lancaster University's Master Program of Quantitative Finance

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  • University of Glasgow's Master Program of Quantitative Finance

    Votes: 0 0.0%
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A

Akab

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I have received two admission offers of Pre-Master of Quantitative Finance from two universities in UK; Lancaster and Glasgow. However, I am confused which one is superior to the other?

The Program Structure of Lancaster's Master of Quantitative Finance :

MSc Quantitative Finance


The Program Structure of Glasgow's Master of Quantitative Finance:

A- Compulsory :

Mathematical Finance
Compulsory Financial Derivatives
Modelling and Forecasting Financial Markets

B- Electives (3 Courses):

Game Theory with Applications in Finance
Portfolio Analysis and Investment
Basic Econometrics
Advanced Portfolio Analysis (Portfolio Analysis and Investment is a co-requisite)
Applied Computational Finance
C++ in Finance
Economic Fundamentals and Financial Markets
Investment, Finance and Asset Prices
Empirical Asset Pricing (Basic Econometrics or Portfolio Analysis and Investment or Economic Fundamentals and Financial Markets are co-requisites)
Financial Market Micostructure
Interest Rate Modelling

C- Dissertation

University of Glasgow - Postgraduate study - Taught degree programmes A‑Z - Financial Engineering

Find out more about the MSc Quantitative Finance in the Business School at the University of Glasgow, UK., Learn the skills needed for data-driven decision-making in finance. This Masters in Financial Engineering combines finance, mathematics, and computational techniques with real-world...
www.gla.ac.uk www.gla.ac.uk

As noticed, there are 6 course in Glasgow's program in copmarison to 11 courses in Lancaster's, however, I am not sure if this defference is significant in assessing and comparing the two programs.

Please help me to determine which one I shoul accept its offer an why ?



 
You must seek the answer within yourself. Or in the alumni databases of your programs. Ask the offices for a couple of alums you can speak with; prepare questions for them. Maybe around curriculum, teaching quality, job placement? Once you finish the program, you will have to make a lot of decisions with limited information. This is an excellent chance to develop that skill. And maybe delete the crying emoticons. There’s no crying in quantitative finance.
 
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