Applied Econometrics:
Machine Learning
Students can choose to follow a tailored path and specialise their studies.
*Please note that this pathway is only a suggestion of how you could engage with our Programme.
It is not compulsory to take any of the specialist paths.
You can build your qualification entirely to your own specification using any available module, as long as you meet the required number of credits for your chosen qualification.
Machine Learning
Specialist Pathway
Want to deepen your knowledge of Machine Learning within Econometrics? Join best-in-class tutors from top institutions like Prof. Lorenzo Trapani, online, and master the subject with our Machine Learning specialisation.
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Students can specialise at every level, whether they are completing a PG Diploma, PG Certificate or a full MSc.
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Machine Learning Electives
To be completed over a maximum of one year, with a total of 60 credits.
i.e.
2x Core Modules | 40 Credits​
2x Specified Electives | 20 Credits
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To be completed over a maximum of three years, with a total of 120 credits.
i.e
2x Core Modules | 40 Credits
4x Specific Electives | 40 Credits
4x Other Electives | 40 Credits
To be completed over a maximum of three years, with a total of 180 credits.
i.e
3x Core Modules | 60 Credits
4x Specific Electives | 40 Credits
4x Other Electives | 40 Credits
Dissertation | 40 Credits
Alongside the compulsory modules above, the electives below will help make up your tailored qualification in Applied Econometrics.
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