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Economics for Business Intelligence and Systems

University of Bath    Department of Economics

Full time September MSc 1 year full-time

About the course

Develop sought-after skills in quantitative economics and business, on this innovative, cross-disciplinary

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Entry Requirements

You should have a bachelor's honours degree or international equivalent, typically a 2:1 or above.

To apply for this course you should have an undergraduate degree in a quantitative discipline such as economics, mathematics, computer science, engineering or physical science.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

If you first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements.

 Course Content

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Student Profile(s)

Michael Lawrence

I studied my Economics undergraduate degree here in Bath, with the expectation that I would go on to work in a traditional financial role such as trading. However, over time I became intrigued by the impact of data on these financial institutions.

Whilst writing my dissertation, my supervisor told me about a new master’s course he had been involved in creating; MSc Economics for Business Intelligence and Systems. The course seemed to fit my interests perfectly, allowing me to maintain the financial and economic side of my education, whilst further exploring the impact of data and technology on business.

The course combines elements of economics, maths, computer science and business, and finishes with a ‘Practice Track’ consultancy project where you can apply your knowledge.
The Practice Track element of this course was a key reason I applied. However, I don’t think I truly appreciated its value until I experienced it first-hand.

I was lucky enough to secure a project with the Office for National Statistics (ONS), where I worked alongside a peer from my course. We were tasked with implementing algorithms that would automate the identification of ‘fake news’ on Twitter. A fascinating and very current topic!

It was fantastic to be given so much responsibility. I saw the process through from start to finish, creating algorithms, writing reports and testing our methods.

I also managed to build up a great relationship with my supervisor at the ONS, so much so, that I was asked to give a talk to an ONS team around the research I had done.

For me, the Practice Track was the best part of the course. The experience I gained in a relatively short amount of time has been invaluable.

In addition to the skills I gained whilst undertaking the Practice Track, the course also introduced me to coding.

In fact, I can now confidently say that I have worked on projects in five different coding languages from Python to SQL. This is a huge benefit to my own personal development, and these are real buzz-words in the industry I am now employed in.

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