M.Sc. in Finance: Duisenberg Honours Programme in Finance and Technology
Master
In Amsterdam (Netherlands)
*Indicative price
Original amount in EUR:
15,546 €
Description
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Type
Master
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Location
Amsterdam (Netherlands)
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Duration
1 Year
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Start date
September
Data science: a shock to the financial system, or its biggest opportunity?
The availability of big data, in combination with rapidly increasing computing power, is uncovering mechanisms not visible before. Blockchain has the ability to fundamentally change the way we register and administer information. Networks provide the opportunity to build robust and stable interactions. Major challenges lie ahead in understanding what these fascinating new technologies imply for our financial infrastructure. These developments call for a new type of finance graduate.
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Start date
Start date
About this course
On finishing the challenging honours programme, you will both have excellent data science and finance skills and know how to implement apply data science into the finance practice.
As firms in the financial industry are effectively looking for people who know how to handle data and how to implement the new opportunities that such data offers in their business model, you have a head start on the job market. You will be able to fulfil a valuable bridge function between the pure quants (as you’ll understand the numbers) and the business managers (as you’ll be able to interpret the results).
Graduates of the programme have gone on to work at one of the large consulting firms (Deloitte, Accenture, McKinsey, etc.), the big banks (ING, ABN AMRO, etc.), the Central Bank or large corporations. IT firms like Booking.com and Google are also interested in graduates from the programme.
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Subjects
- Finance
- Financial
- Technology
- Financial Training
- Techniques
- Developments
- Specialist
- Sector
- Combination
- Traditional
Course programme
The programme trains you to master traditional finance techniques in combination with developments in data science.
Having graduated from the programme, you’ll have the ability to understand the data techniques, how they can be applied in the financial sector, and how they can transform businesses. While you won’t be a data science specialist, you’ll form a bridge between the programmer and the manager. You’ll understand the technicians, apply the techniques in the financial sector, and sell them to the outside world.
To break it down:
- In the first period, you’ll study the structure of the financial sector and financial markets. You’ll also follow the first data science course on Python – the most widely used programming language for big data, machine learning and artificial intelligence.
- In the second period, you’ll study financial econometrics as well as the main new data science techniques, such as machine learning, artificial intelligence and blockchain.
- In the third period, you’ll conduct a research project – applying your Python and machine learning skills, ideally through an internship or company assignment.
- In the fourth period, and fifth period, you can choose from a set of electives in which you’ll apply your data science knowledge to different financial settings. For example, you can choose how to run a HFT firm, how the payments landscape is changing, how to manage financial risks, how regulation is adopting to the latest innovations, or how to market your FinTech innovation.
- During the last two periods, you’ll also write your Master’s thesis. Again, ideally you’ll be applying your knowledge at a large financial institution or start-up in practice.
Discover your programme
The Duisenberg Honours Programme in Finance and Technology has a study load of 84 credits, which means it’s a challenging curriculum that covers six periods in total.
Like all finance and financial management students, you’ll work on your professional skills throughout the year – giving you great preparation for the job market.
Additional information
M.Sc. in Finance: Duisenberg Honours Programme in Finance and Technology
*Indicative price
Original amount in EUR:
15,546 €