STUDY PROGRAMME
The PhD in Big Data and Quantitative Finance is designed for those who are willing to learn how to handle large amounts of data to analyze financial markets, as well as for those who are also looking to carry out more advanced financial analysis through quantitative market analysis. This PhD will allow you to become a true quant capable of handling and analyzing very large data sets.
First academic year
- Big Data Fundamentals
- Big Data Methods
- Data Mining in Finance
Artificial Intelligence Techniques I - Artificial Intelligence Techniques II
- Techniques of Artificial Intelligence applied to finance
- Practical: Development of financial software or automata software
Second academic year
- Research Techniques
- Research I
- Research II
Third academic year
- Research III
- Thesis Defense
Official qualification of PhD in Big Data and Quantitative Finance. Issued by the American University of Europe (UNADE) with agreement number 201841DBDDyFC and SEyC/DAJ/DRVOE/448/2017.
RESEARCH STAGES
It is carried out in an integrated way with academic tutors and active Quant Traders, applying different techniques for the development and innovation of new strategies and investment models based on algorithms.
Pattern mining
Through different artificial intelligence and data mining techniques, students will be able to detect and develop their own investment patterns.
Optimization
Once the investment model has been detected, different optimization techniques are applied in order to understand in which markets, situations and configurations to use these models.
Steps to Production
Each development must go through different validation phases before being used in fund management. The transition to production is a key aspect in the success of the process, which must be carried out gradually.
CAREER AS QUANT TRADER
Although analysts are traditionally responsible for locating investment opportunities and providing them to traders and money managers, however, in recent decades and with an increasing trend, this work has been replaced by automatons and screeners based on artificial intelligence and Big Data techniques, which perform this work automatically and with greater and better results.
TRANSITION TO PRODUCTION IN A REAL ENVIRONMENT
Students of the PhD in Big Data for Finance are trained to perform the role of quant trader, carrying out the research phase under the tutelage of PhDs and professors who work in a multidisciplinary way with active quant traders who provide their services to regulated investment institutions. This allows the training to be of the highest level, with professional projection excellently remunerated and in high demand.
QUALIFICATIONS AND REQUIREMENTS
PhD in Big Data and Quantitative Finance
Official Degree issued by the Universidad Americana de Europa (UNADE) with agreement number 201841DBDDyFC and SEyC/DAJ/DRVOE/448/2017.
Access requirements
After the informative interview, you should send us the following documents to the following e-mail address admin@institutoibt.com:
University degree title
Master’s degree certificate
Official master’s degree
Identity card
OPENDAY TRADING & NETWORKING 