Doctorado en Big Data y Finanzas Cuantitativas

PHD IN BIG DATA AND FINANCES

Through the analysis of the performance and risk consumed by each trader, we identify those profiles with the potential to become institutional traders.

  Pattern Mining

  Optimisation

  Step to Production

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.

PhD in Big Data and Quantitative Finance

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providing them to traders and money managers, however, in recent decades and with an increasing trend, this work has been replaced by automatons and screeners based on artificial intelligence and Big Data techniques, which perform this work automatically and with greater and better results.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

ADMISSION PROCESS AND SCHOLARSHIPS
Request an orientative meeting and a personalized career plan.

Online / Face-to-face

Duration: 24 months

Pago único de la RESERVA:

1.650 €

Solicito sesión orientativa y plan
de carrera profesional personalizado

TRADER SCHOLARSHIPS

Apply for your priority place

60%

Instituto IBT es una escuela universitaria especializada en cursos de Trading en España y México
Hola,
¿En qué puedo ayudarte?