PostGraduate in Data Science for Finance

Education objectives

The Postgraduate Program in Data Science for Finance is an highly innovative quantitative orientated one year program geared towards technically-minded graduates wanting a deeper, more analytical study of finance, risk management and financial engineering than is found in general finance programs. The program is designed to prepare students for successful careers in asset management, financial engineering and risk management in the financial sector (financial markets, financial institutions, regulators and supervisors) using technologies and methodologies of last generation.

Graduates are typically employed in investment banking, asset management, hedge funds and investment advisory, risk management, sales and trading, hedge funds, financial engineering, financial technology and consulting/advisory.

To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, pay the application fee (€ 51), and submit the application in the end, from April 20th until May 26th, 2022. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code



Postgraduate programmes



Access to other programs


Jorge Miguel Ventura Bravo

Opening date

September 2022





After Working Hours

Teaching language


Degree pre-requisites

To earn the postgraduate program diploma in Data Science for Finance, students complete a total of 60 ECTS, which correspond to 13 course units.

Conditions of admittance

The requirements for the applications are: a degree in a compatible field (complete until September); analysis of the applicants' academic and professional curriculum.

Evaluation rules


1º year - Autumn semester
Code Name ECTS
400101 Asset Pricing & Portfolio Theory 7.5
400098 Computational Finance 7.5
400097 Fixed Income Securities 7.5
400103 Machine Learning in Finance 7.5
400105 Text Mining 4.0
1º year - Spring semester
Code Name ECTS
400176 Algorithmic Trading 4.0
400174 Credit Risk Scoring 4.0
400173 Decentralized Finance 7.5
400107 Deep Learning Methods in Finance 3.5
400175 Financial Derivatives & Risk Management 7.5
400177 Insurance Data Science 3.5