Pós-Graduação em Data Science for Finance

Postgraduate Program in Data Science for Finance

The Postgraduate Diploma in Data Science for Finance is an internationally innovative training program that offers a quantitative and analytical approach to finance, aimed at professionals in the financial sector seeking a more analytical approach to the areas of valuation of financial assets, trading, risk management, financial engineering, predictive models, financial computing, among others. It also provides an understanding of the potential transformations in the financial industry resulting from the adoption of blockchain technology by Fintech & InsurTech. The program prepares senior management for successful careers in the areas of investment banking, asset management, hedge funds and investment advisory, risk management, sales and trading, hedge funds, financial engineering, financial technology, and consulting/advisory.

This Postgraduate Program gives access to the Master degree program in Statistics and Information Management, with a specialization in Risk Analysis and Management. This Master program is ranked as the best Master degree program in Risk Management in Portugal and 2^nd best in the World by Eduniversal, an international agency that publishes an annual ranking of the best MBA and Master degrees in the world.

Applications for this course are open from June 18^th to July 18^th, 2024.

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Format

After Working Hours
Length and ECTS

4 trimesters (60 ECTS)
Attendance

2 to 3 times a week
Start Date

September 2024

Who is it for?

This program is geared towards technically minded graduates wanting a deeper, more analytical study of finance, risk management and financial engineering that is found in general finance programs. Candidates with a first or upper second Class honors degree (or international equivalent) from a recognized university in a highly quantitative subject such as economics, mathematics, statistics, engineering, computation, science, or management pursuing a successful career in finance are the main target of this program. Work experience is not essential, but you are strongly recommended to undertake relevant internships and to share your expertise in class.

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.

Goals

This Postgraduate program has as specific objectives the training of professionals in the financial sector:

Developing Data-Driven pricing & risk management models of both plain vanilla and exotic financial securities that compete with traditional model-based approaches;
The development of Data-Driven models that explain the dynamics of financial asset prices;
The implementation and validation of data models, machine learning and deep learning methods in finance;
Understanding the potential transformations in the financial industry resulting from the adoption of blockchain technology to Fintech & InsurTech;
The acquisition and development of skills in the most popular programming languages in the financial industry (R, Python);
The development of Predictive Analysis and Trading models, Sentiment Analysis, Financial Fraud Detection techniques, Credit Rating models, Insurance pricing models, Customer Segmentation methods.