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.
Applications
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
4974
Cicle
Postgraduate programmes
Degree
None
Access to other programs
Coordinator
Jorge Miguel Ventura Bravo
Opening date
September 2022
Vacancies
Fees
€5.100
Schedule
After Working Hours
Teaching language
English
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
Structure
| 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 |