ECTS
120 credits
Duration
2 years
Training structure
Faculty of Economics
Presentation
This course offers in-depth training in economics and econometrics.
It also enables students to acquire skills in information systems modeling and economic and financial data mining.
Objectives
Have a global vision of relational database management systems and data warehouses.
Master the process of extracting knowledge from large databases, and more specifically the various data mining techniques.
Know econometric models and methods and apply them to databases, particularly economic data.
Organization
Special features
Special study and examination arrangements are available for students with disabilities and/or high-level athletes.
Program
See Examination of knowledge
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
Theoretical econometrics
5 creditsMarket Finance
4 creditsMonetary and financial macroeconomics
3 creditsForecasting methods
5 creditsAlgorithms and Programming
3 creditsData mining and big data
Data warehouse
Economics of Bancassurance
3 credits
IS (information system) design
3 creditsDatabase handling
2 creditsProgramming techniques
2 creditsData mining and big data
3 creditsSurvey
2 creditsComputer law (Polytech)
2 creditsData warehouse
3 creditsIS (information system) modeling
3 creditsExploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsData visualization design
2 creditsEconometrics
3 creditsSecurity
3 credits
Optional
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsVBA programming
3 creditsEconometrics of qualitative variables
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 credits
Choice of internship or dissertation
30 creditsYour choice: 1 of 2
M2 SIF internship
30 creditsResearch dissertation as part of a research program
30 credits
Research seminars