Economic and financial information system (MBFA MENTION)

  • ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Economics

Presentation

This course offers in-depth teaching in economics and econometrics.

It also provides students with skills in information systems modeling as well as in economic and financial data mining.

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Objectives

Have a global vision of relational database management systems and data warehouses.

Master the process of knowledge extraction in large databases and more specifically the different techniques of data mining.

Know the econometric models and methods and apply them to databases and more specifically to economic data.

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Organization

Special arrangements

Study and exam accommodations are possible for students with disabilities and/or high-level athletes.

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Program

See Terms and conditions of knowledge control

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  • Your choice: 1 of 2

    • English for Finance 1

      2 credits

    • Spanish 1

  • Theoretical econometrics

    5 credits

  • Market Finance

    4 credits

  • Monetary and financial macroeconomics

    3 credits

  • Forecasting methods

    5 credits

  • Algorithms and Programming

    3 credits

  • Data mining and big data

  • Data warehouse

  • Economics of Bancassurance

    3 credits

  • IS (information system) design

    3 credits

  • Database handling

    2 credits

  • Programming techniques

    2 credits

  • Data mining and big data

    3 credits

  • Survey

    2 credits

  • Computer law (Polytech)

    2 credits

  • Data warehouse

    3 credits

  • IS (information system) modeling

    3 credits

  • Exploratory statistics (SAS)

    1 credits

  • Computer techniques (VBA)

    1 credits

  • Data visualization design

    2 credits

  • Econometrics

    3 credits

  • Security

    3 credits

  • Optional

    • UM Student Engagement

  • Your choice: 1 of 2

    • Financial English 2

      2 credits

    • Spanish 2

      2 credits

  • Introduction to stochastic calculus

    4 credits

  • Corporate Finance

    4 credits

  • Introduction to SAS

    2 credits

  • VBA programming

    3 credits

  • Econometrics of qualitative variables

    3 credits

  • Time series econometrics

    5 credits

  • Technical analysis

    2 credits

  • Applied econometrics project

    5 credits

  • Choice of internship or dissertation

    30 credits

    • Your choice: 1 of 2

      • M2 SIF internship

        30 credits

      • Research dissertation as part of a research program

        30 credits

  • Research seminars

Admission

Conditions of access

CANDIDATES:

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