Economic and financial information systems (MBFA MENTION)

  • 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.

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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.

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Organization

Special features

Special study and examination arrangements are available for students with disabilities and/or high-level athletes.

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Program

See Examination of knowledge

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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 commitment

  • 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

Access conditions

CANDIDATES :

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