Economics - Management

UNIVERSITY DIPLOMA: INFORMATION PROCESSING AND BUSINESS INTELLIGENCE

  • Training structure

    Faculty of Economics

Presentation

ATTENTION: Not open to applications and registrations this year 2024-2025

  • Teaching areas: Economics, management, business administration
  • Type of diploma: DU
  • Keywords: Economics Management
  • UFR: Economics
  • Study abroad opportunities: No
  • Type of training: Initial and continuing training
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Objectives

  • Acquire the basics and practices of business intelligence.
  • Acquire the fundamentals of statistical data processing.
  • Learn methods and techniques for finding and using information.
  • Practice and use of statistical results on spreadsheets.
  • Office techniques - Use of software (Excel, Access, data mining, etc.)
  • Collaborative work on a project to be supported using information and communication techniques.
  • Use of an LCMS platform, videoconferencing, interactivity of course sessions using voting boxes.
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Organization

Knowledge control

Each student carries out a case study as part of his or her internship, and presents his or her work to a panel of judges. The total duration of the presentation/examination is a maximum of one hour:

  • The module tests are carried out by a jury made up of the module managers on the day of the project defense.
  • The defense is done individually. The report must clearly show all the modules.
  • A single examination covering all modules, a single internship dissertation and a single oral presentation.
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Program

Training runs from September to September.

1- Total hours of DU modules (Information processing and business intelligence): 160 hours of classes + TD, including :

  • Basic data processing (25 hours)
  • Business intelligence basics (25 hours)
  • Information security (10 hours)
  • Strategic intelligence and innovation policy (10 hours)
  • Innovation policies and information technologies (15 hours)
  • Data mining (15 hours)
  • Research methods and techniques and use of quantitative information (15 hours)
  • Survey practice (10 hours)
  • Practical use of statistical results on spreadsheets (10 hours)
  • Office techniques - Use of software (Excel, Access, etc.) (10 hours)

2- Working together on a project. (15 hours)

  • Students are divided into different work groups. Individually, they produce a report which they must support. (Two to three months)

3- Project presentation using information and communication techniques. (1 hour)

4- Interventions by professionals

  • Joint project preparation seminars
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Admission

Access conditions

1- Recruitment by application.

2- After reviewing the application and acceptance :

  • Registration Office C115 bis
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Target audience

L3 and above students wishing to acquire knowledge in business intelligence, statistical data analysis and operational skills in information processing and management.

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Tuition fees

  • Initial training: See registration office
  • Continuing education: See registration office
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