Computer Science and Management 5th year

  • Training structure

    Polytech Montpellier

Presentation

The department Computer Science and Management trains engineers with a dual skill set enabling them to hold positions of responsibility in companies in the design of information systems, the management of major IT projects or the development of innovative technologies. The courses cover the fundamental aspects of computer science, mathematics and management, and emphasize initiative and autonomy.

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Objectives

To promote the professional integration of students by familiarizing them with the tools and techniques required by companies and by deepening their professional experience (industrial project and internship).

 

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Program

  • Your choice: 1 of 2

    • Option 1 - Solutions

      2 credits
      • Information Systems Optimization (OSI)

        1 credits
      • Information Systems Audit (ISA)

        0.5 credits
      • Business models and information systems

        0.5 credits
    • Option 2 - Internet

      2 credits
      • Sensors and MicroSystems (CMS)

        0.25 credits
      • Radio Frequency Identification (RFID)

        0.25 credits
      • Processing of temporal data

        0.5 credits
      • Large Scale Information Processing (LSIT)

        1 credits
  • IS Architecture

    6.5 credits
    • Project management

      1 credits
    • Information Systems Urbanization (USI)

      1 credits
    • Web Application Engineering 2

      2 credits
    • Information Systems Testing (IST)

      0.5 credits
    • Web Application Engineering 2 (JWA) Project

      2 credits
  • Company and Law

    4 credits
    • Sustainable Innovation & Responsible Entrepreneurship

      1.5 credits
    • Introduction to Law (ID)

      1 credits
    • Computer law

      0.75 credits
    • Professional Project & Professional Networks (PR)

      0.5 credits
    • Introduction to the RD project

      0.25 credits
  • Data processing

    6.5 credits
    • Functional Programming (FP)

      2 credits
    • Regression techniques and scoring

      1.5 credits
    • Advanced data science

      1 credits
    • IS security

      0.5 credits
    • Introduction to DevOps

      1.5 credits
  • Industrial Project

    11 credits
    • Choice of 1 to 3 among 3

      • Research Project

        11 credits
      • End of studies project

        11 credits
      • End of study project CP

        11 credits
  • Your choice: 1 of 2

    • IG 5 course

      30 credits
    • IG 5 CP course

      30 credits