Clermont Auvergne INP
F3 – Information Systems and Decision Support

F3 – Information Systems and Decision Support

Goal

The objective is to train engineers capable of creating and maintaining reliable information systems that integrate into a company’s tools. This requires designing applications to store information (locally, in the cloud, in existing database systems) to feed either reporting tools (creating dashboards, etc.), intelligent data analysis tools for decision-making, or operational tools that manage the company’s daily operations.

The digitalization of businesses, the move to the cloud, and the ever-increasing volume of data demand today’s engineers to understand and model computer systems to make them more efficient and robust. Companies are becoming increasingly connected and exchange real-time information (stock availability, orders, invoices, etc.). Public organizations require connections to submit or exchange invoices. All these data exchanges require engineers trained in data modeling, understanding, and integration.

Training

The training is designed to provide students with the technical skills and knowledge needed to excel in this constantly evolving field. It includes:

  • Computer fundamentals: Students gain a solid foundation in programming, computer security, and essential knowledge of Information Systems (IS).
  • Project management: Students learn best practices in project management for planning, monitoring, and implementing IT solutions. Different project methods (Waterfall, Agile methods, Scrum, etc.) are covered.
  • Databases: A significant emphasis is placed on database fundamentals and the optimized and secure management of both relational and non-relational databases. The training includes a Big Data course, where approaches to managing and analyzing large datasets are studied. Tools studied include Oracle NoSQL, Redis, Cassandra, and MongoDB. Code parallelization tools are also studied, such as map-reduce, Hadoop, and Storm.
  • Information Systems: Various modules allow students to gain a good understanding of information systems (ERP, supply chain management, application integration, web services, data governance, etc.).
  • Business Intelligence/Decision Support: Courses focus on designing and implementing reliable decision support systems, allowing valuable insights to be extracted from raw data and presented effectively to decision-makers. Creating complex data flows, modeling a data warehouse, and data quality management are taught through real-world cases encountered in the professional world.
  • Data Science: The training offers data analysis techniques, including machine learning, artificial intelligence, data visualization, statistical modeling, and data mining.
  • Optimization and Operations Research: Students explore optimization methods to solve complex planning and logistics problems. They acquire skills in modeling and simulating dynamic and stochastic processes for the analysis of complex and uncertain systems. Operations Research courses address the creation of digital twins through a simulation course.
  • Quantum computing represents a major revolution in information technology. Instead of using classical bits to represent data, it relies on qubits, quantum units that can exist in multiple states simultaneously through superposition and entanglement. This promising approach opens up new perspectives for solving complex problems, such as large number factorization, quantum simulation, and artificial intelligence research.

Methods and Tools

Students in the Information Systems and Decision Support program have access to a variety of methods and tools, including:

  • Programming: C++, Java EE, Eclipse, Netbeans, Visual Studio, etc.
  • Project management systems: Agile, Scrum, Kanban, etc.
  • Databases: SQL, NoSQL, Oracle, Microsoft SQL Server, MySQL, MongoDB, Redis, Neo4J, etc.
  • Big Data Technologies: Map-reduce, Hadoop, Spark, Hive, etc.
  • Data integration: ETL Talend, Microsoft SSIS, Apache N8N, EAI, SOA, etc.
  • Reporting, Cube, and Data Visualization: Tableau Software, Microsoft Power BI, Microsoft SSAS, etc.
  • ERP: Oracle, CEGID, etc.
  • Data Analysis: R, Python (pandas, scikit-learn), etc.
  • Operations Research: CPLEX, etc.

Interaction with the Professional Environment

Many guest lecturers are professionals, with the majority being former students. Some examples include:

  • Jonathan Fontanel from Carina Consulting
  • Deborah Dordain from Cegid
  • Romain Guidoux from BrainCube
  • Regis Jacquelin – CIO at the Clermont-Ferrand Regional Directorate of Education
  • Barbara Ruiz – Michelin Company

Career Opportunities

Graduates of the F3 program are highly sought after in many sectors, primarily in data and IS-related professions:

  • Strategy and technology consulting: As experts in information systems, they work for consulting firms to help businesses optimize their decision-making processes and advise them on actions to take regarding their application landscape and internal IT management.
  • IT project management: As project managers, they oversee the development and implementation of IT solutions.
  • Data Analysts and Data Scientists: They are qualified to analyze data and provide valuable information for decision-making.
  • Business Intelligence Project Managers: They create and manage decision support information systems for organizations.
  • Information Systems Architects, Data Engineers, Data Architects: They design and implement advanced information systems.
  • Operations Research Analysts: They solve complex optimization problems in areas such as logistics, supply chain management, and planning.

The career opportunities for this program include ESNs, BI companies, software publishers, as well as all users of large information systems: manufacturing companies, banks, insurance companies, logistics, transportation, and research and development centers.

Contact
Campus universitaire des Cézeaux
1 Rue de la Chebarde
TSA 60026
63178 Aubière CEDEX

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