Software Engineering and Statistics (GIS)

Keywords : Information systems, Databases, Software engineering, Operating systems, Networks, Distributed systems, Software Architecture, Applied mathematics, Probabilities, Statistics, Data analysis, Modeling and Simulation, Forecasting, Financial Mathematics, Operationnal Research, Optimization, Decision Making, Data Mining, Business, Management, Financial engineering.

Description and objectives

The Software Engineering and Statistics Department (GIS) trains versatile engineers in the data processing engineering and statistical aspects of information processing for the various departmental branches of a company. As data processing engineering and statistics are essentially transverse disciplines, there are opportunities to be found in many business sectors, especially the service sector and the data processing engineering aspects of the secondary sector.

The training given enables students to use a wide range of skills in a variety of business sectors : - as a computer engineer running computer systems and networks, information systems and databases, software engineering, developing e-services, managing projects, etc. - as an engineer in charge of statistical, data analysis, decision-making, modelling and simulation tools and their applications (reliability, forecasting, quality control, financial mathematics, marketing and scoring). - as an engineer with a good grasp of economics, management and finance and, out of a concern to develop an international outlook, a sound knowledge of English and a second foreign language.

As well as teaching the scientific concepts and how to master the tools used, the course places a great deal of emphasis on the acquisition of a certain methodology (i.e. qualities such as rigour, curiosity and inventiveness within a scientific approach) and to the development of the personality (communication skills, work in a team or independently, etc.). In the fifth year, students may spend one or two semesters abroad at a partner university.

Sectors of activity and career prospects

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The courses enable the student engineers to display various skills in
diverse sectors of activity.
puce

As a general computer engineer mastering computer systems and
networks, information systems and databases, software engineering,
development of services on networks, supervision of projects.
puce

As an engineer with knowledge of statistical tools, data analysis,
decision making tools, modeling, simulation and their
application (reliability, forecasting, quality control, drawing up
plans).
puce

As an engineer with a good knowledge of economics, management and
finance, who, aware of globalization, speaks English
and a second foreign language.

Research

Students have the opportunity to take part in activities linked to research in two laboratories of the University of Science and Technology of Lille (USTL) where the GIS department lecturers carry out their research activity :

- "Laboratoire d'Informatique Fondamentale de Lille" (LIFL)

- "Laboratoire Paul Painlevé" (Mathematics)

In their final year , students can prepare for a research master's degree in computer science or applied mathematics alongside their engineering course.

Projects and placements

Projects and placements are spread over the three years of the course

- 3rd year: bibliographical study, programming and calculation projects, database projects, one to 2-month "professional immersion"placement (one or two months during the summer),

- 4th year: data processing engineering project, statistics project, assistant engineer placement (2 to 3 months)

- 5th year: final year project, engineer placement (4 to 6 months).

Projects and placements may concern companies, local communuties or organisations, or research laboratories in France or abroad.

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