Objectives
MIASHS is a generalist training course with a scientific, multidisciplinary and professional focus.
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Generalist: students can choose from a wide range of courses in economics, computer science, statistics, management or teaching professions (school professorships).
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Scientific: mainly mathematics, statistics and computer science.
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Multidisciplinary: economics, econometrics, sociology, law and marketing are an essential part of the training.
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Professionalization: students gain professional experience as a statistical and data processing technician. The degree aims to give internships a prominent role (compulsory or recommended depending on the choice of pathway).
Skills
The skills acquired in these mathematics / statistics / computer science courses are as follows:
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translating a simple problem into mathematical language;
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building and writing a synthetic and rigorous mathematical proof;
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applying the bases of probabilistic reasoning without difficulty;
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implementing a statistical approach to data processing;
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using digital reference tools to process information and collaborate internally and externally;
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designing applications and algorithms from partial technical specifications;
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analysing and interpreting the results produced by running a programme.
Course Content
The training respects the principle of progressive specialization.
Year 1 (L1) is common to all students. This first year offers classes in economics, sociology and law, enabling students to move towards one of the two pathways offered from year 2 (L2) onwards.
Years 2 and 3 (L2 and L3) are based on the following two pathways
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Human and Social Sciences (Rennes 2)
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Economics (Rennes 1).
Mathematics, statistics, computer science and language classes are shared by both pathways over the three years.
