Master in Mathematics, Professional focus in Data Science
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Schedule
regular course
- ECTS Credits 120
![Mathématique études](/sites/default/files/styles/parag_img_small_sm/public/2024-04/fs-e-mathematique-master120.jpg?itok=yOqPt98N)
De la compréhension d’un problème à l’analyse de ses solutions, en passant par sa modélisation, la conception d’un algorithme performant et son application, vous êtes prêts, au terme du master, à aborder concrètement des problèmes d’économie, d’astronomie, de chimie, de biologie, de physique ou de communication, en partenariat avec les experts de ces disciplines, pour leur apporter votre rigueur, votre esprit de synthèse, votre logique et votre capacité de modélisation.
Que vous choisissiez l’enseignement, le monde de l’entreprise, le secteur public ou la recherche, ces atouts font de vous des partenaires scientifiques indispensables à la réalisation de projets multidisciplinaires.
Vos objectifs
- Vous impliquer dans des questions d’actualité : comment améliorer le réseau des transports, une chaîne de production alimentaire, la distribution d’énergie ou l’information sur Facebook ? Comment calculer la trajectoire d’un satellite autour de la Terre et optimiser son positionnement ? Comment comprendre un crash boursier ? Comment étudier l’évolution d’un système écologique et sa réaction à une perturbation ? Comment donner du sens aux apprentissages mathématiques ?
- Maîtriser toutes les étapes de la résolution de problèmes réels (analyse, modélisation, simulation et mise en œuvre) grâce aux outils théoriques, algorithmiques et informatiques des mathématiques appliquées ;
- Vous intégrer dans la vie professionnelle (enseignement, recherche, entreprise) avec une vision scientifique et pluridisciplinaire.
Les atouts de la formation
- Un vrai choix professionnalisant, en contact avec le monde du travail.
- Une formation au travail individuel et d’équipe, à l’autonomie, à la prise d’initiative.
- Une approche interdisciplinaire qui repose sur de solides bases théoriques.
- Une spécialisation en mathématiques appliquées : un précieux bagage, que vous vous destiniez à l’enseignement, à l’entreprise ou à la recherche.
- De nombreuses possibilités de mobilité en Belgique et à l’étranger.
Le programme
Le master de l’Université de Namur articule théorie et pratique par des approches analytiques et numériques à travers une formation poussée en programmation scientifique.
En sélectionnant la finalité spécialisée en Data Science, vous apprenez à extraire, stocker, analyser, visualiser et interpréter des données disponibles en quantités et formes diverses (ex : big data) pour devenir des spécialistes de l’analyse des données et des concepteurs et conceptrices des solutions de demain.
Le master combine des stages en entreprise, dans des centres de recherche, des cours à l’extérieur, des travaux personnels et une formation poussée en mathématiques appliquées.
Un mémoire de fin d’études axé sur une thématique de votre choix clôture votre formation.
Vous développez enfin autonomie, aptitudes de communication, connaissance des langues et réflexion philosophique et éthique pour devenir des scientifiques responsables intégrés dans la société de demain.
![Sciences études](/sites/default/files/styles/parag_img_small_sm/public/2024-04/fs-e-mathematiques-debouches_.jpg?itok=G59cJ4fg)
Une expérience internationale
Vous avez la possibilité de réaliser un séjour d’études Erasmus à l’étranger dans des universités étrangères prestigieuses (en Suisse, France, Italie, Espagne, Suède…).
La formation en anglais comporte un séjour de 3 jours à Londres.
Les autres masters en mathématiques
The University of Namur is organizing:
- the master 120 in mathematical sciences
- the master 60 in mathematical sciences
- the master in mathematics education
- 120 credits - section 4 (from 2025)
- 60 credits - section 5 (from 2025)
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Code Name Staff Th.+Ex. Credits/Block 1 2 3 EDASM101 Business intelligence DEMAERSCHALK Amaury Linden Isabelle Linden Isabelle 45h th. + 15h ex. 5 SDASM101 Graph mining Daquin Jérôme 20h th. + 20h ex. 5 IDASM104 Data Analytics Project Beuls Katrien SIMONOFSKI Anthony 30h th. + 15h ex. 5 Soft skillsEnglish Friendly CoursesIDASM103 Visualisation of information Dumas Bruno Dumas Bruno 30h th. + 15h ex. 4 Soft skillsEnglish Friendly CoursesIDASM101 Big data: engineering and processing Cleve Anthony Cleve Anthony 30h th. + 15h ex. 5 English Friendly CoursesIDASM102 Machine learning and data mining Frénay Benoît 30h th. + 15h ex. 6 -
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Code Name Staff Th.+Ex. Credits/Block 1 2 3 English Friendly CoursesSMATM101 Systems and control Winkin Joseph 30h th. + 30h ex. 6 English Friendly CoursesSMATM102 Multivariate Data Analysis and Statistical Softwares VAN BEVER GERMAIN 30h th. + 30h ex. 6 English Friendly CoursesSMATM103 Numerical linear algebra: direct and iterative methods Sartenaer Annick 30h th. + 30h ex. 6 English Friendly CoursesSMATM104 Qualitative theory of dynamical systems Carletti Timoteo 30h th. + 30h ex. 6 SMATM110 Computer Programming Project 45h ex. 3 SSPSM101 Science, ethics and development Leyens Stéphane 18h th. + 6h ex. 3 SSPSM201 Philosophy of Mathematics 15h th. 3 SMATM205 Foundations of Mathematics Dubussy Christophe 30h th. 3 -
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Code Name Staff Th.+Ex. Credits/Block 1 2 3 English Friendly CoursesSMATM111 Introduction to mathematical writing Carletti Timoteo Libert Anne-Sophie 15h th. 3 SMATM201 Master thesis 21 -
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Code Name Staff Th.+Ex. Credits/Block 1 2 3 Soft skillsEnglish Friendly CoursesSELVM201 Further training in English (level B2+) 45h th. 3 SELVM202 Refresher course in Dutch (level B1) 45h th. 3 -
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Code Name Staff Th.+Ex. Credits/Block 1 2 3 English Friendly CoursesSMATM121 General relativity and cosmology Fuzfa Andre 30h th. + 30h ex. 6 SMATM130 Special questions of Mathematics 30h th. 6 English Friendly CoursesSMATM122 Functional approach to dynamical systems Winkin Joseph MAUROY Alexandre 30h th. + 30h ex. 6 English Friendly CoursesSMATM127 Celestial Dynamics and resonances Libert Anne-Sophie 30h th. + 30h ex. 6 English Friendly CoursesSMATM227 Advanced methods for non-linear systems MAUROY Alexandre 30h th. + 30h ex. 6 SMATM128 Mathematical modelling of infectious diseases Franco Nicolas 30h th. + 30h ex. 6 SMATM129 Analyse des séries temporelles non-linéaires Daquin Jérôme 30h th. + 30h ex. 6
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Code Name Staff Credits Hours/Quarter 1 2 English Friendly CoursesSMATM101 Systems and control Winkin Joseph 6 30h th. + 30h ex. English Friendly CoursesSMATM102 Multivariate Data Analysis and Statistical Softwares VAN BEVER GERMAIN 6 30h th. 30h ex. English Friendly CoursesSMATM103 Numerical linear algebra: direct and iterative methods Sartenaer Annick 6 30h th. + 30h ex. English Friendly CoursesSMATM104 Qualitative theory of dynamical systems Carletti Timoteo 6 30h th. + 30h ex. SMATM110 Computer Programming Project 3 45h ex. SSPSM101 Science, ethics and development Leyens Stéphane 3 18h th. + 6h ex. -
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Code Name Staff Credits Hours/Quarter 1 2 English Friendly CoursesSMATM111 Introduction to mathematical writing Carletti Timoteo Libert Anne-Sophie 3 15h th. -
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Code Name Staff Credits Hours/Quarter 1 2 English Friendly CoursesSMATM121 General relativity and cosmology Fuzfa Andre 6 30h th. + 30h ex. SMATM130 Special questions of Mathematics 6 30h th. English Friendly CoursesSMATM122 Functional approach to dynamical systems Winkin Joseph MAUROY Alexandre 6 30h th. + 30h ex. English Friendly CoursesSMATM127 Celestial Dynamics and resonances Libert Anne-Sophie 6 30h th. + 30h ex. English Friendly CoursesSMATM227 Advanced methods for non-linear systems MAUROY Alexandre 6 30h th. + 30h ex. SMATM128 Mathematical modelling of infectious diseases Franco Nicolas 6 30h th. + 30h ex. SMATM129 Analyse des séries temporelles non-linéaires Daquin Jérôme 6 30h th. + 30h ex.
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Code Name Staff Credits Hours/Quarter 1 2 EDASM101 Business intelligence DEMAERSCHALK Amaury Linden Isabelle Linden Isabelle 5 45h th. + 15h ex. SDASM101 Graph mining Daquin Jérôme 5 20h th. + 20h ex. IDASM104 Data Analytics Project Beuls Katrien SIMONOFSKI Anthony 5 30h th. + 15h ex. Soft skillsEnglish Friendly CoursesIDASM103 Visualisation of information Dumas Bruno Dumas Bruno 4 30h th. + 15h ex. Soft skillsEnglish Friendly CoursesIDASM101 Big data: engineering and processing Cleve Anthony Cleve Anthony 5 30h th. + 15h ex. English Friendly CoursesIDASM102 Machine learning and data mining Frénay Benoît 6 30h th. + 15h ex. -
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Code Name Staff Credits Hours/Quarter 1 2 SSPSM201 Philosophy of Mathematics 3 15h th. SMATM205 Foundations of Mathematics Dubussy Christophe 3 30h th. -
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Code Name Staff Credits Hours/Quarter 1 2 SMATM201 Master thesis 21 -
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Code Name Staff Credits Hours/Quarter 1 2 Soft skillsEnglish Friendly CoursesSELVM201 Further training in English (level B2+) 3 45h th. SELVM202 Refresher course in Dutch (level B1) 3 45h th.
Careers in mathematics
For graduates in applied mathematics from the University of Namur, the transition from studies to the world of work presents no major difficulties: schools are short of mathematics teachers; the business world is looking for skills in networks, dynamic systems, optimization, control, modeling and programming, all assets that mathematicians trained at UNamur possess.
Confronting mathematics with reality
Many mathematicians invest their knowledge within companies. Many business sectors appreciate their analytical and synthesizing skills, as well as their rigor. Whether in consultancy or in the economic and industrial world, mathematicians have plenty of room to model phenomena and situations and, more broadly, put their mathematical baggage at the service of society.
Building IT solutions
Mathematicians at UNamur receive a solid training in scientific programming, an asset that many of them put to good use within various organizations (private or public), or in IT service companies. After a few years in applications development, mathematicians generally move on to project management.
Whatever their job title and level of responsibility, they work to bring human beings and an information management and processing system into harmonious interaction... an ongoing challenge that demands a good sense of interpersonal relations and an excellent knowledge of technology and the business world.
My job as an IT manager is at times akin to a mathematical demonstration. I start with a hypothesis, i.e. the existing situation, the budget, the resources, and I have to arrive at a thesis, in this case a major business project, such as setting up a company abroad. To achieve this, I conduct a real demonstration using lemmas, i.e. small implementations of IT solutions. To set up a company abroad, for example, you need to secure your IT network.
Alain Dieudonné, IT Manager
Evaluating financial or economic risks
Risk management is a strategic issue in banking and financial organizations, stock markets, insurance companies, but also parastatal institutions for social security, pension control, etc. Thanks to their sound knowledge of modeling, mathematicians often perform functions linked to controlling the uncertainty inherent in most economic activities.
Producing statistics
Statistics play an important role in today's society: opinion polls and surveys are part of our daily lives. Some consultancies specializing in conducting this type of analysis call on mathematicians.
Modeling reality
Whether it's the shape of contact lenses, the dynamics of a population, the concentration of space debris, the movements of the oceans, the understanding of social networks, the work of mathematicians is always linked to modeling: being able to understand, simplify, conceptualize and visualize a situation, to come out with a more abstract model likely to provide a global description of a phenomenon.
I've been working for a few years as an actuary in a consultancy firm in the field of supplementary pensions. We live in a world full of hazards: the actuary's role is to quantify, to model uncertainties... Above all, mathematics enables us to develop our way of thinking, which makes our capacity for analysis our main working tool.
Noémie Laloux, actuary
Transmitting a passion for reality
Teaching and the world of training still represent one of the major outlets for mathematicians. Almost a third of our young, professionally active graduates communicate their passion for the real world by teaching mathematics and/or science in upper secondary schools, colleges and universities.
The subject we teach is not particularly difficult. Above all, we need to give young people a taste for mathematics and help those with difficulties to understand it. It's a daily challenge.
Marie Matelart, Secondary school mathematics teacher
Pushing the limits of our knowledge
Mathematicians pursue research mainly in academic settings, in Belgium or abroad. Universities and public funds (FNRS, FRIA, etc.) finance the completion of a PhD (between 4 and 6 years) or award time-limited grants for participation in a research program, sometimes in partnership with the business world.
Aside from fundamental research, mathematics is often a valuable tool for scientific progress in other disciplines: computer science, astrophysics and physics, meteorology, economics, transport, biology... In these multidisciplinary contexts, dual skills often represent an asset.
![Sciences études](/sites/default/files/styles/parag_img_small_sm/public/2024-04/fs-e-mathematiques-debouches_.jpg?itok=G59cJ4fg)