MSc Mathematics and Applications Programme - Mathematics and Interactions, MIX
Identity card
- Domain : Sciences, Technologies and Health
- Full time course
- Continuing Education
- Master of Engineering
- Accessible to people with disability
- 120 ECTS credits
- 4 semesters
- La Rochelle
OBJECTIVES
Presentation
“Do you want to become an engineer capable of solving problems in industry using a mathematical approach?
The Mathematics and Interactions track will prepare you to model and/or simulate concrete or theoretical situations and to propose effective and reliable solutions using numerical methods.
In order to clarify and solve problems, you will also learn to manipulate data and to process, represent and retrieve information that can be used within an organisation.”
In addition to this course, a master’s programme in engineering is available: https://www.univ-larochelle.fr/formation/nos-formations/cursus-master-ingenierie-cmi
Michel BERTHIERMichel Berthier
ADMISSION
Your profile
You have a Bac+3, Bac+4 or equivalent (minimum 180 ECTS). and good knowledge in the field of mathematics
How to apply ?
In the 1st year of the Master’s degree, the selection of candidates is made on the basis of their application documents.
How to apply to the 1st year of the Master’s
How to apply to the 2nd year of the Master’s
PROGRAMME
Semester 1
Analysis of Partial Differential Equations Mandatory
-
PDE Analysis
Mandatory
- Language used for teaching
English - French
- 57h (22h 30min lectures - 22h 30min tutorials - 12h practical work)
- 6 ECTS credits
- Course code
254-1-11
- Language used for teaching
Cross Curricular Units Mandatory
-
LV1 Anglais
Mandatory
- Language used for teaching
English - French
- 24h (24h tutorials)
- 2 ECTS credits
- Course code
254-1-01
- Language used for teaching
-
Mathématiques et R&D (Semaine Maths-Entreprise)
Mandatory
- Language used for teaching
French
- 30h (30h work in accompaniment)
- 2 ECTS credits
- Course code
254-1-02
- Language used for teaching
-
Séminaires juniors
Mandatory
- Language used for teaching
French
- 30h (30h work in accompaniment)
- 2 ECTS credits
- Course code
254-1-03
- Language used for teaching
Minor: Machine Learning and Artificial Intelligence (Beginners) Mandatory
-
Machine Learning and artificial intelligence (for beginners)
Mandatory
- Language used for teaching
French - English
- 50h (7h 30min lectures - 7h 30min tutorials - 35h practical work)
- 6 ECTS credits
- Course code
254-1-71
- Language used for teaching
Programming Tools and Methods Mandatory
-
Python
Mandatory
- Language used for teaching
French
- 36h (6h lectures - 6h tutorials - 24h practical work)
- 4 ECTS credits
- Course code
254-1-21
- Language used for teaching
-
Ingénierie d'étude
Mandatory
- Language used for teaching
French
- 22h (3h lectures - 3h tutorials - 16h practical work)
- 2 ECTS credits
- Course code
254-1-22
- Language used for teaching
Signal and Image Processing Mandatory
-
Signal and image processing
Mandatory
- Language used for teaching
French - English
- 50h (7h 30min lectures - 7h 30min tutorials - 35h practical work)
- 6 ECTS credits
- Course code
254-1-31
- Language used for teaching
Semester 2
Cross Curricular Units Mandatory
-
LV1 Anglais
Mandatory
- Language used for teaching
English - French
- 24h (24h tutorials)
- 2 ECTS credits
- Course code
254-2-01
- Language used for teaching
-
Séminaires juniors
Mandatory
- Language used for teaching
French
- 30h (30h work in accompaniment)
- 2 ECTS credits
- Course code
254-2-03
- Language used for teaching
Minor: Machine Learning and Artificial Intelligence (Advanced) Mandatory
-
Mineure : Machine learning and artificial intelligence (advanced)
Mandatory
- Language used for teaching
English - French
- 50h (7h 30min lectures - 7h 30min tutorials - 35h practical work)
- 6 ECTS credits
- Course code
254-2-71
- Language used for teaching
Modelling, Analysis and Simulation Mandatory
-
Modelling, analysis and simulation
Mandatory
- Language used for teaching
English - French
- 66h (18h lectures - 18h tutorials - 15h practical work - 15h work in accompaniment)
- 6 ECTS credits
- Course code
254-2-11
- Language used for teaching
Numerical Methods Mandatory
-
Lattice Boltzmann
Mandatory
- Language used for teaching
French - English
- 45h (7h 30min lectures - 7h 30min tutorials - 15h practical work - 15h work in accompaniment)
- 3 ECTS credits
- Course code
254-2-21
- Language used for teaching
-
Data assimilation
Mandatory
- Language used for teaching
French - English
- 30h (7h 30min lectures - 7h 30min tutorials - 15h practical work)
- 3 ECTS credits
- Course code
254-2-22
- Language used for teaching
Optimisation and Random Dynamics Mandatory
-
Optimization
Mandatory
- Language used for teaching
English - French
- 23h (7h 30min lectures - 7h 30min tutorials - 8h practical work)
- 3 ECTS credits
- Course code
254-2-31
- Language used for teaching
-
Random dynamics
Mandatory
- Language used for teaching
English - French
- 23h (7h 30min lectures - 7h 30min tutorials - 8h practical work)
- 3 ECTS credits
- Course code
254-2-32
- Language used for teaching
Stage Mandatory
-
Maths et R&D (Stage 2 semaines)
Mandatory
- Language used for teaching
French
- 2 ECTS credits
- Course code
254-2-02-STAG
- Language used for teaching
Semester 3
Advanced Tools and Methods for Signal and Image Processing Mandatory
-
Advanced tools and methods for signal and image processing
Mandatory
- Language used for teaching
French - English
- 48h (13h 30min lectures - 13h 30min tutorials - 21h practical work)
- 6 ECTS credits
- Course code
254-3-11
- Language used for teaching
Cross Curricular Units Mandatory
-
LV1 Anglais
Mandatory
- Language used for teaching
English - French
- 24h (24h tutorials)
- 2 ECTS credits
- Course code
254-3-01
- Language used for teaching
-
Mathématiques et R&D (Semaine Maths-Entreprise)
Mandatory
- Language used for teaching
French
- 30h (30h work in accompaniment)
- 2 ECTS credits
- Course code
254-3-02
- Language used for teaching
-
Séminaires juniors
Mandatory
- Language used for teaching
French
- 29h 30min (10h practical work - 19h 30min work in accompaniment)
- 2 ECTS credits
- Course code
254-3-03
- Language used for teaching
Deep Learning Mandatory
-
Deep learning
Mandatory
- Language used for teaching
English - French
- 69h (19h 30min lectures - 19h 30min tutorials - 30h practical work)
- 6 ECTS credits
- Course code
254-3-31
- Language used for teaching
Geometry for Science Mandatory
-
Geometry for science
Mandatory
- Language used for teaching
English - French
- 40h 30min (10h 30min lectures - 10h 30min tutorials - 9h practical work - 10h 30min work in accompaniment)
- 6 ECTS credits
- Course code
254-3-21
- Language used for teaching
Minor: Machine Learning and Artificial Intelligence (Practical Approach) Mandatory
-
Machine learning and artificial intelligence (practical approach)
Mandatory
- Language used for teaching
English - French
- 49h (4h 30min lectures - 4h 30min tutorials - 40h practical work)
- 6 ECTS credits
- Course code
254-3-41
- Language used for teaching
Semester 4
Work Placement Mandatory
-
Work Placement (18 weeks)
Mandatory
- Language used for teaching
French
- 30 ECTS credits
- Course code
254-4-01-STAG
- Language used for teaching
AFTERWARDS
Further Education
- PhD
Activity areas
- Bank, insurance
- Management, business management, accounting
- Teaching, research
Professions
- Design and research engineer (R&D);
- Engineer and manager of production and control methods;