Specialty in Maths Domain of Science, Technologies, Health Specialty in Electronics, Electrotechnics, Automation, Maths and IT Table of contents: Access directly the paragraph you are interested in... Download | Objectives | Admission | Careers | Organisation of studies | Internship | Contacts and registrations Download Organisation of the specialty in Electronics, Electrotechnics, Automation, Maths, Computer Science Organisation of the specialty in Maths Specialties in 2nd year of Master’s Degree: - Mathematical modelling for the engineer’s sciences - P - Maths - R - Statistics for assessment and prospective - P - Application for the specialty in Mathematical modelling - Faculty' description of the degree in Statistics for assessment and prospective - P - Faculty’s description of the degree in Mathematical modelling for the engineer’s sciences - P - Faculty’s description of the degree in Maths - R Objectives The course within the specialty in Maths aims at providing students with advanced skills in Maths so they can access teaching careers (Examination of aptitude for teaching), research in Maths, an engineer-level position in industry or service (banks, insurance agencies).
The Degree helps develop analysis and modelling capabilities when facing a complex situation that can be mathematically expressed so as to develop initiative when searching appropriate answers and when reasoning, drafting or presenting results clearly. table of contents
Admission In first year of Master's Degree (M1): admission by right for graduates of an Undergraduate Degree in Maths, Applied Maths, and Fundamental Maths. Appointment request to register in July or September on www.univ-reims.fr In second year of Master’s Degree (M2): admission on application for graduates from the first year of Master’s Degree. Applications are available on request to the person in charge of the Degree. table of contents
Careers Specialty in Statistics for assessment and prospective:The Specialty aims at training future statisticians working upstream from economic and social prospective assessment approaches. More particularly, it aims at training executives with asserted and thorough skills in quantity and data processing, statistics, econometrics and data mining. Specialty in Mathematical Modelling for the Engineer’s sciences: The specialty aims at training engineer-level executives for design and R&D careers. The executives have skills in mathematical modelling, statistics, digital analysis, digital simulation software development and integration, and, for physical sciences, in mechanics, signal and communications processing.
Research Specialty in Maths: ull; Preparation to continue with a PhD in one of the fundamental Math research laboratory departments. • Preparation to continue with a PhD in Applied Maths up to the selection of Teaching Units (UE). • Preparation for the Examination of aptitude for teaching, with the option to continue with a PhD in one of the fundamental Math research laboratory departments. • Preparation for the Examination of aptitude for teaching, with the option to continue with a PhD in Applied Maths. table of contents
Organisation of studies The Master’s Degree is split into two years of two semesters each. Each semester is worth 30 ECTS credits, the full Master’s Degree is hence worth 120 credits.1st year of Master’s Degree (M1) in Maths. 2nd year of Master’s Degree (M2): 3 possible specialties: - specialty in statistics for assessment and prospective - professional - specialty in Mathematical modelling for the engineer’s sciences - professional - specialty in Maths - research table of contents
Internship 2nd year of Master’s Degree (M2): internship in a company or a laboratory in the 10th semester.table of contents
Contacts and registrations Pr. P. LEVY-BRUHL Département de Mathématiques et Informatique Phone: 03.26.91.33.94 Front desk: 03.26.91.32.16 Fax: 03.26.91.33.97 Email: pierre.levy-bruhl@univ-reims.frSecrétariat Département Mathématiques et Informatique UFR Sciences Exactes et Naturelles Moulin de la Housse B.P 1039 51687 REIMS CEDEX 2 |