MISS Track – Mathematics and Computer Science for Social Sciences
The Mathematics and Computer Science for Social Sciences (MISS) track trains students to analyze, model, and interpret social, economic, and demographic phenome...
Cycles & Niveaux
Licence
Durée des études
3 years
Crédits ECTS
180 ECTS (B1-B3)
Mention de Rattachement
MA
Fiche Technique du Parcours
3 years (6 semesters)
Faculté des Sciences • Université de Fianarantsoa
Towards Master & Ph.D
This track seamlessly prepares for specialized Master degrees and partner Doctoral Schools.
View Doctoral SchoolsPrésentation du Parcours
The Mathematics and Computer Science for Social Sciences (MISS) track trains students to analyze, model, and interpret social, economic, and demographic phenomena using mathematical, statistical, and computational tools. It focuses on data analysis, applied statistics, programming, and decision support in social sciences.
Objectifs & Compétences Visées
- Train specialists in quantitative analysis applied to social sciences;
- Develop skills in statistics, econometrics, and data analysis;
- Introduce programming and computational tools for data processing;
- Prepare students for careers in planning, monitoring and evaluation, and applied research.
Programme & Organisation des Études
- General and applied mathematics
- Probability and statistics
- Data analysis and descriptive statistics
- Econometrics
- Computer science and programming (Python, R, databases)
- Quantitative methods in social sciences
- Applied project or internship
Autres parcours de cette Mention
Discover other tracks offered in the Mathematics and Applications Program mention.
ME Track – Mathematics and Economics
The Mathematics and Economics (ME) track focuses on the application of mathematics to economic and financial analysis. It trains students to model economic phenomena, analyze economic data, and support decision-making in both public and private sectors.
MF Track – Fundamental Mathematics
The Fundamental Mathematics (MF) track is designed for students seeking a deep theoretical foundation in mathematics. It emphasizes rigor, proof techniques, and the fundamental structures of mathematics, preparing students for research and higher education teaching.