Program Overview

University Program Information

Overview

The university offers various programs, including Bachelor, Master, Doctoral, and Continuing Education programs. The programs are designed to provide students with a comprehensive education in their chosen field.

Faculties and Colleges

The university is composed of several faculties and colleges, including:

• Faculté de l'environnement naturel, architectural et construit (ENAC)
• Faculté des sciences de base (SB)
• Faculté des sciences et techniques de l'ingénieur (STI)
• Faculté informatique et communications (IC)
• Faculté des sciences de la vie (SV)
• Collège du management de la technologie (CDM)
• Collège des humanités (CDH)

Master Programs

The university offers various Master programs, including:

• Master in Statistics
• Master in Mathematics
• Master in Computer Science
• Master in Engineering
• Master in Life Sciences

Master in Statistics

The Master in Statistics program is designed to provide students with a comprehensive education in statistical theory and methods. The program includes courses in:

• Applied Statistics
• Multivariate Statistics
• Randomization and Causation
• Regression Methods
• Statistical Computation and Visualization
• Statistical Inference

Course Structure

The Master in Statistics program consists of several courses, including:

• Bloc 1: Cours
  • Applied statistics
  • Multivariate statistics
  • Randomization and causation
  • Regression methods
• Bloc 2: Cours
  • SHS: Introduction au projet
  • SHS: Projet
• Groupe 1: Cours
  • Algorithms II
  • Applied biostatistics
  • Applied data analysis
  • Bayesian statistics
• Groupe 2: Cours
  • Travail de spécialisation pour master en statistique
• Projet de Master
  • Projet de master en statistiques

Research Areas

The university has several research areas, including:

• Data Science
• Machine Learning
• Artificial Intelligence
• Biostatistics
• Environmental Statistics
• Financial Statistics

Admission Criteria

The admission criteria for the Master in Statistics program include:

• A Bachelor's degree in a relevant field
• A strong background in mathematics and statistics
• English language proficiency

Tuition Fees

The tuition fees for the Master in Statistics program vary depending on the student's nationality and residency status.

Conclusion

The university offers a comprehensive range of programs, including the Master in Statistics program. The program is designed to provide students with a thorough education in statistical theory and methods, and prepares them for careers in data science, machine learning, and other fields. The university's research areas and admission criteria are also outlined, providing students with a clear understanding of the program's requirements and opportunities.