
Data Analysis Fall25
This research-focused course provides hands-on experience in applying statistical and data-driven methods to real-world data. Emphasizing independent inquiry and critical analysis, students will enga…
- Enseignant: IMAN AL-HASANI
Survival Analysis fall25
Survival Analysis is a statistical field focusing on time-to-event data analysis. This course covers concepts like survival and hazard functions, censoring, Kaplan-Meier estimation, parametric models…
- Enseignant: AMADOU SARR
- Enseignant: AMIRA AL AAMRI
- Enseignant: KHALID AL-AMRI

Discovering Statistics Using R || Fall25
This course aims to empower students with statistical tools using R, a popular choice in data analytics for statistical computing and graphics that is widely used in sciences and social sciences. The…
- Enseignant: Ahmed Al-hadhrami
- Enseignant: IMAN AL-HASANI
- Enseignant: Muhammad Farooq
Final Year Project - Part II Fall25
In the FYP course, students will apply knowledge from various subjects to investigate a specific, real-world problem. They are expected to draw a conclusion or make a recommendation based on the fi…
- Enseignant: MARYAM AL ALAWI
Inference I Fall25
Dear Sir,
Please create an account for the course STAT3239 "Inference I".
Many thanks
Best regards
- Enseignant: MARYAM AL ALAWI
- Enseignant: MOUNIR ARFI

Introduction to Statistics || Fall25
This is an introductory course in Statistics designed for students with no background in Statistics and with a limited background in mathematics. The topics to be covered include: basic concepts of d…
- Enseignant: Moza Al-Balushi
- Enseignant: Ahmed Al-hadhrami
- Enseignant: Ahmed Al Hadhrami
- Enseignant: Yasir Al-Harthi
- Enseignant: AMANI AL- RUBKHI

Final Year Project I - Fall25
The Final Year Project (FYP) in Statistics comprises two semesters: STAT5501 and STAT5501. The FYP course cultivates critical thinking and research skills by requiring students to integrate knowledge…
- Enseignant: MARYAM AL ALAWI
Introduction to Statistical Learning Fall24 fall25
The course aims at imparting new emerging techniques for predictive learning. The course covers wide range statistical learning methods for supervised learning with real life applications using R/Pyt…
- Enseignant: Muhammad Farooq
Advanced programming with R - Fall 2025
In this course, students master statistical packages and learn how to develop powerful, reusable tools for data science using R. Going beyond basic coding, students dive into the computational proces…
- Prof.: RONALD WESONGA
Statistical Inference I Fall24 fall25
This course reviews the population parameters and sample statistics and covers, Sampling distributions, Central Limit Theorem, Order statistics, Methods for finding point estimators, Properties of po…
- Enseignant: MOH'D ALODAT
- Enseignant: BRAHIM BENAID