Postgraduate Program & Research

Master in Applied Statistics

The Applied Statistics program is designed to provide students with a comprehensive understanding of statistical theory, methodologies, and their practical applications in various fields. The program combines rigorous coursework with hands-on experience in data analysis, allowing students to develop the skills necessary to analyze complex data sets, make informed decisions, and solve real-world problems using statistical methods. The program covers a wide range of topics in statistics, including probability theory, statistical inference, regression analysis, experimental design, multivariate analysis, time series analysis, and statistical computing.

2 years in four semesters

Duration

45

Total Credit Hours

$ 2950

Program Fee

Program Description

Program Goals

The goals of the program are:

Develop Strong Statistical Foundation

Provide students with a solid foundation in statistical theory, methods, and techniques. Students will gain a deep understanding of statistical concepts, probability theory, and statistical models.

Apply Statistical Methods

Equip students with the ability to apply statistical methods to real-world problems and datasets. Students will learn how to choose appropriate statistical techniques, design experiments, conduct data analysis, and interpret results.

Data Analysis and Interpretation

Train students in the practical aspects of data analysis, including data management, exploratory data analysis, and visualization techniques. Students will learn how to analyze and interpret data to draw meaningful insights and make informed decisions.

Statistical Computing Skills

Familiarize students with statistical software packages and programming languages commonly used in statistical analysis, such as R, Python, STATA, SPSS, AMOS and SmartPLS, Students will develop computational skills to implement statistical methods, conduct simulations, and perform data manipulation.

Communication and Collaboration

Enhance students’ ability to communicate statistical concepts and results effectively to both technical and non-technical audiences. Students will also develop collaborative skills to work in interdisciplinary teams on data-driven projects.

Ethical and Responsible Data Analysis

Foster an understanding of ethical considerations and responsible practices in statistical analysis, including data privacy, confidentiality, and proper handling of sensitive information.

Core Courses

Descriptive Statistics and Probability Theory
Sampling Theory and Survey Analysis
Statistical Computing, I (Minitab, SPSS, STATA)
Research Methods and Publication Ethics
Regression Analysis
Statistical Inference
Statistical Demography
Statistical Computing II (R, MATLAB, Python)
Biostatistics
Time Series Analysis
Multivariate Statistical Analysis
Nonparametric Statistics
Master’s thesis

Career Opportunities

The Master’s degree in Applied Statistics offers a diverse career. Graduates can work as data analysts, statisticians, data scientists, market research analysts, operations research analysts, risk analysts, quality control analysts, biostatisticians, and econometricians, or pursue research and teaching positions.

Program Fee

$ 2950

Admission Requirements

To be eligible for enrolment onto the above programs an applicant must have the following:

Assessment and Grading

Course Work

Course Work 30%

Final Exam

Final Exam 70%

Have questions about this program?

Get in touch with the Postgraduate Program & Research office at Mogadishu University.