[vc_row full_width=”stretch_row” parallax=”content-moving” css=”.vc_custom_1726045502009{background-color: #ffffff !important;}”][vc_column][cz_gap height=”150px” height_mobile=”70px” id=”cz_13549″]

[cz_gap id=”cz_45080″ height_mobile=”0px”][cz_tabs style=”cz_tabs_vl cz_tabs_is_v” fx=”cz_tabs_flash” id=”cz_36832″ sk_row=”background-color:#ffffff;border-style:solid;border-width:1px;border-color:rgba(255,255,255,0.1);border-radius:4px;” sk_tabs=”color:#000000;padding:10px 5px;margin-bottom:0px;border-style:solid;border-width:0px 0px 1px;border-color:rgba(255,255,255,0.1);” sk_active=”color:#485fb1;background-color:#f8d350;padding-right:20px;padding-left:20px;” sk_content_mobile=”padding-right:0px;padding-left:0px;” sk_content=”padding:30px 50px;” sk_tabs_i=”margin-right:15px;margin-left:15px;” sk_content_tablet=”padding:20px;” sk_con=”background-color:#ffffff;margin-bottom:50px;” sk_con_mobile=”margin-bottom:0px;” sk_tabs_hover=”color:#3f51b5;”][cz_tab title=”Assessment and Grading” icon=”fa czico-071-interface-1″ id=”cz_69780″][vc_progress_bar values=”%5B%7B%22label%22%3A%22Course%20Work%22%2C%22value%22%3A%2230%22%2C%22color%22%3A%22bar_blue%22%7D%2C%7B%22label%22%3A%22Final%20Exam%22%2C%22value%22%3A%2270%22%2C%22color%22%3A%22bar_blue%22%7D%5D” options=”animated” units=”%”][/cz_tab][cz_tab title=”Program Fee” icon=”fa czico-071-interface-1″ id=”cz_63386″][vc_column_text]$ 2950

1. First Semester: $750.
2. Second Semester: $750.
3. Third Semester: $750.
4. Fourth Semester: $700.

[/vc_column_text][/cz_tab][cz_tab title=”Total Credit Hours” icon=”fa czico-071-interface-1″ id=”cz_24338″]

[/cz_tab][cz_tab title=”Admission Requirements” icon=”fa czico-071-interface-1″ id=”cz_107109″][vc_column_text]To be eligible for enrolment onto the above programs an applicant must have the following:[/vc_column_text]

• Application letter.
• Original and Copies of Certificate and Transcript Authenticated by the higher education
• Valid Passport
• 4 Pictures with Color
• Payment of the registration fee: $100

[/cz_tab][cz_tab title=”Career Opportunities” icon=”fa czico-071-interface-1″ id=”cz_28410″][vc_column_text]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.[/vc_column_text][/cz_tab][cz_tab title=”Core Courses” icon=”fa czico-071-interface-1″ id=”cz_80417″][vc_column_text]

Core Courses

[/vc_column_text]

• 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

[/cz_tab][cz_tab title=”Duration” icon=”fa czico-071-interface-1″ id=”cz_109433″][vc_column_text]

Duration

[/vc_column_text]

[/cz_tab][cz_tab title=”Program Goals” icon=”fa czico-071-interface-1″ id=”cz_109046″][vc_column_text]

Program Goals

[/vc_column_text]

[cz_gap height=”40px” id=”cz_19206″]

• 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.

[/cz_tab][cz_tab title=”Program Description” icon=”fa czico-071-interface-1″ id=”cz_102982″][cz_gap height=”1px” height_tablet=”40px” height_mobile=”0px” id=”cz_51014″][vc_column_text]

Program Description

[/vc_column_text][vc_column_text]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.[/vc_column_text][/cz_tab][/cz_tabs][cz_gap height=”150px” height_mobile=”70px” id=”cz_13549″][/vc_column][/vc_row]