Bachelor of Science in Applied Statistics


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Course Overview

The field of applied statistics involves analyzing and collecting data, calculating functions, estimating and testing hypotheses. Continue reading to learn about the most common course offerings and training programs in applied statistics. Download Course Catalog.

Program Structure:

Course Code First Semester Courses Credit
STA 101 Communication Skills 5
STA 102 Descriptive Statistics 5
STA 103 Problem Analysis and Statistics 5
STA 104 Computer Fundamentals and Application 5
STA 105 Statistical Methodology 5
STA 106 Calculus 5
TOTAL CREDITS 30
Course Code Second Semester Courses Credits
STA 111 Probability and Statistics 5
STA 112 Statistical Physics 5
STA 113 Parametric Statistics 5
STA 114 Development Studies 5
STA 115 Statistics 5
STA 116 Statistics for Economics Analysis 5
TOTAL CREDITS 30
Course Code Third Semester Courses Credit
STA 201 Principle of Economy 5
STA 202 Problem and Variables 5
STA 203 Development Economics 5
STA 204 Macro-Economics 5
STA 205 Principles of Accounting 5
STA 206 Data Structure 5
TOTAL CREDITS 30
Course Code Fourth Semester Courses Credit
STA 211 Micro-Economics 5
STA 212 International Social Statistics 5
STA 213 Economic Decision Analysis 5
STA 214 Economics  of Industry 5
STA 215 Theory of  Computations 5
STA 216 Elementary 5
TOTAL CREDITS 30
Course Code Fifth Semester Courses Credit
STA 301 Industrial Sociology 5
STA 302 Agricultural Marketing 5
STA 303 Computer Analysis of Data 5
STA 304 Computer Programming 5
STA 305 Concepts and Process of Editing 5
STA 306 Differential Equation 5
TOTAL CREDITS 30
Course Code Sixth Semester Courses Credit
STA 311 Mathematical Methods 5
STA 312 Linear Algebra and Geometry 5
STA 313 Econometric 5
STA 314 Monitoring and Evaluation 5
STA 315 Bachelor Thesis 10
TOTAL CREDITS 30

 

Career Opportunities

While there is no fixed list of occupations that follow from a major in statistics, the most common career paths of graduating students fall into some broad categories. The Department has designed the concentrations (and course requirements for each concentration) to help students prepare for a career in one of these main categories. Here, in an unordered list, are some of the main career categories:

    • Actuarial science.
    • Data science.
    • Information technology and computing.
    • Business, management, consulting.
    • Teaching at the elementary or secondary school level.
    • Graduate study in mathematics or statistics, especially for an academic career.
    • Graduate study in applied mathematics or statistics, for a career in industry, business or

government.

  • Graduate study in an interdisciplinary field related to the mathematical and statistical sciences.