Program Overview
The Applied Statistics Minor at SOU equips students with the skills to analyze data effectively, using statistical methods and software. It complements various majors, enhancing graduates' adaptability and competitiveness in data-driven fields such as business, environmental science, and education. The program prepares students for careers as data analysts, statisticians, and other data-driven professionals.
Program Outline
Degree Overview
Objective:
The Applied Statistics Minor program at SOU aims to equip students with the skills and knowledge necessary to effectively analyze data and function as data analysts in today's job market. It caters to individuals with a strong interest in mathematics and data analysis, providing them with a competitive edge in various fields.
Description:
The program focuses on statistical methods and applications, equipping students with the ability to:
- Understand and utilize statistical principles in data analysis
- Employ statistical software for data manipulation and analysis
- Interpret and communicate statistical results effectively
- Apply statistical methods to solve real-world problems in diverse fields
Fit:
This minor complements various majors, including Business, Environmental Science, and Education. It enhances specific field-based studies, making graduates more adaptable and competitive in the job market.
Outline
Structure:
The program demands the completion of 21 credits in mathematics and statistical methods courses. These courses cover key aspects of data analysis and programming, ensuring students develop robust analytical and programming skills. However, the program mentions the completion of 21 credits in specific maths and statistical methods courses. However, it broadly focuses on:
- Statistical Principles and Methods
- Data Analysis and Interpretation
- Statistical Modeling and Inference However, it is likely that students will be evaluated through a combination of:
- Assignments and projects
- Midterm and final exams
- Presentations
Careers
The program aims to prepare graduates for various data-driven careers, including:
- Data Analyst
- Statistician
- Market Research Analyst
- Biostatistician
- Actuary However, as it requires 21 credits, it can be estimated to take approximately one to two years to complete depending on the student's course load and pace.
