Bachelor's in Statisticsdrafted

Program Overview

Columbia College's Bachelor's in Statistics equips students with analytical skills for a data-driven world. The program emphasizes data analysis, problem-solving, and critical thinking. Students can specialize in areas like biostatistics or data science through elective courses. Graduates are prepared for careers in various fields that rely on data analysis, such as data science, statistics, and business analytics.

Program Outline

Bachelor's Degree in Statistics at Columbia College

Degree Overview:

• Overview: The Bachelor of Science in Statistics program equips students with the analytical skills needed to navigate an increasingly data-driven world.
The program emphasizes using data to solve complex problems and make informed decisions.
• Objectives:
• Provide students with a solid foundation in statistical theory and methods.
• Develop students' skills in data analysis and interpretation.
• Cultivate critical thinking and problem-solving skills.
• Prepare students for careers in various fields that rely on data analysis.
• Description: The program features a rigorous curriculum, including courses in:
• Probability theory
• Mathematical statistics
• Survey sampling
• Statistical inference
• Regression analysis
• Time series analysis
• Data visualization

Outline:

• Course structure: The program consists of a sequence of core courses and elective courses.
• Core courses provide a foundation in statistical theory and methods.
• Elective courses allow students to specialize in areas of interest, such as biostatistics, business analytics, or data science.
• Course schedule: The program is designed to be flexible and can be completed in various formats.
• Traditional classroom instruction: offered at nationwide locations and on the Residential Campus in Columbia, Missouri.
• Evening or online classes: offered for those seeking a flexible learning option.
• Modules:
• The curriculum may include the following modules:
• Statistics for the Behavioral and Natural Sciences
• Multivariate Calculus
• General Linear Models
• Machine Learning
• Discrete Mathematics
• Data Visualization for Business Analytics
• Spreadsheet Modeling and Decision Analysis

Assessment:

• Assessment methods: The program uses various assessment methods, including:
• Exams
• Assignments
• Projects
• Presentations
• Assessment criteria: The program assesses students on their ability to:
• Apply statistical methods to real-world problems.
• Interpret data and draw meaningful conclusions.
• Communicate their findings effectively.
• Think critically and solve problems.

Teaching:

• Teaching methods: The program uses a variety of teaching methods, including:
• Lectures
• Discussions
• Case studies
• Group projects
• Simulations
• Computer-aided instruction
• Faculty: The program features experienced and dedicated faculty with expertise in various areas of statistics.
• Unique approaches: The program utilizes various unique approaches, including:
• Hands-on learning experiences through projects and simulations.
• Access to cutting-edge software and technology.
• Collaboration with faculty on research projects.

Careers:

• Career paths: Graduates can pursue careers in various fields, including:
• Data scientist
• Statistician
• Business analyst
• Actuary
• Market researcher
• Quantitative analyst
• Research scientist
• Opportunities: The program prepares students for diverse opportunities in various industries, including:
• Government
• Business
• Healthcare
• Research
• Outcomes: The program boasts a strong track record of graduates securing positions in various organizations and industries.

Other:

• Minor options: Students can pair their degree with a minor in a related field, such as computer science, mathematics, or economics.
• Flexibility: The program offers both online and on-campus learning options, providing flexibility for students with various needs and schedules.
• Dedicated support: The program offers personalized support services, including academic advising and career counseling.