2025-2026 Undergraduate Catalog 
    
    May 25, 2025  
2025-2026 Undergraduate Catalog

Data Science & Applied Statistics (BS)


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Program Description

Vermont State University’s Bachelor of Science in Data Science & Applied Statistics program takes an interdisciplinary approach, drawing on a combination of the liberal arts tradition and a technical focus, to produce graduates who are skilled consumers, creators, and communicators of data and statistical analyses. Students may elect to concentrate in Data Science or Applied Statistics, where they will focus on more computational or mathematical approaches to problem solving.

Data Science is an emerging field which uses statistical computation to make data-based decisions, inferences, and predictions. The Data Science skill set is highly sought after in the labor market. Foundational technical skills are developed in a sequence of existing courses in the Computer Science, Mathematics, and Statistics Department, career skills are honed by selecting electives from existing courses in the Business Administration, Psychology, or Social Sciences Departments, and data science-specific skills are developed through targeted coursework.  

Students concentrating in Applied Statistics will be equipped to interpret, model, and analyze data through inferential statistics in real world applications. Data analytics and big data are key to making sound analytical and modeling decisions. The statistics program prepares students for high in-demand careers in academics, government, nonprofits, business, system analysts, and a variety of other industries. Statistics is a process that deals with collecting data, processing the data (organizing), and exploring the data through inferential statistics to draw real world conclusions. The purpose of VTSU’s statistics program is to disseminate data to ascertain pertinent statistical inferences to make educated and reinforced conclusions.  

Common Program Outcomes

  1. Analyze data and big data; utilize computational skills, algorithms, and theoretical knowledge to solve problems.   
  2. Develop and comprehend Statistical thinking and communicate Statistics effectively through oral and written methods by using modeling and inferential statistics. 

Applied Statistics Concentration Outcomes

  1. Choose and employ current technologies (including Statistical software) to explore phenomenon, modeling, analyze data, and making inferences.   
  2. Design Statistical experiments using appropriate analytical methods and scales. 

Data Science Concentration Outcomes

  1. Program in a computer programming language with extensibility 
  2. Acquire, store and manage data in a variety of formats, and scale 

Credits Required for Major: 44-60


Graduation Requirements


To obtain a degree, students must fulfill the major-specific requirements as well as satisfy all other Degree Requirements  including the Connections General Education Program Requirements .

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