LOYOLA UNIVERSITY CHICAGO

2024-2025 CATALOG

The Academic Catalog is the official listing of courses, programs of study, academic policies and degree requirements for Loyola University Chicago. It is published every year in advance of the next academic year.

Data Science (DSCI)

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DSCI 101  Fundamentals of Modern Data Science with R  (3 Credit Hours)  
This course is designed to be an introduction to the basics of data science with R. Students will learn the very basics of data science and introductory programming skills for working with data.
Students will learn basic programming skills for working with different types of data as well as data visualization, data wrangling, and data management practices

Outcomes

Students will learn basic programming skills for working with different types of data as well as data visualization, data wrangling, and data management practices
DSCI 401  Introduction to Data Science  (4 Credit Hours)  
Pre-requisites: Restricted to Graduate students  
This course provides students with an introduction to data science using the R programming language covering such topics as data wrangling, data visualization, interacting with databases, principles of reproducible research, building simple statistical models/machine learning and data science ethics.
Students will obtain an extensive background in the basic tools used in the field

Outcomes

Students will obtain an extensive background in the basic tools used in the field
DSCI 470  Data Science Consulting  (2 Credit Hours)  
Pre-requisites: STAT 408  
Students will work on a research project with a client acting as a consultant on the statistical and computational aspects of the project. Students are required to meet with a client, develop a strategy for addressing their problem, and present their results to the client (and their classmates).
Students will apply methods learned in prior classes to address a real-world problem, gain oral and written presentation skills, and improve collaboration skills

Outcomes

Students will apply methods learned in prior classes to address a real-world problem, gain oral and written presentation skills, and improve collaboration skills
DSCI 494  Data Science Research Design  (2 Credit Hours)  
Restricted to DSCI Graduate students. Research practices, including data collection and management, the experimental design process, and tools for critical analysis and preparation of scientific literature will be discussed.
Students can describe and implement research design practices in data science

Outcomes

Students can describe and implement research design practices in data science
DSCI 499  Data Science Research  (1-8 Credit Hours)  
Restricted to DSCI Graduate students. Students will conduct independent hypothesis-driven data science research under faculty guidance. Research efforts will include literature surveys, research design, algorithm and software development, and data analysis.
Students can develop and utilize techniques for data science research

Outcomes

Students can develop and utilize techniques for data science research
DSCI 595  Thesis Supervision  (1 Credit Hour)  
Pre-requisites: DSCI 499  
Research under faculty guidance including training in scientific writing and the production of a thesis and research presentation.
Students will develop skills in scientific writing and presentation; At the conclusion, students will present (written and oral) the results of their research

Outcomes

Students will develop skills in scientific writing and presentation; At the conclusion, students will present (written and oral) the results of their research