Graduate & Professional Standards and Regulations
Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supercede school policies.
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
OutcomesStudents 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
OutcomesStudents 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
OutcomesStudents 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
OutcomesStudents 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