Data Science Minor

Data Science Minor

IN THIS SECTION

Enhance your major with a Data Science Minor.

Data is being generated at high speed, in large volumes, and by a variety of systems around the world. In such a data-driven and information-centric world, the ability to analyze information and make informed decisions is crucial to every field including business, medicine, the sciences, entertainment, and government.

You will develop the ability to effectively apply discipline knowledge to solve real-world problems, adapt as the field changes, and make ethical decisions. The curriculum provides the foundations of team skills and allows you to improve your interpersonal skills and professional attitudes. You will have an opportunity to participate in an internship and in undergraduate research.

A laptop computer running Windows, macOS, or Linux is required for courses in the computer science program. A Chromebook will not work.

Explore sample courses in this program.

MA-150 Statistics I

Descriptive techniques, elementary probability, distribution of the sample mean, confidence intervals, hypothesis testing of the means of 1 and 2 samples, linear regression, and correlation.
3 credits

CS-131 Data Visualization and Statistical Analysis

The course focuses on basic data visualization methods, basic statistical analysis, use of R, current visualization, and statistical analysis tools.
3 credits

CS-141 Data Cleaning and Preprocessing

The course focuses on basic data cleaning and preprocessing tasks, basic methods to perform them, and methods to generalize and summarize data.
3 credits

CS-265 Database Applications

This course introduces basic database concepts and teaches how to create and manage a database and relational databases and use SQL and NoSQL databases.
3 credits

CS-234 Data Mining for Non-CS Majors

This course introduces basic data mining problems and methods to solve them: classification, numerical prediction, clustering, association rule mining.
3 credits

SO-275 Social and Behavioral Statistics

Data tabulation; graphing; measurement of central tendency, variability, and correlation; hypothesis testing applied to psychological and sociological data. Hand and computer analysis.
3 credits

CS-383 Cloud, Parallel, and Distributed Computing

The course introduces basics of cloud computing and fundamental computing technologies used for big data platforms such as parallel, distributed computing.
3 credits

UR-230 Technology, Public Policy, and Urban Society

Examination of high-technology and its impact on urban society in areas such as privacy, ethics, intellectual property rights, sense of community, and access to information and services.
3 credits

PH-134 Computing Ethics

An introduction to significant issues in the ethics of computing, including the application of ethical theories to the development of technology, cyberculture, and artificial intelligence, as well as some distinct ethical theories that emerge from thinking about computing and information technology.
3 credits

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