Hours Required120 credit hours
Areas of FocusApplied Computing: Journalism and Humanities, Applied Computing: Natural Resources, Applied Computing: Sociology, Artificial Intelligence, Data Pipeline, Mathematical Modeling, Software Development, Statistical Modeling
The Nebraska Difference
Assist distinguished faculty in groundbreaking research.
Develop Career Skills
Apply mathematical and scientific skills to solve real-world problems.
Discover practical applications through interdisciplinary contexts and experiences.
Three Pathways For Data Science
Silicon Prairie Location
The university is within walking distance of dozens of local tech startups and thriving companies. Students don’t have to look far to land a great internship or a first job.
Take courses specifically geared toward career preparation, including statistical collaboration, writing, presentation and code documentation. Further your development as a collaborator by working with consulting clients in a capstone course.
Our students are invited and encouraged to participate in faculty-supervised research supported by grants and the Undergraduate Creative Activities and Research Experience (UCARE) program.
Computer Science Informatics Focus (CSCE 155T)
Introduction to computer problem solving methods, software development principles, computer programming and computing in society.
Data Analysis (CSCE 320)
Practical experience on how to model data through existing techniques, including object-oriented and relational models.
Technical Skills for Statisticians (STAT 349)
Creation of research reports, business reports and executive summaries, with a focus on real-world applications in research, business and public service.
Advanced Social Network Analysis (SOCI 430)
Theoretical/conceptual ideas at the heart of the network approach, how to interpret network data and how to apply network ideas and methods to social problems.
Computer Science Professional Development (CSCE 486)
Professional practice through familiarity with current tools, resources and technologies. Professional standards, practices and ethics and report styles used specifically in the field of computer science.
Development of Statistical Software (STAT 451)
Advanced statistical software development. Packaging code into functions, intelligent software design, compiled languages to speed up code, development and release cycles.
Explore the 4-Year Plans
Huskers Do Big Things
Outside the Classroom
Get the most out of your collegiate experience by taking advantage of opportunities to get involved. Challenge yourself and make meaningful connections along the way.
Petronela Radu, Department Chair
Dr. Radu is one of the faculty who designed the data science major and created Math in the City (MATH 435). It is an interdisciplinary, hands-on course in which students utilize mathematical modeling to understand current social issues of local and national interest. Participants collaborate with local organizations that provide data and act as consultants.
Academics & Experiential Learning
- Develop foundational expertise in the mathematical, statistical and computational aspects of data science as well as its application.
- Add an additional major and at least one focus area in complementary subjects that will enrich your data science studies.
- Foundational knowledge and expertise in the analysis of large-scale data sources from the interdisciplinary perspectives of applied computer science, data modeling, mathematics and statistics.
- Abilities and professional skills to solve multidisciplinary data science problems as a member of a diverse team.
- Discover your career pathway through mentorship from faculty or members of industry.
- Become a Student Ambassador and connect with prospective students and families.
Have Questions? We're Here to Help
If you have questions about the Data Science major or navigating the application process, contact us.