Data Science
The Nebraska Difference
Hands-On Learning
Assist distinguished faculty in groundbreaking research.
Develop Career Skills
Apply mathematical and scientific skills to solve real-world problems.
Interdisciplinary Program
Discover practical applications through interdisciplinary contexts and experiences.
Three Pathways For Data Science
College of Agricultural Sciences and Natural Resources
Take additional courses geared toward developing communication and collaboration skills and gain breadth in an allied discipline by selecting a minor in the college.
College of Arts and Sciences
Gain a strong, flexible degree from multidisciplinary courses while learning to problem solve with large data sets. Choose to add a minor that compliments and enhances the major.
College of Engineering
Learn about data collection and visualization, foundations of computational methodologies, software and hardware applications and more.
Program Features
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.
Professional Development
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.
Undergraduate Research
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.
Notable Courses
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
Internships
- Data science intern, Ameritas
- Data engineering intern, John Deere
- Software development intern, Sandhills Global
- UX design intern, Microsoft
- Software engineering intern, Lockheed Martin
- Application development intern, Buildertrend
Careers
- Data engineer, Hudl
- GIS web developer/analyst, The North Jackson Company
- Statistical analyst, Experian
- Mobile software engineer, Epic
- Database developer, Sandhills Global
- Software engineer, Microsoft
Graduate Schools
- Ph.D., Economics, University of Tennessee
- Master's degree, Computer Science, University of Malaya
- Ph.D., Neural Computation, Center for Neural Basis of Cognition
- Ph.D. Computer Science or MBA, University of Nebraska–Lincoln
- M.S. Information Networking, Carnegie Mellon University
- M.S. Computer Science, University of Southern California
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.
In our Senior Design course, students spend a full academic year working on a team to complete a real-world project for an industry or faculty sponsor.
Many of our students join faculty in their research labs to gain research experience in a specific area of computing. Our NIMBUS Lab allows students to study and participate in drone development.
Intern for Credit
Gain career experience while completing academic requirements by earning course credit for one approved internship.
Our Learning Assistant Program is dedicated to helping first-year computing majors succeed through partnerships with upper-level students, academic support and improved learning experiences.
Featured Faculty
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.
Career Preparedness
- 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.
Community
- 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.
- Contact Name
- Sue Ellen Pegg
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- College of Agricultural Sciences and Natural Resources
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- Contact Name
- Nicholas Gordon
- Contact Title
- College of Arts and Sciences
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- Contact Name
- Jeff Beavers
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- College of Engineering
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