B.S. Data Science
Concordia University, Nebraska’s data science program is a dynamic and interdisciplinary field that prepares students to tackle complex challenges in the age of big data.
Rooted in a comprehensive curriculum blending computer science, statistics and domain-specific knowledge, Concordia’s data science major can
- Equip you with the analytical tools and techniques necessary to extract meaningful insights from vast datasets.
- Deliver hands-on learning experiences, leveraging cutting-edge technologies and software platforms to manipulate, visualize and interpret data effectively.
- Foster critical thinking and problem-solving skills, empowering you to address real-world issues across industries.
- Prepare you to excel in a rapidly evolving field.
Use statistics and data to find insights, make informed decisions and drive innovation!
Program Highlights
WHY STUDY Data Science AT CONCORDIA?
Concordia University, Nebraska’s data science program combines theory and practical applications to prepare students for careers in the data industry. You will learn the foundations of mathematics, computer science and statistics that power artificial intelligence and other data systems. Here, you can supplement your classes with learning opportunities such as internships and extracurricular academic activities.
Dunklau Center for Science, Math and Business
Concordia’s innovative Dunklau Center for Science, Math and Business is home to the computer science and mathematics programs and includes experiential and collaborative learning spaces. The Dunklau Center features:
- Two computer science labs for hands-on learning with computer servers, circuits and more
- Dedicated project spaces for students to incubate their ideas
- Study spaces for large- and small-group collaboration
- Dell and Apple devices
- Docking stations with ultra-wide monitors for students to seamlessly convert their own laptops into powerful workstations
Programming Team
You can also join Concordia’s programming team and become part of a community dedicated to becoming better programmers and software developers. You’ll have the opportunity to compete in national and international collegiate programming contests and competitions, as well as working on collaborative software development projects and developing and maintaining software systems. Get real-world coding experience that benefits the entire campus community!
A limited number of Programming Team scholarships are available for incoming freshmen who can commit to participating in team events and maintain a 3.0 or higher GPA.
Learn more about Concordia’s Programming Team
Accreditation
Concordia University, Nebraska is accredited by the Higher Learning Commission, a regional accreditation agency recognized by the U.S. Department of Education.
Degree Goals
A data science graduate from Concordia University, Nebraska will be able to:
- Analyze a complex computing problem and apply principles of data science to identify solutions.
- Design and implement data solutions.
- Evaluate solutions based on data science theory.
- Communicate and collaborate effectively within a team engaged in solving computing problems.
- Make informed judgements with professional and ethical principles based on Biblical truths.
- Apply theory, techniques and tools of data science in a variety of contexts.
Computer Science and Mathematics Minors
- Computer Science
- Cybersecurity
- Information Technology
- Mathematics
Career Outcomes
Data Scientist
- Use math, computer skills and deep understanding of different subject to uncover valuable insights from large data sets
- Analyze data to find patterns, make predictions and solve complex problems in various fields such as healthcare, finance and technology
- Turn data into actionable knowledge that can change the world
Data Engineer
- Design, construct and maintain the systems and pipelines that collect, process and store vast amounts of data efficiently and securely
- Ensure that data flows smoothly and reliably
Data Analyst
- Collect, clean and analyze data to answer specific questions or solve problems
- Transform raw information into actionable insights that businesses can use to make informed decisions
- Help businesses understand customers better, improve their operations and achieve their goals
Computer science is a broad field that encompasses the study of algorithms, programming languages, software engineering and computer systems. It focuses on the theory, design, development and application of computer systems and software.
Data science, on the other hand, is a specialized field within computer science that focuses specifically on extracting insights and knowledge from data. It combines elements of computer science, statistics and domain expertise to analyze and interpret complex datasets. Data science involves processes such as data collection, cleaning, analysis, visualization and interpretation to derive insights and make informed decisions.
In essence, while computer science deals with the general principles and practices of computing, data science is more narrowly focused on the analysis and interpretation of data to solve specific problems and make predictions.
Here, you’ll gain a strong foundation in mathematics, statistics and programming as part of your data science curriculum. You’ll study programming languages such as Python, data manipulation and analysis techniques. Additionally, you'll study domain-specific knowledge in areas such as business, finance, healthcare and computer science to be able to apply data science techniques effectively in real-world contexts.
With a data science degree, you can pursue a variety of rewarding career paths across different industries. Here are some examples:
- Data Scientist
- Work with large datasets to extract insights, build predictive models and develop data-driven solutions to complex problems in fields like healthcare, finance, marketing and more.
- Data Analyst
- Collect, clean and analyze data to identify trends, patterns and correlations that can inform business decisions and strategies.
- Machine Learning Engineer
- Develop and deploy machine learning algorithms and models to automate processes, improve efficiency and make predictions based on data.
- Data Engineer
- Design, build and maintain data pipelines and infrastructure to ensure efficient and reliable storage, processing and retrieval of data for analysis.
- Business Intelligence Analyst
- Use data visualization tools and techniques to create dashboards and reports that provide insights into business performance and help stakeholders make informed decisions.
- Quantitative Analyst
- Apply mathematical and statistical methods to analyze financial data, develop trading strategies and optimize investment portfolios in the finance industry.
- Data Scientist in Research
- Work in academia or research institutions to analyze data and contribute to scientific discoveries and advancements in fields such as biology, genetics, climate science and more.
- Data Science Consultant
- Provide expertise and guidance to businesses and organizations on how to effectively use data to solve problems, improve operations and achieve their goals.
These are just a few examples, as the field of data science is continually evolving, creating new opportunities and career paths for those with the necessary skills and expertise.
Related Programs
Computer Science
Concordia University, Nebraska’s computer science program is designed to help you meet current and future challenges in technology- and application-related fields. Here, you can gain a strong fundamental foundation with an emphasis on practical functions of theoretical concepts.
Management Information Systems
Management information systems is a dynamic career field focused on employing technologies in ways that help businesses and organizations achieve their strategic goals and operational objectives. Information systems have become increasingly important as technology advances, creating a high demand for skilled individuals.
Mathematics
Studying mathematics can help you develop basic skills such as arguing logically and rigorously, thinking abstractly, formulating and solving problems, analyzing data, and creating and analyzing mathematical models. As a math major, you will find yourself in demand by employers for careers in a wide spectrum of fields.
1 Recent graduates attending graduate school or employed within six months of graduation.