Data Science (Bachelor of Science)
College of Arts and Sciences
Data science is the science of planning for, acquiring, managing, analyzing and making inferences from data. Data scientists use statistical, computational and mathematical tools to extract meaningful insights and make real-time predictions from data in all fields.
The data science major is an exciting, interdisciplinary program that provides students with the skills to successfully interact with vast quantities of data along the entire data lifecycle: from data collection to data processing; data visualization to data modeling. The data science major represents a balanced approach to modern data science by combining 23 credits from mathematics; 21 credits from journalism, media, and computing; and a collaborative, service-learning-based capstone to give students valuable real-world experience. Creighton’s data science bachelor degree program is unique because of its interdisciplinary nature: Students gain a grounded education in both statistics and computer science, rather than just sampling elements of one or the other. Students have the option to specialize in advanced computing or advanced mathematics/statistics, giving them the chance to complete deeper study in one facet of data science.
Data scientist is consistently ranked one of the best jobs in America by Glassdoor, and there are a wealth of opportunities available to new graduates in data science. After graduation, students may work as data scientists, data engineers, machine learning engineers or statisticians. Students will also be well-prepared for graduate study in data science, machine learning, computer science or statistics.
Data scientists are in high demand. The number of available data science jobs is predicted by the Bureau of Labor Statistics to grow by between 15% (computer and information research scientists) 33% (statisticians) in the next two decades.
- Advanced Computing. Students completing this track will select two advanced computing courses such as Algorithm Design and Analysis, Introduction to Artificial Intelligence, or Social Media Analytics.
- Advanced Mathematics and Statistics. Students completing this track will select two advanced mathematics or statistics courses such as Advanced Linear Algebra, Probability Theory (Mathematical Statistics I) and Theory of Inference (Mathematical Statistics II).
In this degree program, you’ll learn how to:
- Design effective algorithms and analyze them
- Formalize algorithms as programs
- Use computer technology to execute programs
- Understand the impact of technology on problem-solving and society
- Use exploratory data analysis and graphical techniques to propose statistical models
- Demonstrate an understanding of statistical estimation and inference
- Use simulation and resampling to explore and evaluate statistical and algorithmic models
- Apply statistical models, algorithmic models, supervised and unsupervised machine learning models, as well as model averaging and ensemble methods
- Evaluate the performance and fit of a model
- Use linear algebra, matrix computation, optimization and probability as foundations for modeling and computation
- Demonstrate effective logical and critical thinking skills
- Collect, prepare and curate data from a variety of sources
- Design and build software systems to analyze complex, real-world data
- Become proficient in multiple paradigms of programming and statistical analysis
- Communicate technical ideas in written, oral and visual forms
- Work effectively in teams to solve problems
- Recognize and evaluate the power and limits of data and its analysis techniques