Concentration in Data Science
Students may declare a Concentration in Data Science after completing CS 3343 Analysis of Algorithms with a grade of "C-" or better. All candidates for the Concentration in Data Science must fulfill the Core Curriculum requirements and the Computer Science degree requirements including, as part of the upper-division computer science electives in item B in the degree requirements, the following course:
- CS 3753 Introduction to Data Science
plus two additional courses selected from the following:
- CS 3793 Artificial Intelligence
- CS 4223 Bioinformatics and Big Data
- CS 4233 Introduction to Computational Biology and Bioinformatics
- CS 4243 Large-Scale Data Management
- CS 4373 Introduction to Data Mining
- CS 4973 Advanced Topics in Data Science
All courses in concentration are elective courses. See catalog for more details about prerequisites.
What can I do with a "Data Science" concentration?
Data Science is a multidisciplinary blend of data inference, algorithmic development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Data science is ultimately about using this data in creative ways to generate value.
Example of Data Science
Netflix data mines movie viewing patterns to understand what drives user interest, and uses that to make decisions on which Netflix original series to produce.