Data is being generated at high speed, in large volumes, and by a variety of systems around the world. In such a data-driven and information-centric world, the ability to analyze information and make informed decisions is crucial to every field including business, medicine, the sciences, entertainment, and government. This concentration provides students with the skills, techniques, and knowledge needed to pursue a career in this field.

Program Outcomes for the Major in Computer Science, Concentration in Big Data Analytics

Graduates of the Big Data Analytics Concentration will be able to (in addition to the Computer Science Major Program Learning Outcomes):

  • Apply basic models, methods, programming languages, and tools for data storage, management and processing.
  • Apply current data visualization techniques, programming languages, and tools.
  • Apply basic statistical data analysis methods, programming languages, and tools.
  • Apply cloud and distributed computing techniques, tools, and services to solve real-word Big Data problems.
  • Evaluate, select, and apply data mining models, methods, and tools for real-word problems.
  • Evaluate, select, and apply tools and technologies to analyze and solve Big Data problems.

A laptop computer running Windows, macOS, or Linux is required for courses in the Computer Science program. 16GB of memory is suggested. A Chromebook will not work.

Requirements for the CS Concentration in Big Data Analytics

Students must complete all CS Major Core requirements, all CS Major Ancillary requirements and take the following CS courses:

CS-383Cloud, Parallel an Distributed Computing3
CS-453Data Mining3
CS-483Big Data Analytics Capstone3
Total Credits9

Students are required to meet with their academic advisor to review their courses for the upcoming semester. A minimum of 120 credits is required for graduation.  First-year and transfer students with 45 or fewer credits at the time of admission shall complete two academic programs (a major/major or major/minor) to qualify for graduation.  For more information, please view the MajorPlus section of this catalog.