Data Science, Computational Analytics Concentration, Major

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The core of the Data Science major is focused around training in mathematics and computer science with 52 units distributed among these two departments, along with one economics course. This core represents the backbone of the training that will uniquely prepare a student with an impressive array of mathematical, statistical and computational skills. In addition, each student chooses one of three concentrations, depending on his or her area of interest. These concentrations include mathematical data science, computational data science, and an economic data science focus for a total of 68 units.

Program Learning Outcomes

Students will

think logically and analyze information critically in a mathematical setting.
reformulate and solve problems in an abstract framework.
express mathematical results verbally, working individually and in collaborative groups.
apply mathematical techniques to specific problem domains.
demonstrate competence with programming concepts, including software development techniques and data structures.
apply mathematical and computational techniques to real-world problems involving large, complex data sets.
visualize, present and communicate analytical results

Data Science, Computational Analytics Concentration, Major

Program Learning Outcomes

Major Requirements (68 Units)

Base Curriculum (56 Units)

Note:

Computational Analytics (68 Units)