Data Analytics

Decisions in business, finance, and economic policy are increasingly driven by sophisticated data analysis. This analysis often calls for the crunching of “big” datasets from financial trading floors, credit card records, or web traffic. This specialization develops a combination of skills in quantitative methods and data management while also cultivating the abilities to apply these skills in the business, finance, and economics fields.

This specialization is not intended as a “stand-alone” tool-set. Ideally, it is integrated into the student’s training in a substantive domain, reflected in a concurrent focus on the foundational fields of business and economics.

Students must complete 20 credits at Brandeis IBS through the requirements listed below to earn the Data Analytics specialization.

An option for MA and MBA students.

Career Paths

This specialization would be particularly useful for students who are intrigued by the prospects of managing the intricacies of complex financial transactions. Employers who have recruited graduates that are adept in data analytics include EMC Corporation, IBM and Kronos.

Requirements

20 credits required (MSF students see special elective requirements in Group 3.)

Group 1: Foundational (6 credits required)

Group 2: Application Courses (8 credits required)

Group 3: Electives (at least 6 credits)

Any course from the selection below or from Groups 1-3 not taken to fulfill other specialization requirements. MSF students must have at least 4 credits from one of the Finance courses listed (see*).