Data Science/Applied Economics (4+1), BS/MS

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This program provides Data Science students an opportunity to learn how to apply their high-level quantitative analytical skills to economic systems, opening doors to important job opportunities in the private sector and public policy.

Admission

Students may join by submitting a change of academic program form, if they fulfill the following requirements:

Sophomore standing
Overall GPA of 3.0 or higher
GPA 3.0 or higher in the major
Completion of 16 units of undergraduate coursework as outlined here. All courses must be completed with a grade of B or higher

Required Undergraduate Courses (16 units)

In order to qualify for the 4+1 program, students majoring in Data Science must first complete 16 units of undergraduate coursework as outlined here. All courses must be completed with a grade of B or higher.

Program Learning Outcomes

Please see the Data Science Major and Applied Economics, MS programs.

Data Science Major Requirements (56 units)

Please see the Data Science Major for undergraduate requirements.

Applied Economics Degree Requirements (36 units)

Please see the Applied Economics, MS program for graduate requirements.

Integrating Graduate and Undergraduate Requirements

After joining the 4+1 program, students may begin taking courses toward graduate program requirements. While still in undergraduate status, students may complete up to 18 units of their MS program requirements. All remaining units must be taken in the final year after transitioning to graduate status.

In addition, up to 8 units (of the 18 total) can be double-counted toward both the Data Science Major electives requirements and the graduate degree.

In order for an undergraduate-level course (400 or below) to count toward the graduate degree, the student must receive a grade of A- or better. Courses eligible for double-counting are listed below.