Dec 05, 2025  
2025-2026 Undergraduate and Graduate Catalog 
    
2025-2026 Undergraduate and Graduate Catalog

Applied Data Science, B.S.


The applied data science degree is designed to prepare graduates for a variety of careers within the data science field. The program builds upon a strong foundation of programming and data analysis to prepare data scientists who will be able to apply their skills to real-world applications. Graduates are prepared to join the data analysis workforce or pursue more advanced degrees. The degree involves courses in foundations of data science as well as application domains, such as public health, linguistics, Internet of Things, cybersecurity, etc. Students will choose their focus areas within applied data science by selecting a concentration. 

Admission Requirements


Major Declaration

Freshmen admission to engineering majors is to a ‘pre-major’ status (i.e., Pre-Applied Data Science). Continuation in the major will be subject to meeting specific lower division course and GPA requirements at CSULB that indicate the student’s ability to succeed and complete the major. Transfer applicants and CSULB students seeking admission into Applied Data Science must also meet similar major specific requirements. To become fully admitted into the Applied Data Science major, all prospective students (i.e., pre-majors, undeclared, major changes) must have a minimum cumulative 2.5 GPA and complete the following lower-division courses with a minimum grade of “C” prior to earning 60 units:

Core Lower-Division Major Requirements: 

General Education Foundations Courses: 

  • English Composition and Oral Communication (Consistent with AB-928 no GE wavier is required).

Freshmen admission to engineering majors is to a ‘pre-major’ status (i.e., Pre-Applied Data Science). Continuation in the major will be subject to meeting specific lower division course and GPA requirements at CSULB that indicate the student’s ability to succeed and complete the major. Transfer applicants and CSULB students seeking admission into Applied Data Science must also meet similar major specific requirements. To become fully admitted into the Applied Data Science major, all prospective students (i.e., pre-majors, undeclared, major changes) must have a minimum cumulative 2.5 GPA and complete the following lower-division courses with a minimum grade of “C” prior to earning 60 units.

 

Degree Progress


First-Time Engineering freshmen pre-major and transfer students must complete the Engineering Degree Progress Requirements within their first academic year. At the end of the second full semester, typically Spring, students who have not met the requirements must either declare another major or meet with an Academic Advisor from the Engineering Student Success Center (ESSC) to determine if the student’s performance in the courses merits an additional Semester to complete. Such students must submit a Degree Progress Extension Petition with the College of Engineering Dean’s Office. 

First-Time Freshmen: A grade of “C” or better must be achieved in CECS 180 and CECS 174 within one calendar year.

Transfer Students: A grade of “C” or better must be achieved in CECS 181, CECS 228 and CECS 274 within one calendar year. There are no other special on-campus requirements.  

All Engineering Majors:


All Engineering majors are expected to make satisfactory degree progress by completing attempted units, limiting repeats/withdrawals, satisfying critical benchmark courses in a timely manner, and maintaining minimum 2.0 Overall and Major GPAs. Degree Progress is monitored for all undergraduate students each semester. Petitions to attempt a course for the third time are only considered in extenuating circumstances. Students who are not making satisfactory degree progress as described above will have a hold on their registration and are required to meet with their advisor to develop an academic plan. Failure to satisfy the academic progress requirements will result in the student being disqualified from the major. 

Course Requirements:


A grade of “C” or better must be achieved in all courses required for the major. A minimum of 120 units is required for the Bachelor’s Degree. 

Take eighteen units from one of the following focus areas (Health Analytics or Computational Linguistics) and take nine units of elective courses from any of the focus areas:


Elective courses (6 units):

Take two courses from below:

Computational Linguistics:


Take the following required courses (18 units) from the department of Linguistics:

Elective courses:

Take 6 units (two courses) from the below list: