What is the Prerequisite Pathway for declaring Data Science?
The Prerequisite Pathway describes the process and criteria to declare the Data Science major for students admitted before the inception of Comprehensive Review. These students will be eligible to declare by completing the required prerequisite courses and meeting all criteria and deadlines listed below.
Who does this pathway apply to?
Your pathway to declaring Data Science is determined by your year of admission to UC Berkeley. Students who must follow the prerequisite pathway to declare Data Science:
- All students admitted to UC Berkeley prior to Fall 2023
- First-year students admitted to UC Berkeley in Fall 2023 with Data Science as your intended major on your admission application (currently listed as "HD Data Science" in CalCentral)
- Transfer students admitted to UC Berkeley in Fall 2023 or Spring 2024 who have not completed 2 semesters or more at UC Berkeley*
*Transfer students admitted to UC Berkeley in Fall 2023 or Spring 2024 are not eligible to apply to the Data Science major after having completed 2 semesters at UC Berkeley.
If you are not in one of the groups listed above, please see the Comprehensive Review process to apply to Data Science.
Prerequisites to Declare
- *Foundations of Data Science: Data C8 or Stat 20
- Calculus I: Math 51 or 1A or N1A or approved high school exam credit (Math 10A or 16A are also accepted)
- Calculus II: Math 52 or 1B or N1B or approved high school exam credit
- *Linear Algebra: Math 54/N54/W54 or Math 56 or EE/EECS 16A +16B (both required) or Physics 89 or Stat 89A (no longer offered)
- Program Structures: CompSci 61A or CompSci/Data C88C or Engin 7*
- *Data Structures: CompSci 61B or 61BL
*Foundations, Linear Algebra, and Data Structures must be completed with an average GPA of 2.0 to declare the major.
Transfer courses from other institutions will apply, if listed as equivalent on assist.org or approved as equivalent by UC Berkeley faculty, and if completed with a letter grade of C- or better.
Eligibility to Declare: Prerequisite Pathway
All prerequisites to declare must be completed for a letter grade and passed with a 'C-' or higher.
- Required GPA: Students must achieve a 2.0 Grade Point Average in Data 8, Linear Algebra, and Data Structures to be eligible to declare. The grades earned in Calculus I & II and Program Structures will not be factored into this GPA requirement.
- Upper-division Courses: If a student chooses to take more than one upper-division course toward the major prior to declaring, they must have a minimum 2.0 Grade Point Average in all upper-division courses completed toward the major at the time of declaration.
- Repeating Courses: For the purpose of declaring the Data Science major, we follow UC Berkeley policy on repeating courses; you may repeat a course only if you received a grade of D+, D, D-, F, or no pass (NP), and if you have taken the course only once before. You must repeat the course for a letter grade. Both grades will show on your transcript, but only your most recent grade will be calculated into your GPA for declaration of the major.
- We will not consider a grade in a second attempt in a course you have previously passed, and we will not consider a grade in a second repeat (third attempt) of the same course.
- Repeating a requirement outside of UC Berkeley counts toward the repeat limit, for the purpose of declaring the Data Science major.
- Repeating a course that restricts earning credit due to overlap of course content (e.g. taking Math 56 after Math 54, or taking Data C88C after CS 61A) counts toward the repeat limit, for the purpose of declaring the Data Science major.