Data Science

Why major in Data Science?

The Data Science degree programs equip students to draw sound conclusions from data in context, using knowledge of statistical inference, computational processes, data management strategies, domain knowledge, and theory. Students learn to carry out analyses of data through the full cycle of the investigative process in scientific and practical contexts. They also gain a deep appreciation of the human, social, and institutional structures and practices that shape technical work around computing and data, as well as an understanding of how data, data analytics, machine learning, artificial intelligence, and computing permeate and shape our individual and social lives. (Source: Data Department)

Declaring DS

To declare Data Science, students must complete Data 8 (Foundations of Data Science), Math 1A (Calculus I), Math 1B (Calculus II), Linear Algebra (Math 54), CS 61A (Structure and Interpretation of Computer Programs), and CS 61B (Data Structures and Algorithms). Students must achieve a 2.0 GPA in Data 8, Math 54, and CS 61B.

Academic Path / Course Load

Lower Div Requirements

For declaration:
- Either:
  - Math 1A (preferred)
  - Math 10A
  - Math 16A
- Math 1B
- Data C8
- Either:
  - Math 54 (preferred)
  - Stat 89 A (preferred)
  - EE 16A and EE 16B
  - Physics 89A
- CS 61A
- CS61B
Domain Emphasis Course

Upper Div Requirements

CS/Stat/Data 100
2 Computational and Inferential Depth Courses
1 Probability Course
1 Modeling Course
1 Ethics Course
2 Domain Emphasis Courses

Domain Emphasis

Domain Emphases give students a grounded understanding of a particular domain of data-intensive research, relevant theory, or an integrative intellectual thread. A Domain Emphasis is not limited to courses that are intended to be specifically for data science. Rather, they should bring the data science student into the context of a domain.

In addition to Data Science major-required classes, students will need to complete their L&S breadths and university course requirements.

More Resources and Information

Department website

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