Two of the best reasons to study statistics are the immense variety of important and exciting real-world questions we can answer through careful data analysis, as well as the broad range of technical fields with close connections to statistics. No major is complete without encountering the fields that interface closely with statistics.

The applied cluster is a chance to learn about areas in which Statistics can be applied, and to learn specialized techniques not taught in the Statistics Department. Students need to design your own Cluster. The courses should have a unifying theme. Picking your own Cluster is a valuable exercise that gives you a chance to explore and refine your interests and to develop a coherent course of study. A pre-approved list has been provided. However, it is not exhaustive. Clusters may consist of courses from more than one department, but at least two must be approved courses from the same department. If students would like to use a course that is not on the list or select three courses from three different departments, the Head Undergraduate Faculty Adviser must approve the proposed cluster.

Economics and Business courses are treated as though they are in the same department for purposes of evaluating clusters. The same is true for courses in EE, CS, and EECS. Likewise, courses concerning social and ethical aspects of statistics including CY PLAN 101, INFO 188, PHILOS 121, and DATA C104 / HIST C184D / STS C104 are treated as though they are in the same department even if offered in different departments.

Cluster Course Criteria

Courses must be:

• Upper division courses
• At least 3 units
• Taken for letter grade

Courses with statistics prerequisites are often acceptable. Courses that are similar to Statistics courses are not acceptable. If an approved cluster course has a credit restriction with another approved course, both cannot be used for the applied cluster (refer to the Berkeley Academic Guide for credit restrictions, click on “read more” under the course description). Research courses are often acceptable if the research project has a substantial quantitative component.

Content Criteria:

Generally, to be an acceptable cluster course, a course should meet at least one of the following three criteria:

1. The course centers on questions about ethical data analysis or experimental methodology.
2. The course is focused on a substantive area of natural sciences or social sciences, and includes a significant quantitative or data analysis component as part of the course requirements.
3. The course is in a related technical field like mathematics, computer science, engineering, or operations research.

Requesting Approval of Courses Not on This List or a Cluster in Three Different Departments

To request approval of a course not currently on this list or a cluster in three different departments, submit the Updates to Statistics Major Form and the Head Undergraduate Faculty Advisor will review your request. All proposed courses must still meet the general cluster course criteria above and must fit thematically in with the rest of your cluster.

Sample Clusters

Below is a list of sample clusters for students to consider if they would like an idea of courses to combine for their cluster based on a topic of interest.

• Economics and Finance: Econ 101A, Econ 101B and UGBA 103
• Math: Math 110, Math 104, and Math 128B
• Public Health/Biostatistics graduate school: Math 110, Pb Hlth 150A, and Pb Hlth 150B
• Public Policy: Pub Policy C103, Pub Pol C142/Econ C142/Pol Sci C131A, and Pb Hlth 126
• Social and Ethical Aspects of Statistics: CYPLAN 101, INFO 188, and DATA C104 / HISTORY C184D / STS C104D

Approved Cluster Courses

(For Stat majors declared Spring 2017 and after; Stat majors declared prior to Spring 2017 can select courses from this list or the list below.)

This is not an exhaustive list. Be aware that these courses may have prerequisites. Refer to the Berkeley Academic Guide to check.

• Anthropology: C100, C103, 115, 121C, C124C, 127A, 127B, C129D, 132A, 135, 169B
• Architecture: 140, 150, 154
• Astronomy: 128, 160, C161, C162
• Bioengineering: 104, C112, C117, C119, C125, C125B, 131, C136L, C137, 144, C145L, C145M, C146, 147, C165, C181
• Chemical and Biomolecular Engineering: 140, 141, C195A
• Chemistry: C110L, 120A, 120B, C130, C138
• City and Regional Planning: 101, 118AC, 119
• Civil and Environmental Engineering: 100, 103, C106, C116, C133, 155
• Cognitive Science: C100, C101, C102, C126, C127, 131, C140, C147
• Computational Biology C146
• Computer Science: C149, 152, 160, 161, 162, 164, 168, 169, 170, 172, 176, C182/Data C182, 184, 186, W186, 188, 189*. Not C100
• Data Science (Undergraduate): Data 101, Data C104 / History C184D / STS C104D, Data 144, Data C182/Compsci C182
• Demography: 110, C126, C175, 180, 260
• Digital Humanities 150C
• Earth and Planetary Science: 101, 109, C129, 130, C146, C162, C180, C181
• Economics: 101A, 101B, C102, C103, 104, C110, 119, 121, C125, 131, 136*, 138, 139, 141, C142, 157, C171, 174, C175, C181, 182
• Electrical Engineering: 100, 105, C106A, C106B, 113, 117, 118, 120, 121, 122, 123, 127, C128, 129, 130, 134, 137A, 137B, 140, 142, 143, 144, C145B, C145L, C145M, C145O, 147, C149
• Energy and Resources Group: C100, 102, 131, 175, C176
• Engineering: 115, 117, 120*
• Environmental Economics and Policy: C101, C102, C115, 131, 140AC, 141, 142, 143, 145, 147, C151, 152, 153, 154, 161, 162, C175, C176, C181, C183
• Environmental Science, Policy and Management: 100, 102A, 102C, 102D, C103, C104, C107, 108A, 108B, 111, 112, 114, 115C, 116B, 116C, 117, 118, 120, 121, C126, C128, C129, 131, 132, C138, 140, 142, 144, C148, C149, 152, C159, 164, 165, 166, 172, 173, C177, C180, 181A, 182, 183, C183, 185, 186, 187
• Geography: C136, C139, 140A, 142, 143, C145, 148, 187, C188
• Industrial Engineering: 115, 130, 135, 131, 142*, 150, 151, 153, 160, 162, 166, 170, 171 (through Fall 2018), 221, 222. Not 165, 172, 173
• Information: 154, 159, 188, 213, 232, 247, 253, 256, 257, 271B, 272
• Integrative Biology: 102LF, 103LF, 104LF, 106A, C107L, C109, C110L, 113L, 115, 117+117LF, 118, 119, 123AL, C125L, 128, C129L, 131, 132, 134L,135, C135L, 137, 138, 139, 140, C142L, C143A, C143B, C144, 146LF, 148, C149, 151, 152, 153, 154, C155, C156, 157LF, 158LF, 160, 161, 162, 164, 166, 168L, 169, 173LF, 174LF, 175LF, 181L, 183L, 184L, C185L, C187
• International & Area Studies: C175, C176
• Landscape Architecture & Environmental Planning: 122, C177, C188
• Letters & Science: C180U
• Legal Studies: 123
• Linguistics: 100, C105, 110, 113, 140, C146, C147, C160
• Mathematics: C103, 104, H104, 105, 110*, H110*, 113, H113, 114, 115, 116, 118, 121A, 121B, 123, 124, 125A, 126, 127, 128A, 128B, 130, 135, 136, 140, 141, 142, 143, 170*, 172, 185, H185, 189, 221
• Mechanical Engineering: 101, 102A, 102B, 104, 106, 107, 108, 109, 110, C115, C117, 118, 119, 120, 122, 130, 131, 132, 133, C134, 135, 138, 140, 146, 150A, 151, 163, 164, 165, 167, 168, 170, 173, 175, C176, C178, C180, 185
• Molecular and Cell Biology: 100B, C100A, 102, C103, 104, 110, C110L, C112, C114, C116, 130, 132, 133L, C134, 135A, 136, 137L, 140, 140L, 141, 143, C146, C148, 149, 150, 150L, 160, 160L, 161, 163L, 165, 166
• Music: 108, 108M, 109, 109M
• Neuroscience: C129
• Nuclear Engineering: 100, 130, 175
• Nutritional Science and Toxicology: 103, 110, C114, 121, C159
• Philosophy: 121, 128, 140A, 140B, 142, 143, 146
• Physical Education: C129, C165
• Physics: 105, 110A, 110B, 111A, 111B (3 units), 112, 129, 130, 137A, 137B, 138, 139, 141A, 141B, 142, 151, C161, 177
• Plant and Microbial Biology: 101L, C103, C107L, C109, C110L, C112, 113, C114, C116, 120+120L, C124, C134, 135, C146, C148, 150, 160, 165, 185, 190 (min 3 units)
• Political Science: C131A, 133, C135
• Psychology: 110, C113, 114, C116, 117, C120, 121, 122, 125, C126, C127, C129, 130, 131, 133, 140, 141, C143, 150, 164
• Public Health: C102, 112, 126, C129, 150A, 150B, 162A, C170B, 250A, 252B (min 3 units). Not 141, 142, 142AB, W142, 145
• Public Policy: 101, C103, C142, C184
• Rhetoric: 107, 170
• Sociology 105, 106, 108
• UGBA: 101A, 101B, 102A*, 102B*, 103*, 106, 118, 119, 120AA, 120AB, 120B, 122, 126, 131, 131A, 132, 133, 134, 136F, 141, 160, 161, 162, 165, 169, 180, 183, 184

Notes

1. Only one course may be selected from ECON 136, ENGIN 120 and UGBA 103.
2. If Math 110 or H110 has been used to satisfy math prerequisite requirement, course cannot be used for applied cluster.
3. Math 170 cannot be combined with either IEOR 160 or IEOR 162.
4. Students may use UGBA 102A and/or UGBA 102B for their cluster, but may NOT use UC Berkeley Extension's XB102A nor XB102B since, effective Spring 2014, the Haas School of Business no longer deems them equivalent.
5. Due to overlap of course content, only one course from Stat 154, CS 189 and IEOR 142 can be used to satisfy Statistics major requirements.
6. Due to overlap of course content, students may not use STAT 155 and ECON C110 / POL SCI C135 for the major.