Statistics & Data Science (BHA Concentration)
Amanda Mitchell, BHA StatDS Concentration Advisor (BH 129H)
BHA Statistics & Data Science Concentration
(81 units minimum)
In the BHA concentration in Statistics & Data Science, students develop and master a wide array of skills in computing, mathematics, statistical theory, and the interpretation and display of complex data. In addition, students with a BHA concentration in Statistics & Data Science gain experience in applying statistical tools to real problems in other fields and learn the nuances of interdisciplinary collaboration.
Prerequisites
These courses are not counted as part of your DC Concentration. They may be used to satisfy general education or free elective requirements.
| Units | ||
| 21-120 | Differential and Integral Calculus (prerequisite: 21-090) | 10 |
| 21-256 | Multivariate Analysis | 9 |
| or 21-259 | Calculus in Three Dimensions | |
| 21-240 | Matrix Algebra with Applications | 10 |
| or 21-241 | Matrices and Linear Transformations | |
| or 21-242 | Matrix Theory | |
| 15-110 | Principles of Computing | 10 |
| or 15-112 | Fundamentals of Programming and Computer Science | |
Note: 21-240, 21-241, 21-242 must be completed before taking 36-401 Modern Regression. 21-241 and 21-242 are intended only for students with a very strong mathematical background.
Statistics Core (6 courses, 54 units)
| 36-202 | Methods for Statistics & Data Science | 9 |
| or 36-290 | Introduction to Statistical Research Methodology | |
| or 36-309 | Experimental Design for Behavioral & Social Sciences | |
| 36-235 | Probability and Statistical Inference I -(recommended) | 9 |
| or 36-225 | Introduction to Probability Theory | |
| 36-236 | Probability and Statistical Inference II -(recommended) | 9 |
| or 36-226 | Introduction to Statistical Inference | |
| 36-350 | Statistical Computing | 9 |
| 36-401 | Modern Regression | 9 |
| 36-402 | Advanced Methods for Data Analysis | 9 |
Special Topics and Electives (3 courses, 27 units)
Students must take a total of three courses from Special Topics (numbered 36-46x–47x) and Statistics Electives listed below. Students will consult with the concentration advisor to select the Special Topics and Electives courses that best fit for their areas of interest.
| 36-303 | Sampling, Survey and Society | 9 |
| 36-311 | Statistical Analysis of Networks | 9 |
| 36-313 | Statistics of Inequality and Discrimination | 9 |
| 36-315 | Statistical Graphics and Visualization | 9 |
| 36-318 | Introduction to Causal Inference | 9 |
| 36-319 | Statistics and Machine Learning for the Physical Sciences | 9 |
| 36-4xx | 36-46x–47x Special Topics (topics and offerings vary) | 9 |
| 36-490 | Undergraduate Research | 9 |
| 36-493 | Sports Analytics Capstone | 9 |
| 36-497 | Corporate Capstone Project | 9 |