MGMTPHD 201AProbability, Statistics, and Computational Methods for Econometrics
Management-PhD · 4 units · Graduate courses (200-299)
Designed for PhD students. Introduction to probabilistic, statistical, and computational tools needed for applied researchers in business fields. Probability theory, modes of convergence, hypothesis testing, Bayesian inference, R programming, linear algebra, numerical optimization, simulation methods, numerical integration.
S/U or letter grading.
When it runs
- Fall 2025
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
MGMTPHD 201A
- MGMTPHD 201BTheory and Application of Regression Analysis
- MGMTPHD 201CTime-Series Analysis
1 course lists this as a requisite. The whole downstream is here — 2 courses over 2 levels. Every course here opens its own tree.