Operations Research undegraduate

[ucbalumnus]

<p>

@Erin's Dad

I agree with looking at graduate degrees rather than another UG.

</p>

<p>However, the OP may need to take some preparatory undergraduate math and statistics course work in order to prepare for graduate degree study in statistics, operations research, industrial engineering, etc…</p>

<p>For example:</p>

<p>[The</a> MA Program in Statistics | Department of Statistics](<a href=“http://statistics.berkeley.edu/programs/graduate/masters]The”>Master of Arts in Statistics Program Information | Department of Statistics)</p>

<p>

@Berkeley Statistics MA program

Recommended Preparatory Coursework</p>

<p>Our typical admitted student has significant coursework in multivariable calculus, linear algebra, probability theory, theoretical and applied statistics, as well as at least one statistical system (such as R) or a computer language (such as Python). Examples of UC Berkeley courses at this level are:</p>

<pre><code>Math 53, 54, 104, 110
Statistics preparation: A good reference are the requirements for our undergraduate major. Substantial coursework at this level will prepare applicants well for the MA. For example, STAT 134 is a prerequisite for STAT 201A, which is the first course students will take in the MA program.
</code></pre>

<p>

</p>

<p>Equivalents of Math 53 (multivariable calculus) and 54 (linear algebra and differential equations) should be readily available at community colleges, but equivalents of Math 104 (real analysis) and 110 (junior-level linear algebra with more emphasis on proofs) and Statistics 134 (junior-level calculus-based probability theory) and other junior/senior-level statistics courses would need to be taken at a four year school (some may allow enrollment in non-full courses as a non-degree student).</p>