There are two different sections of Statistics for the Fall and Quantitative Methods of Program Evaluation in the Winter that graduate students can take. The standard sequence is designed for consumers of statistics and the augmented sequences is more toward producers.
Transcript:
Since 2019, the Ford
School has offered
two quantitative
pathways for students to
customize their experience
in data analysis.
Both cover statistics,
program evaluation,
and coding, but at
different paces and depth.
We call them standard
and augmented.
Choosing the right
pathway is important.
So how do you choose?
The standard pathway is
ideal if you're aiming
for proficiency
in data analysis for
public policy without
making it a career focus,
or you found the
math or stats from
your undergraduate
studies very challenging.
This path offers you
a pace that allows
time to grasp important
core concepts.
The augmented pathway
is a better fit
if you see data
analysis as key in
your career or if you felt very
comfortable in math or
stats in undergrad.
It moves faster and it dives
deeper into theory
and mathematics,
preparing you for high
level elective courses.
Both pathways are rigorous
and prepare you for a
career in public policy.
And don't worry, the standard
pathway can still lead to
a quantitative career by
taking electives like
data analysis and data
visualization later on.
Support resources,
including office hours,
GSIs, and peer tutoring
are available.
You have up to a week
to switch pathways,
so consult your instructors
and advisor for assistance.
I and the other professors
are going to be
excited to have you
in their courses regardless
of which version you choose.
We have such a great group of
incoming masters students,
and I just can't
wait to get you all
here on campus and
start learning stats.