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.