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- [Saroja] Today we live in a world
of large amounts of
data is being collected
with everything we do, whether
it's with a mouse click
or whether it's internet transactions
or whether it's social
media that we interact with,
or our mobile devices.
So the question is with all this data,
how we can we make sense of it?
How can we gain knowledge from this?
The data science program at Kettering
is created to address the
needs of these technologies.
So the field of data
science involves collecting,
mining, and processing
these large amounts of data,
so we get intelligence out of this data
that we can act on.
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Our program is unique in many ways.
It's multidisciplinary.
It includes statistical
and computational skill.
It also includes a
communication in data course.
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Every course that we offer
is gonna be project-based.
Students are gonna learn
the rigor of the curriculum
and apply it in every single course.
Data science is navigating
every field right now,
in manufacturing, in
the automotive industry.
There's large amounts
of data being collected
from sensors and being
processed for advanced mobility.
We have a mobility research
center that's literally
a data science lab for us,
so students can work with faculty
that are working and connected
in mobile technologies,
and they can use MRC as their lab.
One of the things that's
built into the master's
in data science curriculum
is an option to get a credit
for an internship, where they could work
with industry partners that we have,
many of whom are actually innovators
in mobility technology and
autonomous driving technology.
The need for data scientists
is tremendous in those fields.
An ideal student that comes to Kettering
is somebody that's driven,
is really practical oriented.
They want to be able to
apply what they learned
and take pride in creating
projects for themselves
from start to finish.
So data science is happening
all around us, all the time,
and this sort of brings
together all this research
into a single-focused way of teaching
of one curriculum that will address
the data scientist's needs
and we're creating data
scientists of tomorrow.
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