Degree Level:
Undergraduate
school:
SASE - Division of Mathematics, Media, and Computing Sciences
Learning Mode:
On Campus
Degree:
Major

Bachelor of Science in Data Science and Artificial Intelligence (AI)

As AI and data technologies increasingly transform industries, it is essential to understand both computational expertise and technology’s social impact. By combining mathematics, programming, and applied practice with ethical and societal reflection, you’ll have the hands-on experience demanded by today’s workforce.

Why be a Data Science and AI Major?

Here's what makes the Mount's Data Science and Artificial Intelligence major unique:

  • An interdisciplinary approach: This program provides students with hands-on experience in coding, statistics, mathematics, data visualization, and machine learning while also focusing on ethical AI use.
  • High impact applications: Data and AI specialized roles are present in a variety of industries. As a student, you'll learn how to apply your skills to areas such as healthcare, business, education, and the social sciences.
  • Hands-on learning for tomorrow: We might not know what future tech looks like, but we can still help you prepare for it. We’ll focus on giving you hands-on learning in analyzing datasets and using machine learning models and AI tools, so you can be prepared to solve problems in an ever-evolving technological world.

What to expect as a Data Science and AI Major

53 credits

The Bachelor of Science in Data Science and Artificial Intelligence is an interdisciplinary STEM program that will equip you with the technical, analytical, and ethical skills needed to understand, develop, and apply data-driven solutions. 

You will complete coursework in programming, mathematics, statistics, machine learning, and applied AI, while also engaging in ethical and societal reflection on the impact of emerging technologies. Upon graduation, you will be prepared to analyze complex problems, interpret and visualize data, and design responsible AI applications across a wide range of professional fields.

Your rigorous technical coursework will be balanced with applied, project-based experiences. You’ll also be encouraged to pursue internships, independent projects, and research collaborations that connect theory to practice.

Be prepared for your future

According to the Bureau of Labor Statistics, data-related roles and AI and machine learning specialists are among the fastest growing occupations. Employers consistently seek graduates with strong technical skills in data analysis, statistical modeling, programming, and AI methods.

In the Hudson Valley region alone, job growth in healthcare analytics, educational technology, finance, and nonprofit data strategy highlights the demand for graduates with technical expertise and applied skills, making our graduates well positioned to meet both regional and national workforce needs.

As a Data Science and AI major, you’ll also be encouraged to take advantage of the Mount’s Center for Academic and Career Services, which has helped our students find internships with many local organizations. Some of these internships have even led to job offers!

Meet the Division of Math, Media, and Computing Sciences 

Get to know our incredible Math and Computing Sciences professorsinstructors, and staff

Christina Alvey

Associate Professor of Mathematics and Chair of the Division of Math, Media, and Computing Sciences
Faculty – Full Time
Contact
Email Address
Christina.Alvey@msmc.edu
Office
845-569-3393
Location
Aquinas 50C
Office Hours
By appointment

Jennifer Bready

Dean of the School of Arts, Sciences, and Education and Professor of Mathematics
Administrator, Faculty – Full Time
Contact
Email Address
Jen.Bready@msmc.edu
Office
845-569-3268
Location
Aquinas 50 G
Office Hours
By appointment

Mike Daven

Professor of Mathematics and Hudson Link Prison Initiative Academic Director
Faculty – Full Time
Contact
Email Address
Mike.Daven@msmc.edu
Office
845-569-3265
Location
Aquinas 50H
Office Hours
Monday and Wednesday
12:15 - 1:15 pm
Thursday
12:00 - 1:30 pm
Connect

Lee Fothergill

Professor of Mathematics and Knights Program Academic Coordinator
Faculty – Full Time
Contact
Email Address
Lee.Fothergill@msmc.edu
Office
845-569-3347
Location
Aquinas 50F
Office Hours
MW
10-11am
TR
11am-12pm

Micah Modell

Associate Professor of Information Technology
Faculty – Full Time
Contact
Email Address
Micah.Modell@msmc.edu
Office
845-569-3267
Location
Aquinas 50-i
Office Hours
By Appointment

Sagar Raina

Associate Professor of Information Technology
Faculty – Full Time
Contact
Email Address
Sagar.Raina@msmc.edu
Office
845-569-3271
Location
Aquinas 50J
Office Hours
MW
2:30-4:00 PM
Connect

Kathleen Venable

Associate Professor of Mathematics
Faculty – Full Time
Contact
Office
845-569-3266
Location
Aquinas 50E
Office Hours
M
12:30 - 2:30 PM
T
3:45 - 5:00 PM

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