Undergraduate Program

Data Science for Precision Health

Precision Health is an emerging field that takes a big data approach in an attempt to precisely identify individual needs and conditions to enhance health and wellness through disease prediction and prevention. It shifts the healthcare paradigm from the traditional “reactive” approach, where a person is treated after a disease is diagnosed, to a newer “proactive” approach where disease prediction and prevention are emphasized.  IoT (Internet of Things) technology from search engines, health/fitness apps and websites, to wearable technology (i.e. Fitbit, Apple Watch) provide boundless data and endless opportunities for personalized medicine.

Career Paths

Although the use of big data in creative industries is relatively nascent, it is in high demand. There are plenty of career options for graduates with specialized training. Future occupations include, but not limited to the following:

●      Biostatistician

●      Bioinformatics scientist

●      Computational biologist

●      Bioinformatics programmer

●      Clinical analyst

●      Health informatics specialist

●      Healthcare IT project manager

●      Health informatics consultant

●      Privacy analyst

●      Healthcare data analyst

How to Apply

Learn more about admissions: take me to the admission application!

Curriculum 

The BS in Data Science is a 125-semester credit curriculum with three major components: major requirements (77 credits), core general education courses (42 credits), and free electives (6 credits).

Department of

Data Science 
         Precision Health

         Creative Industries

Biomedical Science

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Major Core Courses

Mathematics, Statistics (28 Credits) and Computer Science  (21 Credits)
Creative Industry Concentration (18 Credits) 

General Education Core

The College requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. Students of the Data Science program can meet the Quantitative Reasoning distribution requirement through their major courses. As a result, 42 general education credits from the Liberal Arts and Sciences program will be required.

Major Core Courses

Mathematics, Statistics (28 Credits) and Computer Science  (21 Credits)
Precision Health Concentration (18 Credits) 

General Education Core

The College requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. Students of the Data Science program can meet the Quantitative Reasoning distribution requirement through their major courses. As a result, 42 general education credits from the Liberal Arts and Sciences program will be required.

Free Electives

Students are free to choose 6 credits from any college level courses offered by the College.

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