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Data Science Major - Curriculum & Duration

The Data Science program provides you with the case-based, hands-on learning the era of Big Data demands. With interdisciplinary expertise, you graduate prepared to distill the most essential information from data and communicate it to a non-technical audience.

Because a background in data science can apply in a variety of industries, USciences developed the program to be flexible for you, depending on where you want your degree to take you.

The curriculum covers statistical thinking skills as well as communication, ethics, mathematical foundations, and data creation. Following a first year of mostly general science and math courses, your second year will cover basic foundational courses in probability, programming and data science.

You’ll progress to advanced courses such as Database Design and Time Series in year three and four. In the fourth year, you will also receive credit from a Data Science Capstone and may choose to complete a Data Science Internship.

Specialize your degree through three application domains: Bioinformatics/Genomics, Analytics & SAS Programming, or an Individualized track. The Individualized application domain allows you to customize your education according to your career interests.

The following is a typical curriculum for students entering in Fall 2019; other students should refer to their advisor for their curricula.

First Year

General Biology I, II
General Biology Lab I, II
General Chemistry I, II
General Chemistry Lab I, II
Precalculus, Calculus I
Physical Education I, II
Writing and Rhetoric I, II
Data Science Orientation I

Second Year

Introduction to Data Science I, II
Computer Programming I
Intro to Sociology or Principles of Sociology or Intro to Psychology
Calculus II
Linear Algebra
Intro to Biostatistics
Intro to Probability
Program Elective or Required Application Domain

Third Year

Data Visualization
Regression Analysis
Intro to Communication or Public Speaking
Database Design
Humanities or Social Sciences GenEd Requirement
Program Elective or Required Application Domain
Multidisciplinary Inquiry
Scientific Writing or Professional Writing

Fourth Year

Program Elective or Required Application Domain
Time Series and Forecasting
Free Electives
Data Structure/Algorithms
Humanities or Social Sciences GenEd Requirement
Multidisciplinary Inquiry
Data Science Capstone
Data Science Capstone or Data Science Internship

Program Electives include:

Design and Analysis of Experiments
Categorical Data Analysis
Applied Multivariate Analysis*
Statistics for Clinical Trials
Survival Analysis*
SAS Programming and Data Analysis*
Advanced SAS Programming
Microarray Technology^
Computer Aided Drug Design^
Applications of Computational Chemistry
Discrete Mathematics
Calculus III
Graph Theory
Numerical Analysis
Mathematical Modeling*
Optimization Methods
Mathematical Foundations of Neuroscience^
Web-Based Computing
Network Computing
Stochastic Modeling*^
Applied Machine Learning^

^ Recommended for the Bioinformatics/Genomics Application Domain
* Recommended for the Analytics & SAS Programming Application Domain

Application Domains

Bioinformatics/Genomics Domain Related Courses

Primer for Computational Biology I, II
Bioinformatics I (Genomics), II (Algorithms)
Bioinformatics Computing

Analytics & SAS Programming Domain Related Courses

SAS Programming and Data Analysis
Advanced SAS Programming
Design and Analysis of Experiments
Statistics for Clinical Trials
Applied Machine Learning