Applied Mathematics Major / Data Science Concentration (Bachelor of Science)

First Year - Credits: 33

• CSC 160/160L - Introduction to Programming and Lab (Cr: 4)

• Satisfies the Science and Technology General Education Requirement

• CSC 161/161L - Data Structures and Algorithms (Cr: 4)
• ENG 111 - Critical Reading and Writing I (Cr: 3)

• Satisfies the Writing Designated Core requirement

• ENG 112 - Critical Reading and Writing II (Cr: 3)

• Satisfies the Writing Designated Core requirement

• INT 100 - Internship I (Cr: 2)
• MTH 134 - Calculus I (Cr: 4)

• Students who do not directly place into MTH 134 will be required to take MTH 129 that can count as a General Education elective

• MTH 137 - Calculus II (Cr: 4)
• MTH 146 - Data Science I (Cr: 3)
• MTH 210 - Mathematical Reasoning (Cr: 3)
• MTH 238 - Linear Algebra (Cr: 3)

Second Year - Credits: 32

• General Education Elective (Cr: 3)
• Science and Technology General Education Requirement (Cr: 3)
• Global Issues General Education Requirement (Cr: 3)

• CSC 340 - Databases (Cr: 3)
• MTH 138 - Introduction to Probability and Statistics in R (Cr: 3)
• MTH 237 - Calculus III (Cr: 3)
• MTH 246 - Data Science II (Cr: 3)
• MTH 260 - Applied Probability (Cr: 3)
• MTH 330 - Ordinary Differential Equations (Cr: 3)
• MTH 338 - Applied Linear Algebra for Data Science (Cr: 3)
• INT 200 - Internship II (Cr: 2)

Third Year - Credits: 32

• General Education Elective (3 credits must be above the 100 level) (Cr: 6) 
• Aesthetic Awareness General Education Requirement (Cr: 3)
• Values and Ethical Reasoning General Education Requirement (Cr: 3)
• World Cultures General Education Requirement (Cr: 3)

• CSC 440 - Data Mining and Visualization (Cr: 3)
• MTH 316 - Advanced Statistics (Cr: 3)
• MTH 346 - Advanced Topics in Data Science (Cr: 3)
• MTH 350 - Mathematical Modeling and Numerical Analysis (Cr: 3)
• MTH 379 - Semester Internship Strategies (Cr: 1)
• PHY 201/201L - Physics with Calculus I and Lab (Cr: 4)

Fourth Year - Credits: 30

• General Education Elective (must be above the 100 level) (Cr: 3) 
• Individual and Society General Education Requirement  (Cr: 3)
• Literary Perspectives General Education Requirement   (Cr: 3)
• Data Science Elective (Cr: 3)

• MTH 480 - Senior Internship (Cr: 12)
• MTH 489 - Senior Research (Cr: 3)
• MTH 490 - Senior Thesis (Cr: 3)

Data Science Electives

Students choose one course from the following list:

• BIO 340 - Bioinformatics (Cr: 3)
• CSC 260 - Object Oriented Programming (Cr: 3)
• CSC 460 - Introduction to Artificial Intelligence and Machine Learning (Cr: 3)
• ENV 212 - Introduction to Geographic Information Systems (Cr: 3)
• MTH 360/360L - Multivariate Probability and Lab (Cr: 4)

Learning Outcomes

At the completion of this program, student will be able to:

• Describe all components of a data science project from inception to completion
• Create and execute data science projects using real-world data
• Analyze the role mathematics plays in predictive tools
• Program effectively in more than one language/software
• Address the limitations and uncertainty inherent in data inference 
• Communicate technical concepts and interpretations to a general audience