Data Science Minor

Mathematics (6 Credit Hours)

• MATH 1337 - Calculus I and MATH 1338 - Calculus II  

• or

• MATH 1340 - Consolidated Calculus

Data Science (9 Credit Hours)

• DS 1300 /OREM 1300 - A Practical Introduction to Data Science   
• STAT 2331 - Introduction to Statistical Methods *

• *CS 4340 /OREM 3340 /STAT 4340  or ECE 3360  may count toward the STAT 2331 requirement.

Linear Algebra

• MATH 3304 - Introduction to Linear Algebra

Advanced Statistics for Data Science

• ECO 4354 - Economic and Business Forecasting
• ECO 4356 - Causal Inference in Economics
• OREM 5377 - Statistical Design and Analysis of Experiments
• STAT 3312 - Categorical Data Analysis
• STAT 3341 - Statistical Learning via Sports Analytics
• STAT 3366 - Applied Regression Analysis and Data Visualization
• Any STAT 4000-level and above course

Machine Learning

• CS 5320 - Artificial Intelligence
• CS 5324 - Machine Learning in Python
• ECE 5365 /7365 – Adaptive Algorithms for Machine Learning
• ITOM 4334 - Predictive Analytics and Machine Learning
• MATH 4377 - Mathematics of Machine Learning
• OREM 5331 /CS 5331 - Data Mining  

Advanced Data Science Methodology

• ASIM 1300 - Digital/Hybrid Media I
• CS 5320 - Artificial Intelligence
• CS 5322 - Introduction to Natural Language Processing
• CS 5324 - Machine Learning in Python
• CS 5330 - Databases
• CS 5337 - Information Retrieval and Web Search
• CS 5346 - Cloud Computing
• ECE 5365 /7365 – Adaptive Algorithms for Machine Learning
• HIST 3368 - Digital History with Data Science
• ITOM 4334 - Predictive Analytics and Machine Learning
• ITOM 4350 - Business Intelligence and Big Data
• MATH 4334 - Mathematical Modeling and Applications
• MATH 4377 - Mathematics of Machine Learning
• OREM 3309 - Information Engineering
• OREM 3363 - Discrete Event Simulation
• OREM 5331 /CS 5331 – Data Mining 
• OREM 5352 - Information System Architecture
• OREM 5353 - Information System Design Strategies
• OREM 5357 - Analytics for Decision Support
• OREM 5377 - Statistical Design and Analysis of Experiments
• STAT 4340 /CS 4340 /OREM 3340 - Statistical Methods for Engineering and Applied Scientists   
• STAT 4363 - Applied Time Series Analysis

• Note:

  • Some of these courses may require prerequisites that are not listed above.

Elective Course

Students may not double-count any advanced course(s) taken from the above course lists. Independent study courses may not be used to fulfill this requirement.

Capstone Course

• ACCT 4317 - Accounting Theory
• BIOL 4305 - Genomics and Bioinformatics
• CHEM 4317 - Introduction to Molecular Modeling and Computer-Assisted Drug Design
• CRCP 5301 - Creative Computing Capstone
• CS 5351 - Senior Design
• ECE 4311 - Senior Design I
• FINA 4332 - Practicum in Asset and Wealth Management
• ITOM 4321 - Business Analytics and Supply Chain Management Practicum
• ME 4340 - Elements of Mechanical Engineering Measurements
• OREM 4395 - Senior Design
• PSYC 4393 - Departmental Distinction in Psychology (a syllabus for this course must be approved by the SDS department)
• STAT 4367 - Data Science Capstone
• STAT 4385 - Introduction to Nonparametric Statistics
• Students not enrolling in one of the capstone courses listed above should obtain pre-approval for an integrative project-based course or undergraduate research experience to satisfy the capstone requirement. Consult with the data science undergraduate adviser for additional guidance.