Minor in Data Analytics
The minor in Data Analytics requires 18-23 semester credit hours.
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| QMST 2300 | Introduction to Analytics | 3 |
| Statistics Courses | ||
| Choose 3-4 hours from the following: | 3-4 | |
| Quantitative Methods in Agricultural Economics | ||
| Statistics For Criminal Justice | ||
| Research Methods in Geography | ||
| Statistics and Data Analysis for Human Development and Family Sciences | ||
| Healthcare Statistics | ||
| Engineering Statistics | ||
| Elementary Statistics | ||
| Introduction to Probability and Statistics | ||
| Analytical Techniques | ||
| Statistics in Public Health | ||
| Quantitative Research in Political Science | ||
| Introduction to Statistics and Introduction to Statistics Laboratory | ||
| Statistics for the Behavioral Sciences | ||
| Business Statistics | ||
| Computing/Programming Courses | ||
| Choose 3-4 hours from the following: | 3-4 | |
| Data Analysis and its Application in Agriculture | ||
| Programming for Scientists and Engineers | ||
| Foundations of Computer Science I | ||
| GeoProgramming | ||
| Research and Data Analytics for HIM | ||
| Introduction to Computational Modeling for Physics | ||
| Computational Methods for Analytics | ||
| Algorithms/Data Mining Courses | ||
| Choose 3-4 hours from the following: | 3-4 | |
| Introduction to Data Mining and Information Retrieval | ||
| Introduction to Machine Learning for Engineering Applications | ||
| Digital Image Processing and Machine Learning | ||
| Non-Linear Optimization Techniques | ||
| Advanced Linear and Integer Programming | ||
| Methods in Observational Astrophysics | ||
| Data Mining and Visualization | ||
| Prescribed Electives | ||
| Choose 6-8 hours from the following: | 6-8 | |
| Data Analytics for Accounting | ||
| Agricultural Price Analysis | ||
| Information and Data Visualization | ||
| Biometry | ||
| Experimental Biochemistry | ||
| Analytical Biochemistry | ||
| Biochemistry Techniques | ||
| Computer Data Base Systems | ||
| Programming for Data Processing | ||
| Advanced Database Management Systems | ||
| Computer Information Systems Internship | ||
| Introduction to Database Systems | ||
| Introduction to Artificial Intelligence | ||
| Introduction to Machine Learning | ||
| Parallel Programming | ||
| Econometrics | ||
| Empirical Data Analysis | ||
| Numerical and Scientific Data Analysis Using Python | ||
| Introduction to Computer-Aided Engineering Simulation on HPC Systems | ||
| Research Procedures in Family & Consumer Sciences | ||
| Introduction to Finance Analytics | ||
| Fashion Buying Principles I | ||
| Fashion Buying Principles II | ||
| Introduction to Geographic Information Techniques | ||
| Fundamentals of Geographic Information Systems | ||
| Management and Implementation of GIS | ||
| Maps and Mapmaking | ||
| Advanced GIS | ||
| Urban Infrastructure Management | ||
| GeoProgramming | ||
| GPS and GIS | ||
| Databases in Healthcare | ||
| Principles of Information Governance | ||
| Research and Data Analytics for HIM | ||
| Introduction to Data Analysis | ||
| Quality Engineering | ||
| Operations Research | ||
| Statistical Design of Experiments | ||
| Reliability Engineering | ||
| Probabilistic Operations Research | ||
| Introduction to Probability and Statistics | ||
| Applied Multivariate Statistics | ||
| Applied Linear Algebra | ||
| Numerical Analysis I | ||
| Advanced Probability and Statistics | ||
| Coding and Data Skills for Communicators | ||
| Data Journalism | ||
| Autonomous Systems and Robotics | ||
| Marketing Research | ||
| Digital Marketing and Analysis | ||
| Research Methods in Nutrition Science | ||
| Epidemiology | ||
| Ethics of Artificial Intelligence and Big Data | ||
| Statistical Physics | ||
| Intermediate Statistics | ||
| Statistical Modeling | ||
| Decision Analytics | ||
| Data Analytics | ||
| Applied Data Analysis | ||
| Quantitative Research Methods | ||
| Quality Assurance | ||
| Total Hours | 18-23 | |
