Data Analytics Minor

Requirements for the Minor

The department of Computer Science offers a minor in Data Analytics, the process of analyzing, revealing, interpreting and visualizing information concealed inside data. The analysis of datasets is already revolutionizing our understanding of fields from genetics to Environmental Science, Economics to Engineering, English, History and Political Science. The minor will introduce students to the concepts and techniques underlying the acquisition, transformation, analysis and visualization of data and analytical outcomes, and will leverage courses across the college that address analytics in a discipline-specific way. Requires the following six courses, four core courses and two electives. A maximum of three courses from the same department as your major may be used for the minor with advisor approval.

Four Core Courses:

• An introductory CS course, one of the following:

• CSC 103 - Taming Big Data: Introduction to Computer Science
• CSC 104 - Robots Rule! Introduction to Computer Science
• CSC 105 - Game Development: Introduction to Computer Science
• CSC 106 - Can Computers Think? Introduction to Computer Science
• CSC 107 - Creative Computing: Introduction to Computer Science
• CSC 108 - Scientific Computing: Introduction to Computer Science

•  

• A statistics course, one of the following:

• ECO 243 - Introduction to Econometrics
• MER 301 - Engineering Reliability
• PSC 220 - Social Data Analysis
• PSY 200 - Statistical Methods in Psychology
• SOC 300 - Quantitative Methods of Social Research
• STA 104 - Introduction to Statistics
• STA 164 - Strategies of Experimentation: Statistical Design and Analysis of Experiments

•  

• A data analytics course, one of the following:

• CSC 233 - Intro to Data Analytics
• ECO 364 - Business Analytics
• ENS 215 - Exploring Environmental Data

•  

• A data visualization course, one of the following:

• CSC 234 - Data Visualization
• ECO 134 - Data Visualization

• Two additional courses:
   

  Minors choose two additional courses. Only one course numbered below 100 may count towards the minor. Suggested courses are below. Additional courses may be approved by the minor director.  Students may also take an independent study with a faculty member, in consultation with the minor director.

• AST 230 - Observational Astronomy
• AST 240 - Radio Astronomy
• BIO 324 - Plant Ecology
• CHM 240 - Analytical Chemistry
• CHN 301 - Advanced Intermediate Chinese 2
• CHN 401 - Media China
• CSC 206 - Text Analytics
• CSC 243 - Bioinformatics: Information Technology in the Life Sciences
• CSC 235 - Modeling & Simulation
• CSC 321 - Data Mining and Machine Learning
• CSC 340 - Introduction to Databases
• ECE 329 - Neural Networks
• ECE 347 - Image Processing
• ECO 338 - Quantitative Methods in Economics
• ECO 353 - Seminar in Econometrics
• ENS 204 - Geographic Information Systems
• GEO 207 - Stable Isotopes in Environmental Science
• GEO 209 - Paleoclimatology
• GEO 302 - Geochemical Systems and Modeling
• GEO 303 - Earthquakes and the study of the Earth’s Interior
• GEO 305 - Global Biogeochemical Cycles
• MTH 140 - Applied Linear Algebra
• MTH 340 - Linear Algebra
• MLT 209 - The New Wall of China
• PHY 122 - Relativity, Quantum, and Their Applications
• PHY 123 - Heat and Light
• PHY 300 - Methods of Modern Experimental Physics
• PHY 310 - Advanced Topics in Physics 1
• PSC 123 - Topics in Mathematical Political Science
• STA 264 - Regression Analysis
• STA 364 - Big Data Analytics

Exceptions

• It is not possible to take both a Statistics minor and a Data Analytics minor