Data Science Certificate
This is content from the Catalog 2019–2020 back issue. Please visit the current catalog for current information.
Coordinator:
Email: hedwards@hawaii.edu
The Certificate in Data Science allows students to develop skills relating to the acquiring, archiving, extracting knowledge from data in its various forms in order to find solutions to problems. This certificate program also focuses on communicating narratives regarding the underlying structure and patterns found within the data.
Data Science Certificate Course Requirements (18 Credits)
1. Requirements (12 Credits)
- CS 171 Data Science Fundamentals in R (3)
- CS 172 Python for Data Analysis (3)
- CS 272 Machine Learning for Data Sci (3)
- MATH 271 Applied Statistics with R (3)
2. Electives (6 Credits)
Choose two of the following courses (6 credits)
- ASTR/PHYS 260 Computational Physics & Astron (3)
- ASTR/PHYS 260L Computational Phys & Astr Lab (1)
- ASTR 350L Stellar Astrophysics Lab (2)
- ASTR 351L Galactic & Extragal Astr Lab (2)
- BIOL 280 Biostatistics (3)
- BIOL 481L Trop Island Ecology & Evol Lab (2)
- BIOL 482H Honors Appl Of Ecol & Evol (3)
- CHEM 274L Princ Analytical Chem Lab (2)
- CHEM 350L Phys Chem for Life Sci Lab (2)
- CHEM 351L Physical Chem I Lab (1)
- CHEM 352L Physical Chem II Lab (1)
- CHEM 431L Instrumental Analysis Lab (2)
- CS 370 Data Management (3)
- CS 373 Data Security & Privacy (3)
- CS 421 Database Systems Design (3)
- CS 422 Database Analytics (3)
- CS 435 Ethical Hacking (3)
- CS 440 Artificial Intelligence (3)
- CS 475 Data Visualization (3)
- CS 480 Digital Image Processing (3)
- CS 485 Social Network Analysis (3)
- ECON 390 Econometrics (3)
- ECON 430 Quantitative Forecasting (3)
- GEOG 480 Geog Info Sys & Visualization (3)
- GEOG 481 Advance Geo-Spatial Techniques (3)
- GEOG 470 Remote Sensing/Air Photo (3)
- GEOG 488 Advanced Geostatistics (3)
- GEOL 445 GIS for Geology (3)
- GEOL 450 Geological Remote Sensing (3)
- GEOL 472 Volcano Seismology & Geodesy (3)
- MARE 250 Statistical Apps in Marine Sci (3)
- MARE 375 Applied Informatics (3)
- MATH 371 Multivariate Modeling with R (3)
- MATH 421 Elem Probability Theory (3)
- MATH 422 Elementary Math Statistics (3)
- QBA 260 Business Statistics (3)
- QBA 362 Mgt Information Systems (3)
- SOC 280 Statistical Reasoning (3)
- SOC 280L Lab in Statistical Reasoning (1)
Notes:
- Students must pass each course within the certificate program with a grade of C or better.