|
Nov 01, 2024
|
|
|
|
2021-2022 Graduate Catalog [ARCHIVED CATALOG]
Information Science with a concentration in Data Science, PhD
|
|
Return to: Degree programs listed by academic unit
The PhD with a major in information science and a concentration in data science requires a minimum of 60 semester credit hours.
|
Required core courses, 12 hours
Research courses, 24 hours minimum
Minimum of 24 graduate credit hours, e.g., individual research courses, directed studies, special topics courses, internships and doctoral dissertation.
Required research course, 3 hours
Quantitative research methods/statistics, 6 hours
Chosen from MSCI or MATH 6000-level courses, or statistics courses chosen in consultation with Information Science PhD Program Office Advisor.
Qualitative research methods, 3 hours
Chosen in consultation with Information Science PhD Program Office Advisor.
Dissertation, 12 hours minimum
Concentration core, 15 hours
Students take the following courses; students may take equivalent courses upon approval by the Information Science PhD Program Office.
Electives, 9 hours minimum
Minimum of 9 credit hours; the following is a partial list; other relevant courses may be used upon Information Science PhD Program Office approval:
- INFO 5707 - Data Modeling for Information Professionals (or equivalent, e.g., BCIS 5420 - Foundations of Database Management Systems )
- INFO 5717 - Networked Data Modeling and Processing
- INFO 5735 - Usability and User Experience Metrics
- INFO 5737 - Information and Cyber-Security (or equivalent, e.g., CSCE 5550 - Introduction to Computer Security )
- INFO 6880 - Seminar in Information Science and Technology (when topic is “Social Network Analysis for Information Professionals”)
- INFO 6880 - Seminar in Information Science and Technology (when topic is “Health Research Methodology”)
- LING 5410 - Computational Linguistics I
- LING 6060 - Data Analysis in Human Language Technology (HLT) I
- LING 6130 - Natural Language Processing (or equivalent, e.g., CSCE 5290 - Natural Language Processing )
- DSCI 5220 - Survey Analytics
- DSCI 5260 - Business Process Analytics
- DSCI 5310 - Risk and Life-Data Analysis
- DSCI 5340 - Predictive Analytics and Business Forecasting
- LTEC 6514 - Seminar on Advanced Research Topics in Learning Technologies and Information Sciences (or equivalent, e.g., LING 5560 - Discourse Analysis )
- LTEC 6514 - Seminar on Advanced Research Topics in Learning Technologies and Information Sciences (when topic is “Scaling Methods”) (or equivalent, e.g., LING 5560 - Discourse Analysis )
- DSCI 5250 - Statistical Techniques in Simulation
- CSCE 6260 - Advanced Topics in Pattern Recognition and Image Processing
- CSCE 6350 - Advanced Topics in Database Systems
- CSCE 5310 - Methods in Empirical Analysis
- CSCE 5350 - Fundamentals of Database Systems
- CSCE 5380 - Data Mining
- CSCE 5210 - Fundamentals of Artificial Intelligence
- CSCE 5216 - Pattern Recognition
- CSCE 5225 - Digital Image Processing
- EENG 5640 - Computer Vision and Image Analysis
|
Return to: Degree programs listed by academic unit
|
|