|
|
Apr 11, 2025
|
|
2025-2026 Undergraduate Catalog
Computer and Information Sciences, Individualized Concentration/Analytics, Individualized Concentration Five-Year Program Sequence
|
|
|
Recommended Sequence for the Full-Time Student
The sequence that appears below was developed based upon the availability of specific courses each semester and the successful completion of course prerequisites. Fourth Year
*Graduate courses (see Graduate Catalog for course descriptions) Fall Semester
- CISC 300/400-level Elective (2 semester hours)
- CISC 435 - Machine Learning Fundamentals (3 semester hours) (to meet CISC 400-level elective requirement)
- CISC 498 - Project II (3 semester hours)
- ANLY 500 - Analytics I: Principles and Applications (3 semester hours)*
- ANLY 506 - Exploratory Data Analysis (3 semester hours)*
Spring Semester
- CISC 300/400-level Elective (3 semester hours)
- CISC 400-level Elective (3 semester hours)
- EXPL 400 - Capstone (1 semester hour)
- GEND Elective (3 semester hours)
- ANLY 510 - Analytics II: Principles and Applications (3 semester hours)*
- ANLY 512 - Data Visualization (3 semester hours)*
Fall Semester
- ANLY 620 - Ethics for Data Analytics (3 semester hours)
- Graduate Concentration Elective (3 semester hours) (Recommended: ANLY 530 - Principles and Applications of Machine Learning)
- Graduate Concentration Elective (3 semester hours) (Recommended: ANLY 545 - Categorical Data Analysis)
- GRAD 695 - Research Methodology and Writing (3 semester hours)
Spring Semester
- Graduate Concentration Elective (3 semester hours) (Recommended: ANLY 520 - Natural Language Processing: Text Summarization and Classification)
- Graduate Concentration Elective (3 semester hours) (Recommended: ANLY 560 - Advanced Programming for Data Analytics)
- Graduate Concentration Elective (3 semester hours) (Recommended: ANLY 565 - Time Series and Forecasting)
- ANLY 699 - Applied Project in Analytics (3 semester hours)
or - GRAD 699 - Graduate Thesis (3 semester hours)
|
|
|
|