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Name: Must maintain an overall 3.0 GPA. Degree must be completed within 5 years. Complete 32 Credit Hours.
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Name:
Must maintain an overall 3.0 GPA
Degree must be completed within 5 years
Complete 32 Credit Hours
Breadth Requirement (16 hrs) - Total Credit Hours Completed Advanced Coursework (12 hrs) - Total Credit Hours Completed Additional Coursework (4 hrs) - Total Credit Hours Completed
Total Credit Hours Completed
BREADTH REQUIREMENTS: 12-16 credit hours
CS 445 Computational Photography 4 CS 498 Applied Machine Learning 4
CS 410 Text Information Systems 4
CS 411 Database Systems 4
CS 412 Intro to Data Mining (Pattern Discovery + Cluster Analysis) 4
CS 498 Data Visualization (Data Visualization) 4
CS 519 Scientific Visualization [Recommended prereq: CS 418 or CS 498 Data Visualization]* 4
CS 425 Distributed Systems (Cloud Computing Concepts: Parts 1 & 2) 4 CS 498 Cloud Computing Applications (Cloud Computing Applications: Parts 1 & 2) 4
CS 498 Cloud Networking 4
CS 498 Internet of Things 4
Total Credit Hours from Breadth Coursework - 12-16 credit hours
500-LEVEL Courses (500-590 or 598) CREDIT GRADE COMMENTS
CS 519 Scientific Visualization [Recommended prereq: CS 418 or CS 498 Data Visualization]*
CS 598 Advanced Bayesian Modeling 4
CS 598 Practical Statistical Learning [Required prereq: CS 410, CS 412, an Artificial Intelligence breadth course, or STAT 420]
CS 513 Theory & Practice of Data Cleaning (Theory & Practice of Data Cleaning) 4
CS 598 Foundations of Data Curation (Foundations of Data Curation) 4
CS 598 Data Mining Capstone [Required prereq: CS 410 and CS 412] 4
CS 598 Cloud Computing Capstone [Required prereq: CS 498 Cloud Computing Applications and one other Cloud Computing breadth course]
Total Credit Hours from Advanced Coursework - 12 credit hours
CS 418 Interactive Computer Graphics 4 CS 421 Programming Languages and Compilers 4
CS 427 Software Engineering I 4
CS 450 Numerical Analysis 4
CS 484 Parallel Computing 4
STAT 420 Methods of Applied Statistics 4
Total Credit Hours from Additional Coursework- 4-8 credit hours
Must complete at least one course from each area with a grade of B- or higher. (Accompanying MOOC courses are listed within parenthesis after the High- Engagement course title)
Artificial Intelligence
Database and Information Systems: Data Mining
Interactive Computing (HCI/Graphics)
Systems & Networking: Cloud Computing
ADVANCED COURSEWORK: 12 credit hours (Any three courses from the list below; Grades must be C or higher )
HCI / Graphics
Statistical Analysis
Machine Learning
Information Science
Capstone Courses
ADDITIONAL COURSEWORK: 4-8 hours (Any course from the list below; Grade must be C or higher )
Or any other course from "Breadth Requirements" or "Advanced Coursework" listed above.