Addenda

Master of Science in Clinical Pathologist Assistant

(approved 5/24/2018)

RequirementsHours
Core Curriculum
CPA 605Advanced Statistics and Data Analysis for Laboratory Medicine3
CPA 606Clinical Laboratory Management in the Health Care Setting3
CPA 607Evidence Based Literature Analysis for Laboratory Medicine3
CPA 608Laboratory Quality Diagnostic Algorithms3
CPA 609Patient Assessment, Consultation and Interprofessional Communication3
Advanced Technical Courses
CPA 650Advanced Hematology, Hemostasis, and Coagulation Therapy3
CPA 651Advanced Transfusion Medicine and Transplantation3
CPA 652Advanced Clinical Chemistry3
CPA 653Advanced Clinical Bacteriology, Parasitology, and Infectious Diseases3
CPA 654Pharmacology and Toxicology for the Laboratory Professional3
Research/Project and Internship
CPA 698Clincal Pathologist Assistant/Non-thesis Project3
CPA 690CPA Clinical Internship5
Total Hours38

Master of Science in Data Science

(approved 5/8/2018) 

Master of Science in Data Science

Plan I

RequirementsHours
CS 510Database Application Development3
or CS 610 Database Systems
CS 652Advanced Algorithms and Applications3
CS 667Machine Learning3
CS 685Foundations of Data Science3
Electives12
Data Analytics
Big Data Programming
Artificial Intelligence
Natural Language Processing
Data Mining
Deep Learning
Computer Vision and Convolutional Neural Networks
Data Visualization
Matrix Algorithms for Data Science
Complex Networks
Cyber Security
Computer Security
Network Security
Modern Cryptography
Cloud Security
High Performance Computing
Parallel Computing
Cloud Computing
Digital Forensics
Investigating Online Crimes
Digital Media Forensics
Cyber Risk Management
Non-Computer Science Electives 1
Biostatistics
Biostatistics
Statistical Methods I
Intermediate Statistical Analysis I
Bioinformatics
Introduction to Bioinformatics
Algorithms in Bioinformatics
Biological Data Management
Business Intelligence
Data Science for Business
Applied Marketing Research
Quantitative Analysis for Business Managers
Thesis Research6
Master's Thesis Research
Total Hours30

Plan II

RequirementsHours
CS 510Database Application Development3
or CS 610 Database Systems
CS 652Advanced Algorithms and Applications3
CS 667Machine Learning3
CS 685Foundations of Data Science3
Electives18
Data Analytics
Big Data Programming
Artificial Intelligence
Natural Language Processing
Data Mining
Deep Learning
Computer Vision and Convolutional Neural Networks
Data Visualization
Matrix Algorithms for Data Science
Complex Networks
Cyber Security
Computer Security
Network Security
Modern Cryptography
Cloud Security
High Performance Computing
Parallel Computing
Cloud Computing
Digital Forensics
Investigating Online Crimes
Digital Media Forensics
Cyber Risk Management
Non-Computer Science Electives 1
Biostatistics
Biostatistics
Statistical Methods I
Intermediate Statistical Analysis I
Bioinformatics
Introduction to Bioinformatics
Algorithms in Bioinformatics
Biological Data Management
Business Intelligence
Data Science for Business
Applied Marketing Research
Quantitative Analysis for Business Managers
Total Hours30
1

Students may take up to three (9 credit hours) non-CS electives upon the approval of the graduate program director