A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Full Stack
- Total credits (published)
- 30
- Credits (computed from items)
- 9
- Catalog edition
- 2026-2027
- Checklist type
- degree-program
Identifiers
- IPEDS UNITID
- 232982
- CourseShelf checklist
- CK_232982_8f670cb4
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 59
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Full Stack Concentration
concentration · 0 items
Data Science & Analytics Core
major core · 5 items
- DASC/CS 620Introduction to Data Science and AnalyticsNot resolved to a course
- CS 624Data Analytics and Big DataNot resolved to a course
- CS 625Data VisualizationNot resolved to a course
- DASC 603Probability Models for Data Science and AnalyticsNot resolved to a course
- DASC 605Advanced Statistical Concepts in Data ScienceNot resolved to a courseor: DASC 771 Fundamentals of Interpretable Machine Learning and Explainable AI
Concentration Requirements
concentration · 27 items
- Electives (select three of the following):Not resolved to a course9
- DASC 528Introduction to Deep Learning and Modern AINot resolved to a course
- DASC 546Fundamentals of Data Collection and SourcingNot resolved to a course
- DASC 547Practical and Principled Prompt EngineeringNot resolved to a course
- DASC 600Programming for Data ScienceNot resolved to a course
- DASC 728Deep Learning Fundamentals and ApplicationsNot resolved to a course
- DASC 741Data-Driven Computational ImagingNot resolved to a course
- DASC 781AI for Health SciencesNot resolved to a course
- DASC 782Generative AINot resolved to a course
- BNAL 503Data Visualization and ExplorationNot resolved to a course
- BNAL 515Advanced Business Analytics/Big Data ApplicationsNot resolved to a course
- CS 522Introduction to Machine LearningNot resolved to a courseor: ECE 607 Machine Learning I
- CS 532Web ScienceNot resolved to a course
- CS 550Database ConceptsNot resolved to a courseor: IT 650 Database Management Systems
- CS 569Data Analytics for CybersecurityNot resolved to a course
- CS 580Introduction to Artificial IntelligenceNot resolved to a course
- CS 581Trustworthy Health AnalyticsNot resolved to a course
- CS 732Human Computer InteractionNot resolved to a course
- CS 733Natural Language ProcessingNot resolved to a course
- CS 740Computer VisionNot resolved to a course
- CYSE 607Advanced Digital ForensicsNot resolved to a course
- CYSE 610Advanced CryptographyNot resolved to a course
- CYSE 635AI Security and PrivacyNot resolved to a course
- ECE 784Computer VisionNot resolved to a course
- GEOG 600Geospatial Data AnalysisNot resolved to a course
- GEOG 601Spatial Statistics and ModelingNot resolved to a course
- PHYS 520Introductory Computational PhysicsNot resolved to a courseor: PHYS 711 Computational Physics
Capstone or Thesis Option (select one): +
0 items
Capstone Option
0 items
Elective Course (3 credits) *
electives · 1 item
- DASC 690Data Science Capstone Project (3 credits)Not resolved to a course
Thesis Option
1 item
- DASC 699Thesis Research (6 credits) **Not resolved to a course
Source. Old Dominion University, catalog 2026-2027 — https://catalog.odu.edu/graduate/data-science/data-science-analytics-full-stack-ms/. Captured page pages/0743.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.