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Program checklist · Engineering & Big Data Analytics Concentration

Engineering & Big Data Analytics Concentration

Eastern Virginia Medical School · Norfolk, VA

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
Engineering & Big Data Analytics Concentration
Total credits (published)
30
Credits (computed from items)
9
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
231970
CourseShelf checklist
CK_231970_34db396d
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Engineering and Big Data Analysis Concentration

concentration · 0 items

    Data Science & Analytics Core

    major core · 5 items
    1. DASC/CS 620
      Introduction to Data Science and Analytics
      Not resolved to a course
    2. CS 624
      3
    3. CS 625
      Data Visualization ()
      As published: “Data Visualization”
      3
    4. DASC 603
      Probability Models for Data Science and Analytics
      Not resolved to a course
    5. DASC 605
      Advanced Statistical Concepts in Data
      As published: “Advanced Statistical Concepts in Data Science”
      or: DASC 771 Fundamentals of Interpretable Machine Learning and Explainable AI
      3

    Concentration Requirements

    concentration · 13 items
    1. Electives Group 1 (select two of the following):
      Not resolved to a course
      6
    2. DASC 600
      Programming for Data Science ()
      As published: “Programming for Data Science”
      3
    3. ECE 607
      Machine Learning I ()
      As published: “Machine Learning I”
      3
    4. ENMA 754
      Big Data Fundamentals ()
      As published: “Big Data Fundamentals”
      3
    5. MSIM 715
      High Performance Computing Simulation
      As published: “High Performance Computing Simulation and Data Analytics”
    6. Electives Group 2 (select one of the following):
      Not resolved to a course
      3
    7. CEE 701
      Applied Mathematics for Civil and Environmental Engineering
      As published: “Applied Mathematics for Civil and Environmental Engineers”
    8. ECE 651
      3
    9. ECE 780
      Machine Learning II ()
      As published: “Machine Learning II”
      3
    10. ECE 784
      Computer Vision ()
      As published: “Computer Vision”
      or: CS 740 Computer Vision
      3
    11. MAE 740
      /840 Autonomous and Robotic Systems Analysis
      As published: “Autonomous and Robotic Systems Analysis and Control”
      3
    12. MSIM 574
      Transportation Data Analytics ()
      As published: “Transportation Data Analytics”
      3
    13. MSIM 695
      Topics in Modeling and Simulation ()
      As published: “Topics in Modeling and Simulation”
      3

    Capstone or Thesis Option (select one): +

    0 items

      Capstone Option

      0 items

        Elective Course (3 credits) *

        electives · 1 item
        1. DASC 690
          Data Science Capstone Project ()
          As published: “Data Science Capstone Project (3 credits)”
          3

        Thesis Option

        1 item
        1. DASC 699
          Thesis Research ()
          As published: “Thesis Research (6 credits) **”
          3
        Source. Eastern Virginia Medical School, catalog 2026-2027 — https://catalog.odu.edu/graduate/data-science/data-science-analytics-engineering-big-ms/. Captured page pages/0579.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.