Full Stack

Full Stack Concentration

Data Science & Analytics Core

1. DASC/CS 620

   Introduction to Data Science and Analytics

   Not resolved to a course
2. CS 624

   Data Analytics and Big Data
   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

1. Electives (select three of the following):

   Not resolved to a course
   9
2. DASC 528

   Introduction to Deep Learning and Modern AI

   Not resolved to a course
3. DASC 546

   Fundamentals of Data Collection and Sourcing

   Not resolved to a course
4. DASC 547

   Practical and Principled Prompt Engineering

   Not resolved to a course
5. DASC 600

   Programming for Data Science ()

   As published: “Programming for Data Science”
   3
6. DASC 728

   Deep Learning Fundamentals and

   As published: “Deep Learning Fundamentals and Applications”
7. DASC 741

   Data-Driven Computational Imaging ()

   As published: “Data-Driven Computational Imaging”
   3
8. DASC 781

   AI for Health Sciences ()

   As published: “AI for Health Sciences”
   3
9. DASC 782

   Generative AI ()

   As published: “Generative AI”
   3
10. BNAL 503

    Data Visualization and Exploration ()

    As published: “Data Visualization and Exploration”
    3
11. BNAL 515

    Advanced Business Analytics/Big Data

    As published: “Advanced Business Analytics/Big Data Applications”
    3
12. CS 522

    Introduction to Machine Learning

    or: ECE 607 Machine Learning I
    3
13. CS 532

    Web Science ()

    As published: “Web Science”
    3
14. CS 550

    Database Concepts

    or: IT 650 Database Management Systems
    3
15. CS 569

    Data Analytics for Cybersecurity ()

    As published: “Data Analytics for Cybersecurity”
    3
16. CS 580

    Introduction to Artificial Intelligence ()

    As published: “Introduction to Artificial Intelligence”
    3
17. CS 581

    Trustworthy Health Analytics ()

    As published: “Trustworthy Health Analytics”
    3
18. CS 732

    Human Computer Interaction ()

    As published: “Human Computer Interaction”
    3
19. CS 733

    Natural Language Processing ()

    As published: “Natural Language Processing”
    3
20. CS 740

    Computer Vision ()

    As published: “Computer Vision”
    3
21. CYSE 607

    Advanced Digital Forensics ()

    As published: “Advanced Digital Forensics”
    3
22. CYSE 610

    Advanced Cryptography ()

    As published: “Advanced Cryptography”
    3
23. CYSE 635

    AI Security and Privacy ()

    As published: “AI Security and Privacy”
    3
24. ECE 784

    Computer Vision ()

    As published: “Computer Vision”
    3
25. GEOG 600

    Geospatial Data Analysis ()

    As published: “Geospatial Data Analysis”
    3
26. GEOG 601

    Spatial Statistics and Modeling ()

    As published: “Spatial Statistics and Modeling”
    3
27. PHYS 520

    Introductory Computational Physics ()

    As published: “Introductory Computational Physics”

    or: PHYS 711 Computational Physics
    3

Capstone or Thesis Option (select one): +

Capstone Option

Elective Course (3 credits) *

1. DASC 690

   Data Science Capstone Project ()

   As published: “Data Science Capstone Project (3 credits)”
   3

Thesis Option

1. DASC 699

   Thesis Research ()

   As published: “Thesis Research (6 credits) **”
   3