Sample Plan of Studies for Master of Science in Data Science and Engineering

(MS‑DSEN)

Program Requirements

An MS‑DSE student will take a total of 30 credit hours. Apart from the six required courses, the student is required to take a 3‑credit hour COMP 7980 Capstone Engineering Project.

Core Courses
  • COMP 6120: Database Systems I – 3 Credit Hours (Fall)
  • COMP 6130: Data Mining – 3 Credit Hours (Fall) (Spring After Fall ’23)
  • COMP 6630: Machine Learning – 3 Credit Hours (Spring) (Fall After Fall ’23)
  • STAT 6000: Intermediate Statistical Methods for Data Science – 3 Credit Hours (Fall)
  • STAT 6600: Probability & Statistics for Data Science – 3 Credit Hours (Fall)
  • STAT 6650: Statistical Learning – 3 Credit Hours (Spring)
  • COMP 7980: Capstone Engineering Project (Fall or Spring)
Electives

Select two from the following four courses:

  • COMP 6530: Cloud Computing – 3 Credit Hours (Spring)
  • COMP 6600: Artificial Intelligence – 3 Credit Hours (Fall)
  • COMP 6650: Deep Learning – 3 Credit Hours (Spring)
  • COMP 6660: Evolutionary Computing – 3 Credit Hours (Fall)

Select any one from the following six courses:

  • COMP 6320: Design and Analysis of Computer Networks (Fall)
  • COMP 6350: Digital Forensics – 3 Credit Hours (Fall)
  • COMP 6360: Wireless and Mobile Networks (Spring)
  • COMP 6970: Special Topics: Computational Biology (Spring)
  • COMP 6970: Special Topics: Information Retrieval (Spring)
  • COMP 7970: Special Topics: Natural Language Processing (Fall)

Total Credit Hours: 30

Course Offerings and Syllabi

For course offerings and syllabi, please refer to the Course Offerings and Syllabi page.

Sample Course Schedules

  • 1st Semester (Fall):
    • COMP 6120: Database Systems I
    • STAT 6000: Intermediate Statistical Methods for Data Science
    • STAT 6600: Probability & Statistics for Data Science
  • 2nd Semester (Spring):
    • COMP 6130: Data Mining
    • STAT 6650: Statistical Learning
    • COMP Elective 1*
  • 3rd Semester (Fall):
    • COMP 6630: Machine Learning
    • COMP Elective 2**
    • COMP Elective 3**
  • 4th Semester (Spring):
    • COMP 7980: Capstone Engineering Project

Notes:

  • * COMP Elective 1 (Spring): Select any one from:
    • COMP 6530: Cloud Computing
    • COMP 6650: Deep Learning
    • COMP 6970: Special Topics: Information Retrieval
    • COMP 6970: Special Topics: Computational Biology
    • COMP 6360: Wireless and Mobile Networks
  • ** COMP Electives 2 & 3 (Fall): Select any two from:
    • COMP 6600: Artificial Intelligence
    • COMP 6320: Design and Analysis of Computer Networks
    • COMP 6350: Digital Forensics
    • COMP 6660: Evolutionary Computing
    • COMP 7970: Special Topics: Natural Language Processing

  • 1st Semester (Spring):
    • COMP 6130: Data Mining
    • STAT 6650: Statistical Learning
    • COMP Elective 1*
  • 2nd Semester (Fall):
    • COMP 6120: Database Systems I
    • STAT 6000: Intermediate Statistical Methods for Data Science
    • STAT 6600: Probability & Statistics for Data Science
  • 3rd Semester (Spring):
    • COMP 6630: Machine Learning
    • COMP Elective 2**
    • COMP Elective 3**
  • 4th Semester (Fall):
    • COMP 7980: Capstone Engineering Project

Notes:

  • * COMP Elective 1 (Spring): Select any one from:
    • COMP 6530: Cloud Computing
    • COMP 6650: Deep Learning
    • COMP 6970: Special Topics: Information Retrieval
    • COMP 6970: Special Topics: Computational Biology
    • COMP 6360: Wireless and Mobile Networks
  • ** COMP Electives 2 & 3 (Fall): Select any two from:
    • COMP 6600: Artificial Intelligence
    • COMP 6320: Design and Analysis of Computer Networks
    • COMP 6350: Digital Forensics
    • COMP 6660: Evolutionary Computing
    • COMP 7970: Special Topics: Natural Language Processing
Contact Information

Department of Computer Science and Software Engineering

3101 Shelby Center for Engineering Technology

Auburn, AL 36849‑5347 USA

Phone: (334) 844‑4330

Fax: (334) 844‑6329

Website: Auburn University CSSE