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Data Science - M.S.

CIP Code

30.7001

 

Requirements

Courses Requirements for Data Science Program: Total Credits: 32

 

Requirement Master of Science (M.S.) credit hours
Breadth Requirements 16
Elective Courses 6
Professional Development 4
Thesis Research 6
Overall Requirements 32

 

Breadth Requirements (16 credits)

At least one (1) course from each of the following four (4) categories:

Breadth 1: Programming and Algorithms

  • DSCI 501 -  Programming and Algorithms for Data Science, 4 credits
  • DSCI 521 -  Data Visualization, 3 credits

Breadth 2: Artificial Intelligence and Machine Learning

  • DSCI 580 - Machine Learning – 4 credits 

Breadth 3: Data Mining/Database Systems

  • DSCI 512 - Advanced Database Management Systems, 4 credits
  • DSCI 581 - Natural Language Processing, 3 credits

Breadth 4: Statistical Analysis

  • NSCI 550 - Statistical Analysis for Life Sciences, 4 credits

Also, any other related course, approved by the Director of Graduate Studies in Data Science, can replace the courses in the above four (4) breadth areas.

Elective Course Work (6 credits for MS)
The students need to complete elective graduate level courses in any data science relevant areas. These areas include, but not limited to: Programming & Algorithms, Artificial Intelligence & Machine Learning, Data Mining/Database Systems, Statistical Analysis, HCI /Graphics, Cloud computing, Information Science, Numerical Analysis, Software Engineering, Parallel Computing, or Internet of Things.

Professional Development (at least 4 credits for MS)

The student completes professional development courses:

  • NSCI 593 – Professional Skills for Graduate Studies I, 0.5 credit hours
  • NSCI 594 – Professional Skills for Graduate Studies II, 0.5 credit hours
  • DSCI 590 – Journal Club, 1 credit
  • DSCI 594 – Literature Review, 1 credit
  • DSCI 595 – Manuscript Writing, 1 credit

Thesis Research (6 credits for MS): 

  • DSCI 591 – Thesis Research, 3 credit hours (Fall)
  • DSCI 592 – Thesis Research, 3 credit hours (Spring)

Year 1 - Fall

 
NSCI 593Professional Skills for Graduate Study

0.5
DSCI 590Graduate Data Science Journal Club

0.5
DSCI 501Programming and Algorithms for Data Science

4
NSCI 550Statistical Analysis for Life Sciences

4
Total Credit Hours:9

Year 1 - Spring

 
NSCI 594Literature Review

0.5
DSCI 512Advanced Database Management

4
DSCI 580Advanced Machine Learning

4
DSCI 590Graduate Data Science Journal Club

0.5
DSCI 594Literature Review

1
Total Credit Hours:10

Year 1 - Summer

 
DSCI 599Thesis Preparation

1-9
Total Credit Hours:0-6

Year 2 - Fall

 
DSCI 521Data Visualization

3
DSCI 581Natural Language Processing

3
DSCI 591Thesis Research

1-6
Total Credit Hours:9

Year 2 - Spring

 
DSCI 592Thesis Research

1-6
DSCI 595Manuscript Writing

1
DSCI 599Thesis Preparation

1-9
Total Credit Hours:9

Total Credit Hours: 32

Advisor

Graduate students in the Data Science program must identify and acquire a graduate advisor no later than the latter part of the Fall semester of the first year of matriculation. The graduate student and advisor will develop a specified plan that will include courses and other graduation requirements during the duration of graduate program of study. Full-time graduate students are required to complete their course work by the end of their fourth semester in the program.