• Concentrations and course offerings may vary by campus and/or by program modality.  Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality. 
  • Certain options within the program may be required at certain campuses or for certain program modalities.  Please consult with your advisor or admissions coach for requirements at your campus or for your program modality. 

Complete all courses listed below unless otherwise indicated. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified and complete any additional courses needed beyond specific college and major requirements to satisfy graduation credit requirements.

Universitywide Requirements

All undergraduate students are required to complete the Universitywide Requirements.

NUpath Requirements

All undergraduate students are required to complete the NUpath Requirements.

Data Science Major Requirements

Computer Science Overview
CS 1200First Year Seminar1
CS 1210Professional Development for Khoury Co-op1
Fundamental Courses
CS 1800
and CS 1802
Discrete Structures
and Seminar for CS 1800
5
Programming Sequence Pathways
Choose one of the two options.12
Computer Science Option
Fundamentals of Computer Science 1
and Lab for CS 2500
Fundamentals of Computer Science 2
and Lab for CS 2510
Object-Oriented Design
and Lab for CS 3500
Data Science Option
Programming with Data
and Data Science Programming Practicum
Intermediate Programming with Data
and Lab for DS 2500
Advanced Programming with Data
Computer Science Required Courses
CS 3000Algorithms and Data4
CS 3200Introduction to Databases4
CS 3520Programming in C++4
or CS 3650 Computer Systems
Data Science Electives
Complete three of the following:12
Artificial Intelligence
Natural Language Processing
Information Retrieval
Human Computer Interaction
Data Science Required Courses
DS 3000Foundations of Data Science4
DS 4200Information Presentation and Visualization4
DS 4300Large-Scale Information Storage and Retrieval4
DS 4400Machine Learning and Data Mining 14
DS 4420Machine Learning and Data Mining 24
or DS 4440 Practical Neural Networks
Presentation Requirement
Choose one:4
Public Speaking
Business and Professional Speaking
Persuasion and Rhetoric
Communication and Storytelling
Improvisation
Introduction to Acting
Dynamic Presence: Theatre Training for Effective Interpersonal Interactions
Acting for the Camera
Mathematics Foundations
MATH 1341Calculus 1 for Science and Engineering4
MATH 1342Calculus 2 for Science and Engineering4
MATH 2331Linear Algebra4
MATH 3081Probability and Statistics4
Data Science and Ethics
PHIL 1145Technology and Human Values4
Khoury Elective Courses
With advisor approval, directed study, research, project study, and appropriate graduate-level courses may also be taken as upper-division electives.
Complete 4 credits of CS, CY, DS, or IS classes that are not already required. Choose courses within the following ranges: 4
CS 2500 or higher, except CS 5010
CY 2000 or higher, except CY 4930
DS 2500 or higher, except DS 4900
IS 2000 or higher, except IS 4900
Data Science Related Electives in Other Units
Complete one of the following:4
Information Design 1
Information Design Studio 1: Principles
Information Design History
Research Methods for Design
Visualization Technologies 1: Fundamentals
Information Design Studio 2: Dynamic Mapping and Models
Bioinformatics Computational Methods 1
Bioinformatics Computational Methods 2
Statistics for Economists
Applied Econometrics
Computer Vision
Data Visualization
Introduction to Machine Learning and Pattern Recognition
Biostatistics
Game Design and Analysis
Data-Driven Player Modeling
Introduction to Health Informatics and Health Information Systems
Data Management in Healthcare
Personal Health Interface Design and Development
Evaluating Health Technologies
Data Mining for Engineering Applications
Empirical Research Methods
Calculus 3 for Science and Engineering
Statistics and Stochastic Processes
Business Statistics
Data Management for Business
Marketing Research
Marketing Analytics
Information Ethics
AI Ethics
Statistics in Psychological Research
Cognition

Computer Science Writing Requirement

College Writing
ENGW 1111First-Year Writing4
Advanced Writing in the Disciplines
ENGW 3302Advanced Writing in the Technical Professions4
or ENGW 3315 Interdisciplinary Advanced Writing in the Disciplines

Required General Electives

Complete 28 semester hours of general electives.28

Khoury College GPA Requirement

Minimum cumulative 2.000 GPA required in all CS, CY, DS, and IS courses

NUpath Requirements Satisfied

  • Engaging with the Natural and Designed World
  • Conducting Formal and Quantitative Reasoning
  • Analyzing and Using Data
  • Writing in the First Year
  • Advanced Writing in the Disciplines
  • Writing-Intensive in the Major
  • Demonstrating Thought and Action in a Capstone

Integrating Knowledge and Skills Through Experience is satisfied through co-op.

Program Requirement

130 total semester hours required

Sample Plan of Study:

Four Years, Two Co-ops Summer 2/Fall

Year 1
FallHoursSpringHoursSummer 1HoursSummer 2Hours
CS 12001DS 2500
and DS 2501
5CS 32004MATH 23314
CS 1800
and CS 1802
5MATH 13424MATH 30814Elective4
DS 2000
and DS 2001
4PHIL 11454  
ENGW 11114Elective4  
MATH 13414   
 18 17 8 8
Year 2
FallHoursSpringHoursSummer 1HoursSummer 2Hours
CS 35204CS 12101CS 30004Co-op
DS 30004DS 42004Elective4 
DS 35004DS 43004  
Presentation Requirement4Elective4  
 Elective4  
 16 17 8 0
Year 3
FallHoursSpringHoursSummer 1HoursSummer 2Hours
Co-opDS 44004ENGW 33024Co-op
 Data Science Elective 24Elective4 
 Data Science Elective 14  
 Elective4  
 0 16 8 0
Year 4
FallHoursSpringHours  
Co-opDS 4420 or 44404  
 Data Science Related Elective4  
 Data Science Elective 34  
 Khoury Elective4  
 0 16  
Total Hours: 132

Four Years, Two Co-ops Spring/Summer 1

Year 1
FallHoursSpringHoursSummer 1HoursSummer 2Hours
CS 12001DS 2500
and DS 2501
5CS 32004MATH 23314
CS 1800
and CS 1802
5MATH 13424MATH 30814Elective4
DS 2000
and DS 2001
4PHIL 11454  
ENGW 11114Elective4  
MATH 13414   
 18 17 8 8
Year 2
FallHoursSpringHoursSummer 1HoursSummer 2Hours
CS 12101Co-opCo-opElective4
CS 35204  Elective4
DS 30004   
DS 35004   
Presentation Requirement4   
 17 0 0 8
Year 3
FallHoursSpringHoursSummer 1HoursSummer 2Hours
DS 42004Co-opCo-opENGW 33024
DS 43004  Elective4
CS 30004   
Elective4   
 16 0 0 8
Year 4
FallHoursSpringHours  
DS 44004DS 4420 or 44404  
Data Science Elective 14Data Science Related Elective4  
Data Science Elective 24Data Science Elective 34  
Elective4Khoury Elective4  
 16 16  
Total Hours: 132