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
Code | Title | Hours |
---|---|---|
Computer Science Overview | ||
CS 1200 | First Year Seminar | 1 |
CS 1210 | Professional Development for Khoury Co-op | 1 |
Fundamental Courses | ||
All students can take a self-assessment to attempt to place out of CS 2000 and CS 2001. Students who place out of CS 2000 and CS 2001 will instead substitute 4-5 semester hours of CS, CY, or DS coursework at the 3000 level or higher not otherwise required in the degree. | ||
CS 1800 and CS 1802 | Discrete Structures and Seminar for CS 1800 | 5 |
CS 2000 and CS 2001 | Introduction to Program Design and Implementation and Lab for CS 2000 | 5 |
Programming Sequence Pathways | ||
Choose one of the following options: | 9 | |
Computer Science Option | ||
Program Design and Implementation 1 and Lab for CS 2100 | ||
Program Design and Implementation 2 and Lab for CS 3100 | ||
Data Science Option | ||
Intermediate Programming with Data and Lab for DS 2500 | ||
Advanced Programming with Data | ||
Computer Science Required Courses | ||
CS 3000 | Algorithms and Data | 4 |
CS 3200 | Introduction to Databases | 4 |
CS 3520 | Programming in C++ | 4 |
or CS 3650 | Computer Systems | |
Data Science Electives | ||
Complete three of the following: | 12 | |
Artificial Intelligence | ||
Natural Language Processing | ||
Engineering LLM-Integrated Systems | ||
Information Retrieval | ||
AI Security and Privacy | ||
Data Science Required Courses | ||
DS 3000 | Foundations of Data Science | 4 |
DS 4200 | Information Presentation and Visualization | 4 |
DS 4300 | Large-Scale Information Storage and Retrieval | 4 |
DS 4400 | Machine Learning and Data Mining 1 | 4 |
DS 4420 | Machine Learning and Data Mining 2 | 4 |
or DS 4440 | Practical Neural Networks | |
Presentation Requirement | ||
Complete one of the following: | 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 1341 | Calculus 1 for Science and Engineering | 4 |
MATH 1342 | Calculus 2 for Science and Engineering | 4 |
MATH 2331 | Linear Algebra | 4 |
MATH 3081 | Probability and Statistics | 4 |
Data Science and Ethics | ||
PHIL 1145 | Technology and Human Values | 4 |
Khoury Approved Electives | ||
With advisor approval, directed study, research, project study, and appropriate graduate-level courses may also be taken as upper-division electives. | ||
Complete 4 semester hours from within the following options: | 4 | |
CS 2500 or higher, except CS 5010 | ||
CY 2000 or higher, except CY 4930 | ||
DS 2500 or higher, except DS 4900 | ||
Digital, Analytics, Technology, and Automation Research Practicum | ||
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 | ||
Empirical Research Methods | ||
Statistics for Economists | ||
Applied Econometrics | ||
Computer Vision | ||
Data Visualization | ||
Introduction to Machine Learning and Pattern Recognition | ||
Biostatistics | ||
Game Design and Analysis | ||
Data-Driven Game Design | ||
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 | ||
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
Code | Title | Hours |
---|---|---|
College Writing | ||
ENGW 1111 | First-Year Writing | 4 |
Advanced Writing in the Disciplines | ||
ENGW 3302 | Advanced Writing in the Technical Professions | 4 |
or ENGW 3315 | Interdisciplinary Advanced Writing in the Disciplines |
Required General Electives
Code | Title | Hours |
---|---|---|
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 Plans of Study
Four Years, Two Co-ops Summer Second Half/Fall
Year 1 | |||||||
---|---|---|---|---|---|---|---|
Fall | Hours | Spring | Hours | Summer 1 | Hours | Summer 2 | Hours |
CS 1200 | 1 | DS 2500 and DS 2501 | 5 | CS 3200 | 4 | MATH 2331 | 4 |
CS 1800 and CS 1802 | 5 | MATH 1342 | 4 | MATH 3081 | 4 | General Elective | 4 |
ENGW 1111 | 4 | PHIL 1145 | 4 | ||||
CS 2000 and CS 2001 | 5 | General Elective | 4 | ||||
MATH 1341 | 4 | ||||||
19 | 17 | 8 | 8 | ||||
Year 2 | |||||||
Fall | Hours | Spring | Hours | Summer 1 | Hours | Summer 2 | Hours |
CS 3520 | 4 | CS 1210 | 1 | CS 3000 | 4 | Co-op | 0 |
DS 3000 | 4 | DS 4200 | 4 | General Elective | 4 | ||
DS 3500 | 4 | DS 4300 | 4 | ||||
Presentation Requirement | 4 | General Elective | 4 | ||||
General Elective | 4 | ||||||
16 | 17 | 8 | 0 | ||||
Year 3 | |||||||
Fall | Hours | Spring | Hours | Summer 1 | Hours | Summer 2 | Hours |
Co-op | 0 | DS 4400 | 4 | ENGW 3302 | 4 | Co-op | 0 |
Data Science Elective 2 | 4 | General Elective | 4 | ||||
Data Science Elective 1 | 4 | ||||||
General Elective | 4 | ||||||
0 | 16 | 8 | 0 | ||||
Year 4 | |||||||
Fall | Hours | Spring | Hours | ||||
Co-op | 0 | DS 4420 or 4440 | 4 | ||||
Data Science Related Elective | 4 | ||||||
Data Science Elective 3 | 4 | ||||||
Khoury Elective | 4 | ||||||
0 | 16 | ||||||
Total Hours: 133 |
Four Years, Two Co-ops Spring/Summer First Half
Year 1 | |||||||
---|---|---|---|---|---|---|---|
Fall | Hours | Spring | Hours | Summer 1 | Hours | Summer 2 | Hours |
CS 1200 | 1 | DS 2500 and DS 2501 | 5 | CS 3200 | 4 | MATH 2331 | 4 |
CS 1800 and CS 1802 | 5 | MATH 1342 | 4 | MATH 3081 | 4 | General Elective | 4 |
ENGW 1111 | 4 | PHIL 1145 | 4 | ||||
CS 2000 and CS 2001 | 5 | General Elective | 4 | ||||
MATH 1341 | 4 | ||||||
19 | 17 | 8 | 8 | ||||
Year 2 | |||||||
Fall | Hours | Spring | Hours | Summer 1 | Hours | Summer 2 | Hours |
CS 1210 | 1 | Co-op | 0 | Co-op | 0 | General Elective | 4 |
CS 3520 | 4 | General Elective | 4 | ||||
DS 3000 | 4 | ||||||
DS 3500 | 4 | ||||||
Presentation Requirement | 4 | ||||||
17 | 0 | 0 | 8 | ||||
Year 3 | |||||||
Fall | Hours | Spring | Hours | Summer 1 | Hours | Summer 2 | Hours |
DS 4200 | 4 | Co-op | 0 | Co-op | 0 | ENGW 3302 | 4 |
DS 4300 | 4 | General Elective | 4 | ||||
CS 3000 | 4 | ||||||
General Elective | 4 | ||||||
16 | 0 | 0 | 8 | ||||
Year 4 | |||||||
Fall | Hours | Spring | Hours | ||||
DS 4400 | 4 | DS 4420 or 4440 | 4 | ||||
Data Science Elective 1 | 4 | Data Science Related Elective | 4 | ||||
Data Science Elective 2 | 4 | Data Science Elective 3 | 4 | ||||
General Elective | 4 | Khoury Elective | 4 | ||||
16 | 16 | ||||||
Total Hours: 133 |