Department website: https://www.odu.edu/datascience
Dr. Frank Liu, School Director (fliu@odu.edu)
The increased amount of available data has escalated the demand for data science professionals. Data Science is a field of scientific methods, processes, and systems to extract knowledge or insights from a variety of data sources. The Major in Data for a Human World provides coursework allowing students to explore diverse pathways in Data Science, including intersections with the Humanities, Geography, Computer Science, Mathematics and the Visual Arts. The major creates an interdisciplinary understanding of Data Science by developing critical thinking and problem-solving skills from other perspectives and apply writing, communication, and creativity skills to applications in Data Science.
For more information about the program contact Dr. Teresa Kouri Kissel (tkouri@odu.edu), Associate Professor of Philosophy & Religious Studies.
Requirements
Lower-Division General Education
Course List Code | Title | Credit Hours |
| 6 |
| 3 |
| 3 |
| 0-6 |
| 3 |
| 3 |
| 3 |
| 3 |
| 3 |
| 3 |
| 8 |
| 3 |
Mathematics: Met with STAT 130M in Foundations.
Human Behavior: May not be met with DASC 205S or SOC 205S.
Philosophy and Ethics: Met with DASC 357E/PHIL 357E in the major.
Impact of Technology: Met with BDA 200T in the major.
Upper-Division General Education
Met in the major.
Requirements for Graduation
Requirements for graduation include the following:
- Minimum of 120 credit hours.
- Minimum of 30 credit hours overall and 12 credit hours of upper-level courses in the major program from Old Dominion University.
- Minimum overall cumulative grade point average of C (2.00) in all courses taken.
- Minimum overall cumulative grade point average of C (2.00) in all courses taken toward the major.
- Minimum overall cumulative grade point average of C (2.00) in all courses taken toward a minor.
- Completion of ENGL 110C, ENGL 211C or ENGL 231C, and the writing intensive (W) course in the major with a grade of C or better. The W course must be taken at Old Dominion University.
- Completion of Senior Assessment.
Data for a Human World Major
Course List
Code |
Title |
Credit Hours |
| 32-38 |
| |
MATH 163 | Precalculus II ** | 3 |
STAT 130M | Elementary Statistics | 3 |
| 8 |
| Introduction to Data Science Programming and Data Science Programming | |
| Introduction to Programming with Python and Data Processing with Python | |
| Introduction to Programming with Python and Programming with Java | |
BDA 200T | Elements of Data Science | 3 |
DASC/SOC 205S | Data, Technology, Society | 3 |
DASC 300 | Foundations of Data Science | 3 |
DASC/PHIL 357E | Ethics and Data | 3 |
DASC 434 | Data Curation and Management | 3 |
IT 360T | Principles of Information Technology | 3 |
IT 450 | Database Concepts | 3 |
STAT 310 | Introductory Data Analysis | 3 |
DASC 436W | Data Science Capstone Project * | 3 |
| 9 |
| Communicating Data | |
| English Linguistics | |
| Topics in History *** | |
| Data and Humanities Research | |
| Philosophy of Information | |
| Population and Society | |
| Topics in Women's, Gender, and Sexuality Studies *** | |
| 18 |
| Introduction to Strategic Communications | |
| Health Communication | |
| Social Science and Crime Mapping | |
| Technical Writing | |
| Maps and Geographic Information | |
| Geographic Information Systems | |
| Interdisciplinary Theory and Concepts | |
| Dimensions of Diversity: Intersectionality Among Women | |
| Artificial Intelligence (AI) Ethics and Policy | |
| Social Research Methods | |
| Feminist Research Methods | |
Total Credit Hours | 100-106 |
No more than two classes, or six credits, may be counted for both the major and a minor. Some minors may allow fewer credits to share.
Electives
Elective credit may be needed to meet the minimum of 120 hours required for the degree.
Degree Program Guide
The Degree Program Guide is a suggested curriculum to complete this degree program in four years. It is just one of several plans that will work and is presented only as broad guidance to students. Each student is strongly encouraged to develop a customized plan in consultation with their academic advisor. Additional information can also be found in Degree Works.
Plan of Study Grid
Freshman |
Fall |
ENGL 110C |
English Composition () |
3 |
|
3 |
|
3 |
DASC/SOC 205S |
Data, Technology, Society |
3 |
|
3 |
| Credit Hours | 15 |
Spring |
ENGL 211C
|
Writing, Rhetoric, and Research ()
or Writing, Rhetoric, and Research: Special Topics |
3 |
|
3 |
|
3 |
MATH 163 |
Precalculus II |
3 |
BDA 200T |
Elements of Data Science |
3 |
| Credit Hours | 15 |
Sophomore |
Fall |
|
4 |
DASC 157
|
Introduction to Data Science Programming
or Introduction to Programming with Python |
4 |
STAT 130M |
Elementary Statistics |
3 |
|
3 |
|
2 |
| Credit Hours | 16 |
Spring |
|
4 |
DASC 255
|
Data Processing with Python
or Data Science Programming or Programming with Java |
4 |
STAT 310 |
Introductory Data Analysis |
3 |
|
3 |
| Credit Hours | 14 |
Junior |
Fall |
DASC 300 |
Foundations of Data Science |
3 |
IT 360T |
Principles of Information Technology |
3 |
|
9 |
| Credit Hours | 15 |
Spring |
DASC/PHIL 357E |
Ethics and Data |
3 |
IT 450 |
Database Concepts |
3 |
|
3 |
|
6 |
| Credit Hours | 15 |
Senior |
Fall |
|
3 |
DASC 434 |
Data Curation and Management |
3 |
|
6 |
|
3 |
| Credit Hours | 15 |
Spring |
|
3 |
DASC 436W |
Data Science Capstone Project () |
3 |
|
6 |
|
3 |
| Credit Hours | 15 |
| Total Credit Hours | 120 |