Degree requirements
The Bachelor of Science in Data Science is a 120 credit hour program. Students must earn a C- or higher in all courses and maintain a cumulative grade point average of 2.0 or higher to graduate.
First Year Seminar
- INFO-I 100 First Year Experience (1 cr.)
Data Science Core (51 cr.)
- INFO-I 201 Mathematical Foundations of Informatics (4 cr.)
- DSCI-D 201 Foundations of Data Studies (3 cr., was LIS-S 201)
- INFO-I 202 Social Informatics (3 cr.)
- DSCI-D 202 Data Organization and Representation (3 cr., was LIS-S 202)
- DSCI-D 210 Programming with Python 1 (4 cr., was INFO-B 210) or CSCI-C 200 Introduction to Computers and Programming (4 cr.) or INFO-I 210 Information Infrastructure I (4 cr.)
- DSCI-D 211 Programming with Python 2 (4 cr., was INFO-B 211)
- INFO-I 223 Data Fluency (3 cr.)
- DSCI-D 301 Data Policy and Governance (3 cr., was LIS-S 301)
- INFO-I 305 Introduction to Research in Informatics (3 cr.)
- DSCI-D 305 Data Curation and Management (3 cr., was LIS-S 305)
- DSCI-D 308 Database Design (3 cr., was INFO-I 308)
- NEWM-N 328 Visualizing Information (3 cr.)
- DSCI-D 415 Statistical Learning (3 cr., was INFO-I 415)
- INFO-I 421 Applications of Data Mining (3 cr.)
- DSCI-D 428 Web Mining (3 cr., was INFO-I 428)
- INFO-B 443 Natural Language Processing (3 cr)
Career Readiness (2 cr.)
- NEWM-N 299 Career Readiness (2 cr.)
Informatics Capstone (3 cr.)
- INFO-I 400 Finland Study Abroad (3 cr.)
- INFO-I 491 Capstone Project Internship (3 cr.)
- INFO-I 492 Capstone Thesis (3 cr.)
- INFO-I 494 Capstone Project (3 cr.)
General Education (33 cr.)
- Core Communication (6 cr.)
- Analytical Reasoning A (9 cr.)
- MATH-I 153 College Algebra (3 cr.)
- MATH-I 154 Trigonometry (3 cr.)
- MATH-I 243 Linear Algebra (3 cr.)
- Analytical Reasoning B (3 cr.)
- Cultural Understanding (3 cr.)
- Life and Physical Sciences (6 cr.)
- Arts and Humanities (3 cr.)
- Social Science (3 cr.)