Requirements

Degree maps

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.

• Data Science Degree Map
• Applied Information Science Degree Map
• Data Science B.S. + Applied Data Science M.S. Degree Map
• Data Science B.S. + Library and Information Science M.S. Degree Map

Degree requirements

First Year Seminar

• INFO-I 100 First Year Experience (1 cr.)

Data Science Core (54 cr.)

• AII-I 200 Introduction to Data Science (4 cr.)
• INFO-I 201 Mathematical Foundations of Informatics (4 cr.)
• LIS-S 201 Foundations of Data Studies (3 cr.)
• INFO-I 202 Social Informatics (3 cr.)
• LIS-S 202 Data Organization and Representation (3 cr.)
• INFO-B 210 Information Infrastructure I (4 cr.)
• INFO-B 211 Information Infrastructure II (4 cr.)
• INFO-I 223 Data Fluency (3 cr.)
• LIS-S 301 Data Policy and Governance (3 cr.)
• INFO-I 305 Introduction to Research in Informatics (3 cr.)
• LIS-S 305 Data Curation and Management (3 cr.)
• INFO-I 308 Information Representation (3 cr.)
• NEWM-N 328 Visualizing Information (3 cr.)
• INFO-I 415 Introduction to Statistical Learning (3 cr.)
• INFO-I 421 Applications of Data Mining (3 cr.)
• INFO-I 428 Web Mining (3 cr)
• INFO-B 443 Natural Language Processing (3 cr)

Career Planning (2 cr.)

• NEWM-N 299 Career Planning (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.)
  • PBHL-B 302 Biostatistics for Informatics (3 cr.)
• Cultural Understanding (3 cr.)
• Life and Physical Sciences (6 cr.)
• Arts and Humanities (3 cr.)
• Social Science (3 cr.)