Bachelor of Science Degree Requirements

AI Core (46 cr.)

• INFO-I 100 First Year Experience (on-campus only, 1 cr.)
• AII-I 100 Introduction to Artificial Intelligence (3 cr.)
• INFO-I 201 Mathematical Foundations of Informatics (4 cr.)
• INFO-I 202 Social Informatics (3 cr., GE: Social Sciences)
• INFO-B 210 Information Infrastructure I or INFO-I 210 Information Infrastructure I or CSCI-C 200 Introduction to Computers and Programming (on-campus, 4 cr.); OR CSCI-A 204 Introduction to Programming (online, 4 cr.)
• INFO-B 211 Information Infrastructure II (on-campus, 4 cr.) or CSCI-A 205 Computer Programming (online, 4 cr.)
• INFO-I 220 Social Impact of Bots and Automation (3 cr.)
• AII-I 300 Collaborative Human–AI Systems (3 cr.)
• INFO-I 308 Information Representation (3 cr.)
• CSCI-C 310 Data Structures – Python (3 cr.)
• INFO-I 319 Cognitive Automation and Bots Development (3 cr.)
• INFO-I 419 Enterprise Cognitive Automation (3 cr.)
• INFO-I 421 Applications of Data Mining (3 cr.)
• INFO-B 443 Natural Language Processing (3 cr.)
• Ethics (3 cr.)
  Choose (1) one:
  • INFO-I 453 Computer and Information Ethics (3 cr.)
  • LIS-S 404 Surveillance Studies (3 cr.) or LIS-S 302 Data and Society (3 cr.)

General Education (39 cr.)

• Analytical Reasoning (fulfilled by the Mathematics and Statistics requirement)
• Arts and Humanities (3 cr.)
• Core Communication (6 cr.)
• Cultural Understanding (3 cr.)
• Life and Physical Sciences (6 cr.)
• Mathematics and Statistics (18 cr.)
  • MATH-I 153 College Algebra (on-campus, 3 cr.) or MATH-M 125 Precalculus Mathematics (online, 3 cr.)
  • MATH-I 154 Trigonometry (on-campus, 3 cr.) or MATH-M 126 Trigonometric Functions (online, 3 cr.)
  • MATH-I 241 Calculus for Data Science I (on-campus, 3 cr.) or MATH-M 220 Calculus for Data Science I (online, 3 cr.)
  • MATH-I 242 Calculus for Data Science II (on-campus, 3 cr.) or MATH-M 230 Calculus for Data Science II (online, 3 cr.)
  • MATH-I 243 Linear Algebra for Data Science (on-campus, 3 cr.) or MATH-M 303 Linear Algebra (online, 3 cr.)
  • PBHL-B 302 Biostatistics for Informatics – Python (3 cr.) or PBHL-B 304 Biostatistics for Health Data Science – R (3 cr.)
• Social Sciences (3 cr.)
  
  • INFO-I 270 Introduction to Human-Computer Interaction Principles and Practices (on-campus or online, 3 cr.) recommended

Career Readiness (2 cr.)

• NEWM-N 299 Career Readiness (2 cr.)

Experiential Learning (3 cr.)

Choose (1) one:

• INFO-I 491 Capstone Project Internship (3 cr.)
• INFO-I 492 Senior Thesis (3 cr.)
• INFO-I 494 Design and Development of an Information System (3 cr.)

AI Selectives (12 cr.)

Choose (4) four:

• INFO-I 303 Organizational Informatics (3 cr.)
• INFO-I 305 Introduction to Research (3 cr.)
• NEWM-N 328 Visualizing Information (3 cr.)
• INFO-I 400 Topics in Informatics (3 cr.)
• INFO-I 402 Project Management (3 cr.)
• INFO-I 415 Introduction to Statistical Learning (3 cr.)
• INFO-I 416 Applied Cloud Computing (3 cr.)
• INFO-I 418 Deep Learning Neural Networks (3 cr.)
• INFO-I 428 Web Mining (3 cr.)
• INFO-B 429 Machine Learning for Bioinformatics (3 cr.)
• INFO-B 436 Computational Methods for Biomedical Informatics (3 cr.)
• CSCI-C 455 Analysis of Algorithms (3 cr.)
• CSCI-C 463 Artificial Intelligence I (3 cr.)
• INFO-I 467 Internet-of-Things Interface Design for Business Innovation (3 cr.)
• INFO-I 483 Conversational User Interfaces: Experience Design and Applications (3 cr.)

Electives (18 cr.)

Choose IU Indianapolis courses that are not equivalent to previously taken courses.