Bachelor of Arts Degree Requirements

Bachelor of Arts Degree Requirements & Maps

Degree Maps

The Bachelor of Arts in Artificial Intelligence requires 120 credit hours.

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.)
    • DSCI-D 210 Programming with Python 1 (4 cr., was INFO-B 210) 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.)
    • DSCI-D 211 Programming with Python 2 (4 cr., was INFO-B 211) or CSCI-A 205 Computer Programming (online, 4 cr.)
    • AII-I 220 Social Impact of Bots and Automation (3 cr.)
    • DSCI-D 302 Data and Society (3 cr., was LIS-S 302) or DSCI-D 404 Surveillance Studies (3 cr., was LIS-S 404)
    • PBHL-B 302 Biostatistics for Informatics (3 cr.) or PBHL-B 304 Biostatistics for Health Data Scientists: A Computational Approach (3 cr.)
    • INFO-I 303 Organization Informatics (3 cr.)
    • DSCI-D 308 Database Design (3 cr., was INFO-I 308)
    • AII-I 300 Collaborative Human-AI Systems
    • AII-I 310 Cognitive Automation and Bots Development (3 cr.)
    • AII-I 410 Enterprise Cognitive Automation (3 cr.)
    • INFO-B 443 Natural Language Processing (3 cr.)

Technical Writing (3 cr.)

Choose (1) one

  • ENG-W 230 Writing in the Sciences (3 cr.)
  • ENG-W 231 Professional Writing Skills (3 cr.)
  • ENG-W 270 Argumentative Writing (3 cr.)

General Education (35 cr.)

  • Arts and Humanities (3 cr.)
  • Analytical Reasoning (9 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 243 Linear Algebra for Data Science (on-campus, 3 cr.) or MATH-M 303 Linear Algebra (online, 3 cr.)
  • Core Communication (6 cr.)
  • Cultural Understanding (8 cr.)
    Choose (1) one:
    • Demonstrated 200-level world language proficiency,
    • 200-level world language course, OR
    • First-year world language sequence (131 and 132)
  • Life and Physical Sciences (6 cr.)
  • Social Sciences (3 cr.)
    • INFO-I 270 Introduction to Human-Computer Interaction Principles and Practices (on-campus or online, 3 cr.) recommended

Career Planning (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:

  • GEOL-G 132 Environmental Costs & Benefits of AI (3 cr.)
  • INFO-I 305 Introduction to Research (3 cr.)
  • CSCI-C 310 Data Structures - Python (3 cr.)
  • NEWM-N 328 Visualizing Information (3 cr.)
  • INFO-I 400 Topics in Data Science (3 cr.)
  • INFO-I 402 Project Management (3 cr.)
  • DSCI-D 415 Statistical Learning (3 cr., was INFO-I 415)
  • DSCI-D 416 Cloud Computing for Data Science (3 cr., was INFO-I 416)
  • DSCI-D 418 Deep Learning Neural Networks (3 cr., was INFO-I 418)
  • INFO-I 421 Applications of Data Mining (3 cr.)
  • DSCI-D 428 Web Mining (3 cr., was INFO-I 428)
  • 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 (19 cr.)

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