Program requirements: Artificial Intelligence, Minor (Boston)
Note: Khoury minors are only available to non–Khoury majors; students in Khoury-only majors or Khoury combined majors are not eligible for Khoury minors. A student may declare at most one Khoury minor, regardless of how many Khoury minors they qualify for.
Complete all courses listed below unless otherwise indicated. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified.
Required Courses
| Code | Title | Hours |
| Fundamental Courses | ||
| All students can take a self-assessment to attempt to place out of CS 2000 and CS 2001. Students who place out of CS 2000 and CS 2001 will instead substitute 4-5 semester hours of CS, CY, or DS coursework at the 3000 level or higher not otherwise required in the degree. | ||
| CS 2000 and CS 2001 | Introduction to Program Design and Implementation and Lab for CS 2000 | 5 |
| CS 2100 and CS 2101 | Program Design and Implementation 1 and Lab for CS 2100 | 5 |
| Artificial Intelligence Foundations | ||
| DS 3000 | Mathematical Foundations of Artificial Intelligence | 4 |
| DS 4400 | Machine Learning | 4 |
Artificial Intelligence Electives
| Code | Title | Hours |
| Complete one of the following (only one course from the Meaningful Minor list may contribute toward the minor requirements): | 4 | |
| CS 3200 | Introduction to Databases | |
| DS 2010 to DS 4989 | ||
| Meaningful Minor list (see below) | ||
Khoury Meaningful Minors
The concept of Khoury Meaningful Minors allows students the chance to personalize a Khoury minor to meet individual academic needs and interests. Students may take one elective related to computation or information from a preapproved list of courses offered across the university rather than from within Khoury. This allows students to integrate the minor with a course in their own major or with a course in another area of interest. Students may of course choose to take all electives in the minor within Khoury if they wish.
| Code | Title | Hours |
| Arts, Media and Design | ||
| ARTG 5100 | Information Design Studio 1: Principles | |
| ARTG 5110 | Information Design History | |
| ARTG 5120 | Research Methods for Design | |
| ARTG 5330 | Visualization Technologies 1: Fundamentals | |
| ARTG 6100 | Information Design Studio 2: Dynamic Mapping and Models | |
| GSND 5110 | Game Design and Analysis | |
| GSND 6350 | Data-Driven Game Design | |
| JRNL 3700 | Data Storytelling | |
| JRNL 5500 | Coding for Digital Storytelling | |
| Bouvé Health Sciences | ||
| HINF 5101 | Introduction to Health Informatics and Health Information Systems | |
| HINF 5102 | Data Management in Healthcare | |
| HINF 5300 | Personal Health Interface Design and Development | |
| HINF 5301 | Evaluating Health Technologies | |
| D’Amore-McKim—Business | ||
| FINA 4335 | Computational Methods and Their Applications in Finance | |
| FINA 4350 | Applied Financial Econometrics and Data Modeling | |
| FINA 4390 | Machine Learning in Finance | |
| MISM 2510 | Fundamentals of Information Analytics | |
| MISM 3403 | Data Management for Business | |
| MISM 3501 | Information Visualization for Business | |
| MISM 3515 | Data Mining for Business | |
| MKTG 3401 | Marketing Research | |
| MKTG 3501 | Marketing Analytics | |
| SCHM 2301 | Supply Chain and Operations Management | |
| Khoury Computer Sciences | ||
| CY 5010 | Cybersecurity Principles and Practices | |
| CY 5200 | Security Risk Management and Assessment | |
| Engineering | ||
| CIVE 3464 | Probability and Engineering Economy for Civil Engineering | |
| EECE 5639 | Computer Vision | |
| EECE 5642 | Data Visualization | |
| EECE 5644 | Introduction to Machine Learning and Pattern Recognition | |
| IE 5640 | Data Mining for Engineering Applications | |
| Science | ||
| ENVR 2500 | Biostatistics | |
| MATH 2331 | Linear Algebra | |
| MATH 2341 | Differential Equations and Linear Algebra for Engineering | |
| MATH 3081 | Probability and Statistics | |
| MATH 4581 | Statistics and Stochastic Processes | |
| PSYC 2320 | Statistics in Psychological Research | |
| Social Science and Humanities | ||
| ECON 2350 | Statistics for Economists | |
| ECON 2560 | Applied Econometrics | |
| ECON 3916 | Intermediate Selected Topics in Microeconomics | |
| PHIL 2001 | Ethics and Evolutionary Games | |
| POLS 2400 | Quantitative Techniques | |