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2025-2026 Undergraduate Catalog
Artificial Intelligence, B.S.
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The Bachelor of Artificial Intelligence degree provides students the opportunity to gain cutting-edge AI knowledge and skills with a solid theoretical foundation as well as a good understanding of different application areas. This bachelor program prepares students for a productive career in industry, lifelong learning, and for graduate study in AI. The BS in AI is strategically designed to build on the strengths of existing computing programs on campus and produce well-rounded students with a balance between strong theoretical foundations as well as practical and hands-on technical skills. The program also includes a strong professional component for the development of skills in technical communication, ethics, and teamwork. The program was designed to satisfy the local and national industry needs and student learning perspectives.
Specific offerings for each semester may be found in the Schedule of Classes.
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Program educational objectives
• Understand representations, algorithms and techniques used across works in Artificial Intelligence and be able to apply and evaluate them in applications as well as develop their own.
• Understand and apply machine-learning techniques, in particular to draw inferences from data and help automate the development of AI systems and components.
• Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether it is to improve overall integrated system performance, improve AI performance or influence human performance and learning.
• Understand the ethical concerns in developing responsible AI technologies.
• Implement AI systems, model human behavior, and evaluate their performance. Requirements for the major in Artificial Intelligence, B.S.
To earn the Bachelor of Science degree with a major in artificial intelligence students must complete a minimum of 128 credits and meet the following requirements: General Education requirements
In order to graduate on-schedule without taking additional courses, it is highly recommended that students meet with an Undergraduate Academic Adviser concerning the selection of all of their general education courses. Each candidate for an Oakland University baccalaureate will need to satisfactorily complete approved courses in each of the following areas: Foundations, Explorations, Integration, Writing Intensive, and US Diversity. For details, refer to the General Education Requirements section of the catalog.
Foundation - Writing Foundations (WRT 1060)
- Formal Reasoning (Satisfied by MTH 1554; see Quantitative foundations)
Explorations One course from each of the seven Explorations areas Arts - Language and Culture
- Global Perspective
- Literature
- Natural Science and Technology (Satisfied by an approved science elective)
- Social Science
- Western Civilization (Satisfied by PHL 1310; see additional major requirements)
Integration - Knowledge Applications (Satisfied by MTH 1555; see Quantitative foundations)
U.S. Diversity - May be met by an approved course in the Explorations area.
Writing Intensive and Capstone - Capstone (Satisfied by CSI 4999; see Required professional subjects)
- Writing Intensive in the Major (Satisfied by CSI 4999; see Required professional subjects)
- Writing Intensive in General Education (may be met by an approved course in the Explorations area)
Additional Major Requirements All students must complete the following requirement. - Professional Ethics: PHL 1310 - Introduction to Ethics in Science and Engineering
Approved science elective
Take one of the following: Artificial intelligence core
Required professional subjects
Professional electives
Students must complete three courses as part of the professional electives requirements. Courses can be selected from within one area if the student has a particular academic interest or any combination of courses listed under different areas. Edge AI and Distributed Computing Area
Human-Centered AI and Robotics Area
Note
CSI 4900 (Special Topics), CSI 4995 (Undergraduate Research), and CSI 4996 (Independent Study) may also count toward fulfilling the professional electives requirement, provided each course is at least 3 credits. General elective credits may be needed to meet the minimum of 128 credits required for the degree, depending on the chosen professional electives courses. Students following this catalog may apply any future courses introduced within the professional electives to meet the professional electives requirement. Flexible Electives
Students must complete a minimum of 6 additional credits in flexible electives. Flexible elective courses can be chosen from 3000-level or higher courses in CSI, BE, ECE, ISE, ME, APM, MOR, MTH, STA, BIO, CHM, or PHY, or from the approved courses listed below. No more than 2 credits of CSI 4950 (Internship) can be used to fulfill the flexible electives requirement. Additionally, courses at the 5000-level require approval from the instructor.
Approved flexible electives courses: Optional Concentrations
The Computer Science and Engineering Department offers optional major-dependent concentrations to any student enrolled in the Bachelor of Science degree in Artificial Intelligence. These concentrations aim to broaden students’ knowledge in specific areas. The concentrations will be noted on the transcript of the students. To earn a concentration as part of the Bachelor of Science degree in Artificial Intelligence, students must fulfill all the requirements of the Bachelor of Science degree in Artificial Intelligence and complete a minimum of 15 credits by selecting specific courses. These selected courses also count towards fulfilling the professional and flexible electives requirements of the Bachelor of Science degree in Artificial Intelligence. Please refer to the individual concentration requirements for more details. Students interested in the concentration should consult an academic adviser for guidance on course selection. The following major-dependent concentrations are available to students enrolled in the Bachelor of Science degree in Artificial Intelligence:
• Concentration in Cybersecurity
• Concentration in Data Science
• Concentration in Game Development Major Standing
To enroll in 3000- or higher level courses and to become candidates for the degree of Bachelor of Science with a major in Artificial Intelligence, students must gain major standing. An application for major standing should be submitted prior to intended enrollment in 3000- or higher level courses. Students can obtain the major standing form from the SECS Undergraduate Advising Website. When the application for major standing is approved, students with majors of Pre-Artificial Intelligence will have their major changed to Artificial Intelligence. Approval of both a major standing application and change of major to Artificial Intelligence is required prior to enrolling in any 3000- or higher-level courses. To gain major standing in Artificial Intelligence, students must: - have a minimum average GPA of 2.0 in major standing courses which consist of MTH 1554, MTH 1555, CSI 2120 or APM 2663, STA 2226, CSI 1320 or CSI 1420, CSI 2300, CSI 2310, CSI 2490, and CSI 2999;
- have no more than two grades with C-, D+, or D in the major standing courses;
- have not attempted any major standing course more than three times; and
- have not repeated more than three different major standing courses, with courses bearing a W (withdrawal) grade not being counted.
Conditional major standing, which permits students to register for 3000- or 4000-level SECS courses, will be granted in the semester during which the student will fulfill requirements for major standing courses. Performance requirements
Satisfactory completion of the program requires an average grade of at least 2.0 within each group: quantitative foundations and approved science elective; artificial intelligence core; and professional courses (including required professional subjects, professional electives, and flexible electives). Within the professional courses at most two different courses may be repeated, a total of three attempts per course is permitted, and at most two grades below C are permitted. A grade of C or better in CSI 4999 (Senior Capstone Project) must be received. Sample artificial intelligence schedule
Students entering the School of Engineering and Computer Science with the required background may follow a schedule such as the one indicated below. However, students will need additional time to complete the program if they do not have the required background upon entrance to the program. Freshman year
Fall semester – 16 credits Winter semester – 16 credits Sophomore year
Fall semester – 16 credits Winter semester – 18 credits Junior year
Fall semester – 16 credits Winter semester – 16 credits Senior year
Fall semester – 16 credits Winter semester – 14 credits |
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