BSAIML · 30 credits · 10 courses · 7-week format
B.S. in Artificial Intelligence and Machine Learning
A 30-credit, ten-course program that moves students from AI foundations and programming through model development, evaluation, responsible AI, deployment, and an integrative capstone.
Total credits
Courses to complete
Credits per course
Weeks per course
Program learning outcomes
What a graduate can do
- Explain core AI and machine-learning concepts and select appropriate methods for a problem.
- Prepare data and engineer features for supervised and unsupervised learning.
- Build, train, and evaluate models using industry-standard tools and workflows.
- Apply responsible-AI, privacy, and security principles across the model lifecycle.
- Deploy and monitor models and communicate results to technical and non-technical audiences.
- Produce a professional capstone artifact demonstrating integrated, independent work.
Coverage
Disciplinary areas
Curriculum
Course inventory
8 core courses plus electives and a capstone. Students complete ten three-credit courses for 30 credits; the approved inventory is larger to support elective choice.
The model course: what AI is, its history, capabilities, limits, and the landscape of methods and tools. Core · 3 cr
Python for data and modeling — environments, libraries, notebooks, and reproducible workflows. Core · 3 cr
Sourcing, cleaning, transforming, and engineering data into model-ready features. Core · 3 cr
Supervised and unsupervised learning, model families, and the bias–variance tradeoff. Core · 3 cr
Building and training models, tuning, and managing experiments end to end. Core · 3 cr
Metrics, validation strategy, error analysis, and honest reporting of performance. Core · 3 cr
Fairness, transparency, accountability, privacy, and governance across the lifecycle. Core · 3 cr
Packaging, serving, monitoring, and maintaining models in production environments. Core · 3 cr
Foundation models, prompting, retrieval, evaluation, and safe application patterns. Elective · 3 cr
Deploying AI where privacy, security, and regulatory constraints govern the work. Elective · 3 cr
Designing AI products around how people understand, trust, and adopt them. Elective · 3 cr
An integrative, professional project defended before faculty and documented as a portfolio artifact. Capstone · 3 cr
Each course licenses with complete documentation, seven weekly modules, three-hour synchronous session plans, asynchronous activities, labs or cases, assignments, rubrics, and instructor & student guides. See individual courses.
Available for licensing and customization
Adopt it as-is, or adapt it to your institution
This program is available for institutional licensing. It may be adopted as a complete curriculum or customized for your academic model, students, faculty, delivery schedule, modality, policies, branding, technology environment, accreditation needs, and regional or industry context.
The licensing package may include the program overview and rationale, program learning outcomes, curriculum structure and maps, required and elective courses with sequencing and prerequisites, complete course documentation, seven-week instructional modules, synchronous session plans, asynchronous activities, laboratories and case studies, assignments and rubrics, instructor and student guidance, certification and career mapping, capstone documentation, and implementation and quality-assurance materials.