DigiPen Institute of Technology

What you'll study

The curriculum develops skills across the AI development lifecycle, from foundations to advanced systems. Core focus areas explicitly called out in programme materials include:

• Machine learning fundamentals
• Neural networks and deep learning
• Large language models (LLMs) and transformer architectures
• Retrieval-augmented generation (RAG) systems
• Data analysis and visualization
• AI systems development, prompt engineering, and generative AI
• Software engineering practices for AI applications

Course structure by semester (prerequisites shown where provided):

• Semester 1: CS 5000 Data Structures and Algorithms; CS 5002 Python Programming for Data Analysis (no prerequisites).
• Semester 2: CS 5200 Artificial Intelligence and Machine Learning I (prereq: CS 5000 & CS 5002); CS 5201 Data Visualization (prereq: CS 5000 & CS 5002).
• Semester 3: CS 5210 Neural Networks (prereq: CS 5200); CS 5211 AI-Based Data Analysis (prereq: CS 5000 & CS 5002).
• Semester 4: CS 5220 Large Language Models I (prereq: CS 5200); CS 5221 Advanced AI Systems (prereq: CS 5002).
• Semester 5 — Capstone: CS 5010 Capstone Project (prereq: End of Program). The capstone supports mixed-discipline game or game-adjacent projects with emphasis on project and pipeline management, team dynamics, and cross-discipline integration.

Entry requirements

The source text does not specify formal admissions criteria on the course page excerpt. The programme is presented for developers, engineers, technical professionals, and adjacent fields; prospective applicants should consult DigiPen’s admissions pages for up-to-date prerequisites, application materials, and eligibility rules.

Career prospects

Graduates are prepared to contribute to contemporary AI projects across industries that use machine learning, automation, and intelligent systems. The hands-on, project-driven format targets roles where building, deploying, and maintaining AI systems are required, including positions on multidisciplinary development teams.

Scholarships & funding angle (general)

The programme page excerpt does not list scholarships. Students should investigate DigiPen financial aid options and external funding sources (employer sponsorship, government student aid, and merit or need-based scholarships) to support part-time graduate study.