Indiana Institute of Technology

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: High school diploma or equivalent required; prior IT or programming experience preferred for professional certificates. GPA of 2.5+ and basic technical skills assessment may be needed.

About This Program

An 18-credit hour program providing essential skills in AI, starting with programming foundations and transitioning to core concepts like heuristic search and neural networks.

Career Outcomes

Develop machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

• 1. AI Applications Developer
• 2. Machine Learning Engineer
• 3. AI Ethics Consultant
• 4. Data Intelligence Analyst

What You'll Learn

• Core AI algorithms and machine learning models
• Application of AI tools like LLMs and computer vision
• Ethical considerations in AI development and deployment
• Hands-on programming for AI systems and data processing

Curriculum Highlights

Focuses on topics such as heuristic search, knowledge representation, machine learning basics, neural networks, and advanced architectures for various industrial applications.

Top Employers

Top employers include tech firms like Google, Microsoft, Amazon, and IBM, as well as consulting companies and industry leaders integrating AI solutions.

Admissions

High school diploma or equivalent required; prior IT or programming experience preferred for professional certificates. GPA of 2.5+ and basic technical skills assessment may be needed.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2 optional
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: None (post-secondary certificate)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)