Indiana University Indianapolis

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 with a minimum GPA of 3.0 preferred; SAT/ACT scores optional for many programs.

About This Program

Offered as both BA and BS options, this program provides a comprehensive foundation in AI, emphasizing either human-centered informatics or technical engineering.

Career Outcomes

Start Deep Learning Engineer career in Cross-Industry AI with machine learning focus

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Research Scientist

What You'll Learn

• Fundamental AI concepts including machine learning and neural networks
• Programming and software development for AI systems
• Natural language processing and cognitive automation techniques
• Ethical considerations and social impacts of AI technologies

Curriculum Highlights

The curriculum covers informatics infrastructure, data science foundations, and specialized topics like natural language processing and enterprise cognitive automation.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional for many programs.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)