Indiana University Indianapolis

How this program compares

Budget-wise, $41.7K puts this bachelor's program at the 32nd percentile on cost — roughly 54% below the $89.8K average across 186 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

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. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 4 years.

Graduates frequently move into roles such as Deep Learning Engineer, with reported salaries around $120,000.

Fundamental AI concepts including machine learning and neural networks.

At roughly $41.7K total, Indiana University Indianapolis's BA or BS in Artificial Intelligence sits below the $89.8K average among AI bachelor's programs we track — the 32nd percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 20 AI-related programs we track in Indiana, of which about 75% offer an online option. On price, it comes in higher than about 75% of the Indiana programs in our data, where typical tuition runs near $31.8K.

Career Outcomes

The BA or BS in Artificial Intelligence at Indiana University Indianapolis (Indianapolis, Indiana) is oriented toward Deep Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Natural Language Processing (NLP) and Deep Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Indiana University Indianapolis's BA or BS in Artificial Intelligence generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions