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Admission Snapshot
Typical admitted student: A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with relevant quantitative background or professional experience in tech, business, or healthcare. GRE is optional; international applicants need TOEFL/IELTS scores.
About This Program
This online graduate program provides a foundation in AI principles and ethics with specialized application tracks for business or healthcare informatics.
Career Outcomes
Advance as AI Engineer in Business AI with machine learning expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. AI Business Analyst
- 4. Healthcare AI Specialist
What You'll Learn
- Apply machine learning models to real-world datasets for predictive analytics.
- Design ethical AI systems addressing bias, privacy, and societal impact.
- Leverage AI tools for business decision-making and process optimization.
- Implement AI solutions in healthcare informatics and operations.
Curriculum Highlights
The 31-credit curriculum includes five core AI courses and five track-specific electives in either Business Analytics or Health Informatics.
Top Employers
Top employers include tech firms like Google, Amazon, and Microsoft, healthcare organizations such as Mayo Clinic and UnitedHealth Group, and consulting companies like Deloitte and Accenture.
Admissions
A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with relevant quantitative background or professional experience in tech, business, or healthcare. GRE is optional; international applicants need TOEFL/IELTS scores.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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