IN

Certificates in AI, Master's in AI, Master's in DS/DA
Online

University of Indianapolis

University of Indianapolis

  • Indianapolis
About This Program

This master’s degree provides a comprehensive foundation in data analytics while allowing students to earn a dedicated certificate in business applications of AI.

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What You'll Learn

Students gain proficiency in analyzing quantitative and qualitative data using industry-standard tools while exploring the transformative impact of AI on organizations.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes core modules in business intelligence and analytics management, paired with specialized AI-focused courses like data mining.
Typical Course Topics
1. Data Mining and Analytics 2. Machine Learning Algorithms 3. Big Data Technologies 4. AI for Data Visualization 5. Predictive Modeling and Forecasting 6. Deep Learning Applications
Program Specializations:
Machine Learning
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a related field such as computer science, statistics, or mathematics is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. Work experience in data-related roles or programming skills is often preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Gain data analytics skills to advance as Data Scientist in Cross-Industry AI

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Analyst/Scientist: $105,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. AI Analytics Specialist 3. Business Intelligence Analyst 4. Machine Learning Engineer
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, Microsoft, and consulting companies such as Deloitte and Accenture.
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Program Details
Duration
  • 1 Year
Tuition
  • 24,900
Format
Online
Specializations
Machine Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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