OK

Bachelor's in DS/DA
On-Campus, Online

University of Oklahoma

University of Oklahoma

  • Norman
About This Program

This program combines foundational AI principles with hands-on experience using cutting-edge tools encountered in corporate and research environments.

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What You'll Learn

Students learn to develop intelligent software solutions, understand machine learning fundamentals, and analyze the ethical and societal impacts of AI.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features machine learning, deep learning, robotics, natural language processing, large language models, and software project management.
Typical Course Topics
1. Programming and Software Development 2. Machine Learning and Deep Learning 3. Data Structures and Algorithms 4. AI Ethics and Responsible AI 5. Data Science and Analytics 6. Applied AI in Industry Domains
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission.
Academic Requirements (Typical)

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

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• 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.

Check Application Deadlines
Career Opportunities in AI

Start Data Analyst career in Cross-Industry AI with machine learning focus

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
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Specialist 3. Data Scientist 4. Applied AI Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Microsoft, Amazon, and industries applying AI in software, robotics, and data analytics.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 40,116
Format
On-Campus, Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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