NE

Bachelor's in AI, Bachelor's in Cybersecurity, Certificates in AI, Master's in Cybersecurity
On-Campus

University of Nebraska at Omaha

University of Nebraska at Omaha

  • Omaha
About This Program

This multidisciplinary bachelor’s degree integrates principles from machine learning and robotics to develop software capable of performing complex human tasks.

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What You'll Learn

You will learn to design and implement AI-driven solutions while evaluating the ethical, social, and economic implications of these emerging technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes fundamental skills in Python, data analytics, machine learning algorithms, and advanced topics like large language models and computer vision.
Typical Course Topics
1. Machine Learning & Supervised Learning Algorithms 2. Deep Learning & Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Data Structures & Algorithms for AI 6. AI Ethics & Responsible AI Development
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A high school diploma or equivalent with a strong foundation in mathematics is required. Most programs prefer a GPA of 3.0 or higher and SAT/ACT scores; some institutions are test-optional.
Academic Requirements (Typical)

• Degree Required: Bachelor of Science
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• 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.

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Career Opportunities in AI

Begin Machine Learning Engineer 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/Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Systems Developer
Top AI Employers (Industry-Wide):
Top employers in AI include major technology companies like Google, Microsoft, Amazon, and IBM, as well as research institutions and organizations across healthcare, finance, and autonomous systems.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 32,160
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
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