FL

Bachelor's in AI
On-Campus, Online, Hybrid

Keiser University

BS in Artificial Intelligence

  • Fort Lauderdale
About This Program

This program targets students interested in the study and deployment of AI applications, emphasizing hands-on activities with machine learning and deep learning using big data sets.

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What You'll Learn

Students learn to apply appropriate AI tools, algorithms, and ethical standards to projects. They gain proficiency in natural language processing, voice recognition, and simulated thinking patterns.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum covers core programming in Python and Java, alongside specialized modules in neural networks, non-relational data stores, cloud computing, and a final AI capstone.
Typical Course Topics
1. Machine Learning Fundamentals 2. Neural Networks and Deep Learning 3. Natural Language Processing 4. Computer Vision 5. AI Ethics and Responsible AI 6. Data Mining and Analytics
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a high school diploma or GED with a competitive GPA (3.0+). SAT/ACT scores may be required or optional depending on the institution's testing policies.
Academic Requirements (Typical)

• Degree Required: Bachelor of Science (BS)
• 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: Not typically required for undergraduate programs
• Resume: Optional
• Transcripts: Official high school 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

Enter AI 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 Architect
Top AI Employers (Industry-Wide):
Top employers in AI include Google, Microsoft, OpenAI, Meta, Tesla, Amazon, IBM, and major financial institutions and tech companies.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 116,880
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Official Resources
Program Website
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