Keiser University
BS in Artificial Intelligence
How this program compares
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Admission Snapshot
Typical admitted student: 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.
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.
Career Outcomes
Enter AI Engineer career in Cross-Industry AI with machine learning focus
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Systems Architect
What You'll Learn
- Design and implement machine learning models for classification, regression, and clustering tasks
- Develop deep learning applications using neural networks and frameworks like TensorFlow
- Apply AI techniques to real-world problems in computer vision, natural language processing, and predictive analytics
- Evaluate AI systems for ethical implications, bias, fairness, and responsible deployment
Curriculum Highlights
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.
Top Employers
Top employers in AI include Google, Microsoft, OpenAI, Meta, Tesla, Amazon, IBM, and major financial institutions and tech companies.
Admissions
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.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Not typically required for undergraduate programs
- Resume: Optional
- Transcripts: Official high school transcripts required
Academic Requirements
- Degree Required: Bachelor of Science (BS)
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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