Keiser University

How this program compares

Budget-wise, $116.9K puts this bachelor's program at the 73rd percentile on cost — about 30% above the $89.8K average across 186 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

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. Most students complete it in about 4 years.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Design and implement machine learning models for classification, regression, and clustering tasks.

Estimated total tuition is $116.9K, above the $89.8K average for AI bachelor's programs in our database and in the 73rd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 50 AI-related programs we track in Florida, of which about 42% offer an online option. On price, it comes in higher than about 96% of the Florida programs in our data, where typical tuition runs near $25.9K.

Career Outcomes

Graduates of Keiser University's BS in Artificial Intelligence most often target AI Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Keiser University's BS in Artificial Intelligence generally expects a bachelor of science (bs). The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Not typically required for undergraduate programs
• Resume: Optional
• Transcripts: Official high school transcripts required

Frequently Asked Questions