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Bachelor's Degree Artificial Intelligence Full Time

AI and Logic and Ontology

at University at Buffalo · Buffalo, New York

Duration

Tuition

On request

Intake

Mode

Full Time

About this program

The Bachelor's Degree in Artificial Intelligence at the University at Buffalo focuses on the integration of AI technologies with logical reasoning and ontological frameworks. This program prepares students to explore the theoretical and practical aspects of AI, including machine learning, natural language processing, and automated reasoning. Students will gain a robust understanding of how to design intelligent systems that can reason and make decisions based on complex data.

The curriculum typically includes courses in computer science, mathematics, cognitive science, and philosophy, fostering a broad understanding of both the technical and philosophical underpinnings of AI. Students will engage in hands-on projects and collaborative research, equipping them with the tools to tackle real-world challenges in various domains.

By studying AI in the US, students benefit from a leading edge in technology and access to innovative research facilities. They will learn from industry experts and engage in networking opportunities that can lead to exciting career paths in a rapidly growing field.

Entry requirements

Typical academic prerequisites for admission to the Bachelor’s program include a high school diploma or equivalent, with strong foundations in mathematics and science. Advanced coursework in computer science or related fields is beneficial.

English:

Students are generally required to demonstrate proficiency in English, often through standardized tests such as TOEFL or IELTS, with scores that reflect the university's guidelines for successful academic performance.

International students:

International students must obtain an F-1 visa and provide necessary documentation such as the I-20 form and comply with SEVIS regulations to enroll in the program.

Career outcomes

  • AI Researcher
  • Data Scientist
  • Machine Learning Engineer
  • Software Developer
  • Systems Analyst
  • Consultant
  • AI Ethics Specialist

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