Program Learning Outcomes

Upon completion of the Bachelor of Science in Artificial Intelligence, graduates will be able to:
1. **Design AI Systems**: Create and implement artificial intelligence systems for diverse applications.
2. **Machine Learning Proficiency**: Demonstrate expertise in machine learning algorithms and data analytics.
3. **Ethical AI Implementation**: Apply AI technologies considering ethical, legal, and social implications.
4. **Problem-Solving Skills**: Use AI to solve complex, real-world problems across various industries.
5. **Interdisciplinary Knowledge**: Integrate knowledge from computer science, mathematics, and cognitive science in AI development.

Pathways Available

– **Standard Pathway**: Ideal for students with a foundational background in computer science or related fields.
– **Research Pathway**: Focused on students interested in AI research and development.
– **Online Pathway**: A flexible online program catering to working professionals and international students.

Program Goals

Our program aims to:
– Provide a deep understanding of artificial intelligence and its applications.
– Prepare students for leadership roles in the fast-evolving AI industry.
– Encourage innovative thinking and research in AI technologies.

Possible Career Options

Graduates can explore various roles, such as:
– AI Research Scientist
– Machine Learning Engineer
– Robotics Engineer
– Data Scientist
– AI Application Developer

Program Curriculum and Structure

– **Year 1**: Introduction to AI, Programming Fundamentals, Linear Algebra and Calculus.
– **Year 2**: Machine Learning, Neural Networks, Statistics for AI.
– **Year 3**: Advanced AI Techniques, Ethical AI, Elective Courses (e.g., Natural Language Processing, Robotics).
– **Year 4**: Capstone Project, Industry Internship, Advanced Elective Courses.

**Learning Outcomes**:

– **Year 1**: Gain foundational knowledge in AI and programming.
– **Year 2**: Develop skills in machine learning and data analysis.
– **Year 3**: Apply AI knowledge in specialized areas and understand ethical implications.
– **Year 4**: Complete a significant AI project and gain real-world experience through internships.

Entry Requirements

– High School Diploma or equivalent.
– Minimum GPA: 3.2 (on a 4.0 scale).
– SAT/ACT scores (optional for 2023 admissions).
– Strong background in Mathematics and Science.
– Personal Statement and Letters of Recommendation.

Awards and Recognition

– **Innovative AI Education Award**: For outstanding contributions to AI education and curriculum development.
– **International AI Research Excellence Award**: Recognizing groundbreaking AI research and innovations by students or faculty.
– **Future AI Leader Award**: Awarded to students demonstrating exceptional talent and potential in AI.