Bachelor of Science in Artificial Intelligence

Overview

This program provides a strong foundation in the principles and applications of artificial intelligence (AI). Students begin with courses in programming, algorithms, and data structures, followed by an in-depth study of machine learning, natural language processing, and computer vision. The curriculum emphasizes AI-driven problem-solving, using tools like Python, TensorFlow, and PyTorch, and explores the integration of AI into real-world systems. Advanced topics include ethical AI, robotics, and autonomous systems, ensuring students understand the implications of AI in society. A capstone project challenges students to design and implement an AI-based solution for a practical problem, showcasing their technical and creative skills.

Professional opportunities:

Graduates of the Bachelor of Science in Artificial Intelligence are equipped to excel in a variety of AI-focused roles across industries. Career opportunities include:

  • AI Engineer: Design and deploy AI algorithms and systems to solve real-world problems.
  • Machine Learning Engineer: Build and optimize machine learning models for predictive analytics and decision-making.
  • Data Scientist: Analyze large datasets using AI tools to derive insights and support strategic goals.
  • Computer Vision Specialist: Develop systems for image recognition, object detection, and visual data analysis.
  • Natural Language Processing (NLP) Specialist: Create AI solutions for language translation, chatbots, and text analysis.
  • Robotics Engineer: Design intelligent robots and autonomous systems for industrial, healthcare, or consumer applications.
  • AI Consultant: Advise organizations on implementing AI technologies to improve efficiency and innovation.
  • Ethics and Compliance Specialist: Ensure AI systems adhere to ethical guidelines and legal regulations.

This program equips students with the skills to lead in the rapidly evolving field of AI, making them valuable contributors to industries such as technology, healthcare, finance, and autonomous systems. Graduates are also well-prepared for advanced studies or certifications in AI and related fields.

The program curriculum consists of 32 courses (124 credits) and is designed to be completed in 4 years as a full-time student. However, the University provides students with the flexibility to progress at their own pace.

The recommended course sequence from the University

1

2

3

4

Total Courses Total Credits

32                                                                                                                                                

128 Credits