IF YOU ARE A PASSIONATE PROBLEM SOLVER READY TO TACKLE COMPLEX REAL-WORLD ISSUES WITH THE LATEST AI TECHNOLOGIES, LOOK NO FURTHER.
The BSAIE program combines the art of machine learning algorithms with the principals of software engineering to equip future students with the capabilities of developing sophisticated AI-powered applications from conception to deployment.
This program is ideal for the problem solver who is passionate about learning bleeding-edge AI technologies to help solve complex real-world problems.
The BSAIE’s curriculum focuses on understanding AI fundamentals, machine learning algorithms, and data analysis techniques. You'll also get your hands dirty with software development, gaining practical experience in designing, implementing, and optimizing AI-powered systems. By blending AI principles with software engineering practices, you'll be ready to create innovative AI applications that shape the future of technology.
Master the basic foundations of programming principles, AI, machine learning, and data science.
Deepen your understanding of cloud platforms and scalable architecture and focus on the practical implementation of AI solutions in real-world scenarios. By the end of the program, you will have the ability to create complex, scalable AI-driven applications to include some serious project management skills.
Diversify your portfolio by working on real projects for real companies anxious to streamline their operations with the implementation of artificial intelligence
Object-oriented Programming
Machine Learning
Neural Networks
Data Structures & Algorithms for AI
Integration of AI Tools and Frameworks
Data Modeling
Understand AI and machine learning fundamentals while exploring popular frameworks
Understand modern development environments making use of integrated AI tools
Understand and interpret data using strong data analysis skills, including data preprocessing, visualization, and statistical analysis
Design and develop AI-powered intelligent software systems that integrate AI capabilities to solve real-world problems.
Use both established and emerging software development standards and best practices.
Participate in all phases of the software development life cycle.
Develop professional written and verbal communication skills.
Experience teamwork and group dynamics first-hand.
Practice effective problem-solving and decision-making skills.
Learn project management techniques for maximizing efficiency and resources.
Gain an understanding of business in the context of software development.
Software Engineer
Software Developer
Machine Learning Engineer
AI Research Scientist
Natural Language Processing (NLP) Engineer
Computer Vision Engineer
Robotics Engineer
