The B.S. in Data Science and Artificial Intelligence undergraduate program prepares students for dynamic careers at the convergence of data science, machine learning, and AI-driven decision-making. The program is structured to provide a solid foundation in data analytics while integrating cutting-edge AI methodologies, allowing students to develop the technical expertise and strategic thinking needed in today’s data-driven world.

Students will gain hands-on experience in enterprise data analytics, AI applications, and machine learning, applying advanced algorithms and software to interact with and analyze complex data sets. The curriculum emphasizes programming, cloud computing, deep learning, and business analytics, equipping students with the skills needed to earn certifications in Amazon Web Services (AWS), Microsoft Azure, and IBM AI & Data Science Professional.

Learning Goals & Objectives

• Develop a “learn-by-doing” approach to solving complex problems in data science and artificial intelligence.
• Master fundamental tools and techniques in data science, machine learning, and business analytics, including data mining, predictive modeling, AI-driven automation, neural networks, and deep learning.
• Understand the ethical implications of AI and data science, including bias, informed consent, data privacy, and the societal impact of AI-driven decision-making.
• Gain practical, hands-on experience by applying AI and data science skills in experiential projects, real-world case studies, and industry partnerships.
• Participate in internships and AI-driven research initiatives, ensuring students are job-ready with practical, in-demand skills.