BSC ARTIFICIAL INTELLIGENCE AND DATA SCIENCE Course Details
B.Sc. in Artificial Intelligence (AI) and Data Science is a hands-on undergraduate program blending computer science, math, and stats to teach students how to collect, analyze, and interpret complex data, plus build intelligent systems using machine learning, deep learning, and algorithms to solve real-world problems in industries like finance, healthcare, and tech. The curriculum starts with fundamentals (programming, math) and progresses to specialized topics like predictive modeling, big data, and ethics, culminating in practical projects and internships to develop industry-ready skills for roles such as Data Analyst, ML EngineerAnalyst, ML Engineer
Scope of the project
B.Sc. in Artificial Intelligence (AI) and Data Science is a hands-on undergraduate program blending computer science, math, and stats to teach students how to collect, analyze, and interpret complex data, plus build intelligent systems using machine learning, deep learning, and algorithms to solve real-world problems in industries like finance, healthcare, and tech. The curriculum starts with fundamentals (programming, math) and progresses to specialized topics like predictive modeling, big data, and ethics, culminating in practical projects and internships to develop industry-ready skills for roles such as Data Analyst, ML EngineerAnalyst, ML Engineer
Job Sector
- Technology & IT Consultancies: Tech giants and consulting firms constantly hire AI and data science talent to develop new products and provide business solutions.
- Finance & Insurance (BFSI): AI is used for fraud detection, algorithmic trading, risk assessment, and personalized customer service automation.
- Healthcare & Biotechnology: Applications include medical imaging analysis, disease prediction, personalized medicine, and drug discovery.
- E-commerce & Retail: Used for inventory management, personalized product recommendations, and analyzing customer behavior.
- Automotive & Transportation: Opportunities in developing autonomous vehicles, predictive maintenance, and optimizing supply chains.
- Manufacturing: Focuses on automation, quality control, and predictive maintenance of machines.
Job Role
- Technology (IT)
- Healthcare
- Finance & Banking
- Retail & E-commerce
- Manufacturing
Instructors
Jhon Pedrocas
Professor
