The B.Sc. in Data Science combines statistics, mathematics, and computer science to analyze and interpret large datasets. Students learn programming (Python, R), data visualization, statistical inference, data mining, database management, artificial intelligence, and ethics in data handling. Training is focused on using data to solve practical problems in business, science, healthcare, and government. Graduates become data scientists, analytics consultants, and research scientists, often leading digital innovation in organizations worldwide. The degree is designed for those passionate about extracting knowledge from numbers and driving change in the digital era.
Core syllabus includes programming (Python/R), statistics, ML, data wrangling, database systems, visualization, text mining, neural networks, and ethical data use. Labs and projects focus on solving real-world prediction, optimization, and AI challenges using large and unstructured datasets. Capstones and internships in tech, healthcare, marketing, or government prepare graduates for data science or AI careers.
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