The Bachelor of Science in Data Science program is designed to equip students with a comprehensive understanding of the principles and practices involved in extracting valuable insights from large and complex datasets. The curriculum encompasses core courses in mathematics, statistics, and computer science, establishing a strong foundation in the quantitative and computational skills essential for data analysis. Students delve into subjects such as machine learning, data visualization, and database management, gaining proficiency in the tools and techniques used in the field of data science. A significant aspect of the program involves practical application, with hands-on projects, data analysis tasks, and real-world case studies allowing students to apply theoretical knowledge to solve practical problems. Specialized studies may include advanced topics such as big data analytics, natural language processing, or predictive modeling, enabling students to tailor their education to specific areas of interest within the rapidly evolving field of data science. The program emphasizes the ethical considerations and responsible use of data, preparing students to navigate the complex ethical and privacy issues associated with data-driven decision-making. Courses often explore the societal implications of data science, fostering an awareness of the broader impacts on industries and communities. Internship opportunities, industry collaborations, and participation in data science competitions are often integral components of the program, providing students with real-world exposure and enhancing their analytical and problem-solving skills. Upon completion of the B.Sc. Data Science program, graduates are well-prepared for careers in data analysis, business intelligence, machine learning, and various roles within the data-driven decision-making landscape. The program not only imparts technical expertise but also fosters critical thinking and a deep understanding of the ethical dimensions of data science.