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Data scientists manage raw data, examine it to uncover trends, and share valuable insights to help forecast and address business challenges. This field combines mathematics, statistics, machine learning, various computer science disciplines, and tools like Python, SQL, and R. With growing recognition of big data's strategic value, both government agencies and corporations increasingly seek data science expertise. The curriculum develops technical abilities and analytical thinking for solving practical problems, covering software fundamentals for digital innovation, applied machine learning, big data analytics, business intelligence, data visualization, and real-world implementations. Students also examine ethical, security, and societal impacts of emerging data technologies while acquiring versatile skills for professional advancement. Building on diverse undergraduate backgrounds, the program delivers cutting-edge competencies, programming proficiency, research methods, and optional industry exposure to prepare graduates for this booming sector. Collaboration with AI and Machine Learning research teams is emphasized, along with internship opportunities.