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This program offers a solid foundation in data management, analytical techniques, and effectively communicating research findings using contemporary machine learning approaches. It connects technical data analysis with real-world applications, recognizing that data's true value emerges only when insights can be clearly shared with decision-makers. The curriculum emphasizes developing compelling narratives from data through visualization tools and presentation strategies. In our algorithm-driven era, this program places data interpretation at its core, preparing students for what's being termed the Fourth Industrial Revolution. Industries are rapidly adopting Data Science and Visualization capabilities, and we've structured this course to deliver the mathematical, computational, and conceptual expertise required for this evolving field - with particular emphasis on translating technical findings for diverse audiences. The degree concentrates equally on visual representation techniques and advanced analytical methods that reveal data's hidden patterns. Graduates will be well-prepared for roles in financial analytics, business intelligence, data consultancy, and related fields. Combining computer science principles, coding skills, statistical analysis, logical thinking, and visualization techniques, the program develops professionals skilled in extracting meaningful insights using cutting-edge methodologies. Ethical considerations form a crucial component, with coursework addressing the responsible application of analytical power through examinations of pertinent legal, social, and moral implications. Students will also cultivate essential professional competencies including collaborative skills, effective communication, personal organization, initiative, and professional ethics. Optional Placement Year and International Experience Year opportunities are available.