Data Science

Data science research involves the systematic exploration and analysis of large and complex datasets to extract valuable insights, patterns, and trends. Researchers in this field utilize a combination of statistical methods, machine learning algorithms, and domain knowledge to uncover meaningful information from diverse data sources. The primary goals of data science research include developing predictive models, optimizing decision-making processes, and advancing our understanding of complex phenomena through data-driven approaches. This interdisciplinary field integrates expertise from statistics, computer science, and domain-specific domains to address real-world challenges and drive innovation in various industries.

INTEREST(S)

Statistical MethodsDomain KnowledgeDecision-making ProcessesData-driven Approaches

MODERATOR

DR. S. M. HASAN MAHMUD

VISION

Lead the way in data science, driving innovation across industries by developing predictive models and fostering a future where interdisciplinary expertise seamlessly combines to unravel complex phenomena through data-driven approaches.

MISSION

Pioneer data science research to systematically extract valuable insights, optimize decision-making, and advance understanding through interdisciplinary collaboration, leveraging statistical methods and machine learning algorithms.