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Big data is widely considered a key driver in the upcoming wave of industrial IT advancements. The rapid growth of IoT networks, wireless sensors, cloud computing, mobile technologies, digital commerce, and intelligent manufacturing has led to an unprecedented surge in data generation and storage. Manufacturing databases have become enormous due to widespread adoption of operational computers and digital management systems. The expanding range of measurement techniques - from traditional sensors to advanced imaging, video capture, and indirect monitoring methods - has significantly increased the diversity, scale, and intricacy of industrial data. The Computer Informatics specialization bridges process engineering with data science, equipping students with analytical capabilities to extract insights from vast operational datasets and develop decision-making solutions for big data challenges. Two specialized courses (CHEME 6800: Computational Optimization and CHEME 6880: Industrial Big Data Analytics and Machine Learning) provide targeted training in these critical methodologies.