The present & the future will be defined by data and those who will possess the knowledge, precision, and foresight to interpret it will determine the direction of industries, economies, and societies. Chandigarh University Uttar Pradesh recognizes this reality and offers a program designed not just to educate, but to transform. The two-year M.Tech. program in Computer Science and Engineering with a specialization in Data Science is strategically & thoughtfully structured to prepare future-ready professionals who will be equipped to extract actionable insights from complex & large-scale data environments. The program is rooted in academic rigor and aligned with the demands of constantly changing industry, along with this, it provides graduates a decisive edge in one of the most sought-after disciplines of the modern era. The AI integrated curriculum is carefully crafted to meet the needs of modern industries, offering students in-depth knowledge of statistical foundations, data mining, big data analytics, cloud-based data processing, & many more, along with data visualization tools such as Python, R, Tableau, Power BI & more. Core areas of study encompass Statistical Learning, Data Mining, Big Data Analytics, Deep Learning, Business Intelligence & more, which all are curated with direct input from leading academic scholars and industry professionals to make sure continued relevance and practical applicability. The program’s pedagogical framework places equal focus on theory and application, where students engage with live projects, data hackathons, and interdisciplinary research assignments built around open datasets from sectors such as healthcare, agriculture, finance, smart cities & more. Exposure to industry-standard platforms including Hadoop, Spark, and TensorFlow takes care that graduates enter the workforce with confidence, competence, and technological fluency. Research and innovation are central to the academic experience at Chandigarh University Uttar Pradesh as the program actively encourages domain-specific thesis work, research publications, and applied innovation. The final semester features a capstone project that integrates advanced technical knowledge with analytical reasoning, guided by both faculty mentors and industry professionals. This culmination of study provides a solid preparation to every graduate to enter the field, & lead within it. Dedicated Data Science Labs & advanced labs equipped with modern analytics and big data infrastructure which provide students with a world-class environment for discovery and experimentation. Complementing this, a strong industry interface brings access to meaningful internship opportunities and placement support with organizations at the forefront of data-driven transformation. This is a program for those who seek more than a qualification but for those who aspire to build the analytical frameworks that will power the next generation of global innovation.