The M.Tech program in Data Science is tailored to equip students with advanced knowledge and specialized skills in the rapidly growing field of data science. Aimed at graduates with a background in computer science, statistics, or related disciplines, this program offers a comprehensive curriculum covering a spectrum of data science principles, techniques, and applications. The core curriculum encompasses key areas such as Machine Learning, Data Mining, Big Data Analytics, Statistical Methods for Data Science, and Data Visualization. These courses are carefully structured to provide students with a solid foundation in both the theoretical understanding and practical applications of data science. The program places a strong emphasis on addressing real-world challenges in extracting meaningful insights from large and complex datasets. Practical learning is a fundamental aspect of the M.Tech in Data Science. Students engage in hands-on experiences through laboratory work, coding projects, and industry internships. State-of-the-art data science laboratories equipped with advanced analytics tools, programming languages, and big data platforms provide students with the opportunity to apply theoretical concepts to real-world data analysis scenarios. This practical exposure not only enhances technical skills but also fosters critical thinking, problem-solving abilities, and effective collaboration. Research opportunities are integrated into the program, allowing students to delve into innovative projects under the guidance of experienced faculty members. Specializations within data science, such as Natural Language Processing, Predictive Analytics, or Bioinformatics, offer students the flexibility to tailor their studies based on their interests and career goals. Research experiences contribute to the advancement of knowledge in data science and prepare students for roles in research and development, data-driven industries, or academia. The program's elective courses offer further customization, enabling students to focus on specific aspects of data science, such as deep learning, business analytics, or ethical considerations in data science. Graduates of the M.Tech in Data Science are well-prepared for diverse career opportunities in industries ranging from finance and healthcare to e-commerce and technology. The program's comprehensive curriculum, combined with practical experience and research exposure, ensures that graduates are equipped to contribute to the evolving landscape of data-driven decision-making and analytics.