Computer & IT - Data Science - Dr. Subhash University

Computer & IT – Data Science

Introduction to course

Discover the possibilities within our M.Tech. program in Computer & IT – Data Science, where we immerse ourselves in the transformative world of data-driven solutions and advancements. Tailored for those with a passion for leveraging data to fuel innovation, this program offers a comprehensive journey into the realm of informed decision-making and strategic insights. Through an engaging curriculum, hands-on projects, and collaborations with industry pioneers, students delve into cutting-edge techniques in data analysis, interpretation, and application.

Mission

Cultivating excellence in the realm of data science, the mission of our M.Tech. (Computer & IT – Data Science) program is to equip students with the necessary skills, knowledge, and ethical foundation to excel in a data-centric world. We strive to foster a learning environment that encourages creativity, critical thinking, and collaboration, empowering students to harness the power of data for meaningful insights and impactful solutions.

Vision

Driven by innovation and excellence, our vision for the M.Tech. (Computer & IT – Data Science) program is to be at the forefront of shaping the future of data-driven solutions and technologies. We aspire to cultivate a vibrant learning community where students are empowered to explore, innovate, and lead in the dynamic field of data science. Through interdisciplinary collaboration, cutting-edge research, and industry partnerships, we aim to equip graduates with the skills and knowledge to address complex challenges and make meaningful contributions to society.

Course objective

Develop foundational knowledge in data science principles and methodologies.
Acquire proficiency in data pre-processing, analysis, and interpretation using statistical and machine learning techniques.
Master data visualization and communication to effectively convey insights.
Explore advanced topics such as deep learning, natural language processing, and big data analytics.
Apply data science techniques to real-world projects, demonstrating critical thinking and collaboration skills.

Course outcome

Proficiency in data acquisition, preprocessing, and transformation techniques for diverse data sources.
Ability to apply statistical analysis, machine learning, and data mining algorithms to extract insights and patterns from large datasets.
Competence in designing and implementing data-driven solutions for real-world problems across various domains.
Skill in developing scalable and efficient data processing pipelines using advanced tools and technologies.
Effective communication of data analysis results and findings to diverse stakeholders, alongside collaboration skills demonstrated in team-based data science projects.