Master of Science Data Science is a post-graduate level program designed to equip students with the skills and knowledge to analyze, interpret, and leverage data in various industries. The program typically covers a range of topics, including statistical analysis, machine learning, data mining, data visualization, and big data technologies.
The primary purpose of an M.SC (DS) is to Develop Analytical Skills, Enhance Technical Proficiency, and Prepare for Industry. The curriculum of M.SC (DS) typically includes a mix of foundational courses, electives, and practical projects.
The program's blend of rigorous coursework, practical experience, and industry alignment makes it an excellent choice for those looking to advance their careers in data science and analytics.
Bachelor's degree in a related field such as Computer Science, Mathematics, Statistics,and Engineering.
- To be Empower students with advanced IT skills and knowledge to lead technological innovations, providing a comprehensive and seamless education in IT from undergraduate to master's level to encourage future tech leaders and Preparing students with data analysis and machine learning expertise.
- To be a renowned department for educating the students with essential technicality and skills of Information Technology to resolve the challenges and issues in real-world while emphasizing multi-disciplinary development leading to betterment of society.
- To offer an integrated and comprehensive IT education, developing skilled professionals capable of addressing complex technological challenges and leading future innovations.
- To provide a concrete academic base of Information Technology education so that students can develop an advanced career in IT.
- PEO1: Postgraduates will apply critical thinking and innovative approaches to solve complex problems, leveraging cutting-edge technologies and methodologies.
- PEO2: Postgraduates will cultivate an entrepreneurial and innovative mindset, empowering them to identify opportunities for technological advancements and create novel solutions that contribute to business growth and societal benefit.
- PEO3: Postgraduates will integrate knowledge from various disciplines to create comprehensive solutions, leveraging their expertise to address multifaceted challenges in technology and data science environments.
- PO1 Scholarship of Knowledge: Understand and apply the fundamental principles of mathematics, science, and knowledge of computer science for solving complex problems.
- PO2 Critical Thinking: Identify, analyze and formulate the real-world requirements in computing domain for solving problems.
- PO3 Innovation and Research: Develop aptitude for innovation and entrepreneurship by identifying contemporary research problems, analyzing data, and proposing solutions.
- PO4 Collaborative and Multidisciplinary work: Customize and fit the software solutions on society and environment.
- PO5 Project Management and Finance: Work effectively as an individual as well as a member / leader in a team.
- PO6 Scientific Communication skills: Prepare, critically assess, and present scientific work, theories, principles, and concepts through reports and research articles in academic forums.
- PO7 Independent and Reflective Learning: Design, execute and interpret the software with real time data and synthesis the information to reach suitable conclusions.
- PSO1: Utilize advanced algorithmic techniques to model computational problems and analyze, design, and develop computing systems in interdisciplinary applications.
- PSO2: Utilize software tools for real-world problem-solving and strategic thinking to drive organizational success in the IT industry.
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