Welcome to the world of Computer Science with a focus on Data Science (DS). In a world where information is ceaselessly generated, your journey into Data Science is a journey into the future Computer Science with a specialization in DS is at the forefront of innovation.
Vision of CSE-DS Department
To achieve excellent standards of quality-education in Data science sector by using the latest tools, nurturing collaborative culture and disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.
Mission of Mechanical Department
M1: To develop industry conducive environment by providing state-of-art infrastructure to compete in data-driven world.
M2: To empower students to provide innovative and cognitive solutions with the help of data analytical skillset and new advancements in high performance computing.
M3: To build data intensive system through socio-economic aspect by promoting cross-disciplinary thinking that expands expertise in cutting edge technologies and acquire professional ethics.
Engineering Knowledge: Apply Reasoning informed by the contextual
knowledge to assess societal, health, safety, legal and cultural issues and the
consequent responsibilities relevant to the professional engineering practice
Problem Analysis: Identify, Formulate, review research literature and analyze complex engineering problems to arrive at substantiated conclusions using first principles of mathematics, natural and engineering sciences.
Design/Development of Solutions: Design solutions for complex engineering problems and design system components, processes to meet the specifications with consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct Investigations of Complex Problems: Use research-based knowledge including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The Engineer and Society: Apply Reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
Ethics: Apply Ethical Principles and commit to professional ethics and responsibilities and norms of the engineering practice
Individual and Team Work: Function effectively as an individual and as a member or leader in teams and in multidisciplinary Settings
Communication: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations, and give and receive clear instructions.
Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and
Apply these to one’s own work, as a member and leader in a team. Manage projects in multidisciplinary environments.
Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Educational Objectives
PEO1: Graduates will be able to showcase their attitude in solving real-time engineering problems by using cutting edge technologies.
PEO2:Graduates will have a strong foundation in data science concepts, techniques, and tools, enabling them to analise complex data sets and extract meaningful insights.
PEO3: Graduates will be able to establish a definite Caliber in various interpersonal skills to facilitate excellent expression of their ideas and knowledge.
PEO4: Graduates will demonstrate ethical and professional behavior in their data science practice, understanding the importance of privacy, security, and responsible data usage.
Program Specific Outcomes
PSO-1: Apply learned skills to excel optimized solutions in software development with expertise skills in Data Science, Data Processing and Data Analytics.
PSO-2: Exhibit proficiency in analytics for providing solutions to real world problems in Industry and Research establishments.