B.E in Computer Science & Engineering(Data Science) with 60 intake

The intersection of CSE and Data Science offers numerous entrepreneurial opportunities. By identifying specific problems that can be solved with data-driven solutions, leveraging advanced technologies, and adopting suitable business models, entrepreneurs can create impactful businesses in this dynamic and lucrative field. Staying informed about industry trends, continuously learning, and being adaptable are key to success in this ever-evolving landscape. With the growing importance of data-driven decision-making across industries, professionals in this field are in high demand, making it a promising career path for aspiring engineers and data scientists. The field of Computer Science and Engineering (CSE) with a focus on Data Science offers diverse career opportunities. Data Scientists analyze complex data for actionable insights, while Data Engineers build and maintain the data infrastructure. Machine Learning Engineers develop algorithms for predictive and automated decision-making. Business Analysts use data to inform strategic business decisions, and Research Scientists advance methodologies and technologies in data analysis and machine learning. Each role is essential in leveraging data to drive innovation and efficiency across industries.

• PO1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
• PO2: Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
• PO3: Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
• PO4: Conduct investigations of complex: Problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
• PO5: Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an under- standing of the limitations.
• PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
• PO7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
• PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
• PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
• PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
• PO11: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to owners own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• PO12: 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.