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Big Data Analytics is a lucrative and endless cradle of business and informational insight that is eventually directed towards operational excellence in almost all industries and organizations. Harnessing big data technology would allow enterprises to exercise great profits and acquire a competitive edge by excavating voluminous data through modern architectures and technologies.
The department offers a B.Tech in CSE with a specialization in Big Data Analytics to equip students with knowledge and skills in cutting-edge technologies that are embraced by industries. The students are trained in data management, data mining, storage technologies, predictive analytics, machine learning, and deep learning to hone their skillset in big data.
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Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
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.
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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.
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
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Item Link List Item 4SRM institute of Science & Technology (SRMIST) Tiruchirappalli Campus , Deemed to be University (Formerly SRM University) SRM Nagar, Trichy-Chennai highway, Near Samayapuram Trichy - 621105, Tamilnadu , India.
1800 202 4565
Academic courses
Academic courses