B.Tech Big Data Analytics
Take student experience to the next level
Overview
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.
Know More
- Workshop
- Guest Lectures
- Conferences
- Faculty Development Programmes
- Webinar
- Seminars
- ThonEvents
- Value Added Programme
- Project Expo
- Industrial Visit
- Conference Publications
- Journal Publications
- Book Publications
- Funded Projects
- Patents
- Consultancy
- Research Group
- Research Scholars
Program Objectives (PO)
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Engineering knowledgeItem Link List Item 1
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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Problem analysisItem Link List Item 2
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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Design/development of solutionsItem Link List Item 3
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.
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Conduct investigations of complex problemsItem Link List Item 4
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.
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Modern tool usageItem Link
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.
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The engineer and societyItem Link
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.
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Environment and sustainabilityItem Link
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
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EthicsItem Link
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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CommunicationItem Link
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.
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Project management and financeItem Link
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.
Program Objectives (PO)
List of Services
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