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The Computer Science & Engineering (Data Science) is a rigorous program that will provide students with a foundation in those aspects of computer science, statistics, and mathematics that are relevant for analyzing and manipulating large complex datasets. Students will be exposed to both the practical use of data science methods as well as the theoretical properties underpinning the performance of the methods and algorithms. Graduates of the program will be well prepared for exciting careers in data science and will have opportunities for advanced study.
Welcome to the age of data - where a need exists for a new class of experts who can extract actionable knowledge from rich and varied datasets. Every day, huge amounts of data are generated by business, scientific, and social activity taking place all around us. With data coming from sensors, digital images, streaming video, satellite and medical imagery, and from interactions with cloud computing, data-driven approaches to decision making are being applied in areas as diverse as medicine, business, advertising, and entertainment.
Dr. M.V.P. Chandra Sekhara Rao,
Head of Department, CSE (Data Science)
Prepares the next generation practitioners to transform a world of data into a world of intelligence.
| PEO1 | Establish themselves in various technical roles by solving real world problems using core topics in Computer Science with emphasis on Data science. |
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| PEO2 | Develop professional skills that equip them for employment and for higher education in contemporary areas in Data Science. |
| PEO3 | Apply research and entrepreneurial skills augmented with a rich set of communication, teamwork and leadership skills to excel in their profession. |
| PSO1 | Ability to solve contemporary problems in Computer Science by applying Data science principles, including Machine Learning, Cloud Computing, Internet of Things and Data Analytics. |
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| PSO2 | Ability to apply technical skills learnt through professional society events, certification programs, projects and/or lab exercise to provide sustainable solutions to Computer science and Data science related to society and environment. |
| PSO3 | Ability to practice as an ethical software engineer/researcher in the evolving discipline of Computer Science by employing Data Science skills learnt through internships and collaborative projects with industry. |
| PO1 | Engineering knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
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| PO2 | Problem analysis: Identify, formulate, review 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 the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. |
| PO4 | Conduct investigations of complex problems: 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. |
| 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 understanding of the limitations. |
| PO6 | 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. |
| PO7 | 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. |
| PO8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| PO9 | Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary 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 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. |
| PO12 | Life-long learning: Recognize the need for, and have preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |