M.Tech - Cloud Computing and Big Data
Affiliation : PES University | Duration : 2 Years | Eligibility : Graduation Degree in Related Branch
Selection Entrance Test : PESSAT
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The impact of Technological advancements on human life is not complete without the role of Information Technology, along all axes. Hence all-pervading nature of Information Technology is culminated with huge demand for education in the said field. The steady rise in the number of students opting to specialize in Information Technology is a testimony for that. Education in Information Technology imparts the knowledge through which the needs of users within an organizational and societal context can be met.
The M Tech in Data Engineering and Cloud Computing program covers specialized areas in the field of IT industry and research. The program focuses on technologies managing huge traditional and non-traditional data including temporal, spatial and multi-dimensional data. It also focuses on cloud computing concepts that feature subjects as well as projects that typically involve construction and experimentation with software prototypes.
The M Tech in Data Engineering and Cloud Computing program covers specialized areas in the field of IT industry and research. The program focuses on technologies managing huge traditional and non-traditional data including temporal, spatial and multi-dimensional data. It also focuses on cloud computing concepts that feature subjects as well as projects that typically involve construction and experimentation with software prototypes.
This Master’s Program is designed in consultation with industry stalwarts to prepare candidates for the most challenging technical roles in the rapidly growing area of Big Data. The program covers the areas of advanced database management and storage systems, distributed computing, machine learning, natural language processing, cloud computing and analytics. Candidates go through the structured program in Big Data Innovation Lab where they learn and apply concepts and techniques, solve complex problems and eventually make development contributions in the field of big data.
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