Reva University Yelahanka
- University
- Co - Education
- ESTD 2012
- Private University
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Master of Technology (M.Tech) Data Science
M.Tech in Data Sciences
Course
NIST Big Data Working Group defines data science as, “Data Science is the empirical synthesis of actionable knowledge from raw data through the complete data lifecycle process”.
Data science is collecting, manipulating, and analyzing of data in order to extract value from it and also predict the future. This task is done by a Data Scientist. Data Scientists analyze high volumes of data, question assumptions, discover patterns in the data, develop insights, construct narratives, and provide solutions that make sense.
Data science combines several disciplines, including statistics, data analysis, machine learning and computer science. Data Science has applications in Computer vision, Text mining, NLP, Biomedical signal processing, robotics, Autonomous vehicles, Precision agriculture, business intelligence and so on. Data Science is considered the fourth paradigm of learning after empirical, theoretical, and computational learning.
A Data Scientist needs to be an expert in Computer science and software programming, written and verbal communication, probability and statistics and business domain. Since computer systems and storage capacity have turned out to be increasingly affordable over time, numerous solutions now utilize various computer systems which are cooperating together that are not very exorbitant to scale, rather than scaling solutions by acquiring a solitary super powerful and extremely costly computing machine.
The School of Computing and Information Technology at REVA UNIVERSITY offers M. Tech., in Data Science–a postgraduate programme to create motivated, innovative, creative and thinking graduates to fill the roles of Data Scientists who can conceptualize, design, analyze and develop computer software to process and analyse big data.
In Master of Data Science program, you learn to explore data using high-level mathematics, statistics and computer science. In particular, you learn how to analyze data, visualize your results, and articulate your discoveries. You will leave the program with the ability to think about the real problems that need to be solved, not to simply find technical solutions.
The M Tech programme in Data Science 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.
Duration : 2 Years
Eligibility : B.E/B.Tech.in ECE/IT/EEE/CSE/ISE/TE/MCA/MS in Computer Science or Mathematics or Information Science or Information Technology with a minimum of 50% (45% in case of SC/ST) marks in aggregate of any recognized University/Institution or AMIE or any other qualification recognized as equivalent there to.
Career Opportunities
The students completing M Tech in Data Science will have plenty of career opportunities in several institutions, organizations and multinational companies. This broader area includes
- Business Analyst
- Business Intelligence Manager
- Database administrator
- Data_Analytics Manager
