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M.Tech Data Mining

Master of Technology in Data Mining

Want to enhance your skills in computers? Want to develop new products in software? Learn about the course M.Tech Data Mining that suits you for your career. Know more about the course details, eligibility criteria, admission process, job prospects and the list of colleges and universities that offers this course in India.

Course Name: M.Tech Data Mining
Group: M.Tech
Stream: Engineering
Course Category: Computer
Duration: 2 Years

Course Description of M.Tech Data Mining
M.Tech is a post graduate degree program. The course provides hands on experience, live study based approaches for skilled professionals in data mining. The program is interdisciplinary with varied domains such as statistics, computer science, mathematics combined with finance, marketing, e-commerce etc. The course is designed to meet the growing demands in the market for transforming data for usage of information in the relevant areas. Students get access to use tools for structuring data, build and sustain long term competitive spirit in the computing areas.Training exposes students to use data analysis reporting and understanding the functions of data mining.

Eligibility Criteria for the M.Tech Data Mining

The candidates who have completed B.E/B.Tech in computer science/ electronic/communication engineering or M.Sc in electronics/communication Science or MCA in computer science/engineering/electronics and communication from recognized universities are eligible for the course. Admission is through entrance test and interview.

M.Tech Data Mining 2019 - 2020 Admissions/Application Enquiry


M.Tech Data Mining - Colleges & Admission Notifications

Find the list of colleges offering M.Tech Data Mining course. Check out individual college websites to know more about the admission for 2019 - 2020 academic year. You may download the application form and course details from the official college website.

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Addition Description of the course M.Tech Data Mining

The course M.Tech in Data Mining is designed to impart knowledge to students in various linear and nonlinear data structures. The program emphasis on implementation of data structures and analyse their efficiency. Students learn about designing algorithms to solve problems. The course focus on learning, and understanding various graph processing algorithms and design techniques. Students have to undertake research that is socially relevant and research oriented. They should carry out research independently and help in development of a new product that benefits the society. The course prepares students to excel in research and make a career in information technology field. Students would be provide with theoretical knowledge and practical on computing, communication and information technologies to become successful professional.

Training would be provided for students to comprehend, design and innovative software products to be applied in real life situations. The program trains students to build themselves with ethical, effective communication skills and enhance their leadership qualities. The course is multidisciplinary and helps students to equip with transferable knowledge of information technology in the relevant fields. Excellent academic environment is provided for students to become life long learners. The course study includes algorithms, and its complexities, network security, advanced database management, design lab bio-information, soft computing, multimedia, image processing, wireless computing cryptography etc.

Job Prospects for M.Tech in Data Mining Graduates

The job profiles includes data analysts, business consultant, data engineer, analyst associate, software engineer, analyst specialist, data scientist, business analyst, analyst architect

M.Tech Data Mining Admissions for 2019 - 2020 Academic Year

Are you looking for admissions for M.Tech Data Mining for the academic year 2019 - 2020? We can connect you with the right colleges and universities offering M.Tech Data Mining courses in your preferred locations. Contact us for more details.

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