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M.Tech Computer Science and Engineering (Data Science And Analytics) MIT

Duration: 2 Years

Discipline: Engineering & Technology

Previous level of Study: Bachelor Degree

Requirements: Bachelors Degree

Course Description

M.Tech. in Computer Science and Engineering with a specialization in Data Science And Analytics is a postgraduate program that equips students with skills in using big data tools and techniques for data analysis, data mining, and machine learning. This program prepares students for careers in data-driven industries where professionals need to analyze and manage vast amounts of data.
 
Studying M.Tech. in Data Science And Analytics provides a promising career path for individuals who want to specialize in this field and work with the latest tools and techniques in data analytics. Big Data Analytics is a growing field that has seen tremendous growth in the past decade, and this trend is expected to continue in the future. With the rise of big data and data-driven technologies, the demand for professionals who can work with data has never been higher.
 
The core subjects covered in the M.Tech. in Data Science And Analytics curriculum include data structures and algorithms, database systems, data mining and machine learning, big data analytics, cloud computing, and distributed systems. These subjects provide students with a strong foundation in the fundamental concepts of data analytics and teach them how to use the latest technologies and tools in the field.
 
Graduates of the M.Tech. in Data Science And Analytics program can pursue careers as data analysts, data engineers, business analysts, data scientists, and machine learning engineers in various industries such as finance, healthcare, e-commerce, and government. The average salary of professionals in this field is quite high, making it a lucrative career option.
 
In conclusion, pursuing M.Tech. in Big Data Analytics offers an exciting and promising career path for individuals who want to specialize in data analytics and work with the latest tools and technologies in the field. With a high demand for professionals in this field and a lucrative career path, it is an excellent choice for individuals interested in the data-driven industries.

Tuition fee :
$2,700.00

Registration fee:
$ 500.00

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