2 Years
Post Graduate
Engineering
Full Time
Explore advanced topics in data analytics. Study data mining, machine learning, big data technologies, and more. Develop expertise in extracting insights from large datasets.
The Master of Technology (M.Tech.) in Data Analytics program is an advanced and comprehensive course designed to meet the growing demand for skilled data professionals in today's data-driven industries. In an era where data is considered the new currency, organizations across sectors rely heavily on data analytics to make informed decisions, optimize processes, and gain a competitive edge. This program provides students with a deep understanding of data analytics techniques, tools, and technologies, equipping them with the expertise to mine, interpret, and leverage data effectively.
The course curriculum covers a wide spectrum of topics, including data preprocessing, statistical analysis, machine learning, big data technologies, and data visualization. Moreover, students delve into real-world applications, exploring how data analytics can be applied to domains such as finance, healthcare, marketing, and more. With a blend of theoretical knowledge and practical skills, graduates of this program are well-prepared to embark on dynamic careers as data analysts, data scientists, business intelligence professionals, or consultants.
Here is a comprehensive overview of the syllabus and subjects covered in the Master of Technology in Data Analytics program:
| S.no | Subjects |
| 1 | Statistical Computing |
| 2 | Big Data Analytics |
| 3 | Machine Learning Technique |
| 4 | Real Time Systems |
| 5 | Next Generation Databases |
2nd Year OR 3rd & 4th Semester Syllabus of Master of Technology (M.Tech.) in Data Analytics
| S.No | Subjects |
| 1 | High-Performance Computing |
| 2 | Digital Forensics |
| 3 | Natural Language Computing |
| 4 | Data Acquisition and Productization |
| 5 | Project Work |
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