M.Tech in Data Science Syllabus - National Institute of Technology Karnataka Surathkal (NITK)

  • Years 2 Years
  • Type Course Post Graduate
  • stream Engineering
  • Delivery Mode
Written By universitykart team | Last updated date Jun, 06, 2022
Delve into the program's curriculum, covering advanced data analytics, machine learning, big data technologies, and data ethics, preparing students for careers in the dynamic field of Data Science.

Syllabus and subjects in M.Tech Data Science

A Master of Technology (M.Tech) program in Data Science typically offers an advanced curriculum that combines foundational and specialized coursework in data science and related fields. The syllabus includes core courses in data analysis, machine learning, statistical modelling, and data visualization. Students also delve into advanced topics such as big data technologies, deep learning, natural language processing, and data ethics. Additionally, the program often includes courses in programming, database management, and data engineering to provide a well-rounded skill set. Practical experience is gained through hands-on projects, research, and often a mandatory thesis or dissertation. Graduates of this program are well-prepared for careers as data scientists, data analysts, machine learning engineers, or data engineers, equipped to work with large datasets, extract valuable insights, and develop data-driven solutions across various industries and sectors, meeting the increasing demand for data expertise in today's data-driven world.

S.No 1st Year Syllabus of M.Tech. in Data Science
1Data Science Programming
2Data Mining and Warehousing
3Econometrics
4Construction Economy and Finance
5Data Analytics Mathematics
6Laboratory
7Data Analytics and Graphs
9Empirical Research
10Advanced-Data Analytics
11Big Data
12Project
13Laboratory


S.No 2nd Year Syllabus of M.Tech. in Data Science
1Project
2Evaluation of project and Viva
3Seminar
4Training and Internship


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