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Courses at ShikshaSphere

MTech (Data Sciences)

Boost career in data science and research MTech Data Sciences Learn about colleges universities fees salary package and ranking.

Course Overview

MTech (Data Sciences)

MTech (Data Sciences)

MTech in Data Sciences is a postgraduate program that focuses on advanced topics in data analysis, machine learning, data mining, and big data technologies. It equips students with the skills and knowledge needed to work with large datasets, extract valuable insights, and make data-driven decisions.


Data Sciences

Data Sciences is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines expertise from various domains such as statistics, computer science, mathematics, and domain knowledge to analyze and interpret complex data sets.

Eligibility Criteria for MTech (Data Sciences) in India

  • Educational Qualifications: Candidates must have a Bachelor's degree in a relevant field such as Computer Science, Information Technology, Mathematics, Statistics, or related disciplines.

  • Minimum Marks: Typically, candidates are required to have a minimum aggregate score of 60% or equivalent CGPA in their qualifying degree.

  • Entrance Exams: Admission to MTech Data Sciences programs in India is usually based on performance in national-level entrance exams like GATE (Graduate Aptitude Test in Engineering) or specific university-conducted exams.

  • Merit-Based Selection: Some institutions may also consider the candidate's academic record and relevant work experience for merit-based selection.

  • Age Limit: There is usually no specific age limit for applying to MTech programs in India.

  • Nationality: Indian as well as foreign nationals may be eligible to apply, depending on the institution's policies.

  • Specific Requirements: Some universities may require candidates to have a background in programming languages, statistics, or related subjects. Work experience in relevant fields may also be preferred by some institutions.

  • Note: It is advisable for candidates to check the specific eligibility criteria of the institutions they are interested in applying to, as requirements may vary.

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