MTech (Advanced Computing and Data Science)
Uncover essential information on MTech in Advanced Computing and Data Science, including admissions, course details, fees, and career scope in the tech industry.
Course Overview
MTech (Advanced Computing and Data Science)
M.Tech. (Advanced Computing and Data Science) is a postgraduate degree program that focuses on advanced topics in computing and data science. It covers areas such as machine learning, artificial intelligence, data mining, big data analytics, cloud computing, and more. Students in this program typically gain a deep understanding of both theoretical concepts and practical applications in the field of computing and data science.
Advanced Computing and Data Science
Advanced Computing and Data Science refers to the interdisciplinary field that combines advanced computing techniques with data science methodologies to analyze and extract insights from large and complex datasets. This field involves utilizing high-performance computing systems, machine learning algorithms, statistical analysis, and data visualization to solve complex problems, make predictions, and drive decision-making processes across various industries.
Eligibility Criteria for MTech (Advanced Computing and Data Science) in India
Educational Qualifications: Bachelor's degree in Engineering/Technology or equivalent in a relevant field.
Minimum Marks: Typically, a minimum of 60% aggregate marks or equivalent CGPA.
Entrance Exams: Candidates may need to qualify in GATE (Graduate Aptitude Test in Engineering) or other specified entrance exams.
Merit-Based Selection: Admission may be based on the candidate's performance in the entrance exam and/or academic record.
Age Limit: There is usually no specific age limit for admission to MTech programs.
Nationality: Indian nationals or foreign nationals fulfilling specific criteria may be eligible.
Specific Requirements: Some institutions may have specific requirements such as work experience, research papers, or interviews.
Note: Eligibility criteria can vary between different institutions, so candidates should check the specific requirements of the university they are interested in.