Ph.D Computer Science and Engineering

NIT Meghalaya - National Institute of Technology

Ph.D Computer Science and Engineering

The Ph.D. program in Computer Science and Engineering at National Institute of Technology (NIT) Meghalaya is a premier doctoral degree focused on in-depth research and innovation. Students engage in cutting-edge research under the guidance of experienced faculty, contributing to the advancement of computer science and engineering. The curriculum is designed to foster critical thinking, problem-solving skills, and a strong theoretical foundation. While specific accepted exams and scores can vary based on current admission policies, candidates are generally expected to have a strong academic record in a relevant Master's degree. The total tuition fee for the Ph.D. program is highly subsidized for admitted students, with additional stipends often available for research scholars. NIT Meghalaya's Computer Science and Engineering department is recognized for its research output and faculty expertise, contributing to its standing among engineering institutions in India. Specific rankings by external agencies for the Ph.D. program are not always explicitly published, but the institute's overall reputation and faculty achievements reflect its quality.

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Course Highlights
About this Course

The Ph.D. program in Computer Science and Engineering at National Institute of Technology (NIT) Meghalaya is a premier doctoral degree focused on in-depth research and innovation. Students engage in cutting-edge research under the guidance of experienced faculty, contributing to the advancement of computer science and engineering. The curriculum is designed to foster critical thinking, problem-solving skills, and a strong theoretical foundation. While specific accepted exams and scores can vary based on current admission policies, candidates are generally expected to have a strong academic record in a relevant Master's degree. The total tuition fee for the Ph.D. program is highly subsidized for admitted students, with additional stipends often available for research scholars. NIT Meghalaya's Computer Science and Engineering department is recognized for its research output and faculty expertise, contributing to its standing among engineering institutions in India. Specific rankings by external agencies for the Ph.D. program are not always explicitly published, but the institute's overall reputation and faculty achievements reflect its quality.

Curriculum Outline
1 Semester
Breakdown of Course Fee

The fee structure for the Ph.D. program at NIT Meghalaya is generally nominal, reflecting the institute's commitment to research education. Tuition fees are often waived or significantly subsidized for admitted scholars, especially those who secure fellowships or assistantships. Hostel fees are applicable and cover accommodation and basic amenities, typically ranging from INR 10,000 to INR 20,000 per semester, depending on the room type and facilities. There might be a one-time admission fee and a refundable caution deposit, usually in the range of INR 5,000 to INR 10,000. The total out-of-pocket expense for a Ph.D. scholar, excluding living expenses, is therefore quite manageable, with many students receiving monthly stipends to support their research and living costs.

Hostel Fees

20000

60000

Hostel Security Deposit

20000

60000

Total: 45000
Exam Accepted

Eligibility Criteria

To be eligible for the Ph.D. program in Computer Science and Engineering at NIT Meghalaya, candidates must possess a Master's degree in Engineering/Technology (M.E./M.Tech.) or a related field from a recognized university or institution. A minimum aggregate score or CGPA, as per the institute's regulations (often around 60% or 6.5 CGPA), is typically required. Candidates with a Bachelor's degree in Engineering/Technology (B.E./B.Tech.) with an exceptional academic record and relevant work experience may also be considered. For candidates with a Master's degree in Science (M.Sc.) or equivalent, a strong background in Computer Science and Engineering is essential, along with a valid GATE score or equivalent qualification. Specific eligibility criteria may be updated annually by the institute.

Application Process