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Master of Technology [M.Tech] + Ph.D. (Computer Science and Engineering)

at IIT Guwahati - Indian Institute of Technology - [IITG]

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Fees

Fees at IIT Guwahati for the Bachelor of Technology (B.Tech) in Artificial Intelligence & Data Science program are structured on a per-semester basis. The tuition fee is Rs. 100,000 per semester, while hostel fees range from Rs. 32,000 to Rs. 35,000 per semester. Additional fees, which include mess and miscellaneous expenses, bring the total semester fee to between Rs. 130,000 and Rs. 133,000. Scholarships significantly reduce costs based on parental income and category.

For those whose family income is less than Rs. 5,00,000, tuition can be reduced to Rs. 33,000 per semester, and those with income below Rs. 1,00,000 may receive a complete tuition waiver. Reserved category students have discounted or waived tuition fees. Furthermore, initial expenses include a registration fee of Rs. 500 and an entrance exam fee of Rs. 2,000. Various scholarships such as the Merit-cum-Means (MCM) Scholarship provide additional financial aid options.

Eligibility

Admission to the integrated M.Tech. plus doctoral programme in Computer Science and Engineering at IIT Guwahati requires a bachelor's degree in computer science, information technology or a closely related engineering discipline from a recognised university. Institutes typically admit candidates for this research track through a national postgraduate engineering entrance test, followed by a written test or interview conducted by the department to judge research aptitude and fit with an available supervisor, rather than marks alone. The qualifying score and the cut-off used within each reservation category are not fixed figures; the conducting body and the institute set them afresh for every admission cycle, so the current year's notification is what an applicant should rely on.

About Master of Technology [M.Tech] + Ph.D. (Computer Science and Engineering)

The integrated Master of Technology and Doctoral programme in Computer Science and Engineering at IIT Guwahati in Guwahati, Assam is designed for students who are already committed to a doctorate in computer science and want to move straight into a structured research track rather than complete a stand-alone master's degree before starting a doctorate separately. The programme typically opens with a period of advanced coursework spanning areas such as algorithms, systems, machine learning, computer networks or theoretical computer science, chosen in consultation with a research supervisor, before the student transitions into full-time doctoral research that runs through to a dissertation. Because coursework and research supervision sit inside the same department from the start, a student is attached to a research group early and can shape their coursework around the direction their eventual thesis will take, rather than choosing a supervisor only after finishing a separate master's degree elsewhere. It suits students with a strong undergraduate background in computer science or a closely related engineering discipline who are certain about pursuing a long, research-heavy career in academia, applied research labs or the research divisions of technology companies, rather than those looking for the shortest route into an industry engineering role. The breadth of computer science research groups at an institute of this kind means a student typically has a wide choice of specialisation once admitted, from systems and networks to artificial intelligence and theoretical foundations, though the exact areas available in a given year depend on which faculty are taking on new research students. Anyone weighing this route should treat it as a multi-year research commitment rather than a shorter professional degree, and should be prepared to identify a research area and a potential supervisor as part of choosing this path rather than deciding on either after enrolling. Progress through the programme is usually reviewed at set stages rather than only at the very end, with the department checking coursework performance and early research progress before a student is confirmed into the full doctoral phase, so the transition from coursework to independent research is not automatic for everyone who enrols. Because publishing in peer-reviewed venues and presenting at conferences are typically expected before submission, students should also budget time for the slower, iterative side of research writing rather than assuming the technical work alone carries the thesis. The number of seats the institute sanctions for this integrated research programme in a given year is decided by the admitting authority and divided across the reservation categories and quotas that apply to it, and the current category-wise seat matrix is the one published in that year's official admission notice, not a figure carried over from an earlier admission round. Prospective applicants should also expect the department to weigh research fit alongside academic record when offers are made, since supervisors are finalised early in the programme.

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