• M.Tech in BTIRT
Department of M.TECH
The M.Tech. programmes offered in various disciplines and streams by different departments of the institute are based on the credit system and provide a student with wide choice of courses. Each programme comprises of several core and elective courses and project work.
M.Tech (Computer Science & Engineering) : : : . . . Available seat : 18
Department of Computer Science and Engineering has started this PG Program in the year 2013. The program is approved by AICTE and Government of Madhya Pradesh and is affiliated to Rajeev Gandhi Technological University, Bhopal. In the current scenario of various computing devices, the importance of efficient computing with resource optimization is becoming more and more relevant. The need for advancements in architecture and integrating computer hardware, software, algorithms, data management, simulation etc., is being increasingly felt. The curriculum is aimed to give theoretical and hands on in the areas of Advances in Operating Systems, Advances in DBMS, Computer Systems Performance Analysis, Formal Models in Computer Science, Advanced Algorithms, Advances in Computer Architecture, Computer Networks, Optical Networks, Students have opportunity to work in advanced areas like Data warehouse, data mining, Cloud Computing, Big Data etc. ......
Eligibility : : : : . . .
Candidates who have acquired BE/B.Tech/AMIE or equivalent degree in Computer Science / Information Science / Electronics & Communication Engineering / Telecommunication Engineering / Electrical & Electronics Engineering by securing not less than 50% marks in aggregate are eligible. However in case of candidates belonging to SC/ST, the aggregate percent of marks in qualifying examination should not be less than 45%. The admissions are through central counseling on the basis of merit in GATE or on the Qualifying exam based (BE/B.Tech/AMIE). A few seats are also available under sponsored and Management quota. GATE qualified candidates are eligible for scholarship through AICTE.
Infrastructure : : : : . . .
The students are required to learn through hands on in various laboratories in the department, namely, Research and development lab, DLINK Lab, High performance computer Lab, Cloud computing Lab, Network simulator Lab.
Areas of Research : : : : . . .
The students will get an opportunity to participate in projects related to, but not limited to Natural Language processing, Data Mining and Business Intelligence, Image processing, Clustering, Multicore processing, High performance computing.

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