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M.Tech Computational Engineering & Networking Admissions 2017 - 2018 Academic Year

Master of Technology in Computational Engineering & Networking


Are you a graduate in the field of technology? Do you want to study further with specialization in Computational Engineering & Networking? If yes, then you have a option to pursue Master of Technology in Computational Engineering and Networking. It is a professional post graduation course and is offered by most of the technical institutes in India.

Course Name: M.Tech Computational Engineering & Networking
Group: M.Tech
Stream: Engineering
Course Category: General
Duration: 2 Years

Introduction

M.Tech or Master of Technology is a post graduation course and the specialization of Computational Engineering and Networking is a multidisciplinary course which includes study about numerical analysis, applied mathematics, computer science and their applications in various technologies.
The course provides expertise to candidates in mathematical modeling, software implementation, numerical analysis, visualization and validation of results, algorithm development, and many more.
The course has main role in many scientific discovery processes and engineering designing. There are lots of projects available in the field related to parallel Partial Differential Equation solver, analysis platform for flow visualization and fluid dynamics, reliable truss topology optimizer, etc.

Eligibility

Candidates holding bachelors degree in the field of technology like B.E. or B.Tech are eligible for this course. The course must be pursued from some recognized institutes and should have secured at least 60% marks as an aggregate to be eligible for this course.



Colleges offering M.Tech Computational Engineering & Networking course in India

College NameUniversityState
Amrita School of EngineeringAmrita Vishwa VidyapeethamTamil Nadu
Amrita School of EngineeringAmrita Vishwa VidyapeethamKerala
PDM College Of EngineeringMaharshi Dayanand UniversityHaryana

To add a college to the above list, you must search for college and then add a course to the college.

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Admission Procedure

Interested candidates need to submit the filled application form before last date. It should be enclosed with all the other required documents. Most of reputed institutes conduct their entrance test for admissions. A national level entrance test- GATE is also considered by some institute for short listing the candidates.

Duration

The duration for this course is 2 regular years. These 2 years are divided into 2 semesters; each having 6 months long duration. The syllabus of the course is also divided into 4 parts accordingly.

Further Study options

Being a professional course, candidates get jobs very easily after completion. If someone wants to pursue higher studies, PhD is an option suitable after this course. It is a research based course and offers many good opportunities afterwards.

Course Highlights

The course starts with topics like Computational Linear Algebra for Data Sciences, Fundamentals of Image Processing, Fundamentals of Embedded Computing, Algorithms and Structures for Data Science, Computational Methods for Optimization, etc. The course also teaches about Digital Logic Design, Advanced Signal Processing and Pattern Classification, Deep Learning and Probabilistic Graphical Models, High Performance Computing for Data Science, Real Time Operating System for Embedded Computing and Scientific Computing.

Job aspects

These candidates can work in IT and computer networking based companies like Cognizant Technologies, HCL Technologies, IBM India Ltd., Infosys, WIPRO, Multicore Ware India (P) Ltd., etc. Some health care industries like Atlas Health Care Software and Thermo Fisher Scientific Inc. also hires these candidates.

M.Tech Computational Engineering & Networking Admissions for 2017 - 2018 Academic Year

Are you looking for admissions for M.Tech Computational Engineering & Networking for the academic year 2017 - 2018? We can connect you with the right colleges and universities offering M.Tech Computational Engineering & Networking courses in your preferred locations. Contact us for more details.

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