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Master of Technology [M.Tech] (Neural Networks) - Course Overview




    2 YEARS


    Information Technology


    Post Graduation

Updated On - January 25th 2019

M.Tech in Neural Networks Colleges, Syllabus and Jobs

Neural Networks refers to a network or circuit of biological neurons. The modern usage of this term signifies the artificial neural networks composed of artificial neurons or nodes. These networks can be used for predictive modelling, adaptive control, applications and learning systems.

Students enrolled to the course are taught about artificial neural networks and how they are used for machine learning as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. It emphasis on the basic algorithms and the practical tricks needed to get them to work well.

The average course fees in India ranges between INR 30,000 and 5 lacs. The average annual salary offered to successful postgraduates of the course lies between INR 3 and 10 lacs.

M.Tech in Neural Networks: Course Highlights

Listed below are some of the major highlights of the course

Course LevelPost Graduate
Duration2 years
Examination TypeSemester System
EligibilityGraduate from a recognized university
Admission ProcessCounselling after taking entrance examination
Course FeeINR 30,000 to 5,00,000
Average Starting SalaryINR 3 to 10 lacs
Top Recruiting Fields/AreasMedicine, Software Developmen, Research

M.Tech in Neural Networks: What is it About?

Artificial Neural Networks (ANNs) or Connectionist Systems are a computational model used in machine learning, computer science and other research disciplines. Itis a program based on a large collection of connected simple units called artificial neurons, loosely analogous to axons in a biological brain. Connections between neurons carry an activation signal of varying strength.

Such systems can be trained and applied in areas where solution or feature detection is difficult to express in a traditional computer program. Like other machine learning methods, neural networks have been used to solve a wide variety of tasks, like computer vision and speech recognition, that are difficult to solve using ordinary rule-based programming.

The course explores on an advanced level, the organization of synaptic connectivity as the basis of neural computation and learning. Perceptron and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation, are covered. Additional topics include back propagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.

Top Institutes Offering M.Tech in Neural Networks

Listed below are some of the top institutes offering the course in the country with the corresponding locations and fees charged by them

NameCityAverage Fees in INR
Indian Institute of Science, [IISc.] BangaloreBangalore27,400
Indian Institute of Technology, [IIT] DelhiDelhi1,10,000
Indian Institute of Technology, [IIT] KharagpurKharagpur1,20,000
Indian Institute of Technology, [IIT] KanpurKanpur66,368
Indian Institute of Technology, [IIT] GuwahatiGuwahati1,03,000
Birla Institute of Technology and Science, [BITS] PilaniPilani5,34,714

Eligibility for M.Tech in Neural Networks

Applicants wishing to pursue the course need to fulfill the following minimum requirements of eligibility.

  • Higher & Senior Secondary qualification with a minimum aggregate score of Minimum 60%.
  • B.Tech./ BE (IT/CSE/EEE/ECE /Instrumentation & Control) with a minimum aggregate score of Minimum 60%.
ME/M.TECH Colleges In Uttar PradeshME/M.TECH Colleges In KarnatakaME/M.TECH Colleges In TelanganaME/M.TECH Colleges In Rajasthan

    M.Tech in Neural Networks: Who Should opt?

    The program is ideally suited for candidates interested and proficient in technology, research and development. Ideal students would possess essential technical and practical knowledge for solving real-world problems in the Neural Networks domain.

    They would be able to use modern technologies and tools, have competent analytical, logical and problem- solving skills, be able to bridge the digital gap between urban and rural developments.

    Such candidates would possess social and ethical attributes, and effective communication, both oral and written.

    M.Tech in Neural Networks: Admission Process

    Admission to the program is based on the candidate’s score in GATE. Graduate Aptitude Test in Engineering (GATE) is an All- India examination that primarily tests the candidate’s comprehensive understanding of Engineering and Technology- related subjects. Qualifying candidates are needed to go through a round of counseling, based on which, admission to the course is granted.

    For appearing in GATE, following are the eligibility criteria that need to be met:

    • Bachelor’s degree in Engineering/ Technology/ Architecture (4 years after 10+2/ Post-B.Sc./ Post-Diploma).
    • Qualification of any of UPSC/ AICTE, as equivalent to B.E./ B.Tech.

    M.Tech in Neural Networks: Career Prospects

    Some of the popular avenues open to such postgraduates are listed below with the corresponding salaries offered for the respective positions.

    Annual Salary in Neural Networks

    Job PositionJob DescriptionAverage Annual Salary in INR
    Research EngineerResearch Engineers generally work in an office or laboratory analyzing processes and conducting experiments. Additionally, these professionals may take on consulting roles and suggest improvements or provide recommendations during the research and development (R&D) process.10,00,000
    Data AnalyticsData Analysts translate numbers into plain English. Every business collects data, whether it's sales figures, market research, logistics, or transportation costs. A Data Analyst's job is to take that data and use it to help companies make better business decisions.3,49,284
    Data ScientistData Scientists typically create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems, and perform statistical analyses.6,20,244
    Computer Vision Research EngineerComputer Vision Research Engineer carry out signal processing, sensor design, control systems, machine learning, computer vision, video and image processing, social media processing, navigation and tracking, data analytics, systems analysis and software engineering.6,29,215

      M.Tech in Neural Networks: Syllabus and Course Description

      A semester- wise breakup of the course’s syllabus is tabulated below

      Semester 1

      Algorithms and Algorithmic Complexity
      Cryptography and Network Security
      Advanced Database Management Systems
      * Elective-I: (Any one)
      Distributed Systems
      Soft Computing
      Multimedia System

      Semester 2

      VLSI Design
      Image processing
      Embedded Systems
      Systems Design Lab
      Elective-II: (Any one)
      Real-time Systems
      Advanced Software Engineering
      Cluster and Grid Computing
      Natural Language Processing

      Semester 3

      Project I
      General Viva Voce

      Semester 4

      Project II



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