Master of Technology ( M.Tech ) Embedded System
Admissions for all UG courses (2023-24)
M.Tech ( Embeded )> Admissions for all UG courses (2023-24) is now open under Management. > Application process: Interested candidates can apply for UG & PG courses under Management quota by visiting the official website of the college or university or by obtaining the application form Filled the college campus. The application form must be filled with all the necessary details and submitted along with the required documents and the application
Master of Technology ( M.Tech ) Embedded System

Ellenki College of Engineering and Technology (ECET, Hyderabad)

About Course :

Ellenki College of Engineering and Technology Hyderabad offers M.Tech in Embedded Systems Technology is a two-year post-graduate programme designed for engineers working in the embedded systems industry who want a sound and practical knowledge about hardware design and writing firmware for different microcontrollers (AVR, ARM, and PIC). This course offers knowledge and skill in designing and developing embedded systems involving, microprocessors / controllers, its hardware and software, real time operating systems and FPGA and SoC, with core subjects, supported by hands-on laboratories. The elective subjects provide knowledge on application domains of IOT, wireless technologies, DSP, networking, control system implementations, & engineering aspects. The programme focuses on multi-disciplinary domains in the areas such as automotive, avionics, consumer electronics, medical devices, and processor design. One full semester of project work, with research orientation, in any of the chosen core or application domains, enhances the skills of students for both research and the work scenario. Embedded systems play a key role in electronic devices. Multinational companies like Microsoft, Google, Cisco, TCS, IBM, etc. have invested huge money in this sector and there are many start-ups too.

Graduate Courses (M.Tech)

Academic intake details 







Master of Technology ( M.Tech ) Embeded System

Full Time

2 Years



Vision: To be a leading academic institution in the field of Embedded Systems, producing graduates who are equipped with the knowledge, skills, and attitudes required to excel in the industry, academia, and research.

  • To provide a comprehensive and well-balanced curriculum in Embedded Systems that prepares students for successful careers in industry, academia, and research.
  • To foster a research-oriented culture among students and faculty, promoting innovative and interdisciplinary research in Embedded Systems.
  • To establish industry collaborations and partnerships that enable students to gain hands-on experience and exposure to real-world problems and challenges.
  • To continuously enhance the quality of education and research by adopting the latest pedagogical and technological advances in the field of Embedded Systems.
  • To promote ethical and socially responsible practices in the development and deployment of Embedded Systems, considering the impact on society and the environment.


PEO-1: Pursue a thriving professional career in IT-enabled industries.

PEO 2: Pursue enduring learning in generating inventive engineering solutions using research and composite problem-solving abilities.

PEO 3: Demonstrate professionalism, principles, inter-personal skills and incessant learning to develop management qualities.



Engineering Graduates will be able to satisfy these NBA graduate attributes:

  1. Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis:Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. Design/development of solutions:Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems:Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. Modern tool usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. The engineer and society:Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and sustainability:Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.


    1. Professional Skills and Foundations of Software development:Ability to analyze, design and develop applications by adopting the dynamic nature of Software developments
    2. Applications of in the fields of Artificial Intelligence and Machine learning: Ability to use knowledge in artificial intelligence and machine learning to solve real world problems and identify the research gaps and render solutions with innovative ideas.

    solutions with innovative ideas