The Digital University of Kerala has commenced application process for M.Tech programs in the academic year 2021-2022. Select your school of choice to learn more about the courses.




Smart connected devices that are aware of context and location will rule the digitally connected world in the future, with cognitive decision making enabled by intelligent data analytics. The synergy created by combining artificial intelligence, big data analytics, the Internet of Things, cloud/edge computing and other related technologies contributes significantly to realize the automated interaction of real-world physical systems. The International Data Corporation predicts 41.6 billion connected IoT devices will generate 79.4 zettabytes of data in 2025. Future smart systems rely on data intelligence tools and techniques for finding hidden patterns, unknown correlations, and useful information buried in massive amounts of data.

The Internet of Things is an exciting and rapidly growing field in both industry and academia. IoT has transformed the world of computing with connected devices sensing the environment and taking intelligent decisions at right time based on the analytics from the sensed data. Graduates of this masters programme are expected to develop novel solutions for intelligent and resilient networked systems and contribute to the design of stable digitally connected ecosystems involving distributed systems, computer vision, ubiquitous computing, machine learning, data science, and security services. Students will have access to our state-of-the-art facilities, which include a variety of professionally equipped laboratories and on-campus IoT communication infrastructure. Each student will be able to critically evaluate existing and emerging IoT technologies, as well as apply knowledge, understanding, analytical, and design skills to design and develop projects. The skills developed from this programme are in high demand in the industry, particularly in the key verticals of Smart Cities, Smart Industries, Connected Health, and Smart Homes. The course also serves as a springboard for further research studies.

Opportunities after graduation: Research Engineer, Doctoral Studies, Software Engineer, Network Engineer, IoT Architect, Information Security Analyst, Consultant, Data Analyst.

The annual growth rate  of artificial intelligence (AI) is predicted to be 33.2% between 2020 and 2027. The market growth of AI is hampered due to lack in the number of experienced and trained professionals. This programme would transform and strengthen the industries across the globe. It focuses on intelligence exhibited by the machines and is a hybrid intelligence, where AI systems and humans work together. The curriculum offers an opportunity to approach AI from a technical perspective that focuses on the understanding, analysis and development of novel AI algorithms as well as social and human perspectives. Decision making, problem solving, perception, understanding human communication (in any language, and translate among them) for the computers would be the key elements taught in this programme. This programme provides the foundation and advanced skills in the principles and technologies that underlie AI including logic, knowledge representation, probabilistic models, and machine learning.  Students can pursue topics in depth, with courses available in areas such as robotics, vision, and natural language processing.


Cyber Security entails the procedure of defending electronic devices, systems, networks and data from any type of malicious attacks. While living in a futuristic society, surrounded by gadgets embedded with data the role of cyber security personnel becomes even more critical. The exponential growth of cyber-attacks needs more and more cyber experts. Demand in the cyber security job market is soaring while supply is running critically low. There aren’t enough qualified and skilled cyber security professionals to fill the growing need. Cyber security engineers, identify threats and vulnerabilities in systems and software, and then apply their skills to develop and implement high-tech solutions to defend against various cyber attacks.

As cyber attacks grow in volume and complexity, artificial intelligence (AI) is becoming increasingly indispensable to manage cyber threats. At the same time, the adoption of AI techniques for cyber-attacks is also on the rise. AI thus has become an indispensable tool to manage cyber security risks, technical challenges,  resource constraints and to improve systems’ robustness and resilience. The Master of Technology in Computer Science & Engineering with Specialization Cyber Security Engineering degree focuses on the fundamentals of developing, engineering, and implementing AI based secure systems. The students will receive grounding in the fundamentals of cyber security and AI and they will carry out research projects at the interface of the two. During the first semester, the programme focuses on fundamental courses in computer science, cyber security and artificial intelligence. During the second semester, the students will strengthen their knowledge in advanced fields of cyber security and artificial intelligence through courses focusing on recent application of cyber security and AI in computer engineering, the use of AI techniques in cyber security and the safety and security of applications incorporating AI. This unique M.Tech program provides students with a sound understanding of both disciplines. It puts considerable emphasis on their intersection. The graduates of this programme can get hired as Research Scientist, Principal Cryptographer, Cryptography Engineer, Cyber Security Architect, Security Analyst, Security Consultant, Chief Information Security Officer, Security Auditor  etc. Further, graduates of this programme will be able to pursue Ph.D research or a research career on the interplay between cyber security, AI and other computing disciplines.


SEATS : AICTE approved intake- 90 (nos)


B.Tech/BE in Computer Science/Information Technology/Electronics & Communication Engg/Instrumentation Engg/Electrical Engg  or related areas/MCA/M.Sc in CS/IT/Mathematics/ Statistics/Physics

The candidate should have a valid Score in GATE* or qualified in the Digital University Admission Test(DUAT)

*Valid GATE Score in the following branches are accepted:

  • Computer Science and Information Technology
  • Electronics and Communication Engineering
  • Instrumentation Engineering
  • Electrical Engineering
  • Statistics
  • Mathematics
  • Physics




By AI hardware, we refer to the development of some form of AI accelerators and AI real-time systems for intelligent devices, Intelligent IOT, intelligent sensor, and robotics. It is a class of microchips, ASIC’s or reconfigurable electronics that enabled faster processing of AI applications such as in machine learning, neural networks and computer vision. The AI hardware program involves exploration of new devices, architectures and algorithms to improve processing efficiency as well as enable the transition from Narrow AI to Broad AI.  Approximate computing, in-memory computing, machine intelligence and quantum computing are all part of the computing approaches explored in this program of study for future research and industry career.  The students get opportunities to work on industry relevant problems throughout the program, and will be at par or above industry standards. The course offers career opportunities in a wide range of domains from IT to Semiconductor Industry.

By Signal Processing and Automation, we refer to the modern application of signal processing in Cyber-Physical Systems, Intelligent Systems, Robotics, Intelligent IOT, and Industrial Automation 4.0. The area of focus involves (1) developing energy efficient solutions based on the theory of signal processing, (2) addressing practical implementation issues of signal processing, (3) the use of digital signal processors and FPGA for real-time systems, (4) develop intelligent machine vision and audio processing system that can be deployed in industrial settings, and (5) specific applications in automotive and multimedia industry. Students receive training to develop new signal processing algorithms and evaluate the performance in terms of speed and accuracy. Students achieve industry experience by learning to test their algorithms in realistic conditions by implementing them in DSP firmware. The students get opportunities to work on industry relevant problems throughout the program, and will be at par or above industry standards. The course offers career opportunities in a wide range of domains from IT to Semiconductor Industry.

SEATS : AICTE approved intake- 60 (nos)


B.Tech or BE in EE/ECE/AEI/EI/Robotics/IoT or similar electronics hardware branches. MSc Electronics/Instrumentation or equivalent with 60% marks in graduation. CS/CSE/IT or similar computing focused branches are not eligible.

GATE (Electronics and communication, Electrical Engineering, Instrumentation, Physics) or Digital University Admission Test (DUAT) in subject specific to EE/IN/ECE/BME. GATE Physics are eligible for MTech Electronics (Artificial Intelligence Hardware).

Entry-level requirement is a minimum score of 60 percentage marks OR CPI/CGPA of 6.5 or above in 10 points in the qualifying degree. A candidate with CGPA less than 6.5 will also be eligible if the equivalent percentage for graduation is above 60% as per the respective university norms for conversion from CGPA to percentage. In such a case, the candidate will have to produce the official document or percentage equivalence certificate from the respective university showing CGPA to percentage conversion norms, at the time of admission. Students who have scored less than 60% in their graduation degree are not eligible for admission to the courses of DUK. Candidates belonging to SC/ST and Divyangjan categories are eligible for applying if they have minimum pass marks in the qualifying examination. SEBC candidates of Kerala State who are certified as belonging to non-creamy layer are eligible for 5% relaxation in the minimum required marks for qualifying examination, provided that the candidates have passed the examination.

Candidates who have appeared or are appearing for the final year/semester examination may also apply for the PG Programs provided that they satisfy the following two conditions

  • Condition 1 ‐ That they have appeared/ are appearing for the final year/semester exam in full and for the first time
  • Condition 2 ‐ That they have passed all examinations prior to the final year /semester.

In other words, applicants to undergraduate programmes who are appearing for compartmental/improvement/supplementary examinations are not eligible for this privilege.

Selected students for the PG programs are expected to submit all the original documents of marklists, degree/provisional degree certificates, migration certificate,etc. by 31st January 2022. In case any of the candidates fail to submit the original certificates as proof of their eligibility by this date, the University may be forced to ask the students to discontinue the course.


  • Online application will be open on:  25th July 2021
  • Deadline for submission of applications: August 28, 2021
  • Date of DUAT examination: September 05, 2021 (Sunday)
  • Announcement of DUAT results: September 14, 2021
  • Dates of admission interview: September 13-18, 2021
  • Announcement of admission results: September 21, 2021
  • Commencement of classes: October 6, 2021


Mob No. 8078193800
Landline: +91-471-2788019
Email : admission-pg@duk.ac.in