M.TECH IN COMPUTER SCIENCE AND ENGINEERING

School of Computer Science and Engineering

M.TECH IN COMPUTER SCIENCE AND ENGINEERING

School of Computer Science and Engineering

CONNECTED SYSTEMS AND INTELLIGENCE

ARTIFICIAL INTELLIGENCE

CYBER SECURITY ENGINEERING

  • PROGRAMME OVERVIEW
  • ELIGIBILITY
  • SELECTION PROCESS
  • CAREER PROSPECTS
  • FEE STRUCTURE
  • SCHOLARSHIPS
  • CURRICULUM

SEATS : 90 (nos)

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.

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.

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

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. Rounding off of marks is not allowed. 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 Digital University Kerala. Candidates belonging to SC/ST and Persons with Disability 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.

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
  • APPLICATION FEE : RS.750/-(GENERAL) & RS. 375/- (SC/ST/Divyaang)
  • The selection to all MTech and MSc programmes of Digital University Kerala will be through a common admission process.
  • Prospective students will have to either (i) clear the Digital University Aptitude Test (DUAT) Or (ii) possess a valid GATE/NET score in a relevant discipline.
  • For MTech programs preference will be given to the GATE qualified candidates.
  • The cut off for the DUAT score for shortlisting is decided by the individual Schools on yearly basis and can vary from one school to another.
  • Their cut off for the GATE score for shortlisting is decided by the individual Schools on yearly basis.
  • The short-listed students will be interviewed and provisionally selected based on their cumulative performance in the interview and the qualifying test scores. The weightage for the qualification score and interview shall be defined by the individual Schools based on the needs of the programme.
  • Separate rank lists shall be drawn up for reserved seats.
  • The short-listed students will be provisionally selected based on their DUAT/GATE test scores.

CONNECTED SYSTEMS AND INTELLIGENCE : Research Engineer, Doctoral Studies, Software Engineer, Network Engineer, IoT Architect, Information Security Analyst, Consultant, Data Analyst.

ARTIFICIAL INTELLIGENCE :

CYBER SECURITY ENGINEERING : 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.

Fee Structure: 2021-2023 (Amount in INR)

MTech Regular and MSc-Regular & Flexible

Particulars

First Year

Second Year

First Semester

Second

Semester

Third Semester

Fourth Semester

Tuition fee

55,000

50,000

50,000

50,000

Caution deposit

5,000

TOTAL

60,000

50,000

50,000

50,000

Hostel and Mess Fee (Applicable for hostellers)

Caution deposit for Hostel

10,000

***Hostel Fee

18,000

18,000

18,000

18,000

****Mess Fee

4,500 per Month

4,500 per Month

4,500 per Month

4,500 per Month

****Mess Fee: Mess charges will be based on actual and will be around Rs.4,000- 4,500/month.***Hostel Fee: Rs. 18,000/semester/student for double occupancy

Note:

  1. Hostel and mess fee will be charged only after students physically arrive in the campus and get admitted to the hostel. No fee will be charged in case classes are forced to be conducted online due to COVID-19
  • Merit Cum Means Scholarship (except that of Flexible and Executive Masters Programs)-20% of the BPL category students eligible for MCM Scholarship from the university.
  • The value of the scholarship shall be equivalent to 50% of their Tuition Fee for all semesters-The eligibility shall be based on the annual income of the parent and the merits of the students.
  • Opportunities for paid internships in real-life projects undertaken by the University will be available to a few top performing students from the 3rd semester onwards

ADMISSION HELPDESK

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

IMPORTANT DATES

  • Deadline for submission of applications: 28th May  2022
  • Date of DUAT examination: 5th June 2022
  • Announcement of DUAT results: 16th June 2022
  • Admission counselling/ interview: 20th June to 30th June 2022
  • Date of  publication of final selection list: 2nd July 2022
  • Commencement of classes : 3rd August 2022

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