B.Tech (Information Technology)
The B.Tech programme in Information Technology was the first program to be offered by the Department when it was established in the year 2000. It has since grown from strength to strength and is currently one of the top and most sought after disciplines at NITK Surathkal. The course currently has an average intake of 110 students per year. The programme is innovatively designed to cater to global and industry demands and offers a balanced coverage of foundation concepts and application oriented courses. Our students have consistently achieved excellent placements of nearly 100% each year and several have been accepted/are pursuing post graduate and doctoral studies at reputed National and International Universities.
Programme Educational Objectives
[PEO1] To provide students with a strong and sustainable foundation in mathematics, science and engineering fundamentals to enable them to devise competent solutions to complex hardware/software problems and also to pursue advanced research.
[PEO2] To deliver a comprehensive education spanning the breadth of Information Technology and related engineering fields to ensure that graduates have the core competency to be successful in Industry and/or excel in higher studies.
[PEO3] To train students to work as part of teams on multidisciplinary projects and in diverse professional environments to comprehend, analyze, design and create innovative solutions for real life problems, in alignment with society, global economy and emerging trends.
[PEO4] To create a learning environment which emphasizes the importance of professionalism, ethics & exceptional communication skills and also infuses a curious bent of mind in students to inspire a quest for life-long learning.
Programme Outcomes
[PO1] Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Programme Specific Objectives
[PSO1] Demonstrate the use of core Information Technology and its applications in the fields of Artificial Intelligence, Cyber-physical Systems and Data Science.
[PSO2] Inculcate the ability to design effective IT solutions to complex problems through the use of project based and experiential learning methodologies.
B.Tech (in Artificial Intelligence)
The B.Tech programme in Artificial Intelligence was duly approved by the Ministry of Education in June 2021 and will be offered by the Dept. of IT from the Academic Year 2021-22. It has been designed in conformance with the National Education Policy 2020, which stresses the need to improve the skilled workforce involving mathematics, computer science, and data science, in conjunction with multidisciplinary abilities across the sciences, social sciences, and humanities. The aim is to empower students to build intelligent machines, software or applications with state-of-the-art technology like machine learning, data analytics, and data visualisation technologies. The B.Tech(AI) degree prepares students for emerging industry requirements in different areas of AI such as data science, human-centred computing, cyber-physical systems, and robotics. The curriculum focuses on the use of coginitive inputs such as video, speech, and big data to make decisions or enhance human capabilities in inter-disciplinary environments and domains.
M.Tech (Information Technology)
The PG course in IT was introduced in 2010 as part of the Decenary celebrations of the Department of Information Technology. It is aimed at producing quality engineers/ researchers to cater to the ever increasing demand for highly trained IT professionals. Students are exposed to cutting edge technologies in emerging areas of IT with hands on experience in trend setting areas such as Information & Network Security, Distributed Computing and Human Computer Interaction.
Programme Educational Objectives
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To provide information technology (and related engineering fields) graduate students with the knowledge of cutting-edge courses and technologies to enable them to excel and become leaders in research, education, industry, and policy-making.
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To deliver comprehensive education spanning the breadth of the advanced areas of Information Technology (and related engineering fields) to ensure that the students are ready to excel in their professional responsibility, nurture research attitude, and lifelong learning with a scientific temperament.
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To develop leadership qualities by inculcating the students in curriculum-based projects, R&D projects, and diverse professional environments to comprehend, analyze and design innovative solutions for real-life problems with an ethical approach, in alignment with emerging trends, society, and ensure the maximization of global economic benefits.
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To create a multidisciplinary learning environment that emphasizes the importance of self-learning, professionalism, and exceptional communication skills and also infuses a curious bent of mind in students to inspire a quest for lifelong learning especially needed for a successful professional career in a dynamic field like IT.
M.Tech (in IT by Research)
This programme is aimed at students interested in exposure to serious research in various fields of Information Technology. It emphasizes multidisciplinary and rigorous learning and research work. Faculty members with vast research experience will be involved in the teaching and research process. Exposure to exciting and emerging technologies and active involvement of faculty members in research projects are the best features of this programme, providing students a distinctive opportunity to undertake research work and innovation. The number of seats is flexible but subject to the availability of research funding.
M.Tech (Research) Graduates
Degrees Awarded - 9 (Details)
Ongoing - 1
Ph.D (Information Technology)
The Department has been very active in research and development activities in various areas of Information Technology. The Ph.D Program in Information Technology is offered both on full-time and part-time basis.
Ph.D degrees awarded : 37 (Click here for more details)
Ph.D work in progress : 35 (28 full-time, 7 part-time) (Click here for more details)
Current research interests -
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Affective Computing
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Big Data/Cognitive Analytics
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Bio-inspired Computing
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Bio-informatics
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Cloud Computing and Intelligent Cloud Computing
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Cognitive Hearing/Speech Science
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Data Mining, Scientific/Statistical Data Mining
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Data Semantics
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Distributed Computing
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Geospatial Analytics
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Healthcare Informatics
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High Performance Computing
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Human Centered Computing
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Internet of Things (IoT) and Smart Sensing
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Multimedia and Virtual Reality
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Natural Language Processing
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QoS Aware MANETs
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Security Issues in Cloud/Information/Networks/VoIP
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Semantic Web Technologies
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Social Multimedia & Social Network Analysis
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Soft Computing
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Software Engineering
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Virtualization
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Web Services
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Wireless Sensor Networks