Currently, the Institute offers 3 M.Tech courses for the working professionals
The programme features combination of live online classes, assignments and case-studies, online continuous assessment, virtual labs and offline end semester assessment conducted over weekends. Live recording, submission, and internal assessment will be under the in-house developed platform.
The classes, virtual lab sessions, and mid-semester exams shall be conducted in online mode. End Semester Exam, as well as Final Project Review, shall be conducted in Offline mode. The offline exam centres will be the Off-Campus centre in Trivandrum or Exam centres in Bangalore, Pune, and Allahabad/ Delhi, subject to the availability of sufficient candidates.
The time slot in which a course would be taught would be informed to students well in advance to help them in deciding electives.
IIIT Kottayam, an Institute of National Importance, provides an excellent opportunity for working professionals to pursue Masters of Technology in the market-demanding specializations.
The programme provides extensive opportunities for students to revive their research and development skills. The state-of-the-art and relevant specializations provide strong insights into the subjects. The associated thesis work enables R&D in a topic of their interest by joining research projects of the institute faculty. This exposure will help them considerably in elevating their position in the organization, and prepare them for the most lucrative of careers
Curriculum is designed as per the needs of the partnered industries and international requirements and approved by the Senate. The syllabi and curriculum are revised from time to time as per the need and technological advancement.
Online classes are conducted on all weekends and public holidays. The schedule would be informed to students well in advance to help them in deciding on electives. Course break is possible for those who go for an onsite job.
Classes are conducted by the IIIT Kottayam faculty who are world-class qualified and are engaged in research and contribute to the Indian/International society along with their wards. Industry experts are also invited for sharing their valuable experiences.
Classes, virtual lab sessions, and mid-semester exams are conducted in online mode.The pedagogy is highly interactive and incorporates expansive teaching methods and approaches. A continuous evaluation system assesses the learners over convenient and regular intervals.
The thesis (Project Work) in the final two semesters enables students to apply concepts and techniques learned during the programme. Students are encouraged to present journal or conference publications during the programme period.
Students are actively engaged in R&D activities along with IIIT faculty. Later, the programme can be extended to an integrated Ph.D. programme.
Indian Institute of Information Technology, Kottayam at Valavoor, Pala, Kerala is one among the IIITs that have been established as "Institutions of National Importance" by Ministry of Education, Govt. of India under the ambit of IIIT (PPP) Act 2017. IIIT Kottayam campus is situated at Valavoor, Pala, Kottayam - a picturous location, spread over in 53 acres of land - allotted by Govt. of Kerala in the southern part of the state commonly referred to as God's Own Country.
The Indian Institute of Information Technology Kottayam (IIIT Kottayam) introduced M Tech programme in AI & Data Science for Working Professionals in Industry/R&D/Academics. The MTech programme is a self-paced programmes of 60 credits each that can be taken over 3 to 5 years. The number of credits earned by the candidates in the MTech programs is equivalent to the number of credits needed to be earned by the students of a full-time M.Tech programme.
The curriculum covers areas that prepare you for the most lucrative careers in the space of Data Science, Data Engineering, Machine Learning and Advanced Analytics.
Classes are conducted by the IIIT Kottayam faculty who are world-class qualified and are engaged in research and contribute to the Indian/International society along with their wards.
Benefit from Case Studies, Simulations, Virtual Labs & Remote Labs that allow learners to apply concepts to simulated and real-world situations
Encourage and prepares engineers to present journal or conference publication during the programme period.
The thesis (Project Work) in the final two semester enables students to apply concepts and techniques learnt during the programme.
Course break is possible for those who go for onsite job.
The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals.
Can be extended to integrated PhD programme
A B.Tech /BE /AMIE degree in any discipline or MCA or MSc / MS degree in CS /IT / Mathematics/ Physics/Statistics with at least 60% aggregate in the degree examination
The candidate should be currently employed. Only the employment acquired after the award of the qualifying degree will be considered.
Cyber security is a fast-moving field which requires thinking quickly and strategically to ward off data breaches and network takeovers. The M.Tech program in Cyber security aims to have defensive and offensive techniques with a good balance between theoretical and practical aspects.
A perfectly balanced curriculum with emphasis on cyber security and related topics.
Vibrant Faculty Community with Research and Industry Experience.
Inhouse developed virtual platform for online live classes, virtual & remote labs
The project work in last two semesters will help the candidate to apply the concepts to current problems.
Prepares the candidate for presenting their work in conference or as a journal publication.
Course break is possible and the duration of the program is flexible up to 5 years..
Academic calendar with all exam dates and assessment dates will be shared prior to the start of each academic year so that the candidate can plan their studies, work and travel accordingly.
The program can be extended to integrated PhD programme
A B.Tech /BE /AMIE degree in any discipline or MCA or MSc / MS degree in CS /IT / Mathematics/ Physics/Statistics with at least 60% aggregate in the degree examination
The candidate should be currently employed. Only the employment acquired after the award of the qualifying degree will be considered.
The curriculum covers big data analytics with a focus on machine learning. Special emphasis is given to the emerging ML technologies which enable decision-making, modelling, classification and prediction based on business intelligence. The students will be enabled to build big data solutions by participating in course project and related activities. The career prospects of students span from Data Science/ Data Engineering to Advanced Analytics.
A perfectly balanced curriculum with emphasis on Big Data, Machine Learning and related topics
Vibrant Faculty Community with Research and Industry Experience.
Inhouse developed virtual platform for online live classes, virtual & remote labs.
The project work in last two semesters will help the candidate to apply the concepts to current problems.
Prepares the candidate for presenting their work in conference or as a journal publication.
Course break is possible and the duration of the program is flexible up to 5 years..
Academic calendar with all exam dates and assessment dates will be shared prior to the start of each academic year so that the candidate can plan their studies, work and travel accordingly.
The program can be extended to integrated PhD programme
A B.Tech /BE /AMIE degree in any discipline or MCA or MSc / MS degree in CS /IT / Mathematics/ Physics/Statistics with at least 60% aggregate in the degree examination
The candidate should be currently employed. Only the employment acquired after the award of the qualifying degree will be considered.
