M. Tech. in Computer Science & Engineering

• Hone the skill of computer science professionals in areas of research and innovation.
• Develop experts with high professional competence in recent and futuristic technologies.
• Create man power with technical competency in computer science to design and develop solutions for the societal problems.
• Apply knowledge acquired and become prolific professionals in industry or research.
• Pursue lifelong learning in emerging computing paradigms to provide solutions for real world problems.
• Demonstrate high regard for professionalism, integrity and respect values in diverse culture, and have a concern for society and environment

• Apply knowledge acquired and become prolific professionals in industry or research
• Pursue lifelong learning in emerging computing paradigms to provide solutions for real world problems
• Demonstrate high regard for professionalism, integrity and respect values in diverse culture, and have a concern for society and environment

• Ability to independently carry out research investigation and development work to solve practical problems
• Ability to write and present a substantial technical report/document
• Students should be able to demonstrate a degree of mastery over the area
• Ability to design and develop computing solutions using emerging computing paradigms to interdisciplinary problems following standard practices, tools and technologies
• Ability to demonstrate commitment to Professional Ethics.

• Placement and internships in core companies like Cisco, IBM, Cerner, L & T Technology, Inside View, ThermoFisher Scientific, Bosch ,KPIT Technologies, 1000Looks.com, TCS-TRDDC, Lucid Imaging, Samsung, Tata Consultancy Services, Kodak ,Canon and organizations like ISRO, NPOL, Oracle, Zoho Corpoation etc
• Opportunities for student exchange in premiere universities like KTH Sweden, Politecnico Di Milano– Italy, University of New Mexico-USA, RWTH – Aachen University Germany, University of York, University of Turku-Finland, Vrije University ,and other universities USA and Europe etc for a semester or a year.
• Opportunities to work on live projects for Government of India and Industry, Research as a part of the curriculum resulting in scholarly publications and collaborative projects with Amrita Institute of Medical Sciences (Multi Specialty Hospital), Kochi
• Innovative course structure enabling specialization in Big Data and Computational Intelligence, Networking, and High Performance Computing with specialized Mathematics Courses
• Advanced courses in recent thrust areas like Enterprise Architecture, Parallel and Distributed Computing, Foundations of Data Science, Machine Learning for Big Data
• Research as part of curriculum resulting in scholarly publications
• Courses with focus on lab components providing expertise in technologies like Hadoop, R Programming, Data Analytics Tools
• Regular workshops conducted by industry and academia: Workshop by TCS on Hadoop and Mapreduce, NS2 Workshop with sessions from experts from academia

• B.Tech. (Computer and Information Science)
• B.Tech. or B.E. (Computer Engineering)
• B.Tech. or B.E. (Computer Science and Engineering)
• B.Tech. or B.E. (Electrical and Electronics Engineering)
• B.Tech. or B.E. (Electrical Engineering)
• B.Tech. or B.E. (Electronics and Communication Engineering)
• B.Tech. or B.E. (Electronics and Instrumentation Engineering)
• B.Tech. or B.E. (Electronics Engineering)
• B.Tech. or B.E. (Information Science and Engineering)
• B.Tech. or B.E. (Information Technology)
• M.Sc. in Computer Science
• M.Sc. in Information Technology
• M.Sc. in Software Engineering
• MCA

Duration : Two years

. Biometrics
. Computer Vision
. Signal Processing
. Data Analytics
. Evolutionary Computing
. Next Gen Computing
. Predictive Analytics & IoT
. Human Computer Interaction

Smart Climate Monitoring for Large Scale Buildings

Company: Robert Bosch Engineering and Business Solutions Private Limited, Coimbatore

Abstract
Air conditioning systems in large scale buildings contribute a major portion of the energy requirements. A centralized temperature monitoring system would result in the enhancement of air conditioning services in large scale buildings. Here we develop a centralized temperature monitoring scheme suitable for office environments. Wireless sensors are placed inside a compartmentalized office area, which collects the surrounding temperature data and sends it to the cloud. The application in the cloud will receive this data, store the data and present this data graphically to the end user. In order to reduce the redundant data as well as for making the sensor network energy efficient, we carry out a data analytics algorithm to identify the redundant sensors in the network based on data correlation.

Hybrid Localization Algorithm for Indoor Asset Tracking

Abstract
Main focus of this research work is to design an efficient and scalable RFID based hybrid indoor localization algorithm that operates over long-range RFID readers. The major objectives of this work are to design an approach that is extensible to large environments with minimal calibration and to provide high accuracy. Asset tracking is important for resource utilization and recovery. It is a service that helps locate objects instantly by providing easy access of item locations without much manual effort. We design a hybrid localization algorithm to accurately estimate the position of an object within a finite indoor space. Our approach uses power level and signal strength parameters which are readily available without the requirement of additional hardware. Furthermore, our algorithm applies intelligent region elimination techniques, thereby avoiding the use of heavy calibration and computationally complex algorithms.

Securing Image Posts in Social Networking

Abstract
The most unbeatable technology, Internet brings to people for communication is social networks. With the exponential growth of users in internet, there is an equivalent growth among internet users to regularly visit social websites for linking with their friends, sharing thoughts, photos, videos and even discuss about their day today activities. The fact these social networks are available to all the users for free, leads to various types of security issues. Image security has been a topic of research over decades. Enhancements to individual techniques and combinations proposed till date have offered different levels of security assurances. This work aim to present a technique for secure sharing of image posts in social network. The significant feature of the scheme lies in the selection of security technique based on image content, evaluation of peers with whom the image can be shared based on text classification, transliteration and tone analysis. The proposed scheme a cost effective solution as it does not require any additional hardware. The utility of the model is demonstrated by mapping the scheme with Facebook and analyzing its performance through simulation.

Excellent placement record of 88 % for the eligible students combining all three campuses in 2021 Batch

Students who are eligible and opt for placements could potentially have multiple job offers.Placements have always been excellent at Amrita. An array of companies visit Amrita for placement of M.Tech Students.Corporate & Industry Relations, has developed industry-academia association through frequent visits, interactions with the top management and facilitation of Faculty Development Programmes, Student Visits, Industrial Training, and Project Guidance under Corporate Action Plan.

• Over 200 companies visit the campus every year.
• Dream option available for placed students to go for higher packages / better job profiles.
• More than 400 industrial tie-ups
• Highest CTC/Salary: Rs. 75 Lakhs
• Placement and six month Internships at Multinational Companies such as Google, Microsoft, Intel, Cisco, ABB, Wipro, Alcatel-Lucent, Cerner, Bosch, Honeywell, TCS, Zoho etc.