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Program Overview

About

The Center for Computational Engineering and Networking (CEN) offers MTech level course in Data Science.

Data science has critical applications across most industries, and it is one of the most in-demand careers in computer science. So this M.Tech course aims at preparing students in the area of computational sciences especially in data driven modeling and scientific computation.

Recent advances in computing-hardware platforms (NVIDIA CPU-GPUs, and Intel-Altera CPU-FPGA), Artificial Intelligence software platforms (like Torch, Theano and Tensor-flow) and sensor technology (camera, lidar, ultrasonic sensors) has resulted in rapid progress in machine -cognition tasks and is expected that machines will soon surpass the humans in visual and audio perception capabilities.

 

 

Curriculum

Semester I
Category Code Title L T P Credit
FC 20MA604 Computational Linear Algebra and Optimization for Data Sciences 3 0 1 4
SC 20DS611 Introduction to Machine Learning 2 0 1 3
FC 20DS601 Algorithms and Structures for Data Science 2 0 1 3
SC 20DS612 Real Time Operating System for Embedded Computing 2 0 1 3
SC 20DS613 Embedded Computing for Data Science 2 0 1 3
SC 20RM600 Research Methodology 2 0 0 2
HU 18HU601 Amrita Value Programs * * * P/F
HU 18HU602 Career Competency – I * * * P/F
Total       18
Semester II
Category Code Title L T P Credit
SC 20DS614 Machine Learning for Signal Processing and Pattern Classification 2 0 1 3
FC 20DS602 Probabilistic Graphical Models 2 0 1 3
SC 20DS615 Scientific Computing 2 0 1 3
SC 20DS616 Computer Networks and IOT 2 0 1 3
E * Elective-I 2 0 1 3
E * Elective-II 2 0 1 3
HU 18HU603 Career Competency – II 0 0 1 1
Total   19
Semester III
Category Code Title L T P Credit
SC 20DS617 Big Data Framework for Data Science 2 0 1 3
E * Elective-III 2 0 1 3
E * Elective-IV 2 0 1 3
P 20DS798 Dissertation 0 0 8 8
Total 17
Semester IV
Category Code Title L T P Credit
P 20DS799 Dissertation 0 0 12 12
Total 12
Foundation Core
Code Title L T P Credit
20MA604 Computational Linear Algebra and Optimization for Data Sciences 3 0 1 4
20DS601 Algorithms and Structures for Data Science 2 0 1 3
20DS602 Probabilistic Graphical Models 2 0 1 3
Subject Code
Code Title L T P Credit
20DS611 Introduction to Machine Learning 2 0 1 3
20DS612 Real Time Operating System for Embedded Computing 2 0 1 3
20DS613 Embedded Computing for Data Science 2 0 1 3
20DS614 Machine Learning for Signal Processing and Pattern Classification 2 0 1 3
20DS615 Scientific Computing 2 0 1 3
20DS616 Computer Networks and IOT 2 0 1 3
20DS617 Big Data Framework for Data Science 2 0 1 3
20RM600 Research Methodology 2 0 0 2
Electives
Category Code Title L T P Credit
E 20DS701 Digital Control Systems 2 0 1 3
E 20DS702 Multivariable Control Systems 2 0 1 3
E 20DS703 Deep Learning in Genomic and Biomedicine 2 0 1 3
E 20DS704 Deep Learning for Biomedical Data Analysis 2 0 1 3
E 20DS705 Speech Processing 2 0 1 3
E 20DS706 Deep Learning for NLP 2 0 1 3
E 20DS707 Social Media Analytics 2 0 1 3
E 20DS708 Deep Learning for Visual Recognition 2 0 1 3
E 20DS709 Deep Learning for Cyber security 2 0 1 3
E 20DS710 Computational Fluid Dynamics 2 0 1 3
E 20DS711 Deep Learning Essential for Self-Driving Car 2 0 1 3
E 20DS712 Introduction to Additive Manufacturing 2 0 1 3
E 20DS713 Unmanned Aerial Vehicles and Essential Control 2 0 1 3
E 20DS714 Computational Robotics and Robotic Operating System 2 0 1 3
E 20DS715 Complex Systems in Engineering, Finance & Biology: Modelling & Analysis 2 0 1 3
E 20DS716 Introduction to Data Analysis 2 0 1 3
Eligibility

Academics

Duration: Two years

Eligibility Criteria

All branches of Engineering/Science.

Research

Thrust Areas
  • Machine learning and Pattern Recognition
  • Health care
  • Driverless Car
  • Power Quality Assessment for Smart Grids
  • Computer Vision in Robotics
  • Data Structures and Algorithms
  • Foundation of Data Science
  • Data Preparation and Analysis
  • Statistical Learning
  • Forecasting
  • Natural Language Processing
  • Hyper Spectral Imaging-based Remote Sensing
  • High Performance Computing
  • Speech Processing
  • Big Data Analytics in Text, Vision, Health Care and Energy.
  • Big Data Mining
  • Computational Intelligence
  • Machine Learning
  • Deep Learning and Time Series Analysis
Funded Projects
  • Development of English to Indian Languages : Machine Translation System
  • Wordnet DIT
  • “Analysis, Processing and Synthesis of Emotions in Speech.” DST, Govt of India
  • Improving coconut production in Kerala using soil data through Remote Sensing and GIS technique CDB, Kerala
  • Joint Development of Speech modules. C-DAC, Pune
  • U –share : Multiuser realtime shared access platform for remote experimentation MHRD
  • Machine Translation MHRD
  • Machine translation system for cinema lab-title translation Consultancy Project from Sharp Electronics
  • Computing Tools for Tamil Language Teaching & Learning Tamil Virtual Academy
  • Big data for Cyber Security Paramount
  • “ Virgin Coconut Oil As A Neuro Regenerative Agent For Alzheimer‟S Disease- Computational Analysis And Pharmacogenomic Study”
  • Design and Evaluation of a DRFM Mitigation system National Instruments Corporation, USA
  • Large Scale Multilingual Machine Assisted Translation workbench with Mono- lingual search on cloud for eBhasha MMP DEITY, Govt of India
  • Early Warning Rframework Part-2 – Network Security Situational awareness and countermeasures using DNS, BGP, Netflow and remote content inception DEITY, Govt of India.
Best Student Projects
  • Best paper award in ICCACI-2017 based on the final year project work
  • 2016-2018 batch students secured 2nd Place in the Rus profiling shared task based on the ongoing project works

Placement Opportunities & Industry Partners

 

Industry Partners

Center has long term collaboration with various national laboratories (C-DAC Pune – Artificial Intelligence as applied to computational linguistics, NPOL – Cochin – Artificial Intelligence applied to Signal Processing), various IIT’s (IIT Bombay – Natural Language Processing, IIT Guwahati – Speech Processing, IIT Madras – Spatio Temporal Data Analysis), various NIT’s (NIT Surathkal – Natural Language Processing, NIT Trichy – Smart Grids) and International research institutes (KTH- Sweden – Artificial Intelligence as applied to power grids, Potsdam Institute Berlin – Spatio-Temporal data analysis, University of Cincinnati – BioInformatics, University of Wyoming – Artificial Intelligence applied to Agriculture).

Fee Structure

*Will be updated soon

Program Fees for the Year 2021
Campus Tuition Fees
Per Sem
Tuition Fees
Total
Hostel & Mess
Per Year
Coimbatore * * *

Facilities & Infrastructure

  • GPU Servers
  • Autonomous Car
  • Speech Process Lab
  • DNA Sequencer
  • 3D Printer
  • Control System Lab
  • Big Data Lab.
  • Intelligence Lab
  • Eye Tracking Lab
  • CACHE Lab
  • Language Lab
  • ARRC
  • IoT Lab

Click here to know more.

M.Tech. Artificial Intelligence & Data Science, Amrita Vishwa Vidyapeetham

Why M.Tech in Artificial Intelligence and Data Science?

Student Testimonials

Lakshmi Krishnan
Postdoctoral Research Fellow, Victoria University of Wellington, New Zealand

I am an alumni of CEN; I completed my M Tech in Computational Engineering in 2012. My time at Amrita was a very different experience, especially the guidance of our beloved Soman Sir, which nurtured my interest into research in the fields of signal processing and optimization. After completing my Masters, I moved to New Zealand where I started exploring opportunities for pursuing my research interests. My PhD thesis supervisor at Victoria, impressed by the research that I carried out under the guidance of Soman Sir, agreed to supervise me for Doctoral research. I was also fortunate to get my research funded using the coveted Victoria Doctoral Scholarship. The scholarship is highly competitive and awarded mainly based on academic credentials and the quality of publications. I could get this scholarship primarily because of the publications from the research work done with Soman Sir

Amitha V.,
Software Developer, Schwbisch Gmnd, Germany

From my day one in CEN, I came to know a lot of people with full energy and enthusiasm towards research. CEN is a big family under the roof of outstanding professor Dr. Soman K.P, our dearest Soman sir. I learned many things from CEN. The syllabus we had was cutting edge. I was trained in writing technical papers and publications and also experienced many new technologies from here. I got a lot of opportunities and worldwide exposure here. The faculty and staffs were very supportive and are top rated. CEN played a major role in shaping my career. I really believe it is a privilege to be a part of CEN department.

Anil Ramachandran
PhD Student, Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Australia

CEN gave me step-by-step guidance on how to build my machine learning skills and master the state of the art machine learning problems. All the teachers and staffs are very friendly and its a great place for students who have a passion to work on current research problems.

Rahul Venkatesh Kumar
Cognitive Engineer AI, Smart Dubai Government , United Arab Emirates

Center for Computational Engineering and Networking (CEN) enlightened my life in so many ways, and opened up employment opportunities.I have chosen Natural Language Processing and Cognitive Learning as core subject in my master degree.I like the hands-on approach of the courses at CEN because it has taken my learning beyond theory. I have learned to apply my knowledge through experiences like publishing research paper’s, working with extremely talented Mathematicians and professors and also continuous participating in Artificial intelligence challenges.Thank you CEN!

Nikhila Haridas
Systems Engineer, Artificial Intelligence, Tata Consultancy Services

I started my M.Tech program in Amrita University without knowing much about Computational Engineering and Networking (CEN). But now, I realize that the two years in CEN had really prepared me for a career in Artificial Intelligence. The interdisciplinary nature of the academic programs in CEN which includes Machine learning, Deep Learning, Remote Sensing, Image Processing, Big Data Analytics etc. and the research atmosphere is the highlight of the department. Unlike other post graduate programs, learning at CEN is really different. Apart from the classroom lessons, we had numerous workshops, paper presentations, seminars which helped me to nurture the latest trends in technology. The excellent faculty, having expertise in various backgrounds gave me proper guidance to learn. I am proud to be a part of the CEN family. My areas of interest includes Image processing, Machine learning, Deep learning, Natural Language Processing.

Why Amrita

601-800th

World University Rankings 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

5th

India University Rankings 2020

12th

Overall Rankings 2020
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade
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