Last Date to Apply for Final Phase of MTech Admissions - August 1, 2021
All courses are AICTE approved
GATE Candidates - Eligible for DIRECT Admissions
Non-GATE candidates - Online Interview Process
(NO Entrance exam required this year)
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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.
This course is tuned to cater to the demands in terms of skills required of the new scenario.
Moreover, the curriculum takes into account the fact that Modern AI, data science and Scientific computing require a strong foundation in Mathematics and statistics.
So the strategy used in the choice and schedule of the subjects is that give strong foundation in common core and foundational subjects in the first two semesters and allow the student to master an area of his/her choice through four electives, one minor and major project. So 50% of the weightage is for building foundation and remaining 50 % for specialization
Fellowship is awarded to meritorious students on the condition that they satisfy the criteria set by the centre.
Workshops
Student Achievements
- 2014-2016 batch student secured PhD admission in IIT Madras
- 2014-2016 batch student secured Ph.D admission at IISc Bangalore
- 2015-2017 batch student secured Ph.D admission at Deakin University
Duration : Two years
Eligibility Criteria
- B.Tech. (Aerospace Engineering)
- B.Tech. or B.E. (Applied Electronics and Instrumentation)
- B.Tech. (Applied Mechanics)
- B.Tech. or B.E. (Architectural Engineering)
- B.Tech. or B.E.(Automobile Engineering)
- B.Tech. (Automotive Design Engineering)
- B.Tech. (Biochemical Engineering)
- B.Tech. or B.E. (Bioinformatics)
- B.Tech. or B.E. (Biomedical Engineering)
- B.Tech. (Biomedical Instrumentation)
- B.Tech. (Biotechnology and Biochemical Engineering)
- B.Tech. or B.E. (Biotechnology)
- B.Tech. or B.E. (Ceramic and Cement Technology)
- B.Tech. or B.E. (Ceramic Technology)
- B.Tech. or B.E. (Chemical Engineering)
- B.Tech. (Chemical Science and Technology)
- B.Tech. or B.E. (Civil Engineering)
- B.Tech. (Civil Infrastructure Engineering)
- B.Tech. (Cloud Computing & Virtualization Technology)
- 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. (Electronics and Media Technology)
- B.Tech. (Electronics and Nanotechnology)
- B.Tech. (Electronics and Telecom Engineering)
- B.Tech. or B.E. (Electronics Engineering)
- B.Tech. (Energy Engineering)
- B.Tech. (Energy Technology)
- B.Tech. (Engineering Physics)
- B.Tech. or B.E. (Environmental Engineering)
- B.Tech. or B.E. (Geo Informatics Engineering)
- B.Tech. (Geo Sciences Engineering)
- B.Tech. or B.E. (Industrial and Production Engineering)
- B.Tech. (Industrial Biotechnology)
- B.Tech. or B.E. (Industrial Engineering and Management)
- B.Tech. or B.E. (Industrial Engineering)
- B.Tech. (Industrial Microbiology)
- B.Tech. (Information and Communication Technology)
- B.Tech. or B.E. (Information Science and Engineering)
- B.Tech. or B.E. (Information Technology)
- B.Tech. (Infrastructure Engineering)
- B.Tech. or B.E. (Instrumentation and Control Engineering)
- B.Tech. or B.E. (Instrumentation Engineering)
- B.Tech. or B.E. (Manufacturing Technology)
- B.Tech. or B.E. (Material Science Engineering)
- B.Tech. (Mathematics and Computing)
- B.Tech. or B.E. (Mechanical Engineering)
- B.Tech. or B.E. (Mechatronics Engineering)
- B.Tech. or B.E. (Medical Electronics)
- B.Tech. or B.E. (Metallurgical Engineering)
- B.Tech. (Metallurgy)
- B.Tech. (Mineral Engineering)
- B.Tech. or B.E. (Mining Engineering)
- B.Tech. (Nanotechnology)
- B.Tech. (Optics and Optoelectronics)
- B.Tech. or B.E. (Petrochemical Engineering)
- B.Tech. (Physical Sciences)
- B.Tech. or B.E. (Plastic Technology)
- B.Tech. or B.E. (Polymer Engineering)
- B.Tech. (Polymer Technology)
- B.Tech. (Power Engineering)
- B.Tech. (Power System Engineering)
- B.Tech. or B.E. (Robotics Engineering)
- B.Tech. (Rubber Technology)
- B.Tech. or B.E. (Software Engineering)
- B.Tech. or B.E. (Telecommunication Engineering)
- B.Tech. or B.E. (Textile Chemistry)
- B.Tech. (Textile Engineering)
- B.E. (Construction Technology)
- B.E. (Petroleum Engineering)
- B.E. (Power Electronics)
- B.E. (Production & Industrial Engineering)
- B.E. (Production Engineering)
- B.E. (Transportation Engineering)
- B.E. (Welding Technology)
- M.Sc. in Applications of Mathematics
- M.Sc. in Applied Mathematics
- M.Sc. in Applied Mathematics and Computing
- M.Sc. in Applied Statistics and Informatics
- M.Sc. in Biophysics
- M.Sc. in Engineering Physics
- M.Sc. in Mathematical Science
- M.Sc. in Mathematics
- M.Sc. in Mathematics and Computing
- M.Sc. in Maths & Computer Applications
- M.Sc. in Maths & Statistics
- M.Sc. in Physics
- M.Sc. in Science and Technology Communication
- M.Sc. in Statistics
Thrust Areas in Research
- 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
Facilities & Infrastructure
GPU Servers, Autonomous Car, Speech Processing Lab, DNA Sequencer, 3D Printer, Control System Lab using Drones, Big Data Lab. Click here to know more.
- Artificial Intelligence Lab
- Computer Vision and Eye Tracking Lab
- Computer Architecture and High-Performance Computing Lab (CACHE Lab)
- Human Language Technology Lab
- Robotics Lab (ARRC)
- IoT Lab
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 I | ||||||
|---|---|---|---|---|---|---|
| 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 | |||||
| Total Credits | 66 |
List of Courses
| 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 Core | |||||
|---|---|---|---|---|---|
| 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 |
| Professional 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 |
Placement Opportunities & Industry Partners
Placements & Internships
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).
Student Testimonials
"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." Read More »
Lakshmi Krishnan, Postdoctoral Research Fellow, Victoria University of Wellington, New Zealand
"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."
Amitha V., Software Developer, Schwbisch Gmnd, Germany
"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."
Anil Ramachandran, PhD Student, Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Australia
"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!"
Rahul Venkatesh Kumar, Cognitive Engineer AI, Smart Dubai Government , United Arab Emirates
"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."
Nikhila Haridas, Systems Engineer, Artificial Intelligence, Tata Consultancy Services
Alumni Speaks
This course helped me to grasp both mathematical and programming facets of data science and gave a broad over view of the data science field itself. The exposure to R, STATA and real time case studies enabled us to be industry relevant. Dissertation in the final semester in the area of text analytics has helped me develop expertise in the domain. The course also honed my skills on the software side by introducing us to latest big data technologies.
Manju Priya A. R. | Software Designer @ MicroFocus
I recommend this course to all data enthusiasts who like to convert skill sets from a traditional statistician/ analyst to a data scientist and understand the insights systematically rather than following the commercial analytical software blindly. It is a very good breakthrough for career advancement supported by a reputed master’s degree from Amrita Vishwa Vidyapeetham.
Sarath Sasidharan | Technical Lead,Sony India Software Center Pvt Ltd, Bangalore
Studying in Data Science course in Amrita has widened my perspective and has given me an idea of importance of the data and its necessity in today’s day and age.The faculties are very helpful and always present to clear our doubts in order to lead us in the right path.
Shrihari Rao | Consultant, Siemens
Industry Experts Testimony
M.Tech Data Science programme at Amrita is a great way to learn new age essential skills for a career change or to advance in your own field. I am glad to be part of the teaching faculty for the core course ‘Data Visualization’.
Dr. Anand Lakshmanan | Ex- Apple Design Engineer, Founder and CEO of SIRPI
With current disruptive technology era, Data science programme play a major role in shaping the future. M.Tech Program in data science @Amrita is one of the promising courses which help the students to shape their career in data science. I am happy to be part of this program.
Dr. Rajkumar Elagiri Ramalingam | Senior Architect, Robert Bosch Engineering and Business Solutions
Visit Department of Computer Science and Engineering (Bengaluru Campus) Website
Visit Center for Computational Engineering and Networking (CEN)(Coimbatore Campus) Website
Join Amrita M. Tech. Data Science @ Bengaluru Campus or Coimbatore Campus
If you wish to know more about the course please mail to,
mtech@amrita.edu
Year-wise Curriculum & Syllabus
|
2020 |
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