Admission Open for MTech @ Amrita Vishwa Vidyapeetham
Contact: 8606878111 Chat on WhatsApp mtech@amrita.edu
All Programs are AICTE Approved
The Center for Computational Engineering and Networking (CEN) offers M.Tech 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 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 requires 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
Duration of the Course: Two years
Research is focused in data science for :
All branches of Engineering and Sciences.
GPU Servers, Autonomous Car, Speech Processing Lab, DNA Sequencer, 3D Printer, Control System Lab using Drones, Big Data Lab
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).
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 |
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 |
Visit Center for Computational Engineering and Networking (CEN)(Coimbatore Campus) Website
If you wish to know more about the course please mail to,
mtech@amrita.edu
2020 |