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).