M. Tech. in Data Science | Amrita Vishwa Vidyapeetham

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.

Dates to note

21 Sep

Commencement of Classes (Bengaluru)

About

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

Curriculum

Semester I Semester II Semester III Semester IV Foundation Core Subject Code Electives

Semester I

Category	Code	Title	L	T	P	Credit
FC	21MA602	Computational Linear Algebra	2	1	0	3
FC	21DS601	Optimization Techniques for Data Science	2	1	0	3
FC	21DS602	Machine Learning	3	0	3	4
FC	21DS603	Data Structures and Algorithms for Data Science	2	1	0	3
SC		SC-1	2	1	0	3
SC	21RM607	Research Methodology	2	1	0	2
HU	21HU601	Amrita Value Programs	*	*	*	P/F
HU	21HU602	Career Competency – I	*	*	*	P/F
		Total				18

Semester II

Category	Code	Title	L	T	P	Credit
FC	21DS611	Deep Learning	3	0	3	4
SC		SC-2	2	1	0	3
SC		SC-3	2	1	0	3
SC		SC-4	2	1	0	3
E		Elective-I	2	1	0	3
E		Elective-II	2	1	0	3
HU	21HU603	Career Competency – II	0	0	2	1
		Total				20

Semester III

Category	Code	Title	L	T	P	Credit
E	*	Elective-III	2	1	0	3
E	*	Elective-IV	2	1	0	3
P	21DS798	Dissertation I	0	0	10	10
		Total				16

Semester IV

Category	Code	Title	L	T	P	Credit
P	21DS799	Dissertation II	0	0	16	16
		Total				16

Foundation Core

Code	Title	L	T	P	Credit
21MA602	Computational Linear Algebra	2	1	0	3
21DS601	Optimization Techniques for Data Science	2	1	0	3
21DS603	Data Structures and Algorithms for Data Science	2	1	0	3
21DS602	Machine Learning	3	0	3	4
21DS611	Deep Learning	3	0	3	4

Subject Code

Code	Title	L	T	P	Credit
20DS611	Embedded Computing & Realtime OS for Data Science	2	0	1	3
21RM607	Research Methodology	2	0	0	2
21DS632	Introduction to Probabilistic Graphical Models	2	0	1	3
21DS633	Scientific Computing	2	0	1	3
21DS634	Text Mining and Analytics	2	0	1	3
21DS635	Big Data Framework for Data Science	2	1	0	3
21DS636	Statistical Modelling	2	1	0	3
21DS637	Advanced Data Visualization and Analytics	3	0	0	3

Electives

Code	Title	L	T	P	Credit
21DS701	AI Applications for Power Systems	2	0	1	3
21DS702	Deep Learning in Genomics and Biomedicine	2	0	0	2
21DS703	Deep Learning for Biomedical Data Analysis	2	0	1	3
21DS704	Deep Learning for Speech Signal Processing	2	0	1	3
21DS705	Social Media Analytics	2	0	1	3
21DS706	Deep Learning for Visual Recognition	2	1	0	3
21DS707	Deep Learning for Cyber Security	2	1	0	3
21DS708	Complex Systems in Engineering, Finance & Biology: Modelling & Analysis	3	0	0	3
21DS709	High Performance Computing	2	1	0	3
21DS710	Multiscale Fluid Modelling	2	1	0	3
21DS711	Computer Vision	2	1	0	3
21DS712	Reinforcement Learning	2	1	0	3
21DS713	Blockchain Technology	2	1	0	3
21DS714	Predictive Analytics for Internet of Things	2	1	0	3
21DS715	Cloud Computing and Security in the Cloud	2	1	0	3

Year-wise Curriculum & Syllabus

2021 Curriculum & Syllabus

Research

Thrust Areas Funded Projects Best Student Projects

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).

View All Placements

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.

About Amrita Vishwa Vidyapeetham

Amritapuri Campus

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Bengaluru Campus

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Research

Programs

From the news

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Program Overview

About

Dates to note

About

Important Note

Closing of Application – August 20, 2023

Commencement of Classes (Amritapuri) – August 16, 2023

Commencement of Classes (Coimbatore) – July 19, 2023 (Orientation Program on 17th & 18th July)

Commencement of Classes (Bengaluru) – August 9, 2023

Curriculum

Admission

Eligibility Criteria

MTech Program Fee 2022 (Per Semester)

Year-wise Curriculum & Syllabus

Research

Placement Opportunities & Industry Partners

Industry Partners

Facilities & Infrastructure

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

Student Testimonials

Lakshmi Krishnan

Amitha V.,

Anil Ramachandran

Rahul Venkatesh Kumar

Nikhila Haridas

Why Amrita

601-800th

141

801–1000th

168th

7th

15th

Contact Us

Amritapuri
Campus

Amaravati
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Bengaluru
Campus

Chennai
Campus

Coimbatore
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Faridabad
Campus

Kochi
Campus

Mysuru
Campus

Commencement of Classes (Coimbatore) – July 19, 2023
(Orientation Program on 17th & 18th July)