Admission Open for MTech @ Amrita Vishwa Vidyapeetham

Academics

M. Tech. in Artificial Intelligence is a program offered at School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri campus.

As we see a tech revolution in all facets of life powered by Artificial Intelligence, Amrita Vishwavidyapeetham offers an M. Tech. program in AI at Amritapuri campus to provide young engineers with a futuristic edge.

M. Tech. in AI will provide the students with an opportunity to learn both foundational and experimental components of AI and Machine Learning. The program will open various career opportunities involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies as well as research careers in AI and ML.

Along with courses that provide specialization in AI, students will also have options to explore some applied domains such as computer vision, natural language processing, robotics, data analytics and computer security. This enables the M. Tech. in AI graduates to take up careers in R&D positions in Industry, academia and research laboratories. The 2-year postgraduate program is divided into 4 semesters, with each year containing 2 semesters. The course content provides the students with proper insight about the domain of Artificial Intelligence with a firm foundation in ‘Mathematics for Artificial Intelligence’. The carefully designed syllabus provides the students with deep knowledge in the core areas of Algorithm analysis and design, Modern Computer Architecture, foundations of Artificial Intelligence, Data Science and Machine Learning and Parallel and Distributed Data Management etc. 

The Core courses give them sufficient expertise in the areas of Algorithm Analysis and Design, Modern Computer Architecture, Artificial Intelligence Foundations, Data Science and Machine Learning, Parallel and Distributed Data Management etc. Elective courses include various application domains of AI such as Robotics, Video/Image Analytics, Medical Signal Processing, Agents Based Systems, Data Mining and Business Analytics, Natural Language processing, Wireless Sensor Networks, Internet of things etc. 

Once they complete the course, students get opportunities to get fully paid Internships and placement offers at MNCs and IT/ITES companies like Intel, Cerner, Robert Bosch, DELL etc. Also, they could publish quality research papers of the case studies/dissertations done as part of their M. Tech. program. Along with regular M. Tech, this program also provides opportunities to do Dual Degree Program (M. Tech from Amrita and MS from International universities) or One Semester/ One Year abroad programs offered by premiere universities like KTH (Sweden), Politecnico Di Milano (Italy), University of New Mexico (USA) and RWTH (Aachen University Germany).

Eligibility Criteria

B. E./ B. Tech. (Computer Science, Information Technology, Electronics and Communication, Electrical and Electronics, Electronics and Instrumentation ), MCA, Msc Computer Science, Msc Software Engineering

 

Research Areas

Algorithm Analysis and Design, Modern Computer Architecture, Data Science and Machine Learning, Parallel and Distributed Data Management, Natural Language Processing, Text Technologies for Data Science, Data Analytics and Mining, Big Data Management, Data Visualization, Internet of Things.

Facilities and Infrastructure

  1. Smart Class Rooms
  2. High Performance Computing Lab with GPUs
  3. Machine learning Lab
  4. Top class faculty.

     

Internships

The students of M. Tech. Computer Science and Engineering, Semester 2, 2018-2020 batch, secured prestigious internships at the following companies:

Namitha S. Nair
Dell EMC

Krishna Suresh
ABB

Shibu S. Narayanan
Dell EMC

Shilpa Joseph
Nokia

Arun Sandeep
Nokia

Gautham K. D.
Philips

Poojitha P. V.
Data Point Info Solution

Bhimavarapu Sumathi
Data Point Info Solution

Ashna Ann Babu
Nokia

Aiswarya k. P.
E & Y LTD

Akhil Sreekumar
Nokia

Industry Partners


Curriculum

First Semester

Course Code Type Course L T P Cr
19AI601 FC Advanced Data structures and Algorithms 3 0 1 4
19MA609 FC Mathematics for Artificial Intelligence 3 0 1 4
19AI602 FC Foundations of Artificial Intelligence 3 0 1 4
  SC Soft Core I 3 0 1 4
  SC Soft Core - II 3 0 1 4
  Elective Elective I 3 0 0 3
19HU601 HU Amrita Values Program*       P/F
19HU602 HU Career Competency I*       P/F
Total Credits       23
*Non-credit course       23

Second Semester

Course Code Type Course L T P Cr
  SC Soft Core - III 3 0 1 4
  SC Soft Core - IV 3 0 1 4
  Elective Elective - II 3 0 0 3
  Elective Elective - III 3 0 0 3
  Elective Elective - IV 3 0 0 3
  SC Negotiated Studies       2
19RM600 SC Research Methodology 2 0 0 2
19HU603 HU Career Competency II 0 0 2 P/F
Total Credits 21

Third Semester

Course Code Type Course L T P Cr
19AI798   Dissertation       10
Total Credits 10

Fourth Semester

Course Code Type Course L T P Cr
19AI799   Dissertation       12
Total Credits 12
Total Credits 66

Foundation Courses

Course Code Course L T P Cr
19AI601 Advanced Data Structures and Algorithms 3 0 1 4
19MA609 Mathematics for Artificial Intelligence 3 0 1 4
19AI602 Foundations of Artificial Intelligence 3 0 1 4
Course Code Course L T P Cr
19RM600 Research Methodology 2 0 0 2

Elective (Live-in-Labs)

Course Code Course L T P Cr
19AI797 Live-in-Labs 0 0 3 3

Students can do Live-in-Labs course in lieu of an elective from II Semester or III Semester

Soft Core

Students have to select any four soft core subjects from the list given below:

Course Code Course L T P Cr
19AI611 Foundation of Data Science 3 0 1 4
19AI612 Statistical Learning Theory 3 0 1 4
19AI613 Machine Learning 3 0 1 4
19AI614 Probabilistic Graphical Models 3 0 1 4
19AI615 Optimization Techniques 3 0 1 4
19AI616 Computational Statistics and Inference Theory 3 0 1 4
19AI617 Multi Agent Systems 3 0 1 4
19AI618 Computational Intelligence 3 0 1 4
19AI619 Deep Learning 3 0 1 4
19AI620 Reinforcement Learning 3 0 1 4
19AI621 Computer Vision 3 0 1 4
19AI622 Negotiated Studies 2 0 0 2

Electives

Course Code Course L T P Cr
19AI701 Machine Learning for Big Data 3 0 0 3
19AI702 Applications of Machine Learning 3 0 0 3
19AI703 Representation Learning 3 0 0 3
19AI704 Applied Predictive Analytics 3 0 0 3
19AI705 AI in Natural Language Processing 3 0 0 3
19AI706 Introduction to Robotics 3 0 0 3
19AI707 Introduction to Game Theory 3 0 0 3
19AI708 Computational Linear Algebra 3 0 0 3
19AI709 Modeling and Simulation 3 0 0 3
19AI710 Advanced Algorithms and Analysis 3 0 0 3
19AI711 Information Retrieval 3 0 0 3
Course Code Course L T P Cr
19AI712 Web Intelligence and Big Data 3 0 0 3
19AI713 Data Visualization 3 0 0 3
19AI714 Networks and Spectral Graph Theory 3 0 0 3
19AI715 Parallel and Distributed Data Management 3 0 0 3
19AI716 Cloud & Big Data Analytics 3 0 0 3
19AI717 Medical Signal Processing 3 0 0 3
19AI718 IoT Protocols and Architecture 3 0 0 3
19AI719 Parallel and Distributed Computing 3 0 0 3
19AI720 Modern Computer Architecture 3 0 0 3
19AI721 GPU architecture and Programming 3 0 0 3
19AI722 Image Analysis 3 0 0 3

Visit Department of Computer Science and Engineering (Amritapuri Campus) Website

Join Amrita M. Tech Artificial Intelligence @ Amritapuri campus

If you wish to know more about the course please mail to,
mtech@amrita.edu

You can join this program at
Degree: 
Postgraduate (PG)
School: 
School of Engineering
Campuses: 
Amritapuri