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Program Overview

Prepare for a career in M. Tech. in AI

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 Vishwa Vidyapeetham offers an M. Tech. program in AI at both Amritapuriand Coimbatore campuses 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.

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
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
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

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
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
Eligibility

Academics

Duration: Two years

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

Program Overview

Highlights of the Specialisation

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).

Thrust Areas in Research
  • 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

Placements

At Amrita, companies vie with each other to be the early birds for hiring,
thanks to the quality of students, past and present.

Facilities at a glance

  • Smart Class Rooms
  • Computing Lab
  • Machine learning Lab
  • Top class faculty.
M.Tech. Computer Science & Engineering, Amrita School of Engineering, Kollam

M.Tech in CSE is a graduate degree that builds skill and knowledge in advanced and current topics of computer science.

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

5th

India University Rankings 2020

12th

Overall Rankings 2020
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade
Admissions Apply Now