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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

Semester I
Course Code Type Course L T P Cr
21AI601 FC Advanced Data Structures and Algorithms 3 0 2 4
21MA613 FC Linear Algebra and Probability 2 1 0 3
21AI602 FC Computational Methods for Optimisation 2 1 0 3
21AI603 FC Foundations of Artificial Intelligence 3 0 2 4
21AI604 FC Machine Learning 3 0 2 4
21HU601 HU Amrita Values Program∗ * * * P/F
21HU602 HU Career Competency I * * * P/F
Total Credits 18

∗Non-credit course

Semester II
Course Code Type Course L T P Cr
SC Soft Core – I 3 0 2 4
SC Soft Core – II 3 0 2 4
Elective Elective – I 2 0 2 3
Elective Elective – II 2 0 2 3
21AI698 SC Case Study 0 0 4 2
21RM618 SC Research Methodology 2 0 0 2
21HU603 HU Career Competency II 0 0 2 1
Total Credits 19
Semester III
Course Code Type Course L T P Cr
19AI798 E Elective – III 2 0 2 3
21AI723 E Negotiated Studies/Online Course 3 0 0 3
19AI798 * Dissertation Phase I * * * 10
Total Credits 16
Fourth Semester
Course Code Type Course L T P Cr
21AI799 * Dissertation Phase II * * * 16
Total Credits 16
Total Credits 69
Foundation Courses
Course Code Course L T P Cr
21AI601 Advanced Data Structures and Algorithms 3 0 2 4
21MA613 Linear Algebra and Probability 2 1 0 3
21AI602 Computational Methods for Optimisation 2 1 0 3
21AI603 Foundations of Artificial Intelligence 3 0 2 4
21AI604 Machine Learning 3 0 2 4
Soft Core
Course Code Course L T P Cr
21AI631 Foundation of Data Science 3 0 2 4
21AI632 Statistical Learning Theory 3 0 2 4
21AI633 Probabilistic Graphical Models 3 0 2 4
21AI634 Computational Statistics and Inference Theory 3 0 2 4
21AI635 Multi Agent Systems 3 0 2 4
21AI636 Computational Intelligence 3 0 2 4
21AI637 Deep Learning 3 0 2 4
21AI638 Reinforcement Learning 3 0 2 4
21AI639 Computer Vision 3 0 2 4
21AI640 Data Engineering 3 0 2 4
21AI641 Mining of Massive Datasets 3 0 2 4
21AI642 Natural Language Processing 3 0 2 4
21AI643 Cloud and Big Data Analytics 3 0 2 4
21AI698 Case Study 0 0 4 2
21RM618 Research Methodology 2 0 0 2
Electives
Course Code Course L T P Cr
21AI701 Machine Learning for Big Data 2 0 2 3
21AI702 Applications of Machine Learning 2 0 2 3
21AI703 Representation Learning 2 0 2 3
21AI704 Applied Predictive Analytics 2 0 2 3
21AI705 Artificial Intelligence for Robotics 2 0 2 3
21AI706 Introduction to Game Theory 2 0 2 3
21AI707 Modeling and Simulation 2 0 2 3
21AI708 Information Retrieval 2 0 2 3
21AI709 Web Intelligence and Big Data 2 0 2 3
21AI710 Data Visualization 2 0 2 3
21AI711 Networks and Spectral Graph Theory 2 0 2 3
21AI712 Parallel and Distributed Data Management 2 0 2 3
21AI713 Medical Signal Processing 2 0 2 3
21AI714 Parallel and Distributed Computing 2 0 2 3
21AI715 Modern Computer Architecture 2 0 2 3
21AI716 GPU Architecture and Programming 2 0 2 3
21AI717 IoT for AI 2 0 2 3
21AI718 Neuroevolution 2 0 2 3
21AI719 Quantum Artificial Intelligence 2 0 2 3
21AI720 Knowledge Graphs 2 0 2 3
21AI721 Integer Programming: Theory and Computations 2 0 2 3
21AI722 Data Pre-processing and Feature Engineering 2 0 2 3
21AI723 Negotiated Studies/Online Course 3 0 0 3
Eligibility

Admission

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
MTech Program Fee 2022 (Per Semester)

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 2021

12th

Overall Rankings 2021
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

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