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M.Tech Program Structure

  • General Structure
  • M.Tech. CS (AI&ML)
  • M.Tech. (Robotics& Automation)
  • M.Tech ECE (Digital Electronics & Communication Systems)
icfaitech-mtech-program-structure

Year

Semester I

Semester II

Courses

Credits

Courses

Credits

I

Research Methods-I

5

Research Methods-II

5

DC-I

5

Interdisciplinary Course-I

5

DC-II

5

Interdisciplinary Course-II

5

DC-III

5

Elective-I

5

DC-IV

5

Elective-II

5

Total Credits

25

Total Credits

25

Summer

II

Elective-III

5

Internship/Thesis

20

Elective-IV

5

Special Project

10

Total Credits

20

Total Credits

20

Total Credits for the Program

90

DC: Discipline Course

Note: Program structure is tentative, subject to change.

M.Tech. CS (AI&ML)

S. No

Discipline Courses

1

Research Methods I

2

Applied Machine Learning

3

Natural Language Processing & Cognitive Computing

4

Deep Learning

5

Reinforcement Learning

6

Research Methods II

Interdisciplinary Courses

1

Recommender System Using Machine Learning

2

Computational Intelligence

Electives

1

Algorithmic Complexity

2

Computational Aspects of Robotics

3

Computational Genomics

4

Pattern Recognition

5

Computer Vision

6

Real Time Intelligent Systems

7

Artificial Intelligence in Intelligent Systems

Note: Program Structure is tentative, subject to change.

M.Tech. (Robotics& Automation)

S.No

Discipline Courses

1

Research Methods I

2

Robotics: Analysis & Systems

3

Drives & Control Systems for Automation

4

Sensors Applications in Robotics

5

Robotic Engineering Applications

6

Research Methods II

Interdisciplinary Courses

1

Analytics in IoT

2

Applied Machine Learning

Electives

1

Advances in Robotics

2

Bio-Robotics

3

Finite Element Methods

4

Automation Manufacturing

5

Computer Aided Engineering

6

Embedded Systems

7

Automatic Control Systems

8

Digital Image Processing

9

Human Computer Interaction

10

Robotics Science & Systems

M.Tech ECE (Digital Electronics & Communication Systems)

S. No

Discipline Courses

1

Research Methods-I

2

Digital Systems Design

3

Advanced Microcontrollers & Processors

4

Wireless communication & computer Networks

5

VLSI Physical Design

6

Research Methods-II

Inter disciplinary Courses

1

Machine Learning based Signal Processing

2

Advanced soft computing Techniques

Electives

1

Advanced Digital Signal Processing

2

Detection and Estimation of Signals

3

SATELLITE and RADAR Communication Systems

4

MIMO Wireless Communication

5

VLSI Design Verification and Testing

6

Programming Languages for Embedded Software

7

RTL Simulation and Synthesis

8

Advanced Antennas for Space Communications

9

Machine Learning for Wireless Communication

10

OPTICAL Communication and Networks

11

VLSI Signal Processing

12

Embedded and Real Time Systems

13

DSP Processors and Architectures

14

Analog and Digital IC Design

15

Smart Antennas