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M.Tech (CSE with specialization in Artificial Intelligence)

Course Duration 2 Years
  • Home
  • School of Engineering & Technology
  • Department of Computer Science Engineering
  • M.Tech (CSE with specialization in Artificial Intelligence)

About Course

This postgraduate program equips you with the state-of-the-art as well as advanced skills required to become a successful AI Expert and Data Scientist. The focus is on understanding and making the right choice of abstractions thus making it possible to implement AI based solutions from existing and future components. This course includes Artificial Intelligence, Machine Learning, Deep Learning, and the latest technologies required to excel in this domain and launch your career in Artificial Intelligence.

Eligibility & Admission

Bachelor’s degree or equivalent in the relevant field.

Obtained at least 50% marks (45% in case of reserved category)

PROGRAM FEEAMOUNT
Registration Fee (One Time)12,000/-INR
Semester Fee41,200/-INR

Learning Outcomes

  • Advanced technologies understanding by covering key concepts of Artificial Intelligence and Machine Learning.

  • Enable to apply the advanced principles, models, and algorithms of AI to recognize, model, and solve problems by researchers in the analysis and design of real time information systems while hands on practice of AI concepts on digital platforms.

  • Research projects with applicability of AI and ML methodologies to meet global market trends.

  • Design and implementation of intelligent agents for futuristic tutoring systems applications.

Programme USP

  • Post Graduates will demonstrate competency in the global market by being placed up in Artificial Intelligence based Research and Development firms across the globe including National and Multi-National Organizations.

  • The program equips the students with knowledge regarding Artificial Intelligent software (Tensorflow, Anaconda, Braina, Azure studio, PyCharm) along with AI based languages such as PROLOG, Python, Julia.

  • Research and innovation through dissertation will establish synch between academia-industry on the same time, leading to experiential learning.

  • State-of-the-art laboratories with advanced equipment and AI based software through blended learning approach to provide hands on practice to the candidates in providing intellectual solutions to the problems in various domains and applications such as Data mining, Natural Language Processing, Robotics and Mechatronics, Business Analytics.

  • The career path of the course will lead to generate AI Expert, ML Expert, Data Scientist.

Career Prospects

Successful postgraduates of the course are lucratively hired in both public and private sectors, such as Artificial Intelligence agencies, Robotics companies Coordinating Committee for Artificial Intelligence, and other related domains.

 

Course Curriculum

Semester I

Operation research and Methodology
Advance Computer Networks
Advance Database System
Lab-I (Advance Database System)
Seminar

Semester II

Advance Software Engineering
Digital Image Processing
Big Data Analytics

(Department Elective – I)

Expert System

(Department Elective – I)

Machine Learning

(Department Elective – I)

Internet of Things

(Department Elective – II)

Data Ware Housing & Data Mining

(Department Elective – II)

Computer Vision

(Department Elective – II)

Advance Software Engineering (Lab)

(Department Elective – II)

Semester III

Artificial Intelligence
Advanced Computer Vision

(Department Elective – III)

Advance Robotics

(Department Elective – III)

Network Security

(Department Elective – III)

Fundamental of Data Science

(Open Elective – I)

Multimedia System

(Open Elective – I)

Advanced Data Mining

(Open Elective – I)

Pre-Thesis Seminar

(Open Elective – I)

Project

(Open Elective – I)

Semester IV

Dissertation

Admission 2021

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