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B.Tech. in Computer Science and Technology (Artificial Intelligence)

Why take this course?

B. Tech Computer Science and Technology with specialization in Artificial Intelligence (AI) degree program has seen an exponential growth in the last few years. It is fueled by explosion in the use of Internet, extensive penetration of smart phones, increasing use of online services, social media, e-banking and increasing incidents on Human workload. Artificial Intelligence is a well-established exciting specialization of computer science concerned with methods to make computers or machines intelligent. So that they are able to learn from experience to derive implicit knowledge from the one given and to understand natural languages to determine the content of images to work collaboratively.

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What will I experience?

What opportunities might it lead to?

By 2020, insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers. Forrester Predictions 2017: Artificial Intelligence will drive the Insights Revolution. NASSCOM says by 2020, the artificial intelligence market will surpass $60 billion. Here are some of the roles an AI professional can look forward to in major organizations.

Degree Awarded

Bachelor of Technology

Course Commencement

July 2018

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Eligibility

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together.

Study Campus

Admissions Office



Curriculum Structure & Teaching

I & II Semesters (Common to all the branches)

Physics Cycle

  • Engineering Mathematics –I
  • Physics
  • Communicative English
  • Problem Solving Through Programming
  • Engineering Graphics
  • Physics Lab
  • Problem Solving Through Programming Lab
  • Communicative English Lab

Chemistry Cycle

  • Engineering Mathematics – II
  • Chemistry
  • Basics of Electrical Engineering
  • Workshop Practice
  • Sociology and Elements of Indian History for Engineers
  • Chemistry Lab
  • Electrical Engineering Lab

III Semester
  • Mathematical for Computer Science
  • Artificial Intelligence
  • Data Structures using C
  • Object Oriented Programming with JAVA
  • Digital Electronics
  • Data Structures using C Lab
  • Object Oriented Programming using JAVA Lab
  • Digital Electronics Lab
  • Mandatory Course: Energy Studies

IV Semester
  • Database Management Systems
  • Signal and Systems
  • Operating Systems
  • Business Communication and Presentation skills
  • Computer Organization and Architecture
  • Database Management System Lab
  • Signal and Systems Lab
  • Operating Systems Lab


V Semester
  • Computer Networks
  • Design & Analysis of Algorithms
  • Logic Programming and Uncertainty in Artificial Intelligence
  • IT Workshop (Python)
  • Organizational Behavior
  • Elective – I
  • Knowledge Representation and Reasoning
  • Computer Human Interface
  • Embedded Systems
  • Computer Networks Lab
  • Design & Analysis of Algorithms Lab

VI Semester
  • Sensor Technologies
  • Elective-II
  • Fuzzy Logic and Application
  • Speech Processing
  • Data Mining
  • Elective-III
  • Natural Language Processing
  • Real Time Data Processing
  • Probabilistic Graphical Methods
  • Open Elective-I
  • Digital Image Processing
  • Computer Graphics
  • Data Visualization
  • Project-1
  • Sensor Technologies Lab

VII Semester
  • Elective - IV
  • Genetic Algorithm and Applications
  • Robotics
  • Graphical Models and Bayesian Networks
  • Elective-V
  • Machine Learning Algorithm
  • NoSQL Databases
  • Design and Analytics of Experiments
  • Open Elective-II
  • Deep Learning
  • Pattern Recognition
  • Advanced Big Data Analytics
  • Elective-IV Lab
  • Project Work-II

VIII Semester
  • Open Elective-III
  • Reinforcement Learning
  • Recommender System
  • Time Series Analysis
  • Open Elective-IV
  • Application of AI and ML in Robotics
  • Expert System
  • AI Platforms
  • Internship/ Project work –III