School of Computing Science & Engineering Back
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Program Overview
This specialization is designed to enable students to build intelligent machines with a cutting-edge combination of machine learning, analytics and visualization technologies. Students will acquire ability to explain and apply key ideas in artificial intelligence and machine learning and how they are being used in IBM, Google, Amazon, Facebook, etc. They will gain knowledge of related fields such as natural language processing, text mining, robotics, reasoning and problem solving. Students will get experience in implementing scalable solutions with AI and machine leaning components, technologies and tools.
Duration: 4 years
Eligibility
Minimum 60% in Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational subject / Computer Science / Information Technology / Informatics Practices / Agriculture / Engineering Graphics / Business Studies in class XII.
Or
Minimum 50% marks in Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies in XIIth with minimum 40%ile or upto 5 Lakh rank in JEE Mains.
For Lateral Entry:
Diploma (in Engineering and Technology) examination with at least 60% marks or equivalent (55% marks in case of candidates belonging to reserved category) . Subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted
Or
B.Sc degree from a recognized institute with at least 60% marks or equivalent and XIIth with Mathematics as a subject.
For Migration from Other Universities:
1) B.E./B.Tech Ist year minimum 60% marks or 6.0 CGPA on a 10 point scale
2) 65% PCM or above at XII level.
CORE MODULES
| Computer Programming and Problem Solving & Lab | Introduction to Open Source Software & Open Standards |
| Web Programming thru PHP & HTML & Lab | Computer Organization and Architecture & Lab |
| Data Structures using C & Lab | Database Management System & Lab |
| Data Communication & Computer Networks & Lab | Dynamic Paradigm in Telecom Informatics 1 |
| Fundamentals of Telecom Business | Electronic devices and circuits & Lab |
| Oops Through Java & Lab | Theory of Automata and Formal Languages & Lab |
| Operating System & Lab | Dynamic Paradigm in Telecom Informatics 2 |
| Advanced concepts in Telecom business | Advance DBMS & Lab |
| Microprocessors and Micro Controllers & Lab | Computer Graphics |
| Design and Analysis of Algorithms & Lab | Data Compression |
| Dynamic Paradigm in Telecom Informatics 3 | Global Telecom Policies & Trends |
| Business Intelligence & Lab | Software Engineering & Project Management |
| Enterprise Java & Lab | Storage Technology Foundation |
| Distributed Computing & Lab | Principles of programming languages & Lab |
| Industrial Visit | Multimedia System* |
| Dynamic Paradigm in Telecom Informatics 4 | Mobile communication standards |
| Mobile communication network design & Lab | Wireless Ad-hoc networks & Lab |
| Entrepreneurship Development | Minor Project Work -1 |
| Web Technology & Lab | E-Commerce* |
| Compiler Design | Comprehensive Examination |
| Digital Image Processing* | IT in Forensic Science |
| ERP* | Bioinformatics* |
| Software Quality Engineering* | Artificial Intelligence |
| Operations Support System (OSS) | Real Time Operating system internals |
| Machine to Machine Communication | Mobile Apps using Android & Lab |
| Minor Project Work -2 | Industrial Internship |
| Real Time Systems* | Information Technology Infrastructure And Its Management* |
| Pattern Recognition* | Wireless and Mobile Communication* |
| Telecom Analytics | Business Support System |
| Major Project Work |
* IBM specialized subjects are marked with red color.
Fee Structure
| Duration | 4 years |
| Annual Fees | 1,70,000 |
| Exam Fee | 10,000 |
Career Prospects
Opportunities exist as Machine Learning Engineer, Data Scientist - Machine Learning Research Engineer - Artificial Intelligence, Big Data & AI Architect, Big Data & AI Consultant, and Robotics Professional.
