Program

B.Tech Computer Engineering (Artificial Intelligence & Machine Learning)

APPLY NOW

As businesses and organizations of every size seek a competitive edge, more and more are turning to artificial intelligence and machine learning. As AI and ML are used in more fields, understanding those fields will also be part of tailoring AI to the needs of the future. Studying AI requires a foundation in computer science and/or software engineering. For those looking to specialize in machine learning, knowledge of big data, physics, statistics and applied mathematics may also be valuable. They will learn Deep learning, Neural Networks, NLP, Fuzzy logic and other types of mathematics.

b.tech
  • Duration

    4 Years Full-Time Program

Eligibility

Eligibility Norms For Admission To B. Tech Programs The candidate seeking admission for B. Tech Program should have passed in Pre-University / Higher Secondary / 10+2 examination from an approved State / Central govt. board or from an international board like University of Cambridge "A" level certificate OR certificate from International Baccalaureate (IB), Geneva, etc., with 45% marks in Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Electronics / Computer as an additional subject, and with 60% aggregate of total marks in qualifying examination. Candidates should have appeared in any national / state level / Presidency University entrance examination viz. CET, Comed – K, JEE and such others.  

Eligibility Norms For Admission To B. Tech Programs (Lateral)  A candidate who has passed any diploma examination or equivalent examination and obtained a minimum of 60% aggregate is eligible for admission to B. Tech Programs (Lateral Entry). Candidate should have appeared in any state level entrance examination. 

Career

img
  • Artificial Intelligence engineer
  • Deep learning engineer
  • Big data engineer
  • Machine learning engineer

Curriculum

Sl. No. Category of Courses Descriptions of the Category
1 SCHOOL CORE All students of particular school have to compulsorily complete all the courses in this category
2 PROGRAM CORE All students of particular programme have to compulsorily complete all the courses in this category
3 DISCIPLINE ELECTIVE The students of the particular programme have a choice to pick up a set of courses from specialization baskets
4 OPEN ELECTIVE The students have choice to pick up the courses from across the University offering (across all schools) courses

Details For Courses

All students of particular school have to compulsorily complete all the courses in this category

Sl. No. Course Name
1 Calculus and Linear Algebra
2 Transform Techniques, Partial Differential Equations and their Applications
3 Applied Statistics
4 Numerical Methods for Engineers
5 Problem Solving using JAVA
6 Data Structures and Algorithms
7 Basic Engineering Sciences
8 Engineering Graphics
9 Innovation Project - Arduino using C
10 Innovation Project - Rasberry Pi using Python
11 Capstone Project
12 Internship
13 Elements of Electronics Engineering / Fundamentals of Electrical and Electronics Engineering
14 Material Physics / Optoelectronics and Device Physics
15 English and Foreign Languages (Foundations of English / Technical English / Advanced English / Basic Spanish / Basic French / Basic German / Proficiency in French)
16 Soft Skills Courses (Introduction to Soft Skills / Soft Skills for Engineers / Reasoning and Employment Skills / Being Corporate Ready / Problem Solving through Aptitude / Programming skills for employment)
17 Life Skills
18 Environmental Science
19 Co/ Extra-Curricular Basket (Student has to serve in atleast one club)

All students of particular programme have to compulsorily complete all the courses in this category

Sl. No. Course Name
1 Design and Analysis of Algorithms
2 Computer Organization and Architecture
3 Operating Systems
4 Data Communications and Computer Networks
5 Database Management Systems
6 Cloud Computing
7 Software Engineering
8 Data Handling and Visualization
9 Digital Design
10 Discrete Mathematical Structures
11 Theory of Computation
12 Artificial Intelligence and Machine Learning
13 Cryptography and Network Security
14 Fundamentals of Data Analytics
15 Reinforcement Learning
16 Neural Networks and Fuzzy Logic
17 Machine Learning Techniques
18 Deep Learning Techniques
19 Fundamentals of Natural Language Processing

The students of the particular programme have a choice to pick up a set of courses from specialization baskets

Artificial Intelligence and Machine Learning Basket

Sl. No. Course Name
1 Optimization Techniques for Machine Learning
2 Applied Artificial Intelligence
3 Time Series Analysis
4 Advanced Natural Language Processing
5 Autonomous Navigation and Vehicles
6 Digital Health and Imaging
7 Stochastic Decision Making
8 Business Intelligence and Analytics
9 Cognitive Science & Analytics
10 Expert Systems

Big Data Basket

Sl. No. Course Name
1 Data Mining
2 Domain Specifice Predictive Analytics
3 Data Warehousing and its Applications
4 NoSQL Databases
5 Big Data Technologies
6 Mining Masive Datasets
7 Web Intelligence and Analytics.
8 Streaming Data Analytics
9 Information Visualization
10 Big Data Security and Privacy.

Block Chain Basket

Sl. No. Course Name
1 Foundations of Blockchain Technology
2 Blockchain Technology and Applications
3 Smart Contract and Solidity
4 Blockchain for Public Sector
5 Cryptocurrency Technology
6 Distributed Ledger Technology
7 Emerging Areas in Blockchain
8 Industry Use Cases using Blockchain
9 Blockchain Security and Performance

Cyber Security Basket

Sl. No. Course Name
1 Cyber Forensics
2 Privacy and Security in Online Social Media
3 Ethical Hacking
4 Cyber Threats for IoT and Cloud
5 Intrusion Detection and Prevention
6 Cyber Security
7 Cyber Digital Twin
8 Web Security
9 Vulnerability Assessment and Penetration Testing
10 Digital and Mobile Forensics
11 Security Assessment and Testing
12 Digital Watermarking and Steganography
13 Malware Analysis

Data Science Basket

Sl. No. Course Name
1 Business Continuity and Risk Analysis
2 Statistical Foundations of Data Science
3 Web Data Analytics
4 R programming for Data Science
5 Predictive Analytics
6 Optimization for Data Science
7 Applied Data Science
8 Social Media Analytics
9 E-Business and Marketing Analytics
10 Text Mining and Analytics

DevOps Basket

Sl. No. Course Name
1 Agile Structures and Frameworks
2 Applied DevOps
3 Automated Test Management
4 Build and Release Management
5 Development Automation
6 DevOps Tool Internals
7 Software Project Management
8 System Monitoring
9 System Provisioning and Configuration Management

IoT Basket

Sl. No. Course Name
1 Introduction to Fog Computing
2 Big Data Analytics for IoT
3 Wireless Communication in IoT
4 Privacy and Security in IoT
5 Mobile Application for IoT
6 IoT Architecture and Protocols
7 IoT Platforms and Application Development
8 Industrial Internet of Things (IIoT)
9 Internet of Medical Things (IoMT)

General Basket

Sl. No. Course Name
1 Go Programming
2 Computer Graphics
3 Advanced Java Programming
4 Programming in C++
5 Advanced Database Management Systems
6 Introduction to Bioinformatics
7 Advanced Computer Networks
8 Computer Vision
9 Wireless Sensor Networks
10 Game Design and Development
11 Microprocessors and Microcontrollers
12 Mobile Application Development
13 Compiler Design
14 Parallel Computing
15 Quantum Computing
16 Digital Image Processing
17 Object Oriented Analysis and Design
18 Advanced Computer Architecture
19 Software Quality Assurance
20 Real Time Operating System
21 Information Theory and Coding
22 Software Architecture
23 5G Networking
24 Programming in C# and .NET
25 Distributed Systems

Cloud Computing Basket

Sl. No. Course Name
1 Edge Computing
2 Cloud Security
3 Data Center Design
4 Cloud Application Devlopment
5 Middleware Technologies

Information Science & Engineering Basket

Sl. No. Course Name
1 System Software
2 Information Retrieval
3 Enterprise Network Design
4 Operating System with Linux Internals
5 Pattern Recognition
6 Search Engine Optimization
7 Service Oriented Architecture 
8 E-Commerce

Information Science & Technology Basket

Sl. No. Course Name
1 Storage Area Networks
2 Information Syatem Audit
3 Web 2.0
4 Cloud Computing and Virtualization
5 Firewall and Internet Security
6 Mobile Networking
7 Information Security and Mangement
8 Human Computer Interaction
9 Infrastructure Management
10 Network Management Systems