Bachelor of Engineering in Computer Science

Artificial Intelligence & Data Science

Bachelor of Technology in Artificial Intelligence and Data Science (AI & DS), is a new engineering program aiming to create experts in the domain of data science. It enables the students to acquire technical skills to perform data processing, analysis and visualization in multiple real-time applications. The courses studied in this branch relate with methodologies, processes, techniques and tools drawn from different domains of computing and information science to extract knowledge from structured and unstructured data.

The concepts studied in AI & DS cover the applications of mathematical concepts for data handling, study of various methods followed for data handling and analysis, applications of data analysis in the domain of artificial intelligence.

The knowledge acquired could be applied in designing the software systems facilitating intelligent decisions in business applications. It is a specialized branch that deals with the development of data-driven solutions, data visualization tools and techniques to analyze big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems.

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  • SEMESTER 3
  • STATISTICS AND PROBABILITY THEORY
  • INTRODUCTION TO DATA STRUCTURES AND ALGORITHMS
  • COMPUTER ORGANIZATION AND ARCHITECTURE
  • PYTHON PROGRAMMING FOR DATA SCIENCE (PBL)
  • SOFTWARE ENGINEERING
  • INNOVATIONS AND DESIGN THINKING/ABILITY ENHANCEMENT COURSE – III
  • UNIVERSAL HUMAN VALUES
  • ENHANCING SELF COMPETENCE
  • SEMESTER 4
  • LINEAR ALGEBRA, STATISTICAL ANALYSIS & COMPUTING
  • INTRODUCTION TO DATA ANALYTICS AND VISUALIZATION
  • MACHINE LEARNING
  • DATABASE MANAGEMENT SYSTEMS
  • OPERATING SYSTEM
  • OBJECT ORIENTED PROGRAMMING
  • ABILITY ENHANCEMENT COURSE – III / INNOVATIONS AND DESIGN THINKING
  • UNIVERSAL HUMAN VALUE
  • SEMESTER 5
  • COMPUTER NETWORKS
  • PRINCIPLES OF ARTIFICIAL INTELLIGENCE
  • ARCHITECTURES FOR MANAGEMENT OF LARGE DATASETS
  • DATABASE MANAGEMENT SYSTEMS LABORATORY WITH MINI PROJECT
  • PROFESSIONAL ELECTIVE-I
  • OPEN ELECTIVE-1
  • EMPLOYABILITY SKILL DEVELOPMENT - I
  • ABILITY ENHANCEMENT COURSE – IV
  • SEMESTER 6
  • UI DESIGN / HCI
  • THEORY OF COMPUTATION
  • MATLAB/SCI-LAB FOR DATA SCIENCE
  • PROFESSIONAL ELECTIVE - II
  • PROFESSIONAL ELECTIVE -III
  • MANAGEMENT AND ENTREPRENEURSHIP
  • OPEN ELECTIVE - II
  • MINI PROJECT
  • EMPLOYABILITY SKILL DEVELOPMENT- II
  • SEMESTER 7
  • BIG DATA ANALYTICS
  • PROFESSIONAL ELECTIVE -IV
  • LAB ONLY COURSE – FULL STACK DEVELOPMENT
  • PROFESSIONAL ELECTIVE - V
  • ECONOMICS/FINANCIAL MANAGEMENT/OPEN ELECTIVE –III
  • (PREFERABLY MOOCS)
  • SEMESTER 8
  • TECHNICAL SEMINAR
  • MAJOR PROJECT /RESEARCH PROJECT/ INDUSTRY PROJECT
  • INTERNSHIP
  • PROFESSIONAL ELECTIVE COURSES
  • BUSINESS INTELLIGENCE
  • SOCIAL & WEB ANALYTICS
  • AUGMENTED REALITY
  • WEB TECHNOLOGIES FOR ADVANCED DATA VISUALIZATION
  • NATURE INSPIRED COMPUTING FOR DATA SCIENCE
  • ADVANCED JAVA PROGRAMMING
  • DEEP LEARNING
  • MULTI AGENT SYSTEMS
  • ADVANCED MACHINE LEARNING
  • OPTIMIZATION TECHNIQUES
  • DIGITAL IMAGE PROCESSING
  • BLOCKCHAIN TECHNOLOGY
  • NATURAL LANGUAGE PROCESSING
  • NEURAL NETWORKS ARCHITECTURES FOR DATA ANALYSIS
  • PARALLEL COMPUTING
  • CRYPTOGRAPHY AND NETWORK SECURITY
  • INTERNET OF THINGS
  • NOSQL DATA BASE COMPILER DESIGN
  • OPERATIONS AND SUPPLY CHAIN MANAGEMENT
  • SPEECH PROCESSING
  • SOFTWARE TESTING
  • INFORMATION RETRIEVAL
  • SOFT COMPUTING
  • ETHICS OF ARTIFICIAL INTELLIGENCE
  • SPRING BOOT
  • MULTIMEDIA COMPUTING
  • COMPUTER GRAPHICS
  • DATA SECURITY AND PRIVACY
  • ADVANCED ALGORITHMS
  • CLOUD COMPUTING
  • OBJECT ORIENTED MODELLING AND DESIGN
  • CYBER SECURITY
  • SIGNALS & SYSTEMS
  • MOBILE APPLICATIONS DEVELOPMENT
  • PATTERN RECOGNITION
  • AI AND ROBOTICS

Duration : 4 years (8 Semesters)

Intake : 60 Students

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