Computer Science Engineering

B.Tech in Computer Science & Engineering – Artificial Intelligence and Data Engineering


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
JGI Global Campus
Faculty of Engineering & Technology
45th km, NH - 209, Jakkasandra Post
Bangalore - Kanakapura Main Road
Ramanagara District - 562 112

+91 80 46650130
Admissions Office
JGI Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
About the program

The Artificial Intelligence & Data Engineering program focuses on providing students with the skills and knowledge needed to utilize trusted, AI-based, at-scale services (handling larger volumes) for business transformation and innovation.

The program offers additional data and platforms to enable faster and more reliable access to services. It also emphasizes operationalization, which helps students to overcome developmental delays that typically hinder AI (Artificial Intelligence) projects. The program enables students to benefit from all the core characteristics of a modern data & AI platform.

Why to take this course?

JAIN University in India has partnered with Futurense Technologies to provide students with early employment opportunities. Through an immersive learning model, students become Data Engineers in their second year, Machine Learning Engineers in their third year, and AI Engineers upon graduation. The program offers paid internships, mentorship from industry professionals, and the chance to study abroad. Additionally, the course integrates Harvard Business Publishing Certifications and emphasizes entrepreneurship, preparing students to become Technopreneurs. Students will receive a Conditional Letter of Intent from Futurense Technologies.

Program Specific Outcome

On completion of the Artificial Intelligence and Data Engineering program, students will possess the following program specific outcomes:

  • PSO 1: To design, develop and maintain the database systems by applying the learned skills of data warehousing and machine learning.
  • PSO 2: Ability to procure technical competency in programming, computer vision and data science skills to deliver profound solutions.

Duration of the program: 4 years

  • Electrical and Electronics for Computational Thinking
  • Computational Physics
  • Computational Mathematics
  • Mind Management and Human Values-I
  • Design Thinking and Complex Problem Solving
  • Computational Chemistry
  • PCL 1- Research and Entrepreneurship Project
  • Computer Organization and Architecture
  • Programming in Java
  • Communicative English
  • Introduction to Python Programming
  • Data Structure using Java
  • Design Analysis of algorithms
  • Mind Management and Human Values-II
  • Operating Systems
  • Project-I
  • Database Management Systems
  • Essentials of Big Data
  • Environmental Studies
  • Scala Programming
  • Data Exploration and Preparation
  • Advanced Python Programming
  • Causal Reasoning
  • Essentials of Data Warehousing and Data Mining
  • Elective -1
  • Open Elective -1
  • Project Centric Learning-2
  • Big Data Analytics
  • NoSQL Databases
  • Computer Networks
  • Biology for Engineers
  • Internship -1
  • Project -II
  • Fundamentals of Artificial Intelligence
  • Indian Constitution
  • Statistics and Exploratory Data Analytics
  • Cloud computing and Virtualization
  • Fundamentals of Machine Learning
  • Elective -2
  • Open Elective -2
  • Scientific Writing
  • Project Centric Learning-3
  • Numerical Optimization
  • Introduction to Natural Language Processing
  • Elective -3
  • Internship -2
  • Project -III
  • Computer Vision and Image Processing
  • Data Streaming and Analysis
  • Intellectual Property Rights
  • Essentials of Deep Learning
  • Elective -4
  • Open Elective -3
  • Open Elective -4
  • Elective -5
  • Project -IV
  • Internship -3
  • Research
Department Specific Electives
DSE Tracks Elective-I Elective-II Elective-III Elective-IV Elective-V
3rd Semester 5th Semester 6th Semester 7th Semester 7th Semester
Track - I Artificial Intelligence and its solutions Intelligent Systems Domain Specific AI  Designing AI solutions Recommender Systems Human Computer Interaction (HCI)
Track - II Data Modelling and Analysis Spreadsheet Modeling Data Visualization and Storytelling Data Centers Social Network Analytics Time Series Analysis
Track - III High Performance Computing Fundamentals of Cloud Computing Edge Computing DevOps Cloud Computing architecture Geographic Information Systems (GIS) and Applications
Computer Science and Engineering (Open Elective Baskets)
Sl. No Finance and Accounting Entrepreneurship and new venture creation Marketing and Management
1 Finance for non-finance professionals Entrepreneurship Theory and Practice Marketing Management
2 Wealth Management   Launching and managing an enterprise   Consumer Behavior
3 Indian Financial System Business Plan and Project Implementation Brand Management
4 Financial Reporting Sustainable Entrepreneurship Product Management
  • Data Engineer
  • Data Analyst
  • System Architect
  • System Designer
  • Programmer Analyst
  • Software Architect
  • Artificial Intelligence Researcher
  • AI Labs
  • Software Engineer
  • Software Tester
  • Business Analyst
  • Business Analytics and Data for Decision Making
  • Applied Data Science and Machine Learning
  • Business analytics for Managers using analytics tool

*Cost of certification will be paid by student on Actual basis