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Computer Science Engineering


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

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
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
080-46650130
About the program

B. Tech in Computer Science & Engineering (Artificial Intelligence and Machine Learning) will prepare students for the emerging and exponential technologies of Industry 4.0. Artificial Intelligence (AI) enables computers and machines to perform tasks that typically require human intelligence. Machine learning (ML) allows computers to acquire intelligence by using algorithmic models that learn from patterns in past experiences and act without being explicitly programmed for a specific task. AI and ML are among the most exciting technologies of Industry 4.0 and have become so pervasive today that we use them frequently in our daily lives without even realizing it.

Why to take this course?

The B.Tech - Computer Science and Engineering (Artificial Intelligence and Machine Learning) program prepares students for Industry 4.0 technologies. It integrates Futurense Technologies Industry 4.0 certifications in Machine Learning and follows a project-based learning approach, leading to internships and career opportunities with MNCs and startups in India and abroad. Machine learning is a key aspect of Industry 4.0, enabling computers to learn and act without explicit programming. The course offers a global study abroad option and integrates global certifications. The program offers internships from 2nd year, aligning with the university's vision of creating new-age Technopreneurs.

Furthermore, students enrolled in the this program have access to Futurense Online Courses in collaboration with Global Partners. These courses offer a diverse range of subjects including Emerging Tech, Programming, Tech Leadership, Project and Product Management. Moreover, students can expect to earn a minimum of four certificates from Global Partners each year, culminating in a total of 16 certificates over the span of four years.

Students in this program will be issued with a Conditional Letter of Intent (LOI)* from Futurense Technologies.

Program Specific Outcome

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

  • PSO 1: Become thoroughly conversant with the principles, algorithms, tools, and applications of supervised and unsupervised Machine Learning and Artificial Intelligence.
  • PSO 2: Imbibe the ability to apply Machine Learning, Deep Learning, Reinforcement Learning and Artificial Intelligence to build new-age products, services, and technologies.

Duration of the program: 4 years

Curriculum
  • Computational Physics
  • Computational Mathematics
  • Electrical and Electronics for Computational Thinking
  • Mind Management and Human Values-1
  • Design Thinking and Complex Problem Solving
  • Discrete Mathematics and Graph Theory
  • Computational Chemistry
  • Project Centric Learning
  • Computer Organization and Architecture
  • Programming practices using JAVA
  • Mind Management and Human Values-II
  • Data Structures using JAVA
  • Design and Analysis of Algorithms
  • Introduction to Python Programming
  • Operating Systems
  • Communicative English
  • Workshop Practices
  • Project -1
  • Foundations of Mathematics -1
  • Advanced Python Programming
  • Database Management Systems
  • Fundamentals of Artificial Intelligence
  • Mathematics and Statistics for Machine Learning
  • Causal Reasoning
  • Data Exploration and Preparation
  • Elective -1
  • Machine Learning
  • Numerical Optimization
  • Open Elective -1
  • Project Centric Learning
  • Foundations of Mathematics -2+
  • Web Dev and Apps for Data Science
  • Biology for Engineers
  • Computer Networks
  • Advanced Machine Learning
  • Time Series and Forecasting Techniques
  • Essentials of Data Warehousing and Data mining
  • Environmental Studies
  • Business Communication and Storytelling
  • Internship -1
  • Project -II
  • DevOps for AI
  • Essentials of Deep Learning
  • Indian Constitutions
  • Introduction to Natural Language Processing
  • Elective -2
  • Leadership and Negotiation skills
  • Open Elective -2
  • Project Centric Learning
  • Advanced Deep Learning
  • Research Methodology
  • Elective -3
  • Ethics and Values (CSR)
  • Internship -2
  • Internship - 2
  • Project -III
  • NoSQL Databases
  • Data Streaming and Analysis
  • Intellectual Property Rights
  • Computer Vision and Image Processing
  • 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
5th Semester 6th Semester 6th Semester 7th Semester 7th Semester
Track - I Internet of Things Reinforcement Learning Data Visualization and Storytelling Cloud and Distributed Computing ESG Analytics
Track - II Applications of AI Blockchain Technologies for Data Science Information Security Governance Introduction to Big Data Network Analytics 
Track - III Smart Contracts Geographic Information Systems (GIS) and Applications User Experience User Interface Design (UX &UI) Speech recognition and conversational systems Microservice Architecture
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
  • Software Engineer / Software Developer in AI /Machine Learning
  • AI / Machine Learning Engineer
  • AI / Machine Learning Specialist
  • Human-Centered Machine Learning Designer
  • NLP (Natural Language Processing) Engineer
  • Computer Vision Engineer
  • Automation Engineer
  • AI / Machine Learning Researcher
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Data Analyst
  • Microsoft Azure AI102/ DP100 Certification
  • Generative AI/Prompt Engineering Certification
Note-
  1. The university will cover the cost of global certification (only for two certifications) and it is limited to one attempt. If students fail to complete the first certification, the university will not cover the cost for the second certification attempt.
  2. In the event that the certification industry changes the name of the certification, the university reserves the right to modify the name of the certifications accordingly.
  3. The university retains the authority to adjust the certification name it offers in accordance with industry trends.

Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.

  • Amazon
  • Microsoft
  • Google
  • Udemy