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

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

+91 80 46650130

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
080-69279444

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.. 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.

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.

Enhance your B.Tech experience with the option to pursue a Minor Degree from IIITH and gain unique opportunities for academic and professional growth!

Key Highlights of the UG Minor Degree Program from IIITH:

Certificate Issuance:

Students will have the option to receive certificates from IIITH upon successful completion of each semester.
These certificates will be issued in three parts over the course of the program, recognizing incremental progress.

Minor Degree Recognition:

University has the discretion to award a minor degree to their students, utilizing the certificates issued by IIITH.
This option allows students to earn additional credentials and enhance their academic profile.

Research Internships:

Top performers in the Minor Program will be considered for research internships at IIITH.
These internships provide an excellent opportunity for students to gain hands-on experience and deepen their expertise in their field of study.

Note:

An additional cost is applicable for enrolling in the UG Minor Degree Program.
To earn the minor degree, students must earn an additional 20 credits on top of their regular credits as part of the curriculum.

Duration of the program: 4 years

Curriculum

I Semester

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

II Semester

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

III Semester

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

IV Semester

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

V Semester

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

VI Semester

Advanced Deep Learning
Research Methodology
Elective -3
Ethics and Values (CSR)
Internship -2
Internship - 2
Project -III

VII Semester

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

VIII Semester

Internship -3
Research

Department Specific Electives
DSE Tracks	Elective-I	Elective-II	Elective-III	Elective-IV	Elective-V
DSE Tracks	5^th Semester	6^th Semester	6^th Semester	7^th Semester	7^th 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-

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.
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.
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