SVCE Bengaluru
SVCE Bengaluru
SRI VENKATESHWARA COLLEGE OF ENGINEERING AUTONOMOUS, BENGALURU
📢 MBA-Admissions Open for 2025 | Department of Electronics and Communication Engineering and Basic Science are organizing a five day workshop on "Basics of UAV" in association with Transista Technologies from 8th December to 12th December 2025.
cse-cy

COMPUTER SCIENCE AND ENGINEERING - ARTIFICIAL INTELLIGENCE

Overview

The Department of CSE-Artificial Intelligence is an undergraduate programme that provides the core concepts of Computer Science and Engineering along with focused courses on Artificial Intelligence. This programme is for students who want to acquire the ability to design intelligent solutions to problems in a variety of domains and business applications and fields such as Natural Language Processing, Text Mining, Robotics, Reasoning and Problem Solving. The four-year undergraduate curriculum prepares the students in Basic Sciences, Mathematical Foundations, Statistical Foundations, Machine Learning and Artificial Intelligence.




Program Highlights




Why Choose a Artificial Intelligence Career through SVCE?




Career Opportunities

CSE-AI graduates are equipped for a multitude of high-impact roles across domains:




To emerge as recognized department in Artificial Intelligence dedicated to excellence in education, research and ethical innovations producing visionary professionals and ground breaking solutions that drive responsible transformations across industries and society.

Mission 1
Deliver outcome-based Computer Science and AI education through a curriculum focused on core computational principles, advanced intelligent systems labs, and a project-centric pedagogy.


Mission 2
Promote interdisciplinary research and innovation in core algorithmic design, data science methodologies, and novel AI architectures, addressing complex real-world challenges across diverse engineering and scientific domains.


Mission 3
Collaborate with industry, government, and research institutions to enhance professional skills, foster tech-driven entrepreneurship, and ensure global employability in the development of intelligent software and computational systems.

Mission 4
Instill strong ethical values, social responsibility, and awareness of data governance and algorithmic bias to create trustworthy and responsible builders of future computational systems

Mission 5
Encourage critical thinking, curiosity, and lifelong learning to rapidly adapt to new programming paradigms, computational tools, and the exponential pace of technological advancements in CSE and AI.

PE01
Able to excel professionally by adapting the dynamic needs of future industry.


PE02
To excel in the software platforms by adapting new skills and technology.


PE03
To provide great exposure to artificial technologies emerging technology in new industry.


PE04
To explore the emerging technology in artificial intelligence technology by education, research, services needed by the society.

PSO 1
The ability to understand, analyze and demonstrate the knowledge of human cognition, Artificial Intelligence in terms of real world problems to meet the challenges of the future.

PSO 2
The ability to develop computational knowledge and project development skills using innovative tools and techniques to solve problems in the areas related to Artificial Intelligence.

Engineering Knowledge:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem Analysis:
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

Design/development of Solutions:
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

Conduct Investigations of Complex Problems:
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

Engineering Tool Usage:
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

The Engineer and The World:
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

Ethics:
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

Individual and Collaborative Team Work:
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

Communication:
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

Project Management and Finance:
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

Life-long Learning:
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

2nd Year 3rd Year 4th Year
3rd SEMESTER
Mathematics for Computer Science
Digital Design & Computer Organization
Operating Systems
Data Structures and Application
Data Structures Lab
ESC / ETC / PLC Object Oriented Programming with Java
Python Programming for Data Science
Data Analytics with R
Social Connect and Responsibility
Ability / Skill Enhancement Course Data Analytics with Excel
Project Management with GIT
Ethics and Public Policy for AI
PHP Programming
Mandatory (Non-credit): NSS / Physical Education (PE) / Yoga
4th SEMESTER
Analysis & Design of Algorithms
Artificial Intelligence
Database Management Systems
Analysis & Design of Algorithms Lab
Biology for Computer Engineers
Universal Human Values Course
ESC / ETC / PLC Discrete Mathematical Structures
Optimization Technique
Algorithmic Game Theory
Metric Spaces
Ability / Skill Enhancement Course Scala
MERN
MongoDB
Mandatory (Non-credit): NSS / Physical Education (PE) / Yoga
5th SEMESTER
Software Engineering & Project Management
Computer Networks
Theory of Computation
Data Visualization Laboratory
Mini Project or Extensive Survey Project
Research Methodology and IPR
Environmental Studies and E-waste Management
Professional Elective Course Computer Vision
Unix System Programming
Information Retrieval
Image and Video Processing
Mandatory (Non-credit): NSS / Physical Education (PE) / Yoga
6th SEMESTER
Microcontroller and Embedded Systems
Machine Learning
Machine Learning Lab
Professional Elective Course Blockchain Technology
Computer Vision
Project Phase I
Ability / Skill Enhancement Course Mobile Application Development with Flutter
UI / UX
Generative AI
DevOps
Open Elective Course Introduction to Data Structures
Fundamentals of Operating Systems
Mobile Application Development
Introduction to Artificial Intelligence
Mandatory (Non-credit): NSS / PE / Yoga / Indian Knowledge System
7th SEMESTER
Deep Learning
Natural Language Processing
Cryptography & Network Security
Professional Elective Course Scalable Data Systems
Parallel Computing
Data Engineering and MLOps
Big Data Analytics
Major Project Phase-II
Open Elective Course Introduction to DBMS
Introduction to Algorithms
Software Engineering
Big Data Analytics

The CSE-AI department collaborates with industry leaders and research organizations to offer projects in areas such as AI, robotics, cybersecurity, and cloud computing.

We provide:
• Skill labs for coding enhancement programs such as hackathons, debugging, and more.
• Incubation centers for tech startups.
• Research guidance provided to aim at SCI journal publication quality.

Key Research Areas

1. Programming and Software Development
• Programming in C, C++, Java, Python
• Agile and software lifecycle models
• Web and mobile app development

2. Computer Systems and Networks
• Operating systems (Windows, Linux)
• Embedded systems
• Cryptography and Network Security

3. Data Science and Artificial Intelligence
• Machine Learning
• Big Data Analysis
• Cloud Computing and applications

4. Theoretical Computer Science
• Automata, computation theory
• Cryptography
• Database and information retrieval

5. Emerging Technologies
• Natural Language Processing
• Deep Learning and Quantum Computing
• Human-Computer Interaction

Our Impact
Our department’s research outcomes are published in top-tier journals and presented globally. With cross-disciplinary and industry-aligned projects, we aim to solve real-world challenges through innovative computing solutions.

Collaborate with Us
We welcome collaborations with academic institutions, government bodies, and technology companies to develop solutions in next-gen computing.


See Our Events

Faculty

Dr Prathima V.R

Dr Prathima V.R

Professor & Head of the dept

Preeti M Handiwadi

Preeti M Handiwadi

Assistant Professor

Prathibha A

Prathibha A

Assistant Professor

Kalaiyamuthan K

Kalaiyamuthan.K

Assistant Professor

Dr Kannan S

Dr.Kannan.s

Associate Professor

Vimala Devi R

Vimala Devi R

Assistant Professor

Geetha

geetha

Assistant Professor

Placement

Student Image

Placement Testimonials

Equal Justice Works Fellow,
Center for Disability & Elder Law

Elisabeth Hieber has already made an impact in improving the lives of transgender, nonbinary, and gender non-conforming people.

Elisabeth Hieber
(LAW ’19)