Course Overview
“Empowering Innovation through Intelligent Computing.”
The B.E. in Computer Science Engineering at RTU Bengaluru is a 4-year undergraduate program that provides students with a strong foundation in computer science principles, programming languages, algorithms, and software development methodologies.
Our curriculum is designed in collaboration with industry experts to ensure that graduates are equipped with the latest skills and knowledge required in the rapidly evolving tech industry.
The program emphasizes both theoretical concepts and practical applications, with state-of-the-art laboratories, industry internships, and project-based learning to provide a holistic educational experience.
Program Highlights:
- UGC approved curriculum with focus on emerging technologies
- Industry-aligned specializations in AI & Machine Learning, Data Science, and Cloud Computing
- Dedicated placement cell with excellent track record
- Modern infrastructure with advanced computing labs
- Opportunities for research and innovation
Specialization
AI & Machine Learning
AI and Machine Learning are interrelated fields that enable machines to learn from data, make decisions, and improve over time without explicit programming, with AI focusing on creating intelligent systems and Machine Learning focusing on algorithms that learn from and adapt to data.
Data Science
Data Science is the interdisciplinary field that uses statistical methods, algorithms, and machine learning techniques to analyze and interpret complex data, helping to uncover insights and inform decision-making.
Cloud Computing
Cloud Computing is the delivery of computing services—such as storage, processing power, and software—over the internet, allowing users and organizations to access and manage resources remotely, without the need for on-premises infrastructure.
Program Features
Explore the key features that make our Computer Science Engineering program stand out
Industry-Relevant Curriculum
Our curriculum is regularly updated with inputs from industry experts to ensure relevance to current technological trends and market demands.
Advanced Laboratories
Access to state-of-the-art computing labs, networking facilities, and specialized labs for AI, IoT, and cloud computing.
Expert Faculty
Learn from experienced faculty members with strong academic backgrounds and industry experience in various domains of computer science.
Internship Opportunities
Mandatory internships with leading tech companies to gain practical experience and industry exposure before graduation.
Project-Based Learning
Emphasis on hands-on projects throughout the program to develop problem-solving skills and practical knowledge.
Global Exposure
Opportunities for international exchange programs, global certifications, and participation in international competitions.
Faculty
Dr. Srinivas Mishra
Associate Professor & Head of Department
M.Tech (P.hD)
Specialization: Computer Science and Engineering
Mr. Iranna Amargol
Assistant Professor
M.Tech (P.hD)
Specialization: Computer Science and Engineering
Mr. Vishnu Priya
Assistant professor
Master in Engineering
Specialization: Computer Science and Engineering
Rupam Sarmah
Assistant professor
M.Tech
Specialization: Computer Science and Engineering
Nayeem Akhtar Sholapur
Assistant professor
M.Tech
Specialization: Computer Science and Engineering
Curriculum
Our comprehensive curriculum is designed to provide a strong foundation in computer science principles while keeping pace with emerging technologies
First Year Curriculum
Semester 1
- Engineering Mathematics I
- Physics for Computer Science
- Basic Electrical Engineering
- Programming in C
- Engineering Graphics
- Professional Communication
Semester 2
- Engineering Mathematics II
- Chemistry for Computer Science
- Basic Electronics
- Object-Oriented Programming using C++
- Data Structures
- Environmental Studies
Second Year Curriculum
Semester 3
- Engineering Mathematics III
- Digital Logic Design
- Computer Organization and Architecture
- Database Management Systems
- Java Programming
- Discrete Mathematics
Semester 4
- Engineering Mathematics IV
- Design and Analysis of Algorithms
- Operating Systems
- Microprocessors and Microcontrollers
- Web Technologies
- Professional Ethics
Third Year Curriculum
Semester 5
- Computer Networks
- Software Engineering
- Theory of Computation
- Artificial Intelligence
- Elective I: Cloud Computing
- Mini Project
Semester 6
- Compiler Design
- Information Security
- Machine Learning
- Mobile Application Development
- Elective II: Internet of Things
- Industry Internship
Fourth Year Curriculum
Semester 7
- Big Data Analytics
- Distributed Systems
- Elective III: Deep Learning
- Elective IV: Blockchain Technology
- Project Phase I
Semester 8
- Elective V: Natural Language Processing
- Elective VI: Quantum Computing
- Project Phase II
- Seminar