Courses aligned with emerging fields like AI, Data Science, and Software Development.
All programs are affiliated to Visvesvaraya Technological University (VTU), Belagavi, ensuring academic credibility and national recognition.
Practical projects, lab work, internships, and exposure to real-world technologies prepare students for modern engineering careers.
Experience a learning ecosystem that combines classroom theory with labs, projects, and innovation-driven activities to help students become confident engineers and problem solvers.
Students participate in technical clubs, hackathons, workshops, innovation challenges, and peer collaborations that enhance creativity, teamwork, and leadership.
The B.E in Computer Science & Engineering at ISBR College of Engineering and Technology is designed to build strong foundations in computing, software systems, and emerging technologies that drive the digital world.
Aligned with the curriculum of Visvesvaraya Technological University, the program blends theoretical knowledge with practical application, ensuring students gain hands-on experience through labs, coding projects, internships, and industry exposure.
Students develop expertise across multiple domains of computing, including:
Programming and software development
Algorithms and data structures
Cloud computing and distributed systems
Cybersecurity and ethical hacking
Artificial intelligence and data science
Full-stack web and application development
The program emphasizes problem-solving, innovation, and real-world application, preparing students to work in fast-paced technology environments.
This program prepares students to:
Design, develop, and deploy scalable software systems
Build modern applications using industry-standard tools and frameworks
Work with cloud platforms, APIs, and distributed architectures
Develop AI-powered and data-driven applications
Solve complex computational problems using efficient algorithms
Students gain extensive exposure through:
Coding labs and hackathons
Industry internships
Live project development
Technical workshops and certifications
The B.E in Electronics & Communication Engineering focuses on the design, development, and application of electronic systems and communication technologies that power modern industries.
The VTU-aligned curriculum ensures students gain a strong foundation in both electronics hardware and communication systems, along with exposure to emerging technologies like IoT and automation.
Students explore:
Analog and digital electronics
Embedded systems and microcontrollers
Communication systems and networks
Signal processing
VLSI design
Robotics and automation
The program combines theoretical learning with hands-on lab work, ensuring students understand real-world applications.
Students are trained to:
Design and analyze electronic circuits and systems
Develop embedded and IoT-based solutions
Work with communication technologies and networks
Build automation and robotics systems
Apply electronics in real-world industrial applications
Practical learning includes:
Circuit design labs
Embedded systems projects
Communication system simulations
Industry-oriented mini projects
The CSE – Artificial Intelligence & Machine Learning program is designed to equip students with the skills to build intelligent systems capable of learning, adapting, and making decisions.
With AI transforming industries globally, this program focuses on developing expertise in machine learning, deep learning, and intelligent automation systems.
Students gain exposure to:
Machine learning algorithms
Neural networks and deep learning
Natural language processing
Computer vision
Predictive analytics
AI applications across industries
The program emphasizes hands-on learning using real datasets and industry tools, preparing students for high-demand AI careers.
Students learn to:
Build AI models and predictive systems
Develop intelligent applications using machine learning
Analyze large datasets for decision-making
Implement automation using AI technologies
Solve real-world problems using data-driven approaches
Students gain experience through:
AI labs and projects
Industry datasets and case studies
Hackathons and competitions
Internship opportunities
The CSE – Data Science program focuses on extracting meaningful insights from data to support decision-making and innovation across industries.
Students are trained in data analytics, machine learning, and big data technologies, enabling them to work with complex datasets and solve business challenges.
Key learning areas include:
Statistical analysis and probability
Data analytics and visualization
Machine learning and predictive modeling
Big data technologies
Business intelligence systems
The program integrates technical knowledge with practical application, ensuring students are industry-ready.
Students develop the ability to:
Analyze and interpret large datasets
Build predictive and analytical models
Create data visualization dashboards
Use data-driven decision-making techniques
Apply analytics in business and technology domains
Hands-on learning includes:
Working with real datasets
Data analytics tools and platforms
Industry projects and case studies
The Software Engineering program focuses on the systematic design, development, and maintenance of software systems used across industries.
Students learn to build scalable, secure, and high-performance applications using modern development practices and tools.
Key areas include:
Software design and architecture
Web and mobile application development
DevOps and cloud technologies
Agile methodologies
Software testing and quality assurance
The program emphasizes practical development experience, preparing students for industry roles.
Students are trained to:
Design and develop enterprise-level applications
Apply Agile and DevOps practices
Build scalable and maintainable software systems
Implement testing and quality assurance
Manage the complete software development lifecycle
Practical exposure includes:
Real-world software projects
Version control and collaboration tools
Cloud-based deployments
Industry internships
The Artificial Intelligence & Machine Learning program focuses on building advanced intelligent systems capable of automation, prediction, and decision-making.
Students gain deep expertise in AI algorithms, neural networks, robotics, and intelligent systems, preparing them for next-generation technology careers.
Key areas include:
Deep learning and neural networks
Computer vision and NLP
Robotics and automation
Intelligent systems
AI applications in real-world domains
Students learn to:
Build AI-driven applications and systems
Develop deep learning models
Work on robotics and intelligent automation
Apply AI techniques to real-world challenges
Design smart systems for various industries
Hands-on learning includes:
AI labs and simulation tools
Real-world datasets
Capstone AI projects
Industry internships
