Department of Computer Science Engineering
Department of Computer Science Engineering
Eligibility
Candidates should have completed 10+2 with Physics, Chemistry, and Mathematics from a recognized board.
Overview
The Computer Science Engineering (CSE) course equips students with in-depth knowledge of computer systems, programming, and modern technological solutions. The program focuses on foundational and advanced concepts in computing, artificial intelligence, and software development to prepare students for the ever-evolving IT industry.
Program Description
This course covers core subjects like programming languages, data structures, algorithms, computer networks, and emerging technologies like machine learning, cloud computing, and cybersecurity. Students gain hands-on experience in designing and developing software solutions for real-world challenges.
Awards and Accreditations
Upon successful completion, students receive a B.E/B.Tech degree in Computer Science Engineering, accredited by CHRIST IMPERIAL INSTITUTE OF MANAGEMENT AND SCIENCE.
Program code:
085
Course code :
4185
Course
Commencement : Sep 2024
Admissions Office
CHRIST IMPERIAL INSTITUTE OF MANAGEMENT AND SCIENCE
Ramasandra Main Rd, Kengri Hobli, Sulikere
Post - Ramasandra
Bengaluru, Karnataka, India - 560056
P : +91 9845632009 || P : +91 9845006824
Curriculum Structure
- Engineering Mathematics I
- Basic Electrical and Electronics Engineering
- Introduction to Programming
- Engineering Physics
- Communication Skills
- Engineering Mathematics II
- Data Structures and Algorithms
- Digital Logic Design
- Object-Oriented Programming
- Environmental Science
- Computer Architecture
- Operating Systems
- Database Management Systems
- Discrete Mathematics
- Software Engineering Principles
- Computer Networks
- Web Technologies
- Artificial Intelligence Basics
- Internet of Things (IoT) Fundamentals
- Open Elective
- Machine Learning Algorithms
- Mobile Application Development
- Cybersecurity Basics
- Internship / Industry Project
- Capstone Project
- Advanced Programming Techniques
- Cloud Computing
- Professional Practices in Computer Science Engineering
- Machine Learning
- Cloud Computing
- Cybersecurity
- Data Mining and Data Warehousing
- Elective-I
- Blockchain Technology
- Elective-II
- Elective-III
- Seminar on Future Trends in Computing
Course Highlights
- Training with cutting-edge programming tools and languages like Python, Java, and C++.
- Exposure to AI, IoT, and cloud platforms through workshops and projects.
- Collaboration with IT companies for internships and industry projects.
- Practical workshops on cybersecurity and ethical hacking.
Career Enhancement Programs
- Certifications in cloud computing, AI, and data analytics.
- Workshops on agile methodologies and software development life cycles.
- Training in UI/UX design and mobile app development.
Career Outcomes
Graduates can pursue the following roles:
- Software Developer
- Data Scientist
- Systems Analyst
- AI Engineer
- Network Administrator
- Cloud Solutions Architect