cmr.edu.in Bachelor of Technology | B.Tech. | CSE | Programmes at CMR University

Bachelor of Technology | B.Tech. | CSE

Scope & Objectives

One of the most sought-after engineering branches, Computer Science Engineering incorporates both computer engineering and computer science. Tailor-made for the tech-savvy, students learn the key aspects such as networking, programming, software development, and testing.

CMR University’s Computer Science Engineering courses are designed as a bridge between software and hardware components of computers, thereby ensuring that students delve deep into areas such as system software, programming languages, cloud computing, artificial intelligence, machine learning, the Internet of Things, data analytics, and big data.

Automation is also a key focus area of the programme. Under expert faculty guidance, students are prepared for careers as software engineers, programmers, data scientists, hardware engineers, and researchers.

With computer science skills in high demand both in India and globally, the career opportunities are immense. Practical knowledge is highly valued, and with CMR University’s state-of-the-art laboratories, students gain substantial industry exposure and practical insights.

Programme Structure

I / II Semester (Physics Cycle)
  • Engineering Mathematics with Python Lab I & II
  • Engineering Physics
  • Engineering Chemistry
  • Fundamentals of Electrical Engineering
  • Fundamentals of Electronics Engineering
  • Engineering Mechanics
  • Elements of Computer Engineering
  • Problem Solving using Python
  • Programming in C
  • Creating with AI
  • Design Thinking
  • Active Communication Languages
  • Community Service Program
III Semester
  •  Probability, Statistics and Numerical Methods
  • Object-Oriented Programming with Java  
  •  Data Structures
  • Computer Organization and Architecture
  • Software Engineering
  • Making with Electronics
  •  Career Preparedness
  •  Indian Constitution
  •  Community Service Program
  •  Internship
IV Semester
  •  Discrete Mathematics and Combinatorics
  • Operating Systems
  • Database Management Systems
  • Theory of Computation
  • Design and Analysis of Algorithms
  • Introduction to Philosophical Thoughts
  •  Career Preparedness
  •  Community Service Program
V Semester
  • Cloud Computing
  • Web Development using Python and Django
  • Data Communication and Computer Networks
  • Open Elective I
  • Professional Elective I
  • Interdisciplinary Elective I
  • Indian Traditions: Values and Critical Inquiry
  •  Disaster Management
  •  Training & Placement
  •  Internship
VI Semester
  • Artificial Intelligence
  • Python for Data Science
  • Mobile Application Development
  • Computer Networks
  • Open Elective II
  • Professional Elective II
  • Interdisciplinary Elective II
  • Environment and Sustainability
  • Contributing to Society
  • Training and Placement
VII Semester
  • Introduction to Machine Learning
  • Professional Elective III
  • Professional Elective IV
  • Interdisciplinary Elective III
  • Business Management for Engineers
  • Capstone Project Phase I
  • Internship
  • Training and Placement
VIII Semester
  • Capstone Project Phase – II
  • Industrial Internship

Open Elective I

  • Digital Image Processing
  • Fundamentals of Robotics and Applications
  • Remote Sensing and Applications

Professional Elective Specialisations
Data Science

  • Cyber Security
  • Application Development
  • Artificial Intelligence
  • Networking

Professional Elective I

  • Advanced Python for AI
  • Data Mining
  • R Language
  • Software Security
  • Secure Coding
  • Cryptography
  • Advanced Java
  • Scripting Languages
  • Kotlin (OO + Functional)
  • Introduction to DevOps and
  • Microservice Architecture
  • Human Computing Interface with IoT
  • Creative AI and No-code Automation

Professional Elective II

  • Soft Computing (Fuzzy, Genetic, Ontologies)
  • No-SQL Databases
  • Applied Machine Learning
  • System Security
  • Ethical Hacking
  • Malware Analysis
  • Object Oriented Analysis and Design
  • Web Technology Frameworks
  • Application Development using MERN Stack
  • Game Theory
  • Cyber Crime Management
  • Cyber Hub and Kali Linux

Professional Elective III & IV

  • Deep Learning
  • Computer Vision
  • Big Data and Data Analytics
  • Robotic Process Automation
  • Mobile Computing Security
  • Digital Forensics
  • Cloud Computing Security
  • Web Security
  • J2EE Technologies
  • .NET Technologies
  • Java Script
  • Microservices
  • Software Defined Networks
  • Storage Area Networks
  • Virtualisation & Cloud Computing
  • Network Administration
  • Image and Video Forensics
  • Introduction to Quantum Computing
  • Introduction to Blockchain Technologies

Open Elective II

  • Advanced Robotics: Integration of Control, Programming and AI
  • Geographic Information System & Applications
  • Advanced Digital Image Processing

Programme Assessment

  • Choice-Based Credit System (CBCS): Allows students to choose courses and earn credits based on performance.
  • Grades and GPA: Each course contributes to the SGPA and overall CGPA, measuring academic progress.
  • Prescribed Curriculum: Includes required courses, labs, and MOOCs (SWAYAM).
  • Auditing Courses: Students may audit additional courses for broader learning without grade pressure.
  • Evaluation System: Continuous Internal Evaluation (CIE) and Semester-End Examination (SEE), each contributing 50% to final marks.
  • Assessment Methods: Includes assignments, seminars, group discussions, presentations, projects, research work, mooc course completion, etc.
  • Makeup Examinations: Offered to students who fail SEE, allowing grade improvement.

Programme Outcome

  • Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialisation for solving complex engineering problems.
  • Design/Development of Solutions: Design solutions for complex Engineering problems and Design System Components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research–based knowledge and research methods including Design of Experiments, Analysis and Interpretation of data, and synthesis of information to provide valid conclusions.
  • Modern Tool usage: Create, select, and apply; appropriate techniques, resources, and modern engineering and IT tools including Prediction and Modelling to complex engineering activities with an understanding of the limitations.
  • The Engineer and Society: Apply, reasoning informed by the contextual knowledge to assess Societal, Health, Safety, Legal and Cultural issues and the consequent responsibilities relevant to the professional Engineering practice.
  • Environment and sustainability: Understand the impact of the professional Engineering solutions in Societal and Environmental contexts, and demonstrate the knowledge need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex Engineering activities with the Engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give & receive clear instructions.
  • Project Management and Finance: Demonstrate knowledge and understanding of the Engineering and Management principles and apply these to one’s own work, as a member and leader in a team, to manage projects in multidisciplinary environments.
  • Life–long learning: Recognise the need for, and have the preparation and ability to engage in independent and life–long learning in the broadest context of technological change.

Course Outcomes Visit

What Expertise Do You Gain
  • Programming Proficiency
  • Data Structures & Algorithms
  • Database Management
  • Software and Web Development
  • Embedded Systems
  • Artificial Intelligence & Machine Learning
  • Cloud Computing
  • Cybersecurity Fundamentals
  • Problem-Solving
  • Project Development
  • Programming Languages
  • Operating Systems
  • Algorithms and Data structures

 

Career Opportunities

  • 01
    Software Developer
  • 02
    Data Scientist
  • 03
    Web Developer
  • 04
    Machine Learning Engineer
  • 05
    Cybersecurity Analyst
  • 06
    Cloud Engineer
  • 07
    Artificial Intelligence Specialist
  • 08
    Game Developer
  • 09
    Systems Analyst
  • 10
    Network Engineer
  • 11
    Database Administrator
  • 12
    Network Administrator

Testimonials

I am proud to be a part of CMR University. I love that such a large area that gives students opportunities to explore. Apart from external beauty, CMR really shines through with its faculty and staff, as each and every one of them care about your progress and I found that the idea of mentors over a number of students sits ready to hear our suggestions and concerns. Importantly, being a part of SOET, I found the resources abundant and easily available to me. Apart from academics, the Office of Student Affairs provide us with abundant events and clubs that really help us to grow in our creative space and give us a place to show and hone our talents. Most importantly, the vision of CMRU inspires me to use the resources available to me to help me advance to a growing and positive future.

Noel Thomas

(2022 batch, CSE)

Opportunities don't happen, you create them" a quote that consists of only six words, yet conveys such a strong meaning. CMRU was an opportunity for me; an institution unlike others where I was taught so many new things, right from the get go. Be it the updated syllabus, the flexibility in choosing your credits, the helpful faculty, or even the inltiatives taken towards extra-curricular activities, CMRU is filled with opportunities. Use this opportunity to its fullest; use this opportunity to create more opportunities. If you really wish to achieve something great, use CMRU as a platform to aid you; nothing is Impossible.

Ali Abbas Takkar

(2018 batch, CSE)

FAQs

Four years

Written test and interview

10+2 with physics, chemistry, and mathematics as subjects and a minimum of 45% marks in 10+2. Other equivalent qualifications may also be considered.

Yes, it covers almost all areas of computing. CMR University, one of the top Computer Science Engineering colleges in Karnataka, is an excellent choice for the B.Tech. in CSE course. Our course includes modules on network security, data structures, mobile application development, data mining, big data, artificial intelligence, cryptography, digital forensics, and data analytics.

B.Tech. in CSE is one of the best courses available for securing a stable professional future. Study B.Tech. in CSE at one of the top private universities for Computer Science in Bangalore, CMR University. The software and IT industries are emerging fields with many innovations. An undergraduate course in Computer Science will help you build a strong career foundation.

The following are the major skills required to be a computer science engineer

  • Analytical skills
  • Creativity
  • Basics of machine learning
  • Web development knowledge
  • Programming skills
  • Critical thinking
  • Problem-solving skills
  • Data structures
  • Algorithms
  • Network security basics
  • Cryptography basics
  • Quick learning abilities.

 

The Job opportunities for Computer Science engineers include:

  • Software Developer
  • Computer Hardware Engineer
  • Web Developer
  • Computer Programmer
  • Game Developer
  • App Developer

The Department of CSE at CMR University offers facilities such as a Data Structures laboratory, labs for programming with Python, a lab for problem-solving programming, a Data Structures and Algorithms lab, a Java programming lab, and a Database Management Systems lab. Additionally, spacious classrooms are equipped with electronic infrastructure for audio-visual teaching aids, rapid prototyping labs, and a conference room for discussions.

Log in to the portal on our website, download the admission form, and fill it out. You can either submit the form in person at the college campus or submit it online after payment of the application fees. If you are shortlisted, you will receive a call for an interview.

Yes, Computer Science engineers are in high demand. With the growth of automation and AI technology, there is a significant need for Computer Science engineers to analyse big data and data analytics. This subject serves as the foundation for many subfields in engineering, creating substantial demand for Computer Science engineers.

Yes, at CMR University we have a dedicated placement cell that comprises experienced professionals from various fields of engineering to train the students to attend the placement interviews. We also help the students develop their soft skills and leadership skills from the first year through various modules.

Yes, the BTech course at CMR University provides students with practical training and internship opportunities as part of the curriculum.

ACCP AY(2025-26)