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B.Tech. | Computer Science and Engineering (CSE)

A 4-year undergraduate programme that focuses on the design, development, and maintenance of computer systems and software.

Duration

4 Years (8 Semesters)

Programme type

Full-time

Programme Regulations

Programme Structure 2023

Eligibility Criteria

Candidate should have passed the 2nd PUC/12th/Equivalent Exam with a minimum of 45% of marks in Physics and Mathematics along with Chemistry/ Computer Science/Electronics/Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship. (40% for Karnataka reserved category candidates) from a recognized board. Candidates must also qualify in one of the following entrance exams: CET/ COMED-K/JEE/Other state entrance tests /National level entrance test
OR
Passed D.Voc stream in the same or allied sector.

Key Features

  • One of the most sought-after engineering branches, Computer Science Engineering encompasses both Computer Engineering and Computer Science. Designed for the tech-savvy, students learn a range of fundamental topics such as networking, programming, software development, and testing.
  • CMR University’s Computer Science Engineering courses bridge the software and hardware aspects of computers, ensuring that students delve deep into these areas and gain proficiency in system software, programming languages, and domains such as cloud computing, artificial intelligence, machine learning, the Internet of Things, data analytics, and big data.
  • Automation is another key focus area of the programme. Under CMR’s expert faculty guidance, students can pursue successful careers as software engineers, programmers, data scientists, hardware engineers, and researchers. With computer science skills in high demand both in India and globally, career opportunities are extensive. Practical knowledge is highly valued, and with CMR University’s state-of-the-art laboratories, students gain industry-aligned practical experience and exposure.

Scope and Objective

  • 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 get to learn the various underlying important aspects such as networking, programming, software development, and testing.
  • CMR University’s computer science engineering courses are designed as a bridge between both software and hardware of computers, thereby ensuring that students get to delve deep into these aspects and are equipped with system software, programming languages; and domains such as 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. With CMR’s expert faculty guidance, students get to successfully take up careers as software engineers, programmers, data scientists, hardware engineers and also in research.With computer science skills being in huge demand, both in India as well as globally, the career options are immense. Importantly, practical knowledge is highly sought after, and with CMR University’s state of the art laboratories, students are fully integrated into the industry scheme of things as far as practical knowledge and exposure are concerned.

Programme Structure

The computer science syllabus for each semester is as given below:

The computer science program at CMR University is ranked highly and is often compared to the top computer science engineering colleges in Karnataka.
  • Math
  • Physics
  • Element of Electrical Engineering
  • Element of Civil Engineering
  • CAED
  • Common Core
  • Math
  • Chemistry
  • Element of Electrical Engineering
  • Element of Mechanical & workshop
  • Element of Computer Engineering
  • Problem solving using Programming
  • Common Core
  • Mathematics 3
  • Discrete Mathematical Structures
  • Data Structures Using C
  • Digital Logic Design
  • Programming using Python(P2)
  • Common Core
  • Mathematics 4
  • Computer Architecture with ALP
  • Database Management Systems
  • Theory of Computation
  • Object Oriented Programming with Java (P3)
  • Common Core
  • Software Engg
  • Operating Systems
  • Data Communication
  • Design and Analysis of Algorithms
  • Open Elective I
  • Professional Elective I
  • Interdisciplinary Elective I
  • Common Core
  • Machine Learning
  • Cyber Security
  • Web Programming
  • Computer Networks
  • Open Elective 2
  • Professional Elective II
  • Interdisciplinary Elective II
  • Common Core
  • Natural Language Processing
  • Network Security
  • Mobile Application Development
  • Telecommunications and WAN Security
  • Professional Elective III
  • Professional Elective IV
  • Interdisciplinary Elective III
  • Common Core
  • Project work
  • Industrial Internship
  • Discrete Mathematical Structures
  • Data Structures using C
  • Object Oriented Programming
  • Database Management Systems
  • Advanced Python (P4)
  • Engineering Statistics and Advanced linear algebra
  • R Language
  • Soft Computing (Fuzzy, Genetic, Ontologies)
  • Ethical Hacking
  • Cryptography
  • Information System Security
  • Secure Coding
  • Advanced
  • Object Oriented Analysis Design
  • Scripting Languages
  • Kotlin (OO+Functional)
  • Network programming
  • Network Administration
  • Python for Networking
  • Client-Server Technologies
  • Data Mining
  • Artificial Intelligence
  • Data Preprocessing and Analysis
  • Big Data (P5)
  • Machine Learning (P5)
  • Software Security
  • Web Security
  • Malware analysis
  • J2EE Technologies
  • .NET Technologies
  • Javascript
  • Full Stack (P5)
  • Advanced Computer Networks
  • Wireless Technologies
  • Multimedia Networking
  • Deep Learning
  • Computer Vision
  • Big Data & Data Analytics
  • Security in Mobile Computing
  • Digital Forensics
  • System Security
  • Web Technology Frameworks
  • Advanced JavaScript
  • Microservices Frameworks
  • Network Management
  • Storage Area Networks
  • Network Protocols
  • Web Technology
  • Mobile Application Development
  • Machine Learning
  • Cyber Security

Programme Assessment

  • Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
  • Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
  • Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
  • Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
  • Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
  • Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
  • Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE.
  • Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

  • Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialization 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 Modeling; 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 of, and 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 and in multidisciplinary environments.
  • Life–long learning: Recognize the need for, and have the preparation and ability to engage in independent and life–long learning in the broadest context of technological change.

What expertise will 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 Opportunity

  • Software Developer
  • Data Scientist
  • Web Developer
  • Machine Learning Engineer
  • Cybersecurity Analyst
  • Cloud Engineer
  • Artificial Intelligence Specialist
  • Game Developer
  • Systems Analyst
  • Network Engineer
  • Database Administrator
  • Network Administrator

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

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FAQs

Four years

Written test and interview

Candidate should have passed the 2nd PUC/12th/Equivalent Exam with a minimum of 45% of marks in Physics and Mathematics along with Chemistry/ Computer Science/Electronics/Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship. (40% for Karnataka reserved category candidates) from a recognized board. Candidates must also qualify in one of the following entrance exams: CET/ COMED-K/JEE/Other state entrance tests /National level entrance test

OR

Passed D.Voc stream in the same or allied sector.

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.

Want to know more about CMRU?

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