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

B.Tech CSE 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.

I / II SEMESTER (PHYSICS CYCLE)

Math
Physics
Element of Electrical Engineering
Element of Civil Engineering
CAED
Common Core

I / II SEMESTER (CHEMISTRY CYCLE)

Math
Chemistry
Element of Electrical Engineering
Element of Mechanical & workshop
Element of Computer Engineering
Problem solving using Programming
Common Core

III SEMESTER

Mathematics 3
Discrete Mathematical Structures
Data Structures Using C
Digital Logic Design
Programming using Python(P2)
Common Core

IV SEMESTER

Mathematics 4
Computer Architecture with ALP
Database Management Systems
Theory of Computation
Object Oriented Programming with Java (P3)
Common Core

V SEMESTER

Software Engg
Operating Systems
Data Communication
Design and Analysis of Algorithms
Open Elective I
Professional Elective I
Interdisciplinary Elective I
Common Core

VI SEMESTER

Machine Learning
Cyber Security
Web Programming
Computer Networks
Open Elective 2
Professional Elective II
Interdisciplinary Elective II
Common Core

VII SEMESTER

Natural Language Processing
Network Security
Mobile Application Development
Telecommunications and WAN Security
Professional Elective III
Professional Elective IV
Interdisciplinary Elective III
Common Core

VIII SEMESTER

Project work
Industrial Internship

OPEN ELECTIVE I

Discrete Mathematical Structures
Data Structures using C
Object Oriented Programming
Database Management Systems

PROFESSIONAL ELECTIVE I

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

PROFESSIONAL ELECTIVE II

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

PROFESSIONAL ELECTIVE III & IV

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

OPEN ELECTIVE II

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.

Course Outcomes

B TECH (CSE) Course Outcomes

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.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

How to Apply?

Step 1

Application
Enquiry

On-call guidance with step-by-step expert instruction on how to complete the application form.

Step 2

Offer
Letter

Provision of Offer Letter to commence further process.

Apply now