B.Tech in Computer Science and Technology | Best College for B.Tech in Computer Science and Technology

B.Tech. | Computer Science and Technology
With specialization in Artificial Intelligence & Machine Learning, Internet of Things

At the end of the programme, the student:

Should be able to apply the concepts of basic science, engineering fundamentals, and Computer Science and Engineering to provide computer-aided solutions for complex engineering problems.
Should be able to apply technical knowledge to develop, test, and maintain software and hardware tools to meet the automation needs of industry and society.
Should have the capability to analyse, comprehend, design, and develop computer applications for a variety of engineering problems, thus demonstrating professional ethics and concern for societal well-being.

duration

4 Years

Programme type

Full time

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..

Who can apply? Aspirants who want to pursue a career in Software Engineering, Networking, and Web development can pursue this course after high school at our top-rated computer engineering college in Bangalore.

Key Features

Engineering knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and Computer Science and Engineering to solve complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyse complex problems in Computer Science and Engineering, reaching substantiated conclusions using fundamental principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design computer-based solutions for complex engineering problems and create system components or processes that meet specified needs, considering public health, safety, and cultural, societal, and environmental factors.
Conduct investigations of complex problems: Use research-based knowledge and methods, including experiment design, data analysis, interpretation, and synthesis, to provide valid conclusions.
Modern tool usage: Select, create, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, for complex engineering activities with an understanding of their limitations.
The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues, and understand the responsibilities relevant to professional engineering practice.
Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of and commitment to sustainable development.
Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and standards in engineering practice.
Individual and team work: Work effectively as an individual and as a member or leader in diverse teams and multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with both the engineering community and society at large, including comprehending and writing effective reports, producing design documentation, making presentations, and giving and receiving clear instructions.
Project management and finance: Demonstrate knowledge and understanding of engineering and management principles, and apply them to manage projects as a member and leader in a team, especially in multidisciplinary environments.
Life-long learning: Recognise the need for and demonstrate readiness and ability to engage in independent, life-long learning within the broadest context of technological change.

Scope and Objective

CMR University’s Computer Science & Technology courses are designed to respond to the vibrant progress in Information to Intelligence Technology. As one of the best universities in Bangalore for computer science, our program focuses on theoretical and application development to equip students, to acquire skills and competencies, to envision products and make them a reality. It includes Computer Engineering applications framework and entrepreneurship, making it one of the leading computer science colleges in Bangalore. Students acquire competencies in critical thinking, problem exploration, and problem solving with a focus on ‘Project based learning’.

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

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, aligning with standards at the best colleges for computer engineering.
Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester, ensuring that assessments meet the expectations of the best computer engineering schools. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry an equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.

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 AI ML Course Outcomes

What expertise will you gain?

Artificial Intelligence and Neural Networks

Machine Learning Algorithms and Applications

Internet of Things (IoT) Architecture and Protocols

Data Science and Big Data Analytics

Embedded Systems and IoT Hardware Integration

Natural Language Processing (NLP)

Cloud Computing for IoT and AI

Computer Vision and Image Processing

Cybersecurity for IoT and AI Systems

Real-Time Data Processing and Analytics

Career Opportunity

Software Developer
Database Administrator
Web Developer
Computer Programmer
Network Administrator
System Analyst

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

Selection
Process

Candidates are shortlisted after completion of document verification, interview & the CMRUAT entrance exam.

Step 3

Offer
Letter

Provision of Offer Letter to commence further process.

Apply now