B.Tech. Computer Science & Engineering (CSE)

Code the Future Innovate in the World of Computing

    OVERVIEW

    The Computer Science and Engineering programme at KRMU prepares students to embark on an exhilarating journey to explore the realms of computing and technology. B.Tech. Computer Science & Engineering programme at KRMU is meticulously designed to fuse the foundational principles of computer science with the latest innovations in technology and engineering. It covers a broad spectrum of subjects including programming languages, data structures, algorithms, software development, artificial intelligence, and network security. The comprehensive curriculum consists of various computer science engineering courses, ensuring students gain insight of both theoretical and practical knowledge.

    B.Sc.( HONS. WITH RESEARCH ) PHYSICS

    Programme Highlights

    • B Tech Computer Science and Engineering curriculum is specifically designed in consultation with industry insiders and experts
    • Industry Aligned Curriculum that covers both foundational knowledge and cutting-edge technologies.
    • Consistent mentoring by acclaimed academicians and top industry experts
    • Futuristic Engineering Kitchen and Research Units
    • Highly sophisticated laboratories equipped with cutting-edge tech apparatus and softwares
    • Ensuring absolute preparedness for successful career progression
    • Internship and Placement opportunities in leading companies.
    • 600 + Journal articles in Scopus and WoS, 100+ Published Patents and highly research driven infrastructure.
    • Entrepreneurship and Incubation Center and Design Thinking Lab, designed to nurture innovative startup ideas
    • Global Exposure: International paid visit to attend 2 weeks summer school at a Prestigious European university

    Why choose SOET?

    Inspiring Excellence Through Experienced Guidance

    Inspiring Excellence Through Experienced Guidance:

    Professionally qualified, competent, and committed teaching faculty.

    Pioneering Education Fused with Global Insights

    Pioneering Education Fused with Global Insights:

    Experience a cutting-edge curriculum meticulously crafted by integrating the best practices from top global universities and the rich knowledge resources of the Open-Source Society University.

    Learning Beyond Books_ Real-world Application Matters

    Learning Beyond Books: Real-world Application Matters:

    Emphasis on hand-on training, project-based learning, field projects, research projects, internships, Competitive Coding, continuous and comprehensive evaluation.

    Empowering Futures_ Real Industry Experience, Every Step

    Empowering Futures: Real Industry Experience, Every Step:

    Opportunity for Industrial Project/R&D Project/Start-up Project in final year. Compulsory industry internship for all students

    Nurturing Tomorrow's Career Trailblazers

    Nurturing Tomorrow’s Career Trailblazers:

    Focus on career progression through training, placements, foreign internships, preparation for higher studies.

    Enriching Education_ Beyond the Standard Syllabus

    Enriching Education: Beyond the Standard Syllabus:

    Access to certification courses, ability & skill development programs, value-added courses besides core curriculum.

    Unveiling the Pillars of

    Technological Mastery

    We have developed a curriculum as dynamic as the digital landscapes our graduates will navigate. The course structure is a fusion of fundamental computer science theories and the latest technological innovations, ensuring a comprehensive and forward-thinking educational experience.

    B.Tech. CSE Syllabus: Programme Structure

    Semester 1
    Semester 2
    • Engineering Calculus
    • Engineering Physics / Engineering Chemistry
    • Basics of Electrical & Electronics Engineering
    • Fundamentals of Computer Programming
    • Engineering Physics Lab/ Engineering Chemistry Lab
    • Basics of Electrical & Electronics Engineering Lab
    • Fundamentals of Computer Programming Lab
    • Value-Added Course
    • Linear Algebra and Ordinary Differential Equations
    • Object Oriented Programming using C++
    • Engineering Chemistry / Engineering Physics
    • Engineering Drawing & Workshop Lab
    • Object Oriented Programming using C++ Lab
    • Engineering Chemistry Lab / Engineering Physics Lab
    • Open Elective
    • Value-Added Course
    • Minor Project
    • Summer Internship
    Semester 3
    Semester 4
    • Java Programming
    • Discrete Mathematics
    • Data Structures
    • Java Programming Lab
    • Data Structures Lab
    • Fundamentals of AI & Machine Learning
    • Life Skills for Professionals-I
    • Open Elective
    • Value-Added Course
    • Evaluation of Summer Internship
    • Probability and Statistics
    • Web Programming with Python and JavaScript Lab
    • Analysis and Design of Algorithms
    • Database Management Systems
    • Database Management Systems Lab
    • Analysis and Design of Algorithms Lab
    • Life Skills for Professionals-II
    • Open Elective
    • Value-Added Course
    • Minor Project
    • Summer Internship
    Semester 5
    Semester 6
    • Theory of Computation
    • Operating Systems
    • Operating System Lab
    • Discipline Specific Elective-I
      • Secure Coding and Vulnerabilities OR
      • Cyber Crime Investigation & Digital Forensics OR
      • AI in Cyber Security OR
      • Social Media Security
    • Discipline Specific Elective-I lab
      • Secure Coding and Vulnerabilities Lab OR
      • Cyber Crime Investigation & Digital Forensics Lab OR
      • AI in Cyber Security Lab OR
      • Social Media Security Lab
    • Software Engineering
    • Life Skills for Professionals-III
    • Evaluation of Summer Internship
    • Computer Organization & Architecture
    • Computer Networks
    • Introduction of Neural Network and Deep Learning
    • Computer Networks Lab
    • Competitive Coding Lab
    • Introduction to Neural Networks & Deep Learning Lab
    • Discipline Specific Elective-II
      • Natural Language Processing OR
      • Image Processing & Computer Vision OR
      • Introduction to Generative AI OR
      • Transfer Learning
    • Discipline Specific Elective-II Lab
      • Natural Language Processing Lab OR
      • Image Processing & Computer Vision Lab OR
      • Generative AI Lab OR
      • Transfer Learning Lab
    • Minor Project
    Semester 7
    Semester 8
    • Discipline Specific Elective-III
      • Computational Services in The Cloud OR
      • Microsoft Azure Cloud Fundamentals OR
      • Storage and Databases on Cloud OR
      • Application Development and DevOps on Cloud
    • Discipline Specific Elective-IV
      • Mobile Application Development using iOS OR
      • DevOps & Automation OR
      • .Net FRAMEWORK OR
      • New Age Programming Languages
    • Discipline Elective-III Lab
      • Computational Services in The Cloud Lab OR
      • Microsoft Azure Cloud Fundamentals Lab OR
      • Storage and Databases on Cloud Lab OR
      • Application Development and DevOps on Cloud Lab
    • Discipline Specific Elective-IV Lab
      • Mobile Application Development using iOS Lab OR
      • DevOps & Automation Lab OR
      • .Net FRAMEWORK Lab OR
      • New Age Programming Languages Lab
    • Minor Project

    *Student has the option to pursue Full Time Internship from Industry in lieu of subjects in 7th semester

    • Industrial Project/R&D Project/Start-up Project

    Connecting Talent to Dream Careers

    At KRMU, we take pride in partnering with a prestigious array of companies and organisations such as Infosys, TCS, Wipro, Tata Consultancy Service, and Accenture, which actively engage in our campus recruitment initiatives for the B.Tech CSE programme.

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    Campus Recruiters
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    Placement Assistance
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    Highest Package

    Career Options after B.Tech. CSE

    Our B.Tech. in Computer Science and Engineering programme opens the door to a wide array of exciting career opportunities in the tech industry. Graduates from this programme are well-equipped with the knowledge and skills to excel in various dynamic fields. Below, we highlight five key career paths, while noting that there are many other thrilling opportunities available:

    • Software Developer: Master the art of designing and building software, creating innovative applications and systems.
    • Data Scientist: Drive progress by analyzing complex data sets to inform decision-making and strategic planning.
    • AI/ML Engineer: Lead the charge in artificial intelligence and machine learning, developing cutting-edge technologies that shape the future.
    • IT Consultant: Provide expert advice and solutions in various IT domains, helping businesses leverage technology for growth and efficiency.

    Hear straight from our Students

    Aahan Triksha

    I consider myself extremely fortunate to have chosen to pursue a B.Tech in Computer Science and Engineering at K.R. Mangalam University for my academic career. This programme not only provided me with a solid foundation in computer science, but also a holistic learning experience that went beyond textbooks and classrooms.

    Harsh

    K.R. Mangalam University has an outstanding faculty. Their extensive knowledge, industry experience, and enthusiasm for teaching all contribute to an engaging and stimulating learning environment. They are mentors who guide us through difficult concepts, encourage critical thinking, and inspire us to explore beyond the curriculum.

    Rahul

    One of K.R. Mangalam University's distinguishing features is its cutting-edge infrastructure. My learning experience has been significantly enhanced by the well-equipped labs, modern classrooms, and access to cutting-edge technology.

    Richard

    As my B.Tech journey comes to an end, I am confident that the skills, knowledge, and experiences I gained at K.R. Mangalam University will serve as a solid foundation for my future endeavours. I am grateful for the stimulating learning environment and the university's assistance in moulding me into a well-rounded and competent professional in the field of Computer Science and Engineering.

    Programme Outcomes

    • Engineering knowledge:

      Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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    • Problem analysis

      Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

      02

    • 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.

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