Programme Overview

The B.Tech in Computer Science & Engineering (CSE) is a dynamic four-year program designed to transform students into industry-ready tech leaders. Combining core computing principles with cutting-edge domains like AI, cybersecurity, cloud computing, and full-stack development, this degree equips you with hands-on expertise in programming (Python, Java, C++), algorithms, and emerging technologies. Through real-world projects, hackathons, and internships, you’ll gain practical experience while mastering skills in machine learning, IoT, blockchain, and DevOps. Graduates unlock high-demand careers as software engineers, data scientists, cybersecurity analysts, or cloud architects, with strong placement support connecting you to top tech giants like Google, Microsoft, and AWS. Whether you aspire to innovate in AI, launch a startup, or solve global tech challenges, this program offers the perfect launchpad. Join us to code the future and become a pioneer in the digital revolution!

  • 4 Years

    Duration of programme

  • UG

    Level of Study

Key Highlights

Cutting-Edge Specializations (AI/ML, Cybersecurity, Cloud)
100% Placement Record with Top Tech Companies
Industry Projects & Google/Microsoft Internships
Future-Ready Skills in Blockchain, IoT & Data Science
Global Study Options & Research Opportunities

How will you benefit

CSE courses teach practical skills in programming, software, hardware, algorithms, and data structures.
A CSE degree offers diverse career opportunities in tech fields with strong job prospects and high earning potential.
CSE courses build problem-solving and critical thinking skills valuable across tech and many other industries.
CSE students are at the forefront of innovation, working on cutting-edge projects and driving technological advancements.

What will you study

Computer Programming

Mathematics

Data Structures and Algorithms

Computer Architecture

  • PO-1 - Engineering knowledge: Apply the knowledge of mathematics, science, engineering Fundamentals and an engineering specialization to the solution of complex engineering Problems.
  • PO-2 - 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.
  • PO-3 - 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.
  • PO-4 - Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO-5 - 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.
  • PO-6 - 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.
  • PO-7 - 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.
  • PO-8 - Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO-9 - Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO-10 - 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 and receive clear instructions.
  • PO-11 - 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.
  • PO-12 - 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.

  • PSO-1-Software Engineering Competence – Ability to analyze, design, and develop software solutions using modern programming paradigms and tools.
  • PSO-2-Algorithmic & Computational Thinking – Proficiency in applying algorithms, data structures, and mathematical foundations to solve computational problems.
  • PSO-3-System Design & Architecture – Skills to design, evaluate, and optimize computer systems, networks, and distributed computing architectures.
  • PSO-4-Data Science & Analytics – Competence in managing, processing, and interpreting large datasets using database systems, machine learning, and AI techniques.
  • PSO-5-Cybersecurity & Ethical Practices – Understanding of cybersecurity principles, cryptography, and ethical hacking for secure system development.
  • PSO-6-Artificial Intelligence & Machine Learning – Ability to develop intelligent systems using AI/ML models and frameworks.
  • PSO-7-Cloud Computing & DevOps – Knowledge of cloud platforms (AWS/Azure/GCP), virtualization, and CI/CD pipelines for scalable deployments.
  • PSO-8-Internet of Things (IoT) & Embedded Systems – Familiarity with IoT architectures, sensor networks, and embedded programming.
  • PSO-9-Professional Ethics & Societal Impact – Adherence to ethical, legal, and social responsibilities in computing practices.
  • PSO-10-Innovation & Research Aptitude – Capability to engage in research, publish technical papers, and contribute to open-source projects.

  • PEO-1-Technical Proficiency – Graduates will acquire strong theoretical and practical knowledge in core and emerging areas of CSE.
  • PEO-2-Industry-Ready Skills – Graduates will be employable in IT/software industries, with expertise in programming, cloud, AI, and cybersecurity.
  • PEO-3-Problem-Solving & Critical Thinking – Graduates will apply engineering principles to analyze and solve real-world computing challenges.
  • PEO-4-Higher Education & Research – Graduates will be prepared for advanced studies (M.Tech/MS/PhD) and research in cutting-edge technologies.
  • PEO-5-Entrepreneurship & Startups – Graduates will develop innovative solutions and entrepreneurial skills to establish tech startups.
  • PEO-6-Ethical & Social Responsibility – Graduates will follow ethical computing practices and contribute to societal welfare through technology.
  • PEO-7-Lifelong Learning & Adaptability – Graduates will continuously upgrade skills to keep pace with technological advancements.
  • PEO-8-Leadership & Teamwork – Graduates will demonstrate leadership, collaboration, and communication in multidisciplinary teams.
  • PEO-9-Global Competitiveness – Graduates will meet international standards and compete in global IT markets.
  • PEO-10-Sustainable & Inclusive Technology – Graduates will develop energy-efficient, accessible, and environmentally sustainable computing solutions.

Curriculum

  • Engineering Chemistry
  • Mathematics-I
  • Engineering Graphics
  • Basic Electrical Engineering
  • Basic Computer Engineering

  • Engineering Physics
  • Mathematics-II
  • Basic Mechanical
  • Engineering
  • Basic Civil & Engg
  • Mechanics Communication Skills

  • Mathematics-III
  • Discrete Structures
  • Digital System
  • Object Oriented programming & Methodology
  • Data structures

  • Energy & Environmental Engineering
  • Computer Organisation & Architecture
  • Analysis and Design of Algorithm
  • Software Engineering
  • Operating System

  • Data Communication
  • Theory of Computation
  • Data Base Management System
  • Computer Graphics & Multimedia
  • Core Java

  • Micro Processor and Interfacing
  • Principles of Programming Languages (PPL)
  • High End Programming (Elective)
  • Computer Networking
  • Advance computer Architecture ACA

  • Compiler Design
  • Distributed System
  • Cloud Computing
  • Information Storage & Management
  • Professional Elective-I

  • Compiler Design
  • Distributed System
  • Cloud Computing
  • Information Storage & Management
  • Professional Elective-I

  • Soft Computing
  • Web Engineering
  • Professional Elective-II
  • Open Elective-II

CAREERS AND EMPLOYABILITY

Software Development Engineer (SDE) / Full-Stack Developer
Data Scientist / Machine Learning Engineer
Cloud Solutions Architect / DevOps Engineer
AI Engineer / Robotics Specialist

ELIGIBILITY CRITERIA

Clearing HSC examinations with PCM or B.Sc. PCM or Diploma Engineering

12th in PCM with 45% (40% in case of SC/ST)

 

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