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B.Tech. Computer Science & Engineering
Key Facts & Figures
Type
Bachelors
Degree
B.Tech. Computer Science & Engineering
Eligibility
Semester Fee
62,500 INR
Mode of study
Full-time
Medium of Instruction
English
Credit Points
160
Location
DAV University Campus
Start date
July-August

Examination fee: RS. 3000/- for each semester and is applicable to all courses).

Refundable Caution Money: Rs 5000/- in 1st Semester and is applicable to all courses.

One-time Alumni Registration Charges Rs. 2000/- ( Non - Refundable to be charged from every student in 1st year only

All Rights reserved by DAV University (Hike in fee up to 15 % every year is possible).

Explore the world of B.Tech. Computer Science & Engineering at DAV University, where innovation meets excellence. Our program equips students with the skills and knowledge needed to thrive in the dynamic field of computer science and technology. development.

B.Tech. Computer Science & Engineering

B.Tech. Computer Science & Engineering programme at DAV University provides a comprehensive understanding of theoretical concepts and practical applications. Through classroom lectures, hands-on projects, and industry internships, students are prepared for real-world challenges.

Eligibility

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology/Biology/Technical Vocational subject. An applicant should have secured at least 45% marks (40% marks in case of candidate belonging to SC/ST) in the above subjects taken together.

Why Computer Science & Engineering?

Versatility: Computer Science Engineering offers a wide range of career opportunities across various industries, including technology, finance, healthcare, entertainment, and more.

Innovation: It's a field that constantly pushes the boundaries of what's possible, allowing for continuous innovation and creativity.

High demand: With the increasing reliance on technology in virtually every aspect of modern life, there's a consistently high demand for skilled computer science engineers in the job market.

Problem-solving: Computer Science Engineering involves solving complex problems using logic, algorithms, and critical thinking skills, making it intellectually stimulating and rewarding.

Global relevance: In today's interconnected world, computer science is a global language, allowing professionals to work on projects and collaborate with individuals from diverse backgrounds worldwide.

Influence and impact: Computer science has the potential to positively impact society through the development of innovative technologies that address real-world problems, such as healthcare, environmental sustainability, and social equality.

Continuous learning: The field is dynamic and constantly evolving, offering opportunities for lifelong learning and professional growth.

Remote work opportunities: With the rise of remote work and distributed teams, computer science engineers have the flexibility to work from anywhere in the world with an internet connection.

Entrepreneurship: Computer science engineering provides a strong foundation for aspiring entrepreneurs to create and launch their tech startups, leveraging their technical skills to develop innovative products and services.

Career Opportunities: Graduates pursue careers in software development, data science, system analysis, cybersecurity, and more. They are in demand by top-tier companies and research institutions.

During Your Study

Current Curriculum: Our curriculum is updated regularly to align with industry trends and technological advancements. Students learn programming languages, algorithms, data structures, software engineering, artificial intelligence, machine learning, and more.

Experienced Faculty: Our faculty members bring industry experience and academic expertise to the classroom. They mentor students, fostering critical thinking and innovation.

Infrastructure: DAV University offers modern laboratories, computing facilities, and research centers equipped with the latest technologies. Students have access to resources for hands-on learning and experimentation.

Industry Collaboration: We collaborate with industry partners for projects, internships, and research. This exposure helps students gain practical insights and industry connections.

Holistic Development: Alongside technical skills, we emphasize soft skills, teamwork, and leadership. Students participate in workshops, seminars, and extracurricular activities for overall growth.

Courses
Semester I
  • Engineering Mathematics-I
  • Engineering Physics
  • Basic Electrical Engineering
  • Practical Fundamental of Electrical Engineering
  • Engineering Graphics and Design
  • Design Thinking and Idea Lab
  • Human Values and Ethics
  • Cambridge English-I
Semester II
  • Engineering Mathematics-II
  • Chemistry
  • Manufacturing Practice
  • Programming for Problem Solving
  • Programming for Problem Solving Laboratory
  • Environmental Studies
  • Cambridge English-II
Semester-III
  • Object Oriented Programming
  • Computer Organization
  • Data Structures
  • Digital Electronics
  • Discrete Mathematics
  • Community Engagement Course
Semester-IV
  • System Programming
  • Data Communication and Networking
  • Operating System Concepts
  • Database Management System
  • Engineering Mathematics-III
Semester-V
  • Cryptography and Network Security
  • Data Mining & Warehousing
  • Software Engineering
  • Algorithm Design & Analysis
  • Computer Graphics
  • Industrial Training
Semester-VI
  • Theory of Computation
  • Big Data Analytics
  • Python Programming
  • Digital Image Processing
  • Artificial Intelligence & Expert System
  • Program Elective-I
Semester-VII
  • Compiler Design
  • Distributed Systems
  • Natural Language Processing with Deep Learning
  • Open Elective-I
  • Industrial Training Report & Viva-Voce
  • Major Project
Semester-VIII
  • Information Security
  • Mobile Computing & Communication
  • Principles of Soft Computing
  • Program Elective-II
  • Open Elective-II
  • Seminar
  • Professional Communication
PROGRAM ELECTIVE-I
  • Software Project Management
  • New Age Technologies
  • Digitizing Industry Knowledge for Software Development
  • System Simulation & Modelling
  • MOOC Courses
PROGRAM ELECTIVE-II
  • Computer Vision
  • Bioinformatics
  • Optimization Techniques
  • Parallel computing
  • MOOC Courses

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