BTech in Computer Science Engineering
in partnership with HCL Technologies
Course Highlights
Project Based Curriculum
Hands-on Learning
Career Guidance & Placement
Certification from IBM & Other Industries
Job Opportunities in Primier Industries
Introduction
- The Bachelor of Technology (B.Tech.) in Computer Science Engineering (CSE) is a four-year undergraduate program designed to provide a strong foundation in computer systems, programming, algorithms, and emerging technologies. It equips students with the technical expertise and problem-solving skills required to design, develop, and manage software and hardware systems.
- The curriculum integrates theoretical knowledge with practical application through project-based learning, hands on labs, and industry internships. Students gain exposure to core areas such as operating systems, data structures, databases, networks, cybersecurity, artificial intelligence, and cloud computing.
- This program prepares graduates for a wide range of careers in software development, data science, artificial intelligence, cybersecurity, IT consulting, and research. It also lays a solid foundation for higher studies and entrepreneurship in the technology sector.
Eligibility
- Passed 10+2 examination with Physics, Mathematics, and one of the following subjects:
- Chemistry / Computer Science / Electronics / Information
Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational Subject / Agriculture /
Engineering Graphics / Business Studies / Entrepreneurship - Obtained at least 45% marks (40% for candidates belonging to reserved categories) in the above subjects taken together
OR - Passed D.Voc. stream in the same or allied sector.
- The university may offer suitable bridge courses such as Mathematics, Physics, Engineering Drawing, etc., for students coming from diverse backgrounds to ensure a level playing field and desired learning outcomes of the program
Note: Physics and Mathematics are mandatory subjects at the 10+2 level
Tuition Fees
Rs. 90,000.00 per Semester
* Fees such as Admission, Caution Money, Examination, Hostel, and Transport fees are extra
Duration
4 Years Full-Time (8 Semesters)
Program Details
Programming Fundamentals
Core concepts of programming using languages such as C, C++, Python, and Java to develop logical and algorithmic thinking
Database
Management Systems
Design, implementation, and querying of relational databases using SQL and understanding database architecture.
Software Engineering
Software development life cycle (SDLC), design models, testing strategies,
and project management
Web Development and Technologies
Front-end and back-end development using HTML, CSS, JavaScript, and
server-side frameworks
Object-Oriented
Programming (OOP)
Principles of encapsulation, inheritance, polymorphism, and abstraction
using languages like Java or C++
Computer
Architecture
Internal working of computers including memory, processors, instruction
sets, and system design
Cybersecurity
Fundamentals
Understanding the principles of securing networks, systems, and data
against vulnerabilities and threats
Cloud Computing and
Virtualization
Basics of distributed computing models, cloud service models, and
deployment strategies
Program Outcome
Engineering
Knowledge
Apply knowledge of mathematics, science, and engineering to solve complex computer science problems.
Problem
Analysis
Identify, formulate, research, and analyze computer science problems using fundamental principles.
Design/Development of Solutions
Design software systems, processes, or components to meet specified needs with appropriate consideration for public health, safety, and environment.
Conduct Investigations of Complex Problems
Use research-based knowledge and methods including design of experiments, analysis and interpretation of data, and synthesis of information.
Modern
Tool Usage
Create, select, and apply modern computing tools, techniques, and resources, including prediction and modeling, to solve CSE problems.
The Engineer
and Society
Apply reasoning to assess societal, legal, and cultural issues relevant to computer science practice.
Environment and Sustainability
Understand the impact of software solutions in societal and environmental contexts and demonstrate sustainable development knowledge.
Ethics
Apply ethical principles and commit to professional ethics and responsibilities in computing practices.
Individual and
Team Work
Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
Communication
Communicate effectively on complex software engineering activities with the professional community and with society at large.
Project Management
and Finance
Demonstrate knowledge and
understanding of engineering and
management principles and apply
them to one’s own work, as a
team member or leader
Life-long Learning
Recognize the need for and have
the preparation and ability to engage in independent, life-long learning in the context of technological changes.
Placement Opportunities
Software
Development
Roles: Software Engineer, Backend Developer, Full Stack Developer, App Developer
Web and Mobile Application Development
Roles: Web Developer, Frontend Engineer, Android/iOS Developer
Database and System Administration
Roles: Database Administrator (DBA), System Administrator
Cloud Computing
and DevOps
Roles: Cloud Engineer, DevOps Engineer, Site Reliability Engineer
Cybersecurity
Roles: Security Analyst, Penetration Tester, SOC Analyst
Data Science
and Analytics
Roles: Data Analyst, Business Analyst (for students who upskill in this domain)
Artificial Intelligence and Machine Learning
Roles: AI Engineer, ML Engineer (with specialization or upskilling)
Game Development
and AR/VR
Roles: Game Developer, Graphics Programmer, AR/VR Developer
Government &
Public Sector
Roles: Technical Officer, Network Engineer, Software Developer
Higher Studies
and Research
Opportunities for M.Tech, MS, MBA, or Ph.D. in India or abroad
Entrepreneurship
and Startups
Launching own tech products, services, or freelancing through platforms like Fiverr and Upwork
Teaching
and Academics
Lecturer or Assistant Professor roles in engineering colleges after postgraduation
Lab List
1. Programming Lab – C, C++, Python, Java: Basic and advanced coding skills
2. Data Structures Lab – Implementation of stacks, queues, trees, graphs, sorting, and searching algorithms
3. Database Management Systems (DBMS) Lab – SQL, PL/SQL, database design, normalization, triggers, and
transactions
4. Operating Systems Lab – Process management, scheduling algorithms, memory management, file systems
5. Computer Networks Lab – Socket programming, protocol simulation, packet tracing (e.g., Wireshark, Cisco Packet Tracer)
6. Software Engineering Lab – Software design, UML diagrams, testing strategies, version control tools like Git
7. Object-Oriented Programming Lab – Java/C++: Concepts like inheritance, polymorphism, interfaces, and GUI apps
8. Web Technologies Lab – HTML, CSS, JavaScript, PHP, Node.js, basic web app development
9. Compiler Design Lab – Lexical analyzer, parser, intermediate code generation using Lex & Yacc
10. Artificial Intelligence Lab – Search algorithms, logic programming, basic ML models in Python
11. Cybersecurity Lab – Kali Linux, penetration testing tools, basic cryptography, and web app
security
12. Cloud Computing Lab – AWS/Azure basics, virtualization using VirtualBox/Docker, deployment
of apps
13. Mobile App Development Lab – Android Studio or Flutter for building mobile apps
14. Machine Learning Lab – (Optional/Advanced) scikit-learn, TensorFlow, or PyTorch for supervised/unsupervised learning
15. Project Lab / Capstone Lab – Final year project work with version control, documentation, and testing
Where Talent Meets Opportunity:
Our Graduates Are Building Futures with Leading Companies
