Bachelor of Technology

Computer Science and Business Systems | BTechCSBS

B.Tech. in Computer Science & Business Systems (CSBS) is a four-year undergraduate degree program that blends Computer Science and Business Systems. This integration plays a crucial role in the success of modern organisations.

The program is designed to provide students with a strong foundation in computer science concepts, along with an understanding of business processes and management principles. It equips the students with the skills and knowledge to design, develop and evaluate technology solutions that can address real-world business problems and opportunities.

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Key Information


Our faculty leverages active learning strategies and cutting-edge ICT tools, including DIY projects, Think-Pair-Share exercises, and Learning Management System (Moodle), to guide students through the TLE process. They foster innovation in assessment and prioritise hands-on learning experiences. Students engage in a diverse range of pedagogical approaches, such as programming, simulations, modelling, peer collaboration, adaptive learning modules, real-world projects, and internships.

These enriching experiences equip them with the competencies and skills necessary to thrive in today's dynamic workforce. Consequently, our program graduates industry-ready professionals prepared to tackle the challenges and capitalise on the opportunities of the modern business world.


  • Project-based learning : A dedicated program to shape professionals with teaching focused on problem or project based learning
  • Knowledge beyond technical skills: Professionals in computer science and business systems engineering benefit from a range of additional skills such as Critical Thinking ,Problem-Solving and Leadership skill.
  • Rewarding career path: Placement opportunities for eligible and interested students
  • Interactive & active classroom sessions: By incorporating interactive and active strategies like Group discussions and case studies, students can witness a dynamic learning environment that engages them and prepares them for the practical challenges of computer science and business management.
  • Open & Technical Electives: Wide choice for branch specific electives and more number of open or interdisciplinary electives
  • Internships: Full time internship for six months in last year Sem - VIII along with opportunity for vacational internships
  • Dynamic & Industry-oriented curriculum: Focused curriculum with a rigour towards hands-on experience and industry exposure. The syllabus is designed in consultation with Industrial experts and academia, to address the current industrial and social needs.

Career Paths

  • Software Developer/Engineer
  • Business Analyst
  • Data Analyst/Scientist
  • Systems Analyst
  • IT Consultant
  • Project Manager
  • Network Administrator/Engineer
  • Database Administrator
  • Cybersecurity Analyst
  • ERP (Enterprise Resource Planning) Specialist
  • IT Auditor
  • Business Intelligence (BI) Developer
  • Cloud Solutions Architect
  • E-commerce Specialist
  • Artificial Intelligence/Machine Learning Engineer


Semester I Semester II
Course Group C Course Group C
Theory courses Theory courses
Applied Mathematics - I Applied Mathematics - II
Engineering Chemistry Engineering Physics
Engineering Drawing Engineering Mechanics
Elements of Electrical and Electronics Engineering  
Lab/Tutorial courses Lab/Tutorial courses
Python Programming Programming in C
Engineering Chemistry Laboratory Engineering Physics Laboratory
Elements of Electrical & Electronics Engineering Laboratory Engineering Mechanics Laboratory
Project-Based Learning Project-Based Learning
Basic Workshop Practice - I Presentation & Communication Skills
Engineering Drawing Laboratory Basic Workshop Practice - II
Exposure Course* Exposure Course*
Course Group P Course Group P
Theory courses Theory courses
Applied Mathematics - I Applied Mathematics - II
Engineering Physics Engineering Chemistry
Engineering Mechanics Engineering Drawing
  Elements of Electrical & Electronics Engineering
Lab/Tutorial courses Lab/Tutorial courses
Python Programming Programming in C
Engineering Physics Laboratory Engineering Chemistry Laboratory
Engineering Mechanics Laboratory Engineering Drawing Laboratory
Project-Based Learning Elements of Electrical & Electronics Engineering Laboratory
Presentation & Communication Skills Project-Based Learning
Basic Workshop Practice - I Basic Workshop Practice - II
Exposure Course* Exposure Course*

Note- Students will be assigned either course group C or P in semester I irrespective of their branch of study. Accordingly, they will have the other course group (P or C) in semester II

*mandatory non-credit course to be selected from a variety of courses from sports (indoor and outdoor), music, dance, creative art, culture, religion, yoga, broadcasting, film-making etc.

Semester III Semester IV
Computational Statistics, Probability and Calculus Linear Algebra and Optimization
Data Structures & Algorithms Formal Language & Automata Theory
Computer Organization and Architecture Data Science
Discrete Mathematics Design & Analysis of Algorithms
Fundamentals of Economics Business Communication & Value Science
Object Oriented Programming Database Management Systems
Semester V Semester VI
Computer Network & Security Operating Systems
Software Engineering AI & ML
Financial Management Marketing Research & Marketing Management
Design Thinking
Operations Research
IT Project Management
Fundamentals of Management
Advanced Business Communication & Value Science
Software Design with UML
Compiler Design
Digital Signal & Image Processing
Cloud, Microservices and Application
Modern Web Applications
OEHM Project-1
Mini Project  
Full stack Development  
Semester VII Semester VIII
Business Analytics & Strategy  
Human Resource Management
Enterprise Systems
Financial and Cost Accounting
Behavioral Economics
Introduction to Innovation, IP Management and Entrepreneurship
Advance Finance
Computational Finance and Modeling
Advanced Social, Text and Media Analytics
Services Science and Service Operational Management
Introduction to IoT
Robotics and Embedded Systems
Usability Design of Software Applications
Data Mining and Analytics
Deep Learning
Quantum Computation and Quantum Information
Mobile Computing
Natural Language Processing
Cognitive Science & Analytics
OET Project-3

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