Computer Science & Engineering (CSE) Data Science is transforming everything around us. It is an exciting, fast-moving and creative field. It is the application of engineering to analyze, design and built software solutions to solve the societal problems. It offers lucrative career and an opportunity to build a better world. 

Skills Gained :

• Knowledge of computer science theories, methods, practices and strategy
• Understanding of a range of programming languages
• Understanding of computing architecture, construction and engineering
• Understanding of computing software, tools, packages and design
• Wide understanding of a range of computer-based systems

  • PEO1: The Graduates are employable as software professionals in reputed industries
  • PEO2: The Graduates analyze problems by applying the principles of computer science, mathematics and scientific investigations to design and implement industry accepted solutions using latest technologies
  • PEO3: The Graduates work productively in supportive and leadership roles on multidisciplinary teams with effective communication and team work skills with high regard to legal and ethical responsibilities.
  • PEO4: The Graduates embrace lifelong learning to meet ever changing developments in computer science and engineering
  • PO1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
  • PO2: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
  • PO4: 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.
  • PO5: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling to complex engineering activities, with an understanding of the limitations.
  • PO6: 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.
  • PO7: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: Communicate effectively on complex engineering activities with the engineering community and with the 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.
  • PO11: 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.
  • PO12: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. The POs formulated for each programme by the institute must be consistent with the NBA’s Graduate Attributes.. The POs must foster the attainment of the PEOs.
  • PSO1: The ability to understand, analyze and develop software solutions
  • PSO2: The ability to apply standard principles, practices and strategies for software development
  • PSO3: The ability to become Employee, Entrepreneur and/or Life Long Leaner in the domain of Computer Science.
Semester Subjects Electives

I Sem

  1. Mathematics-I
  2. Applied Physics
  3. Basic Electrical Engineering
  4. Programming for Problem Solving- I
  5. Applied Physics Lab
  6. Basic Electrical Engineering Lab
  7. Programming for Problem Solving- I Lab
  8. Engineering Workshop
  9. English Language Skills Lab


II Sem

  1. Mathematics-II
  2. English
  3. Engineering Chemistry
  4. Programming for Problem Solving- II
  5. Engineering Graphics & Design
  6. English Communication Skills Lab
  7. Engineering Chemistry Lab
  8. Programming for Problem Solving- II Lab


Semester Subjects Electives

I Sem

  1. Probability & Statistics
  2. Discrete Mathematics
  3. Object Oriented Programming
  4. Data Structures
  5. Digital Logic and Design
  6. Python Programming
  7. Python Programming Lab
  8. Data Structures Lab
  9. Environmental Studies


II Sem

  1. Computer Organization
  2. Formal Languages and Automata Theory
  3. Java Programming
  4. Software Engineering
  5. Database Management Systems
  6. Soft Skills for Success Lab
  7. Java Programming Lab
  8. Database Management System Lab
  9. Gender Sensitization


Semester Subjects Electives

I Semester

  1. Computer Networks
  2. Operating Systems
  3. Design and Analysis of Algorithms
  4. Web Technologies
  5. Entrepreneurship Development
  6. Web Technologies Lab
  7. Operating Systems& Computer Networks Lab
  8. NSS/NSO

Open Elective –I

  1. Logical Reasoning , Verbal and Quantitative Ability
  2. Operations Research
  3. Language and Life skills

II Semester

  1. Compiler Design
  2. Data Warehousing And Data Mining
  3. Data Warehousing And Data Mining Lab
  4. Advanced English Communications Skills Lab

Professional Elective-I

  1. R programming
  2. Unix Programming
  3. Object Oriented Analysis and Design

Professional Elective-II

  1. Machine Learning
  2. E-Commerce
  3. Cyber forensics

Professional Elective-III

  1. Mobile Computing
  2. Advanced Databases
  3. Human Computer Interaction

Professional Elective-I Lab

  1. R programming Lab
  2. Unix Programming Lab
  3. Object Oriented Analysis and Design Lab
Semester Subjects Electives

I Sem

  1. Information Security
  2. Software Project Management
  3. Information Security Lab
  4. Industry Oriented Mini Project

Professional Elective-IV

  1. Predictive Analytics with R Programming
  2. Scripting Languages
  3. Image Processing with SCI Lab

Professional Elective-V

  1. Big Data Analytics
  2. Distributed Systems
  3. Soft Computing
  4. Operations Research</li

Professional Elective-IV Lab

  1. Predictive Analytics with R Programming Lab
  2. Scripting Languages Lab
  3. Image Processing with SCI Lab

Open Elective- I

  1. Management Science
  2. Entrepreneurship Development
  3. Managerial Economics and Financial Analysis

II Sem

  1. Technical Seminar
  2. Comprehensive Viva- Voce
  3. Project Work

Open Elective – II

  1. Fundamentals of Budget
  2. Essential English & Employability Skills
  3. Business English

Open Elective – III

  1. Negotiation Skills
  2. Project Management
  3. Value Engineering
  • Software Developers
  • System Designer
  • System Analyst
  • Systems Engineer
  • Development Analyst
  • Associate Engineer
  • Mobile application developer
  • Technical Consultant
  • Software tester
  • Cyber Security Technologist
  • Trainee Software Engineer
  • Assistant System Engineer
  • Associate System Engineer
  • Junior Software Developers
  • Enterprise-Specialist
  • ELearning Designer
  • Graduate Trainee
  • Cyber Intrusion Analyst

Top Companies

  • GoogleInc
  • Tata Consultancy Services Ltd
  • International Business Machines Corporation(IBM)
  • Infosys Limited
  • CapGeminiTechnologies Services Limited
  • Accenture Inc
  • Tech Mahindra Limited
  • MindTree Limted
  • HCLTechnologies
  • Value Labs Limited
  • Hewlett-Packard Inc Wipro Enterprises
  • Wipro Enterprises
  • Microsoft Corporation
  • Amazon Group
  • CTRLS Limited
  • Toshiba Corporation
  • TechimaxPvt Limited
  • Cisco Pvt Limited
  • MTX Group


Meet Our Faculty

Take the Next Step