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    This post was last updated on       November 11th, 2023

Bachelor of Engineering

Undergraduate Programme



4 years

8 Semesters


Important Date

Important Date

about program

About Programme

Information Science and Engineering is a discipline that includes theories, standards, methods and innovations of various domains like mathematics, cognitive science and information theory to solve complex IT problems. Information Science Engineering focuses on collecting, categorizing, strategizing, and storage of information. It also throws light on how to analyze and interpret the raw data. It is an area of professional practice that addresses the effective communication between information in the context of social, organizational, and individual needs in order to build the software or embedded applications for societal benefit. ISE course helps you to acquire concepts such as programming, Algorithms, Data Structures, File Structures, Networks, IoT and its applications, Object Oriented Concepts, Software Testing, Machine Learning, Artificial Intelligence and more.

The Information Science and Engineering professionals will be able to design, create and implement software applications to solve real-world problems. They use the latest tools and technologies to meet the industry requirements. They can figure out how to evaluate the ethical, legitimate, proficient and social standards of engineering knowledge and practices. ISE professionals can also showcase their expertise in mobile and distributed application development, web/ecommerce development, database administration, computer hardware, networking, education and training and decision support systems using machine learning concepts with the help of latest tools and technologies.


Programme Overview

After 2/3-year of graduation, the graduates will have the ability to:

  1. Analyse, design, and implement solutions in the field of Information Science and Engineering and adapt to changes in technology by self-learning
  2. Work effectively as an individual and in a team, exhibiting leadership qualities to meet the goals of the organization
  3. Keep abreast with the technology and pursue higher education
  4. Work with professionalism to meet societal needs along with concern for the environment

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

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.

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

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

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

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

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

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice

9. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multi-disciplinary settings

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

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 multi-disciplinary environments

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

ISE graduates will be able to:

1. Analyze, design, develop and test software solutions using structured and object oriented approach

2. Design, develop and optimize solutions for information systems employing fundamentals of system hardware & software, graph theory, finite automata, data storage and communication networks

The career opportunities for the students of Information Science and Engineering have broadened. Looking at the present trends, a few have been listed below:-

  1. A Data Base Administrator focuses on data and meta data management systems.
  2. A Cyber Security Consultant emphasizes on the security required in digital transactions.
  3. IT consultant is a technical specialist who focuses on integrating information technology into business and showing clients how to use IT more efficiently to help reach their objectives and targets.
  4. A multimedia programmer creates products that can be used online and on a variety of other platforms, such as DVDs, mobile phones and computer games.
  5. A Testing Engineer is required to test the product or system fully to ensure it function properly and meet the business needs.
  6. A Systems analyst may serve as change agents who identify the need for organizational improvement. He designs systems to implement the changes and also train others to use the systems.
why bnmit

Why BNMIT for this course ?

1. The Department of ISE has an amalgamation of experienced and distinguished faculty members and a state-of-the art infrastructure facility.
2. The faculty members of ISE are either doctorates or pursuing their Ph.D in the latest technological fields like Machine Learning, Artificial Intelligence, Big Data, Computer Vision, and Network Security. Students will be guided best by these faculty members to take up innovative projects in relevant fields.
3. The Department encourages the students to be multifaceted by allowing them to participate in technical, cultural and sports activities
4. The Department offers a friendly and cordial atmosphere for the students where they feel comfortable to interact with the faculty members so as to improve and utilize their talents to the best.


Programme Curriculum

1st Semester (Chemistry Group)

Course CodeCourse
18MAT11Calculus and Linear Algebra
18CHE12Engineering Chemistry
18CPS13C Programming for Problem Solving
18ELN14Basic Electronics
18ME15Elements of Mechanical Engineering
18CHEL16Engineering Chemistry Laboratory
18CPL17C Programming Laboratory
18EGH18Technical English-I

2nd Semester (Physics Group)

Course CodeCourse
18MAT21Advanced Calculus and Numerical Methods
18PHY22Engineering Physics
18ELE23Basic Electrical Engineering
18CIV24Elements of Civil Engineering and Mechanics
18EGDL25Engineering Graphics
18PHYL26Engineering Physics Laboratory
18ELEL27Basic Electrical Engineering Laboratory
18EGH28Technical English-II

3rd Semester 

Course CodeCourse
18MAT31Transform Calculus, Fourier Series And Numerical Techniques
18CS32Data Structures and Applications
18CS33Analog and Digital Electronics
18CS34Computer Organization
18CS35Software Engineering
18CS36Discrete Mathematical Structures
18CSL37Analog and Digital Electronics  Laboratory
18CSL38Data Structures Laboratory
18KVK39Vyavaharika Kannada (Kannada for communication)/
18KAK39Aadalitha Kannada (Kannada for Administration)

4th Semester 

Course CodeCourse
18MAT41 Complex analysis, probability, and statistical methods
18CS42Design and Analysis of Algorithms
18CS43Operating Systems
18CS44Microcontroller and Embedded  Systems
18CS45Object-Oriented Concepts
18CS46Data Communication
18CSL47Design and Analysis of Algorithm Laboratory
18CSL48Microcontroller and Embedded Systems Laboratory
18CPH49 Constitution of India, Professional Ethics and Cyber Law

5th Semester

Course CodeCourse
18CS51Management, Entrepreneurship for IT Industry
18CS52Computer Networks and Security
18CS53Database Management System
18CS54Automata theory and Computability
18CS55Application Development using Python
18CS56Unix Programming
18CSL57Computer Network Laboratory
18CSL58DBMS Laboratory with mini project
18CIV59Environmental Studies

6th Semester

Course CodeCourse
18IS61File Structures
18IS62Software Testing
18CS63Web Technology and its applications
18CS64XProfessional Elective -1
18CS65XOpen Elective –A
18ISL66Software Testing Laboratory
18ISL67File Structures Laboratory with mini project
18CSMP68Mobile Application Development


Professional Elective -1
Course code under18XX64XCourse Title
18CS641Data Mining and Data Warehousing
18CS642Object Oriented Modelling and Design
18CS643Cloud Computing and its Applications
18CS644Advanced JAVA and J2EE
18IS645Information Management System
Open Elective –A (Not for CSE / ISE Programs)
18CS651Mobile Application Development
18CS652Introduction to Data Structures and Algorithms
18CS653Programming in JAVA
18CS654Introduction to Operating System

7th Semester

Course CodeCourse
18CS71Artificial Intelligence and Machine Learning
18CS72Big Data Analytics
18CS73XProfessional Elective – 2
18CS74XProfessional Elective – 3
18CS75XOpen Elective –B
18CSL76Artificial Intelligence and Machine Learning Laboratory
18CSP77Project Work Phase – 1


Professional Elective – 2
Course code under 18CS73XCourse Title
18CS731Software Architecture and Design Patterns
18CS732High Performance Computing
18CS733Advanced Computer Architectures
18CS734User Interface Design
Professional Electives – 3
Course code under 18CS74XCourse Title
18CS741Digital Image Processing
18CS742Network management
18CS743Natural Language Processing
18CS745Robotic Process Automation Design & Development
Open Elective –B (Not for CSE / ISE Programs)
18CS751Introduction to Big Data Analytics
18CS752Python Application Programming
18CS753Introduction to Artificial Intelligence
18CS754Introduction to Dot Net framework for Application Development



8th Semester

Course CodeCourse
18CS81Internet of Things
18CS82XProfessional Elective – 4
18CSP83Project Work Phase – 2
18CSS84Technical Seminar


Professional Electives – 4
Course code under 18CS82XCourse Title
18CS821Mobile Computing
18CS822Storage Area Networks
18CS823NoSQL Database
18CS824Multicore Architecture and Programming




How To Apply ?

  • Admission for the first year of the course shall be opened to the students who have passed the two years Pre-University Examination (Science) conducted by Karnataka State Pre-University Board or 10 + 2 School Programme of the Central Board (CBSE / ICSE), New Delhi with Physics, Chemistry and Mathematics as optional subjects and English as a subject of study or those who have passed any other examinations recognized by the VTU as equivalent there to.
  • The admission to college is through the Entrance Tests, Common Entrance Test (CET) conducted by Karnataka Government & Consortium of Medical, Engineering and Dental Colleges of Karnataka COMEDK. The students with meritorious ranking are considered for admissions.
  • Candidates other than those from Karnataka are required to obtain Eligibility Certificate from VTU, Belagavi.
  • The Eligibility norms are periodically fixed by the VTU with all relevant details of Academic Eligibility, Recognised Equivalent Courses for admissions to UG Courses as well as PG Courses and Institutions recognized for eligibility. The full details are available on the Visvesvaraya Technological University website: www.vtu.ac.in
  • Admission through Management Quota:
    Candidates should have passed with a minimum aggregate of 45% marks in Physics, Chemistry and Mathematics (PCM) and should have passed these subjects individually. Physics, Mathematics and Chemistry are compulsory subjects.