Department of Information Science and Engineering

The Department of Information Science and Engineering, Don Bosco Institute of Technology, Bengaluru was established in the year 2001, with an intake of 60 students which was later increased to 120 in the year 2018. The programme has been accredited by National Board of Accreditation (NBA), New Delhi in the year 2008 and subsequently re-accredited in the years 2015 and 2019 for 3 years each. DBIT is permanently affiliated to Visvesvaraya Technological University (VTU), Belagavi, Karnataka. The department has state-of-art infrastructure in terms of well-equipped laboratories and library for staff and students. It has qualified and experienced teaching faculty with an average experience of 15 years who are competent for the well-established teaching-learning process, consultancy, and research. The members of faculty emphasize exposure to cutting-edge technologies that cater to the needs of the industry.

The department has got the greater ambience of research in diversified areas like Artificial Intelligence and Machine Learning, Internet of Things, Data Science and Big Data Analytics, Mobile Application Development, Distributed/Pervasive/Grid Platforms, Data Mining and Data Warehousing, Digital Image Processing, Virtualization, and Cloud Computing. The department has a 3-Dimensional approach towards placement, higher education, and entrepreneurship to provide equal opportunities to the students. A student forum named "INFONIX" has been instituted to inculcate in students the all-round abilities of knowledge, skills, and the right attitude. It conducts Technical, Non-Technical, Social and Outreach activities organized throughout the year. Students are inspired to participate in curricular, co-curricular, and extra-curricular activities along with academics. The department has got a wide technical spectrum through the centre of excellence, special labs, industrial tie-ups, collaboration, MOUs, and online forums.

The department aims to be a collaborative hub for imparting quality education and industry-oriented knowledge to produce competent software engineers, professionally superior and ethically strong global manpower to meet the current and future challenges in the development of software and research.

  • To create a conducive environment for consultancy and research in the field of Information Science and Engineering.

  • To encourage students to pursue advanced courses, research, entrepreneurship and consultancy services with ethical and moral values

  • To synergize the effort of both students and faculty members to address modern IT infrastructural challenges

  • To build the state-of-art IT infrastructure with the collaboration of industries and institutions

  • PEO1:To provide students with a sound knowledge of science, mathematics, and engineering principles together with an in-depth disciplinary knowledge required to succeed in the profession of IT.

  • PEO2:To provide students an academic environment with an awareness of advanced technological growth leading to life-long learning needed for a successful professional career, excellence, and leadership.

  • PEO3: To train students with a wide scientific and engineering knowledge to comprehend, analyse, design, and create innovative software solutions and products for the problems of real life.

  • PEO4:To prepare students for graduate and postgraduate programmes and succeed in their careers in the field of Information and Technology.

  • PEO5: To empower students with effective communication skills, teamwork, a multidisciplinary approach, and an ability to relate engineering issues to the broader social context.

  • PEO5:To inculcate in students professional and ethical attitude with a strong character to uphold the spiritual and cultural values.

    • PO1: Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

    • PO2: Problem analysis:Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

    • PO3: 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.

    • PO4: 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.

    • PO5: Modern tool usage: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: 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.

    • PO7: 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.

    • PO8: Ethics: 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 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: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

    • PO12: 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.

  • PSO1:Ability to analyse, interpret, and develop algorithms in the areas related to Web Programming, Big Data Analytics, Cloud Computing, Machine Learning, and Computer Networking.

  • PSO2:Develop the ability to evolve and adapt as per the new challenges in Information Science and Technology.

  • PSO3:Pursue postgraduate and doctoral programmes

  • PSO4:Update knowledge about the state of art techniques in engineering including interdisciplinary domains to propagate sustainable development

  • To obtain consistent results in academics

  • To enter into MOUs to facilitate training, internship, and placements

  • To establish a cell for providing consultancy services

  • To offer training programmes and continuing education programmes

  • To establish knowledge centres

  • To modernize the Laboratories with latest software and hardware

  • To promote Industry- Institute interaction

  • To have an all-doctorate team of faculty members

  • To publish technical papers in reputed Journals

  • To submit proposals for funded projects in R and D activities

  • To strive for acquiring Intellectual Property Rights

  • To enter into an understanding with globally renowned universities by involving students and faculty members in emerging technologies

  • Well-ventilated class and tutorial rooms equipped with multimedia projectors.

  • Laboratories with advanced equipment and sophisticated software.

  • Departmental library

  • Internet Facility

  • Innovative video lecture delivery facility

I Semester II Semester
Course Code Course Name Course Code Course Name
18MAT11 Calculus and Linear Algebra 18MAT21 Advanced Calculus and Numerical Methods
18PHY12 Engineering Physics 18CHE22 Engineering Chemistry
18ELE13 Basic Electrical Engineering 18CPS23 C Programming for problem-Solving
18CIV14 Elements of Civil Engineering and Mechanics 18ELN24 Basic Electronics
18EGD15 Engineering Graphics 18ME25 Elements of Mechanical Engineering
18PHYL16 Engineering Physics Laboratory 18CHEL26 Engineering Chemistry Laboratory
18ELEL17 Basic Electrical Engineering Laboratory 18CPL127 C Programming Laboratory
18EGH18 Technical English-1 18EGH28 Technical English-II
III Semester IV Semester
Course Code Course Name Course Code Course Name
18MAT31 Engineering Mathematics III 18MAT41 Complex analysis, probability and statistical method
18CS32 Data Structures and Applications 18CS42 Design and Analysis of Algorithm
18CS33 Analog and Digital Electronics 18CS43 Operating System
18CS34 Computer Organization 18CS44 Microcontroller and Embedded Systems
18CS35 Software Engineering 18CS45 Object Oriented Concepts
18CS36 Discrete Mathematical Structures 18CS46 Data Communication
18CSL37 Analog and Digital Electronics Lab 18CSL47 Design and Analysis of Algorithm Lab
18CSL38 Data Structures Lab 18CSL48 Microcontroller and Embedded Systems Lab
V Semester VI Semester
Course Code Course Name Course Code Course Name
18CS51 Management, Entrepreneurship for IT Industry 18CS61 File Structures
18CS52 Computer Networks and Security 18CS62 Software Testing
18CS53 Database Management System 18CS63 Web Technology and its applications
18CS54 Automata theory and Computability 18CS641 Data Mining and Data Warehousing
18CS55 Application Development using Python 18ME652 / 18CV655 / 18EC652 World Class Manufacturing/ Intelligent Transport System/ Sensors and Signal Conditioning
18CS56 Unix Programming 18ISL66 Software Testing Laboratory
18CSL57 Computer Network Laboratory 18ISL67 File Structures Laboratory with mini project
18CSL58 DBMS Laboratory with mini project 18CSMP68 Mobile Application Development
VII Semester VIII Semester
Course Code Course Name Course Code Course Name
17IS71 Web Technology and its applications 17CS81 Internet of Things and Applications
17IS72 Software Architecture and Design Patterns 17CS82 Big Data Analytics
17CS73 Machine Learning 17CS832 User Interface Design
17CS743 Information and Network Security 17IS84 Internship/ Professional Practice
17CS754 Storage Area Networks 17ISP85 Project Work-II
17CSL76 Machine Learning Laboratory 17ISS86 Seminar
17CSL77 Web Technology Laboratory with mini project

Information Science Engineers have a wide range of job opportunities such as Software Engineer, IT Manager, Software Tester, Application Developer, Web Designer etc. After completion of graduation, one may pursue further studies like M.Tech, M.E. The department of ISE in association with the department of placement and training enables the placement process by moulding the students with good behaviour, right attitude and making them industry-ready. We provide pre-placement training such as technical, aptitude, reasoning, seminars, and technical talk which augment the student qualities such as soft, interpersonal, communication, and presentation skills.. Every year our students are getting placed in various companies like Tata Consultancy Services(TCS), Cognizant Technology Solutions (CTS), Wipro Technologies, Infosys private Ltd, Hashed In Technologies, Accenture, Adobe, NTT Data, Tech Mahindra, L&T InfoTech, Amazon, CGI, KPMG, Mind Tree, FSS, Zensar Technologies, Evolutionary System Management, Accords Software, and Indian Navy, etc...

  • Pass in PUC/10+2 Examination with Physics and Mathematics as compulsory subjects along with one of the chemistry/Computer science/ Electronics/Technical vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together of any Board recognized by the respective State Governments / Union Territories or any other qualification recognized as equivalent there to. Once the CET / COMEDK exams (entrance exam) get over, aspiring students would be able to assess their performance and seat allotment possibilities to the college of their preference. There would be acceleration in the admission process under Management Quota after the exams. To be assured the seat under Management Quota, it is necessary to secure the seat early by complying with the terms and conditions.

Sl. No

Semester & Section

Class Teacher

Mail id

Phone no







Navya Shridhar








Asha K H