Information Science & Engineering

Information Science and Engineering is an interdisciplinary field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information.


“To be centre of Academic and Research excellence in the field of Information Technology inculcating value based education for the development of quality Human Resource.”


“Equip students with fundamental concepts, practical knowledge and professional ethics through dedicated faculty for higher studies and professional career in various Scientific, Engineering and Technological streams leading to proficiency in the field of Information Technology.”

Click here to know more

Information Science and Engineering is an interdisciplinary field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. The Department of Information Science and Engineering was initiated in the year 2000 with an intake capacity of 60 and current intake is 120 students for BE programme, affiliated to Visvesvaraya Technological University, Belagavi. The zealous department also offers two PG programmes, M.Tech in Computer Network Engineering & M.Tech in Cyber Forensics and Information Security and has R&D center recognized by Visvesvaraya Technological University, Belagavi. The department consists of a highly motivated, competent and distinguished faculty committed to the cause of quality education. Research is an integral part of departmental activities where all the faculty members are enthusiastically involved.

The department has well-focused research area and excellent research facilities, which cater to the needs of the research community providing ample opportunity for the students to implement and test their skills. Workshops, seminars and invited talks from experts frequently with the help of professional bodies like Computer Society of India (CSI), Indian Society for Technical Education (ISTE) and technical student forum “STEIGEN” are systematically organized. The Computer Society of India student branch has been honoured with the “Best Computer Society of India Student Branch Award” at the Computer Society Of India National Convention 2012. The department has collaborated with several top IT giants. The list includes Apple - iOS University Development Programme, IBM -Centre of Excellence, Microsoft-IT Academy, Infosys - Campus Connect Program, EMC2 - Academic alliance partner, Wipro Mision10X, to name a few. Employment through campus placements in premier IT organizations is assured for a majority of the students.

The department has achieved academic milestones by achieving University Ranks. So far several ranks have been credited to the department. Big data community is a unique practice at department of Information Science and Engineering, focused on enriching the competency of our faculty members, students and our research scholars through workshops, FDPs, online courses and National/International Conferences. Through Big data community, multi node cluster set up in the lab it helps the students to execute projects. Another remarkable aspect of the department of Information Science and Engineering is the Inhouse internship program extended to our students to gain expertise by learning and adopting the software engineering practices and developed live projects which are vital for our academic activities.

To this date, the effectiveness of the program has proved to be advantageous to our students to be placed in good organizations during placements. By virtue of our R&D cell, faculty members in collaboration with students have published nearly 80+ scopus index journal papers. To sum it up, Information Science and Engineering is one of the most promising and rewarding field.

Click here to know more

Under Graduate

B.E. in Information Science & Engineering
Duration: 4 Years

Eligibility : Pass in 10+2 / Higher Secondary (HS) / Pre University (PUC) / 'A' Level (with 12 years of schooling) or its equivalent with English as one of the languages. Shall have secured a minimum of 45% marks in aggregate in Physics, Mathematics and any one of the following : Chemistry, Biology, Biotechnology, Computer Science, Electronics, Information Science. AIT admits students as per prevailing rules and regulations of VTU.

Post Graduate

M.Tech in Computer Network Engineering
Duration: 2 Years
Eligibility: BE / Equivalent Degree

Career Scope This M.Tech programme is intended for students who wish to pursue careers in research, development, operations, and services in the networking and IT industry. It is designed to address specialised needs in networking industry including areas of digital communication, information security, wireless and mobile networking, optical networks, multiplexing in telecommunication, etc., which are imminent areas in the industry.

Click here to know more

Chief Advisor

Dr. Sharanabasava C Pilli

Acharya Institute of Technology.


Prof. Mahesh G

Associate Professor,
Department of Information Science & Engineering.

Member Secretary

Prof. C K Marigowda

Associate Professor & Head,
Department of Information Science & Engineering.


Dr. Rajan M A

Research Scientist,
Innovation Labs,Tata Consultancy Services.

Mr. Pratap Kodancha

Associate Manager,
SAP Labs India Pvt. Ltd, Bangalore.

Dr. GowriShankar

Professor & Head,
Department of Computer Science & Engineering,
BMS College of Engineering, Bangalore.


Dr. SatishBabu B

Department of Computer Science & Engineering,
Siddaganga Institute of Technology, Tumkur.

Dr. P Suresh

Principal Researcher , Education & Research,
Infosys Ltd., Mysore.

Dr. D Manjunath

Department of Computer Science & Engineering,
Indian Institute of Technology ,Bombay( IITB), Mumbai, India.

Click here to know more

A wireless sensor network (WSN) of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. Today WSN are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. Currently 5 research scholars are working in this area.
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Analysis of data sets can find new correlations, to "spot business trends, prevent diseases, cyber crime and so on." Scientists, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research. Currently 4 scholars are working in this area.
Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. Clouds can be classified as public, private or hybrid. Currently 2 research scholars are working in this domain.
Information security is applied to technology to protect our systems from the intruders. It is worthwhile to note that a computer does not necessarily mean a home desktop. A computer is any device with a processor and some memory. Such devices can range from non-networked standalone devices as simple as calculators, to networked mobile computing devices such as smart phones and tablet computers. IT security specialists are almost always found in any major enterprise/establishment due to the nature and value of the data within larger businesses. They are responsible for keeping all of the technology within the company secure from malicious cyber attacks that often attempt to breach into critical private information or gain control of the internal systems. Currently one scholar working in this space.
Data Mining is the process of extracting huge and useful information from large databases, an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Currently 2 scholars are working in this area.
Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame, the output of image processing may be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. Currently one scholar working in this space.
HCI (human-computer interaction) is the study of how people interact with computers and to what extent computers are or are not developed for successful interaction with human beings. As its name implies, HCI consists of three parts: the user, the computer itself, and the ways they work together. Users can be an individual user, a group of users working together. Different users form different conceptions or mental models about the interactions and have different ways of learning. Computers are technologies ranging from desktop computers, to large scale computer systems. Through Interaction, HCI attempts to ensure that both Users and Computers interact successfully in order to achieve a usable system. Common methods of HCI include Gesture recognition, Sign language interaction, Human pose estimation and others. Currently one scholar working in this space.

Click here to know more

The educational objectives of a programme are the statements that describe the expected achievements of graduates within first few years of their graduation from the programme. The programme educational objectives of Bachelor of Engineering in Information Science and Engineering at Acharya Institute of Technology can be broadly defined on four counts:

  1. Sound knowledge in engineering discipline
  2. Are competent, creative, and highly valued ethical professionals in industry, academia, government or entrepreneur
  3. Engage in life-long learning and professional development
  4. Become effective global collaborators, leading or participating to address technical, business, environmental and societal challenges

Click here to know more

Programme outcomes are narrower statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the skills, knowledge and behavior. Graduates of Bachelor of Engineering in Information Science & Engineering programme at Acharya Institute of Technology will attain the following programme outcomes.

  1. An ability to apply knowledge of mathematics, science, and engineering
  2. An ability to identify, formulate, and solve engineering problems
  3. An ability to design and conduct experiments, as well as to analyze and interpret data
  4. An ability to design and build a component, system, or process to meet desired needs
  5. An ability to function on multidisciplinary teams
  6. An understanding of professional and ethical responsibility
  7. An ability to communicate effectively
  8. An ability to use the techniques, skills, and engineering tools
  9. The broad education necessary to understand the impact of engineering solutions in global, economic, environmental, and societal context
  10. A recognition of the need for, and an ability to engage in life-long learning
  11. A knowledge of contemporary issues
  12. A knowledge of project management and its financing