
“Ideate. Innovate. Create.”
Department of Information Technology, one of the oldest departments of the school, was established in 2006. We offer undergraduate and doctoral programmes. We have qualified and dedicated faculty members. Our Bachelor of Technology (Information Technology) programme is accredited by the National Board of Accreditation (NBA) under the Tier-I category. We are popular among students for our expertise in Computer Networks, Data Ware Housing and Mining, Data Analytics, Machine Learning and Artificial Intelligence, the Internet of Things, Cloud Computing, Cyber security, and Forensics. We hold a good rapport with several people in the industry and follow the changing trends. We are committed to facilitating an engaging learning environment with the use of traditional and innovative pedagogy.
The Department of IT will impart quality education and conduct research relevant to the needs of the national and international community, which will help to improve the quality of human life.
PO/PSO list to be the one below.
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusion.
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for
i)Independent and life-long learning
ii) Adaptability to new and emerging technologies and
iii) Critical thinking in the broadest context of technological change.
PSO1: To demonstrate an ability to visualize, architect and create appropriate solutions for IT related projects.
PSO2: Demonstrate an ability to professionally manage, monitor and safeguard IT resources.
The department offers undergraduate and doctoral program.
The department has qualified and dedicated faculty members.
The research is an integral part of the Department of Information Technology. The department has strength in research domains like Networking, Internet of Things (IoT), Data warehousing and mining, Machine Learning and Artificial Intelligence, Wireless Sensor Networks, Human Computer Interaction (HCI), Sentiment Analysis, Cybersecurity, and Education Technology.
| Sr No | Name | Year of Admission | Guide | Date of Topic Approval | Topic |
| 1 | Pankti Doshi | 2018 | Dr. Ashwini Rao | 17-06-2020 | Recommendation system for programming content |
| 2 | Manya Gidwani | 2020 | Dr. Ashwini Rao | 10-11-2022 | Model for rumour detection on social media |
| 3 | M Ravinder | 2020 | Dr. Vikram Kulkarni | 14-03-2023 | Anomaly Detection for Electricity Consumption in Smart Grid |
| 4 | Shraddha Sarode | 2020 | Dr. Ashwini Rao | 12-07-2025 | Adaptive Question-Answer Generation and Response Evaluation System |
| 5 | Raminder Kaur | 2017 | Dr. Vikram Kulkarni | 09-04-2021 | Voice based Depression analysis using Deep Learning |
| 6 | Bhavna Bose | 2024 | Dr. Saurav Verma | 11-11-2025 | Design of Hybrid Quantum Computational Techniques for Enhancing Intrusion Detection Systems |
| 7 | Pratidnya S. Hegde Patil | 2024 | Dr. Pintu Shah | 12-07-2025 | Defense Mechanisms for Multimodal Deepfakes |
| 8 | M Shanker | 2024 | Dr. Vikram Kulkarni | 11-11-2025 | Intelligent Comprehending Frameworks for Reliable Solar Energy Forecasting |
| 9 | Manthan Joshi | 2025 | Dr. Sneha Deshmukh | – | Coursework |
| 10 | Suresh Kumar Rajpurohit | 2025 | Dr. Saurav Verma | – | Coursework |
| 11 | Ayan Datta
|
2025 | Dr. Pintu Shah | – | Coursework
|
| Sr No | Name | Guide | Year of Admission | Date of Topic Approval | Year of Completion |
| 1 | Ketan Dahyalal Shah | Dr. Sunita Mahajan | 2006 | July-2007 | 2011 |
| 2 | Sehul Kamal Shah | Dr. H.B. Kekre | 2006 | July-2007 | 2010 |
| 3 | Vasantrao Amarsinh | Dr. Sunita Mahajan | 2008 | 01-02-2013 | 2014 |
| 4 | Sushila Vidhate | Dr. S.R. Devane | 2009 | 01-02-2013 | 2016 |
| 5 | Seema Anand Ladhe Pushpa | Dr. Vijay Raisinghani | 2009 | 01-02-2013 | 2016 |
| 6 | Swapna Sanjay Borde | Dr. Udhav Bhosale | 2009 | 02-01-2013 | 2014 |
| 7 | Arvind Shitalkumar Jain | Dr. Vijay Raisinghani | 2010 | 27-08-2011 | 2017 |
| 8 | Aaditya Desai | Dr. Sunil Rai | 2010 | 06-04-2017 | 2020 |
| 9 | Avinash Damodar More | Dr. Vijay Raisinghani | 2010 | 18-06-2011 | 2017 |
| 10 | Varsha Kiran Bhosale | Dr. Vijay Raisinghani | 2016 | 01-02-2013 | 2023 |
| 11 | Kranti Vithal Ghag | Dr. Ketan Shah | 2012 | 02-02-2013 | 2018 |
| 12 | Sudhir T Bagade | Dr. Vijay Raisinghani | 2012 | 01-02-2013 | 2019 |
| 13 | Ashwini Rao | Dr. Ketan Shah | 2012 | 19-05-2014 | 2019 |
| 14 | Shubha Puthran | Dr. Ketan Shah | 2011 | 19-05-2014 | 2020 |
| 15 | Vinaya Sawant | Dr. Ketan Shah | 2011 | 19-05-2014 | 2020 |
| 16 | Sneha Deshmukh | Dr. Vijay Raisinghani | 2011 | 15-09-2017 | 2023 |
| S.No. | Name of the Laboratory | Courses conducted in the Laboratory |
| 1 | Data Engineering Lab (CL 501) | 1. Human Computer Interaction (HCI)
2. Advanced Database Management Systems (ADBMS) 3. Operating Systems (OS) 4. Machine Learning Algorithm (MLA) 5. Probability and Statistics (P&S) 6. Object Oriented Programming (OOPS) 7. Data Warehousing and Mining (DWM) |
| 2 | Project Lab (CL 502) | 1. Capstone Project
2. Mini Projects (Course-based) 3. Software Testing (ST) 4. Management Information Systems (MIS) 5. Documentation & Technical Writing 6. Project Presentation & Viva 7. Case Studies |
| 3 | Systems & Application Development Lab (CL 505) | 1. Mobile Application Development (MAD)
2. Data Structures and Algorithms (DSA) 3. Database Management Systems (DBMS) 4. Advanced Data Structures (ADS) 5. Web Programming (WP) 6. Software Project Management (SPM) 7. Principles of Artificial Intelligence (PAI) |
| 4 | Quantum Science and Technology Lab (CL 506) | 1. Visual Analytics
2. Cloud Computing 3. Computer Networks (CN) 4. Computer Graphics (CG) 5. System Administration (SA) 6. Information Security Systems (ISS) 7. Software Engineering (SE) |
Head of the Department, Information Technology
Professor & Associate Dean (Accreditation)
Associate Professor
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Associate Professor
Assistant Professor
Assistant Professor
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
Lab Asst.
Lab Asst.
Lab Asst.
Lab Asst.
Assistant (Academic-Admin)