B.Tech Information Technology
About Department
The Department of Information Technology (IT) was established in the year 2024. The Department has a state-of-the-art computer laboratory with more than 350 computers (all PIVs) with latest hardware and software. Lots of importance is given to practical learning and a sound understanding of the theoretical part. The Department organizes endowment lectures by engineers and academicians of national and international repute to help the students to keep abreast with the latest developments in the field of Information Technology. The Department is dedicated to providing quality education, research, and training in the fast-growing field of information technology. Established with the aim of bridging the gap between industry and academics, the department equips students with strong foundations in computing, programming, data management, networking, cyber security, cloud computing, artificial intelligence, and emerging technologies.
Vision & Mission
Vision
To develop competency in the field of Information Technology by instituting quality education with values and setting up the sense of research.
Mission
Providing a comprehensive theoretical foundation, inculcating state of art engineering practices in the field of IT with social commitment.
PEOs and POs
Programme Educational Objectives (PEOs)
- Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
- Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
- Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
- Design and model AI based solutions to critical problem domains in the real world.
- Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
Programme Outcomes (POs)
- 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 analyze 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 modeling 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 solution, 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 Individual and teamwork:Function effectively as an individual, and as a member or leader in diverse teams, and in multi disciplinary settings.
- PO10 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.
- PO11 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 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.
Program Specific Objectives (PSOs)
Students will be able to
- PSO1: Develop effective domain-specific processes based on AI for efficient decision making across a range of domains, including the business and governance domains.
- PSO2: Reach a workable Data-driven insight, foresight, and hindsight to address business and engineering challenges
- PSO3: Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
- PSO4: Gain expertise in information acquisition, knowledge representation, and knowledge engineering through the development of data analytics and data visualization abilities. This will enable you to manage challenging projects.
- PSO5: Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.
Scope & Job Oppourtunities
Computer Science is a very vast discipline with plethora of opportunities. The programme trains the students of the basics and different facets of computer engineering. It comprises foundations of computer systems, computer architecture & organization, networking, the theory of computation, database systems, electronics, operating systems, programming and website designing, e-commerce & multimedia applications, principles of programming languages, software engineering, hardware engineering, etc.
The professionals of CSE can be assigned as a computer programmer, data scientist, systems analyst, software developer, hardware engineer, IT consultant, system engineer, system designer, IT specialist, networking engineer, database administrator, web developer, mobility tester, e-commerce specialist, programmer, software tester, etc, and exercised various other job profiles in the private firms and top companies like TCS, Wipro, Microsoft, Google, Infosys, Accenture, HCL, Facebook, Cognizant, Adobe, Oracle, SunMicrosystems, Flipkart, IBM, etc.
The professionals can mark their career in multiple domains like artificial intelligence, embedded systems, ethical hacking, wireless network, computer manufacturing, database systems, web applications, animation, computer graphics, scientific modeling, computational biology, video games development, mobile application development, data science, network administration, etc. Students also have an option of taking up GATE exam whose scorecard is appraised by various government organizations for recruitment. Computer engineers can also get numerous jobs.
Value Added Course
- AWS Academic Alliance
- Oracle Academic Alliance
Laboratories
- Advanced Programming Lab
- DBMS & RDBMS Lab
- Conventional Programming Lab
- Unix Lab
- Multimedia & Image Processing Lab
- UIUX Lab
- Peripherals & Interfacing Lab
- Hardware Maintenance Lab
- Software Development Lab
- Cloud Computing Lab
- Internet Security Lab
Faculty Details
Department of Information Technology

| HEAD OF THE DEPARTMENT |
|---|
| Name: Dr.S.M.Uma |
| Qualification: B.E.,M.E.,Ph.D |
| Department: Information Technology |
|
Department of Information Technology (IT) is a specialized department focused on training students in the fields of Information Technology. These fields combine aspects of computer science, mathematics, statistics, and domain knowledge to create intelligent systems that can learn from data, perform complex tasks, and solve real-world problems. |
List of Faculty:
| S.No. | Name of the Faculty | Highest Degree | Area of Specialization | Present Designation |
|---|---|---|---|---|
| 1 | Dr. S. M. Uma | Ph.D | Data Mining | Head / Associate Professor |
| 2 | Ms. B. Sangeetha | M.Tech., (Ph.D) | Cloud Computing, Machine Learning, Internet of Things | Academic Coordinator / Assistant Professor |
| 3 | Ms. M. Vidhya | M.E. | Cloud Computing | Assistant Professor |
| 4 | Ms. S. Nirmala | M.Tech. | Artificial Intelligence, Machine Learning | Assistant Professor |
| 5 | Ms. V. Gayathri | M.Tech. | Software Engineering | Assistant Professor |
| 6 | Ms. T. Sindhu | M.E. | Artificial Intelligence and Machine Learning | Assistant Professor |
Achievements