VISION
To evolve as an outstanding education and research center of Information Technology to create high quality Engineering Professionals for the betterment of Society.
MISSION
- Providing education through an ever improving curriculum and effective pedagogy techniques.
- Encouraging extra and co-curricular activities to develop their overall personality along with technical skills.
- Collaborating with industry and academia for strengthening research, innovation and entrepreneurship ecosystem.
DEPARTMENT PROFILE
The Department of Information Science and Engineering (ISE) was established in
the year 1992 with an objective of producing high quality professionals to meet the
demands of the emerging field of Information Technology. Department offers
Bachelor’s program in Information Science and Engineering (B. E), Master’s
program in Data Science (MTech) and Doctoral program (Ph.D.). The
Department of Information Science and Engineering, is a progressive department
that has made significant contributions to Academics, Research and Innovation.
Under Graduate (UG) program acquired accreditation status from National Board
of Accreditation (NBA) since 2001 under tier-1 scheme. The department has highly
qualified and competent faculty members committed to innovative teaching
learning and quality research. Department has 8 well-equipped state of the art
laboratories which meets the requirement of curriculum, innovation and research.
Collaboration with industries such as Apple, Unisys, Mindtree, Intel, Google, SECO,
IBM, NVIDIA etc, has a significant impact on the curriculum, computing
infrastructure, teaching & learning and research. The curriculum is centred around
Data Science, Artificial Intelligence, IOT, Cloud & Distributed Computing, System
Programming, Computer Security and Software development. Curriculum and the
teaching learning process ensure that the students demonstrate technical
competence, ethical reasoning, creativity in identification & formulation of the
problems and develop solutions by using appropriate tools & techniques.
Department has established technical clubs/ professional student chapters to
provide collaborative learning platform for the students. Echo system has been
built to initiate start-ups/Innovation at the department level along with the
mentorship program. The activities of the Department led to high profile
placements, motivation to become an entrepreneur, and encouragement for
higher learning.
Achievements (5 years statistics)
- 20+ Prestigious National & International awards.
- About 90% high profile placements with average annual package of 9.25 lakhs.
- 300+ research publications in referred journals/conferences with 2000+ citations.
- 8 Indian/Foreign patents published.
- 10+ funded research/consultancy projects from UGC, AICTE, VGST, IBM, Tech Machinery, ARTPARK, ICMR etc. amounting to Rs. 1 Crore till date.
- 100% Internships statistics with average stipends of Rs. 30,000.
- Good number of students are opting for higher education in prestigious institutions of India & Abroad.
DEPARTMENT HISTORY
- Department of Information Science and Engineering (ISE) was established in the year 1992
- Department has started with B.E in Information Science and Engineering
with an intake of 30 students : Intake was enhanced to
- 60 students in the year 1999
- 90 students in the year 2001
- 120 students in the year 2008
- Department has started M.Tech in Data Science with 18 students in the year 2023.
- NBA accreditation status :
- UG Program: accredited for the first time in the year 2001. Subsequently it was accredited in the years 2004, 2010, 2015.
Department of Information Science & Engineering offers the following programs:
-
Bachelor of Engineering in Information Science & Engineering.
-
Master of Technology in Data Science.
-
Ph.D
Program Educational Objectives (PEOs):
- PEO1: Become competent Information Technology professionals with continuous progress in career or learning
- PEO2: Productively engage with society by practicing research or entrepreneurship.
- PEO3: Function effectively as professionals in a team environment or individually.
Program Outcomes (POs):
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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 Outcomes (PSOs):
- PSO1: Apply Mathematical models, programming paradigms and software development practices to solve real world problems.
- PSO2: Adopt computing and communication models for developing IT solutions.
- PSO3: Acquire data engineering skills to develop intelligent systems in a multidisciplinary environment.
Program Educational Objectives (PEOs):
- PEO1: Contribute in the area of Software Engineering development, maintenance and research in social-technical system
- PEO2: Exhibit the Software Engineering skills for analysis, design and testing using modern tools and technologies within or outside discipline.
- PEO3: Act according to professional ethics and communicate effectively with various stakeholders by demonstrating leadership qualities.
Program Outcomes (POs):
- PO1 An ability to independently carry out research/investigation and development work to solve practical problems.
- PO2 An ability to write and present a substantial technical report/document.
- PO3 Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.
- PO4 An ability to analyze, design, verify, validate, implement, apply and maintain software systems
- PO5 A recognition of the need for, and an ability to apply, professional and ethical responsibilities
Dr. Anita Kanavalli
Dr. Anita Kanavalli received her Ph.D. in Computer Science and Engineering from Bangalore University in 2013. She has published many research papers in International Conferences and Journals. She is a member of Indian Society of Technical Education (ISTE) and IEEE (Computer Society). She has guided many M.Tech students and is guiding PhD scholars. She is serving the institution from past 20+ years. She is also a certified instructor for CISCO Networking Academy for CCNA. Dr. Anita Kanavalli has a wide experience in teaching engineering students both in UG and in PG. She has guided many projects in UG and PG. She has been actively involved in Research work in the area of computer networks and Sensor network applications. She was also a Co-Investigator for a project "Setting Up a Sensor Network Testbed" funded by UGC New Delhi.
Email: hod_is@msrit.edu
Vidwan Profile - https://msrit.irins.org/profile/202756
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