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Department of CSE has started its UG program BE(CSE) in the year 1985 with an intake of 20. At present the department has expanded to 300 students with 3 UG programs BE(CSE), BE CSE ( AI& ML) ,BE CSE ( IoT & CS including BC Technology) . M. Tech.CSE was started in the year 2002 with an intake of 18 and increased to 36 in 2011. The intellectual ambiance in CSE Department is conducive to the holistic development of the students with well-equipped labs.
BE-CSE program was first accredited by the NBA (AICTE) in 1998 with ‘A’ grade for 3 years. Later, the BE-CSE program was further accredited during 2004, 2008, 2013, and 2017 consecutively.
CSE department is a recognized research center under Osmania University. Faculty and students have few patents to their credit. Department of CSE has centers of excellence in IoT, AI/ML, Cyber Security, AAiHC. Department is also having MoU’s with MSME, Robotic Process Automation, KernelSphere Technologies, Telangana State Council of Science and Technology, and DSCI.
Department has committed well qualified and professionally active staff and the majority of the staff are pursuing Ph.D. in emerging areas like AI, ML, Cyber Security, Data Science, Data Mining, and BlockChain.
Department is conducting the workshops and certifications under Microsoft and IBM. Various activities are conducted in collaboration with professional bodies like CSI, ISTE along with student branches of IEEE and CSI.
Department encourages the use of open-source software and has a technical CBIT Open Source (COSC)Club, security club.
The placement records of the CSE department are so phenomenal that they will blow your mind. Our placement record has been consistent with the placement record of more than 90% of students placed every year. Top companies that visited the campus for placements include Microsoft, JP Morgan, Accolite, NCR, Oracle, SalesForce, etc., with salaries going well beyond twenty-four lakhs per annum. The number of students who are doing internships is gradually increasing every year.
In 2017-18, 287 placements, 2018-19, 291 placements, 2019-2020, 311 placements with an average of 5 above the salary of over lakhs were offered to students of this department. The highest is the 41 lakhs per annum and more than 65 students secured multiple jobs and 23 students secured three jobs out of 211 students.
Department Vision
To be in the frontiers of Computer Science and Engineering with academic excellence and Research.
Department Mission
The mission of the Computer Science and Engineering Department is to:
Educate students with the best practices of Computer Science by integrating the latest research into the curriculum
Develop professionals with sound knowledge in theory and practice of Computer Science and Engineering
Facilitate the development of academia-industry collaboration and societal outreach programs
Prepare students for full and ethical participation in a diverse society and encourage lifelong learning
Program Offered
Placements
The placement records at the Computer Science Engineering department are so phenomenal that they will blow your mind. Our placement record has been consistent in with the placement record of more than 90% of students placed every year. Top companies that visited the campus for placements include Microsoft, JP Morgan, Accolite, NCR, Oracle, Sales Force etc., with salaries going well beyond two lakh a month. The no of students who are doing internship is also increases with DE.
In 2017-18, 287 placements, 2018-19, 291 placements and 2019-2020, 311 placements with an average 5 above salary of over lakhs were offered to students of this department. The highest is the 41 lakhs per annum and more than 65 students secured multiple jobs and 23 students secured three jobs out of 211 students.
B.E. Program Outcomes (PO’s)
Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization for the solution of complex engineering problems
Problem analysis: Identify, formulate, research literature, and analyse 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 public health and safety, and 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 modelling 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 the 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: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.