Computing is now at the heart of every innovation, and Artificial Intelligence is its future. At KLE Tech, the B.E. Computer Science and Engineering (AI) program prepares students to lead in this intelligent age. The curriculum balances theoretical foundations with real-world applications—from machine learning and data analytics to advanced systems and ethical AI.
Students begin with programming, databases, algorithms, and systems design before advancing to specialized topics like cloud computing, deep learning, and cybersecurity. Practical exposure through labs, capstone projects, internships, and coding competitions ensures industry relevance. The program also emphasizes communication, teamwork, and problem-solving skills essential to thrive in any AI-driven landscape.
Graduates will demonstrate peer-recognized technical competency to solve, analyze, design, develop, deploy and maintain computing solutions for contemporary problems.
Graduates will demonstrate leadership and initiative to advance professional and organizational goals with commitment to ethical standards of profession, teamwork and respect for diverse cultural backgrounds.
Graduates will be engaged in ongoing learning and professional development through pursuing higher education and self-study.
Graduates will be committed to creative practice of engineering and other professions in a responsible manner contributing to the socio-economic development of the society.
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems. (OK)
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4) (OK)
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. (WK5) (OK)
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6) (OK)
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. (WK1, WK5, and WK7).
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
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
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.
Recognize the need for, and have the preparation and ability for
Apply design and development principles in the construction of software systems of varying complexity.
An ability to develop AI based solutions in the domain of data, system and network engineering.
Mrs. Renuka Sangali -
0836-2378221Mrs. Renuka Sangali -
9448564580Dr. Arunkumar G S -
9964261970