B.E. in Computer Science and Engineering
(Artificial Intelligence & Machine Learning)
The B.E. in CSE – Artificial Intelligence and Machine Learning programme prepares students to develop intelligent systems capable of learning, reasoning and decision-making. The curriculum combines computer science fundamentals with advanced AI technologies.
Students gain strong foundations in:
Programming and data structures
Artificial intelligence
Machine Learning
Deep Learning
Data Science
Natural Language Processing
Computer Vision
Cloud Computing
MESSAGE FROM HoD
Dr. Surbhi Agrawal
HoD, CSE (Artificial Intelligence & Machine Learning)
Welcome to the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning). Artificial Intelligence is transforming every sector—from healthcare and education to industry and governance—and our department is committed to preparing students to be leaders in this rapidly evolving technological landscape.
Our vision is to build a strong foundation in core computer science while equipping students with advanced knowledge in Artificial Intelligence, Machine Learning, Data Science, and emerging technologies. We emphasise experiential learning through hands-on laboratories, industry collaborations, research projects, hackathons, and innovation initiatives, enabling students to solve real-world problems using intelligent systems.
The department fosters a culture of research, creativity, and continuous learning. Our dedicated faculty members actively engage in research, publications, and industry collaborations to ensure students receive a relevant, future-ready education. We also encourage students to develop interdisciplinary skills, ethical responsibility, and an innovative mindset aligned with the vision of Atmanirbhar Bharat.
As a newly established department, we are committed to creating an ecosystem that nurtures academic excellence, innovation, and professional growth. We look forward to shaping competent engineers, researchers, and innovators who will contribute meaningfully to society and the global AI community.
Engineering Knowledge
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.
Problem Analysis
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
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. (WK5)
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 conclusions. (WK8).
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. (WK2 and WK6)
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. (WK1, WK5, and WK7).
Ethics
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
Individual and Collaborative Team work
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
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
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.
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. (WK8)
Programme Educational Objectives(PEOs)
PEO1
Impart strong foundation in solving hardware & software engineering problems and adapt to the changes in technology through continuous-learning.
PEO2
Inculcate innovation in new technologies and systems in their key domains thus encouraging them to pursue higher education and research.
PEO3
Disseminate their knowledge in advanced areas of Computer Science to become industry ready graduates or entrepreneurs.
PEO4
Exhibit professional ethics & values, effective communication and team work with a multidisciplinary approach to meet the needs of the society.
Programme Specific Outcomes(PSO)
PSO1
Analyse the core concepts by Computer Science Engineering for building intensive systems to improve efficiency with different algorithms and tools.
PSO2
Able to use professional, managerial and interdisciplinary skills in identifying the research gaps to develop cost effective and innovative solutions leading to automation.
Aligned with VTU Curriculum
Aligned with VTU Curriculum
| Sl. No | First Year | Second Year | Third Year | Fourth Year |
|---|---|---|---|---|
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1. |