Course Code: 6
This demanding curriculum focuses on building a foundational understanding of mathematics and computer science courses that serve as the program's cornerstones. It also offers courses on the essential ideas and technologies of AI and machine learning, preparing students for the
workforce with machine learning and data science expertise.
With the government moving closer to digitization and many companies stepping up their efforts to undergo digital transformation, the need for AI skills is predicted to rise. Therefore, upon their successful completion of this course, students have a great chance of being affiliated with globally recognized industries.
The AI and ML engineering branch focuses on developing and applying algorithms and computational techniques to enable machines to perform tasks that typically require human intelligence. This field combines principles from computer science, statistics, and data analysis to create systems that can learn from data, make decisions, and improve over time.
Professionals in this field work on developing innovative solutions that address complex problems across various industries, including healthcare, finance, automotive, and entertainment. The ultimate goal is to create intelligent systems that enhance human capabilities and contribute to the progress of society.
The CSE(AI & ML) department was established in 2022. The department offers regular undergraduate program in “ computer science and engineering(AI & ML)” having intake of 120, affiliated to University of Mumbai.
The department has young dynamic, qualified and experienced teaching faculty and non-teaching staff with well-equipped laboratories. The students and teaching faculties are actively involved in research and project-based learning.
All technical activities of the department are conducted by the student professional body.
Duration: 4 years, Full Time
Academic Year: 2 semesters each
Sanctioned Intake: 120
Exam Structure: Theory, Practical, Oral, Term Work
Theory Exam: Conducted by University of Mumbai
Vision
- To develop competent and skilled professionals in the field of Artificial Intelligence & Machine Learning with leadership qualities by emphasizing on quality education to serve industry and
society..
Mission
Program Educational Objectives (PEOs)
Programme Specific Outcomes
Programme Outcomes
Engineering Graduates will be able to:
Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
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.
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.
understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
Function effectively as an individual and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.
