The B.E in Artificial Intelligence and Machine Learning at ASM NextGen Technical Campus is a four-year degree program that equips students with advanced skills in intelligent data analysis—essential in numerous real-world applications. With rapid advancements in technology, machine learning has emerged as one of the most dynamic, high-growth, and rewarding career paths in the tech industry.
This program is designed to provide students with a strong foundation in core technologies such as artificial intelligence, data mining, and data modeling, along with intensive training in machine learning and big data analytics. By the end of the course, students will develop cross-disciplinary expertise across statistics, computer science, logic, and machine learning.
Graduates will be well-prepared for careers in high-impact sectors such as healthcare, business, eCommerce, social media, climatology, biotechnology, genetics, and more. The program emphasizes proficiency in statistical and mathematical reasoning, machine learning techniques, knowledge discovery, and data visualization—skills that are highly valued in today’s AI-driven world.
4 Years
60 Students
1635592110
Our programme is designed to develop technically competent, innovative and responsible graduates prepared for professional careers, higher education and lifelong learning.
Graduates of the Programme will leverage Engineering fundamentals in their successful careers.
Graduates of the Programme will exhibit innovation and technological competence in computing all through their careers.
Graduates of the Programme will perform to the expectations of employers, explore the opportunities for higher studies and/or show the awareness of self-business challenges.
Graduates of the Programme will demonstrate ethical practices, lifelong learning with the awareness of needs of the society.
Engineering graduates will be able to apply their knowledge, technical skills and professional capabilities to complex engineering challenges.
Apply the 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 the 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 the 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.
Programme-specific capabilities that graduates are expected to develop through their academic and practical learning.
Graduates will be able to apply problem solving skills through programming techniques for addressing real life problems using suitable Data Structures and Algorithms.
Graduates will be able to apply Software Development Life Cycle and knowledge of Data Analytics, Artificial Intelligence, Computer Vision, Web Technology, Computer Network & Security to provide innovative computing solutions.