MAHATH AMMA INSTITUTE OF ENGINEERING AND TECHNOLOGY

The Department of Artificial Intelligence and Data Science was established in the year 2023.

As a specialized branch of global technology, the B.Tech in AI & DS has a huge scope for growth with ample opportunities to make a mark.

AI & DS stream has a lot of potential as Startups apart from Job Opportunities as most of the technology startups are having AI & DS integration.

The students competing to acquire CSE-related opportunities will also have AI & DS Specialization opportunities with salary packages ranging from 4 LPA to 45 LPA. The department continues to grow at a rapid pace in terms of academic activities, publications, and national and international service and recognition.

The Department regularly organizes a series of lectures by academicians and professionals of the highest repute, which lay stress on the latest innovative technologies in the field of Artificial Intelligence and Data Science, The Department is partnered with IIT-Bombay for setting up a laboratory and organizing workshop and seminar designed with world-class curriculum. It provides state-of-the-art research, instructional, and laboratory facilities.

Vision

To be a globally recognized center of excellence in the field of Artificial Intelligence and Data Science that produces innovative visionaries and research experts capable of addressing complex real-world challenges and contributing to the development of the nation.

Mission

To provide cutting-edge education in the field of Artificial Intelligence and Data Science that is rooted in ethical and moral values.
To establish strong partnerships with industries and research organizations in the field of Artificial Intelligence and Data Science, and to excel in the emerging areas of research by creating innovative solutions.
To instill a sense of social responsibility in our students and inspire them to use their knowledge and skills for the furtherance of society.
To inspire and guide our students to become entrepreneurs in the field of Artificial Intelligence and Data Science, and to develop an entrepreneurial mindset that fosters innovation and creativity.

OUTCOMES

Program Educational Objectives(PEO)

1 Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science, and statistics to build systems that require management and analysis of large volumes of data.
2 Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
3 Think logically, pursue lifelong learning, and collaborate with an ethical attitude in a multidisciplinary team
4 Design and model AI-based solutions to critical problem domains in the real world. Exhibit innovative thoughts and creative ideas for an effective contribution towards economy building.

Program Outcomes (POs)

1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
3 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, cultural, societal, and environmental considerations.
4 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.
5 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.
6 Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
7 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.
8 Communication: 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.
9 TProject 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.
10 Life-long learning: 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.

Program-Specific Outcomes (PSOs)

1 To analyze, design and develop solutions by applying foundational concepts of mechanical engineering.
2 To apply design principles and best practices for developing quality products for scientific and business applications.
3 To adapt to emerging information and communication technologies (ICT) to innovate ideas and solutions to existing/novel problems.