B.Sc AI & DS

B.Sc Artificial Intelligence and Data Science

RATHINAM @ KOVILPALAYAM Campus

The B.Sc. in Artificial Intelligence and Data Science, a prominent program at Rathinam, was established in 2015, boasting a team of expert faculty versed in various fields such as Textile Sciences, Sketching, Fashion Studies, Pattern Making and Sewing, Innovative Draping, and Fashion Business Management. The program aims to prepare students for success in the dynamic Fashion Industry.

This interdisciplinary program emphasizes design conceptualization, garment construction, and entrepreneurial practices in fashion through a blend of academic and experiential learning. Our comprehensive curriculum integrates classroom teachings with real-world industrial exposure facilitated by our in-house fashion design studio, APHRODITE’S DRAPE. This unique setup empowers students to master the craft and intricacies of the fashion business, ensuring they are well-equipped to thrive in the industry.

The tailored workshops, seminars, guest lectures, and field trips are strategically crafted to facilitate your initial steps into the realm of artificial intelligence and data science. Our department is fully equipped with specialized laboratories including Draping Lab, Sewing Lab, Textile Dyeing and Testing Lab, Sketching Lab, CAD Lab, and a Design Studio, all aimed at honing the skills of our students in this dynamic field.

About the Department

The Department of Artificial Intelligence and Data Science at TIPS is at the forefront of innovative education and research in the fields of AI and data science.

Established with a vision to prepare students for the challenges and opportunities presented by the digital age, the department offers a comprehensive and cutting-edge curriculum designed to equip students with the skills and knowledge necessary to succeed in this rapidly evolving field.

Strength of the Department

  • Expert Faculty: Our department comprises experienced and highly qualified faculty members who are experts in the fields of artificial intelligence and data science. They bring a wealth of knowledge and industry experience to the classroom, ensuring that students receive the highest quality education.
  • State-of-the-Art Infrastructure: We provide students with access to state-of-the-art labs equipped with the latest software and hardware tools used in AI and data science research and development.
  • Industry Partnerships: We have established strong partnerships with leading companies in the AI and data science sectors, providing students with opportunities for internships, projects, and placements.
  • Hands-on Learning: Our curriculum emphasizes practical, hands-on learning experiences, including projects, case studies, and internships, allowing students to apply theoretical concepts to real-world problems.

 

Program Objective

The B.Sc Artificial Intelligence and Data Science program aims to provide students with a strong foundation in the principles, techniques, and applications of artificial intelligence and data science. Through a combination of theoretical knowledge and practical skills, students will be prepared to tackle complex challenges in areas such as machine learning, data analysis, natural language processing, and computer vision.

Program Educational Objectives

Technical Proficiency

To equip students with a deep understanding of the theories, algorithms, and tools used in artificial intelligence and data science, enabling them to develop innovative solutions to real-world problems.

Critical Thinking

To foster critical thinking and analytical skills, allowing students to evaluate and interpret data effectively and make informed decisions.

Communication and Collaboration

To cultivate effective communication and teamwork skills, enabling students to collaborate with interdisciplinary teams and effectively communicate their ideas and findings to diverse audiences.

Ethical and Social Responsibility

To instill a sense of ethical and social responsibility in students, encouraging them to apply AI and data science technologies in ways that benefit society while minimizing potential risks and ethical dilemmas.

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