DEPARTMENT

Artificial Intelligence (AI) and Data Science

Vision


To emerge as a center of excellence in Artificial Intelligence and Data Science education,
innovation, and research by nurturing globally competent, ethical and industry-ready professionals.

Mission

  • To impart fundamental and advanced knowledge in Artificial Intelligence and Data Science with
    a focus on enhancing analytical thinking, problem-solving abilities and technical competence.
  • To cultivate a research-driven educational ecosystem through collaborative and
    multidisciplinary learning, fostering research aptitude, innovation and lifelong learning among
    students and faculty.
  • To instill ethical values, social responsibility and professionalism among students, enabling
    them to contribute responsibly to society and the nation.

Message from HOD

DIEMS • AI & DS
Dr. Vijayendra S. Gaikwad

Welcome to the Department of Artificial Intelligence and Data Science. As the Head of the Department, I, Dr. Vijayendra Gaikwad, take immense pride in leading a department that stands at the intersection of intelligent computing, AI-driven interdisciplinary research and technological evolution. In today’s data-driven world, Artificial Intelligence and Data Science are not just disciplines—they are transformative forces reshaping industries, redefining problem-solving and driving the next wave of digital transformation, innovation and intelligent decision-making across diverse sectors.

This transformative potential has opened up vast career opportunities for students in Artificial Intelligence and Data Science across both public and private sectors. AI and Data Science professionals are increasingly contributing to diverse domains such as business analytics, healthcare, manufacturing, finance, e-commerce, social networking, gaming, sports and entertainment.

The field offers a wide spectrum of career pathways, innovative job roles and research avenues such as Data Scientist, Data Analyst, Artificial Intelligence Engineer, Machine Learning Engineer, AI Research Scientist, Software Developer, AI Solutions Architect and AI/ML Specialist, making skilled professionals in these domains highly sought after globally.

The bachelor degree programme in Artificial Intelligence & Data Science (AI & DS) has been established in the academic year 2026-2027 with an intake capacity of 60. The department is committed to fostering a dynamic, research- and industry-oriented learning ecosystem that promotes analytical thinking, innovation through problem-solving, and interdisciplinary collaboration.

With the active involvement of industry experts and academic leaders, the department continuously strives to align its academic practices and curriculum with evolving technological and industry requirements. The curriculum is thoughtfully designed to integrate core computer science principles with Artificial Intelligence, Machine Learning, Data Science, statistical methods and mathematical foundations.

The Department of Artificial Intelligence and Data Science provides state-of-the-art infrastructure through well-equipped laboratories, high-configuration computing systems and the latest open-source tools and technologies to support teaching, learning, innovation and research. Through outcome-based and hands-on learning approaches, the department aims to equip students with quality education, technical expertise, analytical abilities and ethical awareness required to develop intelligent solutions for real-world problems in the diverse domains of Artificial Intelligence and Data Science.

We invite you to be part of this journey– where curiosity meets innovation and intelligence shapes the future.

Warm Regards, Dr. Vijayendra S. Gaikwad Head, Department of AI & DS
Email: hodaids@dietms.org
Mobile: +919049081101

Program Outcomes

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ENGINEERING KNOWLEDGE
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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PROBLEM ANALYSIS
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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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 the public health and safety, and the cultural, societal, and environmental considerations.
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CONDUCT INVETIGATIONS 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.
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MODERN TOOL USAGE
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.
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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.
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ENVIRONMENT AND SUSTAINABILITY
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
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ETHICS
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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INDIVIDUAL AND TEAM WORK
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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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.
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PROJECT 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.
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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 Educational Objectives (PEOs)

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PEO 1
Apply knowledge of Artificial Intelligence, Data Science, and related domains to develop intelligent solutions addressing complex real-world problems across diverse professional environments.
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PEO 2
Establish prosperous careers in industry, academia, or entrepreneurship, pursue higher education and research, and engage in lifelong learning by adapting to evolving technologies and interdisciplinary domains.
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PEO 3
Demonstrate professional ethics, leadership qualities, effective communication and teamwork skills in collaborative environments while contributing responsibly and sustainably to industry, society and the global community.

Program Specific Outcomes (PSOs)

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PSO 1
Demonstrate proficiency in collecting, cleaning, analyzing diverse real-world datasets and effectively communicate the extracted meaningful insights, using state-of-the-art tools and techniques.
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PSO 2
Apply fundamental and advanced concepts of Artificial Intelligence, Data Science and Machine Learning and related domains to design, develop and evaluate intelligent data-driven solutions for real-world problems by leveraging Open-Source tools and technologies.
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PSO 3
Exhibit multidisciplinary adaptability, interpersonal skills and adherence to ethical practices relevant to the Artificial Intelligence and Data Science domain.