SGU University

About Department

HOD's Desk

It gives me immense pleasure to welcome you to the Department of Artificial Intelligence and Data Science at Sanjay Ghodawat University. With the world moving rapidly towards an AI-driven economy, this program is a unique initiative to empower students with the knowledge and skills required to become innovative technologists, researchers, and entrepreneurs.

Our tie-up with NxtWave of Innovation in Advanced Technologies bridges the gap between academia and industry, ensuring that students learn not just theory but also its application in solving real-world challenges. The department focuses on holistic development through rigorous academics, industry-driven projects, internships, aptitude building, and communication skills. I firmly believe that our students will emerge as industry-ready professionals and responsible citizens who will contribute meaningfully to society

“WISH YOU ALL THE BEST”

Mr. Gurunath Machhale
Head of Department

Vision

To be a center of excellence in Artificial Intelligence and Data Science education and research, fostering innovation, entrepreneurship, and societal impact through the creation of industry-ready professionals and lifelong learners

Mission

To provide quality education in Artificial Intelligence, Data Science, and emerging technologies through a well-structured curriculum and innovative pedagogy.
To foster industry-academia collaboration for skill development, internships, and real-world project exposure.
To nurture critical thinking, problem-solving abilities, and research aptitude among students.
To inculcate ethical values, communication skills, and social responsibility for holistic personality development.
To encourage innovation, entrepreneurship, and continuous learning for addressing global challenges.

PEO, PO and PSO

Program Educational Objectives (PEOs)

Program Outcomes (POs)

Program Specific Outcomes (PSO)

Program Educational Objectives (PEOs)

Excel in professional careers or higher studies in Artificial Intelligence, Data Science, and related domains
Apply problem-solving, analytical, and technical skills to design effective AI/ML and data-driven solutions.
Demonstrate leadership, teamwork, and effective communication in multidisciplinary environments.
Pursue lifelong learning to adapt to emerging technologies and evolving industry needs.
Contribute ethically and responsibly to society, industry, and the global community through innovative practices.

Program Outcome (POs)

Engineering knowledge : Apply knowledge of mathematics, science, engineering fundamentals, and core computer concepts to AI & DS problems.
Problem analysis : Identify, formulate, and analyze complex computing and engineering problems.
Design/development of solutions : Design solutions and system components that meet desired specifications considering public health, safety, and environmental concerns.
Conduct investigations of complex problems : Use research-based knowledge, data analysis, and experimental methods to draw valid conclusions.
Modern tool usage Apply modern computing tools, frameworks, and platforms for AI, data science, and software development.
The engineer and society : Assess societal, legal, and cultural issues relevant to professional engineering practice.
Environment and sustainability : Understand the impact of AI & DS solutions in societal and environmental contexts and demonstrate sustainable practices.
Ethics : Apply ethical principles and commit to professional responsibilities in technology-driven environments.
Individual and team work : Function effectively as an individual, and as a member or leader in multidisciplinary teams.
Communication : Communicate effectively with technical and non-technical stakeholders through reports, presentations, and documentation.
Project management and finance : Demonstrate knowledge of management principles and apply them in project execution and entrepreneurial initiatives
Life-long learning : Recognize the need for and engage in independent and continuous learning in the context of technological change

Program Specific Outcomes(PSOs)

Design, develop, and deploy AI and Data Science solutions : Design, develop, and deploy AI and Data Science solutions by leveraging machine learning, deep learning, cloud computing, and modern software engineering practices to address real-world challenges across industries.

About SGU . Student . Infrastructure . Feedback . Download . Contact Us

About Department

HOD's Desk

“WISH YOU ALL THE BEST”

Mr. Gurunath Machhale
Head of Department

Vision

To be a center of excellence in Artificial Intelligence and Data Science education and research, fostering innovation, entrepreneurship, and societal impact through the creation of industry-ready professionals and lifelong learners

Mission

To provide quality education in Artificial Intelligence, Data Science, and emerging technologies through a well-structured curriculum and innovative pedagogy.
To foster industry-academia collaboration for skill development, internships, and real-world project exposure.
To nurture critical thinking, problem-solving abilities, and research aptitude among students.
To inculcate ethical values, communication skills, and social responsibility for holistic personality development.
To encourage innovation, entrepreneurship, and continuous learning for addressing global challenges.

PEO, PO and PSO

Program Educational Objectives (PEOs)

Program Outcomes (POs)

Program Specific Outcomes (PSO)

Program Educational Objectives (PEOs)

Excel in professional careers or higher studies in Artificial Intelligence, Data Science, and related domains
Apply problem-solving, analytical, and technical skills to design effective AI/ML and data-driven solutions.
Demonstrate leadership, teamwork, and effective communication in multidisciplinary environments.
Pursue lifelong learning to adapt to emerging technologies and evolving industry needs.
Contribute ethically and responsibly to society, industry, and the global community through innovative practices.

Program Outcome (POs)

Engineering knowledge : Apply knowledge of mathematics, science, engineering fundamentals, and core computer concepts to AI & DS problems.
Problem analysis : Identify, formulate, and analyze complex computing and engineering problems.
Design/development of solutions : Design solutions and system components that meet desired specifications considering public health, safety, and environmental concerns.
Conduct investigations of complex problems : Use research-based knowledge, data analysis, and experimental methods to draw valid conclusions.
Modern tool usage Apply modern computing tools, frameworks, and platforms for AI, data science, and software development.
The engineer and society : Assess societal, legal, and cultural issues relevant to professional engineering practice.
Environment and sustainability : Understand the impact of AI & DS solutions in societal and environmental contexts and demonstrate sustainable practices.
Ethics : Apply ethical principles and commit to professional responsibilities in technology-driven environments.
Individual and team work : Function effectively as an individual, and as a member or leader in multidisciplinary teams.
Communication : Communicate effectively with technical and non-technical stakeholders through reports, presentations, and documentation.
Project management and finance : Demonstrate knowledge of management principles and apply them in project execution and entrepreneurial initiatives
Life-long learning : Recognize the need for and engage in independent and continuous learning in the context of technological change

Program Specific Outcomes(PSOs)

Design, develop, and deploy AI and Data Science solutions : Design, develop, and deploy AI and Data Science solutions by leveraging machine learning, deep learning, cloud computing, and modern software engineering practices to address real-world challenges across industries.

About SGU . Student . Infrastructure . Feedback . Download . Contact Us

Faculty

Department of Law (Legal Studies)

Department of Media

Artificial Intelligence & Data Science Department

About Department

HOD's Desk

Vision

To be a center of excellence in Artificial Intelligence and Data Science education and research, fostering innovation, entrepreneurship, and societal impact through the creation of industry-ready professionals and lifelong learners

Mission

PEO, PO and PSO

Program Educational Objectives (PEOs)

Program Outcome (POs)

Program Specific Outcomes(PSOs)

Faculty

Department of Law (Legal Studies)

Department of Media

Artificial Intelligence & Data Science Department

About Department

HOD's Desk

Vision

To be a center of excellence in Artificial Intelligence and Data Science education and research, fostering innovation, entrepreneurship, and societal impact through the creation of industry-ready professionals and lifelong learners

Mission

PEO, PO and PSO

Program Educational Objectives (PEOs)

Program Outcome (POs)

Program Specific Outcomes(PSOs)