Artificial Intelligence and Data Science Engineering

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Welcome to the Artificial Intelligence and Data Science Department !!

The Department of AI & DS at MMCOE is at the forefront of integrating advanced AI technologies with data-driven insights. We are dedicated to advancing knowledge and innovation in AI and data-driven technologies. We prepare students to excel in a rapidly evolving digital landscape through a rigorous curriculum, hands-on experience, and industry collaboration.

The department of AI & DS is established in the Academic Year 2021-2022. This is a 4-year degree course approved by AICTE, New Delhi under Savitribai Phule Pune University (SPPU). The department is offering undergraduate program with an intake of 120 under autonomous status.

At the AI & DS department, we prioritize a hands-on learning experience. Students engage in projects, workshops, internships and competitions that enhance their practical skills and prepare them for future challenges. We promote student-led research initiatives, offering support for projects that often lead to publications in prestigious conferences and journals. Our vibrant community fosters collaboration, innovation, and lifelong learning.

We host a variety of workshops and seminars covering topics such as Machine Learning Fundamentals, Advanced Data Analytics Techniques, Ethical AI Practices. We regularly invite industry leaders and experts to share insights on the latest trends and technologies in AI and data science. Students are encouraged to participate in national and international competitions, showcasing their skills and creativity in AI applications.

We are committed to using AI for societal benefits with projects aimed at addressing local challenges. The AIDS department not only aims to equip students with technical skills but also emphasizes innovation, collaboration, and real-world application of knowledge, preparing them for future careers in technology and engineering. We focus on the holistic development of students, ensuring they are well-rounded individuals prepared for the challenges of the future.

Top most AI companies

AI&DS Application Domain

Department Highlights

Pool of Highly qualified and experienced faculty members
Industry collaboration
Industry standard computing labs of Python, Machine Learning, C/C++, Advance Java, Data Analytics, Web Technology, Network, RDBMS, Image processing along with specialized lab in AR-VR
International placements and Internships
Student - Mentor System with more focus on Problem Solving Skill Enhancement
Technical events, Guest lectures, Seminars, Industrial visits,Workshops
Skill Development Programs
Well-equipped laboratories with advance systems, library and modern classrooms equipped with audio-visual aids and with connectivity in college as well as in hostel
Professional mentor to learn Foreign Languages : Japanese and German Language
Design Thinking Innovation Practice for students
Faculty and student participation in National and International Technical events

Vision

Excellence in the field of Artificial Intelligence and Data science.

Mission

To encourage the students for learning various AI & DS based tools & techniques.
To groom students technologically superior.
To educate students in a way to meet the needs of society.

Program Educational Objectives (PEOs)

Graduates from our program will:

PEO1: To educate and empower the students with problem-solving, analytical skills using the latest tools in the area of Artificial Intelligence & Data Science for a successful career.
PEO2: To inspire self-learning skills amongst students to carry out research, innovation, and pursue higher studies.
PEO3: To simplify training programs that associate the gap between academia and industry.
PEO4: To inculcate cultural, societal, professional, and ethical responsibilities amid the students.

Programme Outcomes (POs)

A Graduate of the Computer Engineering Program will be able to

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the Solution of Complex engineering problems.
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.
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.
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 for complex problems.
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.
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.
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.
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.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write elective reports and design documentation, make elective presentations, and give and receive clear instructions.
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.
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.

Programme Specific Outcomes (PSOs)

Graduates from our program will

Design and develop the computational models to solve multi-disciplinary problems in Artificial Intelligence
Provide a definite groundwork and augment their capabilities to succeed for employment, higher studies and research in Data Science with principled standards.