Artificial Intelligence & Data Science Department
About Department
About Artificial Intelligence & Data Science Department
The Department of Artificial Intelligence & Data Science at Nutan Maharashtra Institute of Engineering & Technology (NMIET), Talegaon Dabhade, is committed to nurturing future-ready engineers with expertise in intelligent technologies and data-driven decision-making.
Highlights of the Department
- Vision: Empowering students with skills in AI, ML, Data Science, IoT & Deep Learning aligned with Industry 4.0.
- Programs: B.E. in AI & DS with 120 intakes, integrating theory, practical learning, and projects.
- Faculty: Qualified experts with strong research and industry experience.
- Infrastructure: Advanced facilities supporting hands-on learning and innovation.
- Industry Tie-ups: Collaborations with leading tech companies for training & certifications.
- Innovation: Active in patents, publications, consultancy, and funded projects.
- Students: Regular achievers in hackathons, start-up competitions, and innovation contests.
- Careers: Alumni in top MNCs and global higher education programs.
- Impact: AI-driven solutions addressing sustainability and societal challenges
Our Commitment :
The Department stands at the forefront of innovation, research, and skill development, equipping students with the technical knowledge, ethical grounding, and creativity to become leaders in the AI-driven future.
Overview of the Department
The Department stands at the forefront of innovation, research, and skill development, equipping students with the technical knowledge, ethical grounding, and creativity to become leaders in the AI-driven future.
- Year of Establishment: U.G.: 2024-2025
- Intake: 120 Seats
- DTE Code: 631099510
- Affiliated to: Savitribai Phule Pune University, Pune.
Our Department Vision
To be a pioneer in Artificial Intelligence and Data Science education and research, empowering students to become innovators, entrepreneurs, and socially responsible leaders who create intelligent solutions for a sustainable and inclusive future.
Our Department Mission
- To deliver quality education in Artificial Intelligence and Data Science with strong theoretical and practical foundations.
- To promote research, innovation, and patents in emerging technologies for sustainable solutions.
- To strengthen industry collaboration through internships, projects, and skill-based training.
- To instill ethical values and social responsibility, applying AI for the benefit of society.
Program Educational Objectives
- PEO1:To produce graduates equipped with cutting-edge skills in Artificial Intelligence (AI) and Data Science (DS), with expertise in domains such as Machine Learning (ML), Natural Language Processing (NLP), Generative AI, enabling them to collaborate effectively in interdisciplinary teams to solve real- world industrial and societal challenges.
- PEO2: To empower graduates to think critically, apply mathematical, computational, and ethical frameworks, and design scalable, secure, and fair AI- driven systems.
- PEO3: To inculcate the ability to adapt to changing technology through continuous learning and contribute to research, innovation, and entrepreneurship in AI and Data Science.
Program Specifics Outcomes (PSO)
- PSO 1:Demonstrate proficiency in essential concepts of computer science and data science and programming solutions.
- PSO 2 : Formulate robust software design, execution, and testing strategies employing a software paradigms and Artificial Intelligence knowledge to solve real word problems.
- PSO3: Apply the techniques of AI and Data Science for forecasting future events in the domain of Healthcare, Education, and Agriculture, Automation, Transport etc. )
Program Outcome (POs)
The students in the course will attain:
- Engineering Knowledge:
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.; - Problem Analysis :
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.; - Design / Development of Solutions:
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.; - Conduct investigations of complex problems: :
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.; - Engineering Tool Usage :
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.; - The Engineer and The World :
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. - Ethics :
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. - Individual and Collaborative Team Work :
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.; - Communication :
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences; - Project Management & Finance :
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.; - Lifelong learning :
Recognize the need for, and have the preparation and ability for i) independent and life- long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.