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:
An ability to apply knowledge of computing, mathematics including discrete mathematics as well as probability and statistics, science, and engineering and technology; - Problem Analysis :
An ability to define a problem and provide a systematic solution with the help of conducting experiments, as well as analyzing and interpreting the data; - Design / Development of Solutions:
An ability to identify, formulate, and provide systematic solutions to complex engineering problems; - Conduct investigations of complex problems: :
An ability to use the techniques, skills, and modern engineering technologies tools, standard processes necessary for practice as an IT professional; - Modern Tool Usage :
An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modelling and design of computer-based systems with necessary constraints and assumptions; - The Engineer and Society :
An ability to analyze the local and global impact of computing on individuals, organizations and society; - Environment and Sustainability :
An ability to analyze the local and global impact of computing on individuals, organizations and society; - Ethics :
An ability to function effectively as an individual or as a team member to accomplish a desired goal. - Individual and Team Work :
An ability to engage in life – long learning and continuing professional development to cope up with fast changes in the technologies/tools with the help of electives, professional organizations and extra – curricular activities; - Communication :
An ability to communicate effectively in engineering community at large by means of effective presentations, report writing, paper publications, demonstrations; - Project Management & Finance :
An ability to understand engineering, management, financial aspects, performance, optimizations and time complexity necessary for professional practice; - Lifelong learning :
An ability to apply design and development principles in the construction of software systems of varying complexity.