About Us
Established in the academic year 2020-2021, our department offers a comprehensive undergraduate program, B.Tech Artificial Intelligence and Data Science. This program is designed to provide students with knowledge and expertise in the rapidly growing fields of Artificial Intelligence (AI) and Data Science (DS).
AI-DS are interdisciplinary branches of science, engineering, and technology that are revolutionizing various sectors of the technical industry, academia, and research. Our program focuses on equipping students with the necessary skills to create intelligent machines and develop real-world applications using data analytics and visualization technologies. Machine Learning (ML), a subset of AI, enables computers to think and act like humans, while Deep Learning, a subset of ML, allows machines to make decisions and think in a manner similar to humans. By integrating these technologies, our students gain a deep understanding of AI and DS principles, enabling them to tackle complex challenges and drive innovation.
The field of Data Science plays a vital role in today's business landscape. With the exponential growth of data, businesses rely on advanced Big Data Analytics, statistical analysis, data extraction, manipulation, visualization, and data maintenance to identify trends, interpret results, and predict future outcomes. Our curriculum prepares students to be at the forefront of this data-driven revolution, empowering them to excel in the industry.
To serve the society by transforming young minds and preparing them for a bright future.
| Statements | Department Mission |
| Statement 1 | To create a holistic educational experience for students focused on subject knowledge, problem solving, inquisitiveness, leadership, communication and team skills. |
| Statement 2 | To nurture an environment committed to the free exchange of ideas where research, creativity, innovation, and entrepreneurship can flourish. |
| Statement 3 | To impact society in a transformative way by getting engaged with the external collaborators. |
After a few years graduates will be able to:
| PEO I | Apply skills required to design and develop solutions applicable in real life situations. |
| PEO II | Pursue successful and satisfying careers in the profession of their choice or enterprise. |
| PEO III | Pursue higher studies in related fields from recognized institutions. |
Students of the program will:
| PSO I | Exhibit proficiency in the field of Artificial Intelligence by developing intelligent systems |
| PSO II | Be accomplished in the field of data analytics, statistical programming languages and Machine learning |
| WK1: | A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences. |
| WK2: | Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline. |
| WK3: | A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline. |
| WK4: | Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline. |
| WK5: | Knowledge, including efficient resource use, environmental impacts, whole-life cost, reuse of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area. |
| WK6: | Knowledge of engineering practice (technology) in the practice areas in the engineering discipline. |
| WK7: | Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development. |
| WK8: | Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues. |
| WK9: | Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes. |
The graduates of this program will be able to:
| PO1 Engineering Knowledge (EK): |
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. |
| PO2 Problem Analysis (PA): |
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4) |
| PO3 Design/Development of Solutions (DS): |
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. (WK5) |
| PO4 Conduct Investigations of Complex Problems (IP): |
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8). |
| PO5 Engineering Tool Usage (ETU): |
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6) |
| PO6 The Engineer and The World (EW): |
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. (WK1, WK5, and WK7). |
| PO7 Ethics (Eth): |
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9) |
| PO8 Individual and Collaborative Team work (ICTw) |
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams. |
| PO9 Communication (Cm): |
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 |
| PO10 Project Management and Finance (PM): |
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. |
| PO11 Life-long Learning (LL): |
Recognize the need for, and have the preparation and ability for, |
The graduates of this program will be able to:
| PO\_01 Engineering Knowledge (EK): |
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
PO\_02 Problem Analysis (PA): |
Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| PO\_03 Design/Development of Solutions (DS): |
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. |
| PO\_04 Conduct Investigations of Complex Problems (IP): |
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. |
PO\_05 Modern Tool usage (MT): |
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations. |
| PO\_06 The Engineer and Society (ES): |
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. |
| PO\_07 Environment and Sustainability (Env): |
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| PO\_08 Ethics (Eth): |
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| PO\_09 Individual and Term Work (ITw): |
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
PO\_10 Communication (Cm): |
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. |
| PO\_11 Project Management and Finance (PM): |
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. |
| PO\_12 Life-long Learning (LL): |
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. |
Branch started in the year: 2020-21
| Academic Year | Intake |
| 2021-22 | 60 |
| 2023-24 | 120 |
| Sr. No. |
Name | Designation |
| 1 | Dr. Milind U. Nemade | Head of the Department concerned (Chairman) |
| 2 | Dr. Sanjay Shitole | Experts from outside parent university nominated by Academic council |
| 3 | Dr.Vaishali Kulkarni | Experts from outside parent university nominated by Academic council |
| 4 | Dr.Subhash Shinde | One expert to be nominated by the Vice-Chancellor |
| 5 | Mr. Akhil Hada | One Representative from Industry/Corporate Sector/ Allied area relating to Placement |
| 6 | Dr. Vaishali Wadhe | Member |
| 7 | Prof. Pankaj Deshmukh | Member |
| 8 | Prof. Medha Asurlekar | Member |
| 9 | Prof. Sejal Shah | Member |
| 10 | Dr.Vidya Sagvekar | Member |
| 11 | Dr. Sarika Mane | Member |
| 12 | Dr. Sheetal Jagtap | Member |
| 13 | Prof. Devanand Bathe | Member |
| 14 | Prof. Ganesh Wadmare | Member |
| 15 | Prof.Deepali Chavan | Member |
| 16 | Prof.Pravin Patil | Member |
| Sr. No. | Name of the Member | Designation |
| 1 | Dr. Milind Nemade, Head, Department of Artificial Intelligence and Data Science (AI-DS) | Chairperson |
| 2 | Dr. Vaishali Wadhe, Professor, AI-DS | Senior Faculty |
| 3 | Prof. Devanand Bathe, Assistant Professor, AI-DS | DQC and Program Assessment Committee Coordinator |
| 4 | Dr. Sheetal Jagtap, Assistant Professor, AI-DS | Academic Monitoring Committee Member |
| 5 | Prof. Sejal Shah, Assistant Professor, AI-DS | R&D coordinator of Dept. |
| 6 | Prof. Pankaj Deshmukh, Assistant Professor, AI-DS | Department Project Coordinator |
| 7 | Dr. Sarika Mane, Assistant Professor, AI-DS | Department Alumni Coordinator |
| 8 | Student members | -- |
| 9 | Student members | -- |
| Sr. No. | Name of the Member | Designation |
| 1 | Dr. Milind Nemade, Head, Department of Artificial Intelligence and Data Science (AI-DS) | Chairperson |
| 2 | Dr. Vaishali Wadhe, Professor, AI-DS | Senior Faculty Member |
| 3 | Prof. Devanand Bathe, Assistant Professor, AI-DS | Program Assessment Committee Coordinator |
| 4 | Dr. Sheetal Jagtap, Assistant Professor, AI-DS | Academic Monitoring Committee Member |
| 5 | Prof. Sejal Shah, Assistant Professor, AI-DS | R&D coordinator of Dept. |
| 6 | Prof. Ganesh Wadmare, Assistant Professor, AI-DS | Senior Faculty Member |
| 7 | Dr. Vidya Sagvekar, Assistant Professor, AI-DS | Senior Faculty Member |
| 8 | SY Class Coordinator | -- |
| 9 | TY Class Coordinator | -- |
| 10 | LY Class Coordinator | -- |
| Sr. No. | Name of the Member | Designation |
| 1 | Dr.Vaishali Wadhe | Chairperson |
| 2 | Prof.D.K.Bathe | Member (Faculty) |
| 3 | Dr.Vidya Sagvekar | Member (Faculty) |
| 4 | Prof.Deepali Chavan | Member (Faculty) |
| 5 | Mr.Sudhir Kasar | Lab Assistant |
| Sr. No. | Name of the Member | Designation |
| 1 | Dr.Milind Nemade | Chairperson |
| 2 | Prof.Sejal Shah | Coordinatior |
| 3 | Prof.D.K.Bathe | Coordinatior |