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Department of

Artificial Intelligence and Data Science Engineering

C-903 Programming Lab

C-905 Artificial Intelligence & Deep Learning Lab

C-907 Web Technology Lab

C-1102 Data Analytics Lab

C-1104 Data Structures Lab

C-1105 Machine Learning Lab

Artificial Intelligence and data science is an emerging branch of engineering and technology influencing industry, academics and research. The objective of this course is to train skilled AI and Data Science professionals. AI and Data Science are not confined to a specific industry and they will have the liberty to work in the areas of their interest. The main areas where Data Science and Artificial Intelligence professionals are in demand are Medicine, Space, Robotics, Automation, Marketing, Information management, Military activities, and many more.

Artificial intelligence (AI) refers to any human-like intelligence exhibited by a computer, robot, or other machine. In popular usage, artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind. Artificial Intelligence has grown to be very popular in today’s world. As technologies such as AI continue to grow, they will have a great impact on our quality of life.

Data is now the most valuable resource in the world. Data science (DS) is an emerging field of science that has multiple aspects – for one, it studies and examines a huge amount of data; for another, its branches extend in almost every field. Data science is founded on statistics, mathematics, and programming language. Artificial intelligence encapsulates the concepts of all three fields and acts as the brain of data science. Data science uses techniques, procedures, algorithms, rules, and tools from all these three components and works as a unified mechanism to solve the complex problems that arise in the world around us.

Artificial Intelligence and Data Science (AI-DS) undergraduate engineering course has been started by the institute from  July 2021 with the  intake capacity of 60 seats and it is now increased to 180 seats from July 2024.

Our Vision

To churn out graduates in the field of Artificial Intelligence and Data Sciences who would be instrumental in innovating practical business solutions for the Local and Global needs thereby leading the nation along the frontiers of emerging Technology.

Our Mission

M1: To promote an all-inclusive educational environment that aids the 360 degree development of the student.
M2: To develop competencies to address the real time Problems faced and research out practical implementable solutions in the fields of AI-DS and allied ones.
M3: To effectively apply the learning of AI-DS across varied multi-disciplines and imbibe the skills of a Life-Long Learner.

Program Educational Objectives (PEOs)

  1. PEO 1: Imbibe, learn and apply the skills and processes of AI and DS and related domains to develop intelligent machines, software solutions meeting the local and global needs.
  2. PEO 2:Cultivate lifelong learning skills to enable Students to adapt to rapidly evolving technologies in Artificial Intelligence and Data science and its allied domains.
  3. PEO 3: Positively contribute at various levels towards successful implementation of multi-disciplinary projects with effective communication and collaboration among the team members keeping legal, moral and ethical values in back-sight.

Program Specific Outcomes (PSOs)

  1. PSO 1: Ability to design and develop intelligent practical solutions using the logical and computational skillsets acquired in the domains of Artificial Intelligence, Data Sciences and other allied fields.
  2. PSO 2: Ability to meet the Data Science requirements of analyzing and mining of huge datasets, further applying the data science methods to recognize the under-lying patterns and correlations to facilitate decision making at various levels in any organization thereby enhancing the business aspect involved.
  3. PSO 3: Be open, receptive and adaptive to evolving and emerging technologies in the domain, exhibiting the skill sets required for Higher Education, Employability, Entrepreneurship and Life-Long Learning.

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Dr. Sanjay M. Patil

Head of Department, Artificial Intelligence and Data Science Engineering

Welcome to our Department of Artificial Intelligence & Data Science! Established in 2021-22 with an initial capacity of 60 seats, later expanded to 180 in 2024-25. Our focus is on AI and Data Science, offering ample employment opportunities in various roles. We strive for quality education, fostering AI/ML-based problem-solving skills in diverse fields. Our motivated faculty engages in research and professional development. Students gain practical exposure and are encouraged to participate in national and international competitions through SHAIDS (Students Hive of AI & Data Science). Wishing you a fulfilling learning experience!

Dr.Patil Sanjay Madhukarrao

Professor & HOD

Qualification: Ph.D. : Computer Science and Technology, M.E.: Electronics Engineering(Spec. in Computer Technology), B.E.: Electronics Engineering

Experience: 31+ years

Mr.Londhe Anil Satyadeo

Assistant Professor

Qualification: M.E. Electronics Engineering 2012

Experience: 21+ years

Dr.Jain Preeti Nitin

Assistant Professor

Qualification: Ph. D. Electronics Engineering 2022

Experience: 20+ years

Mrs.Chavan Deepali Sanjay

Assistant Professor

Qualification: M.E.Computer 2011

Experience: 10+ years

Mrs.Monal Nilesh Malge

Assistant Professor

Qualification: M.E. Computer 2017

Experience: 7+ years

Mrs.Neha Kunal Kale

Assistant Professor

Qualification: M.E. Computer 2015

Experience: 6+ years

Deepti Jeetu Janjani

Assistant Professor

Qualification: M.E. I.T.2021

Experience: 3+ years

Mrs. Vrushali Diwakar Dharmale

Assistant Professor

Qualification: M.E. I.T.2013

Experience: 9+ years

Mrs. Poonam Amit Kamble

Assistant Professor

Qualification: M.E.Computer Engineering

Experience: 3+ years

Mrs. Aarti Raman Sonawane

Assistant Professor

Qualification: M.E.Computer Engineering

Experience: 3+ years

Mrs. Swati Sankesh Parhad

Assistant Professor

Qualification: M. Tech Computer Engineering

Experience: 3+ years

Mrs. Amita Priyadarshan Suke

Assistant Professor

Qualification: M.E.Computer Engineering

Experience: 9+ years

Mrs. Irin Anna Solomon

Assistant Professor

Qualification: M.Tech in Network and Cyber Security

Experience: 3+ years

Mrs. Shraddha Anant Narhari(Kawji)

Assistant Professor

Qualification: M.E.Computer Engineering

Experience: 3+ years

Mrs. Anjali Devi Milind Patil

Assistant Professor

Qualification: M.E Computer Science and Engineering, Ph.D Computer Science and Engineering(Pursuing)

Experience: 17+ years