DEPARTMENT : ARTIFICIAL INTELLIGENCE &
DATA SCIENCE

About Us

Department of Artificial Intelligence & Data Science

AI and Data Science are the key enablers for disruptive innovations of this century, these emerging technological revolutions have reshaped our work and life style. From the start of June 2021, VPPCOE &VA, Mumbai establishes a new department “Artificial Intelligence and Data Science”. The department will be driven by its commitment to excel in research, design and development of next generation cutting-edge technologies in the area of Artificial Intelligence and Data Analytics. Our mission is to cultivate Industry-Academia partnership, drive collaborative research with other domains and equip our talents to contribute on multi-disciplinary projects by translating the developed technology into real world impact. 

The unique undergraduate program, B.E. Artificial Intelligence and Data Science (AI & DS), aims the students to acquire technical skills to perform data processing, analysis and visualization in multiple real-time applications.  Program envisions to equip students with the ability to identify and assess societal, health, safety and cultural issues with an emphasize on identifying their consequent responsibilities as engineers of offering optimal and effective solutions for the same.

The designed curriculum is interdisciplinary at the core – straddling computer Science blended with Mathematical Foundations, Artificial Intelligence Techniques, Machine Learning Principles, Statistical Methods, Data Science Philosophies, and their applications across multiple domains. Curriculum also covers on sub-field such as Big Data Analytics, Deep Learning and Computer Vision and Pattern Recognition. This programme offers value added professional courses such as:

• Artificial Intelligence and Machine Learning

• Digital Forensic

• Data Science

• Artificial Intelligence for Cyber Security.

The curriculum assures to provide opportunities for students to explore a number of transdisciplinary specialization areas including Digital Reality, Visual Computing, Communications and Networking, Proficiency in Languages and cutting-edge Technologies pertaining to Data Sciences, Robotics, and smart IOT Projects. The program allows its students to venture into a management specialization courses like Entrepreneurship skill Development, Ethics and Policy Issues in AI Computing which emphasizes on both AI and Management studies for the scope of entrepreneurial pursuits.

Vision of Artificial Intelligence and Data Science Department

To promote innovative research and consultancy through effective teaching and learning processes to develop emerging technology solutions for the benefits of industry and society.

Mission of Artificial Intelligence and Data Science Department

Imparting quality value based technical education and produce technology professionals with innovative thoughts and leadership skills.

Strengthening the core competence in the domain of Artificial Intelligence and Data Science.

Enabling the graduates to adapt to the evolving technologies through strong fundamentals.

Program Educational Objectives (PEOs)

After 3 to 4 years of graduation, the graduates will be :

Create highly skilled graduates equipped with a strong knowledge in the field of Artificial intelligence (AI) and Data Science (DS) for creating innovative solutions.

Create engineers to be able to use and develop software systems in complex data intensive and AI related applications.

Demonstrate professionalism in graduates and reflect on personal performance and self-management processes as a means of continued professional development and lifelong learning in areas of emerging technologies.

Program Outcomes (POs)

The graduates of this program will be able to :

PO1
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering
specialization to the solution of complex engineering problems.
PO2
Problem analysis
Identity, formulate complex engineering problems reaching substantiated conclusions using principles of Computer Engineering.
PO3
Design/development of solutions
Design / develop solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the society.
PO4
Conduct investigations of complex problems
Use knowledge for the design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PO5
Modern tool usage
Create, select and apply appropriate techniques and modern engineering tools, including predictions and modeling to complex engineering activities with an understanding of the limitations.
PO6
The engineer and society
Apply the knowledge to assess social issues and the responsibilities relevant to engineering practices.
PO7
Environment and Sustainability
Understand the impact of the professional engineering solutions in social and environmental contexts, and demonstrate the knowledge for sustainable development.
PO8:
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual and teamwork
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
Communication
Communicate effectively such as being able to comprehend and write effective reports and design documentation, make effective presentations.
PO11
Project management and finance
Demonstrate knowledge and understanding of the engineering and management skills and apply the skills to manage projects effectively.
PO12 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.

Program Specific Outcomes (PSOs)

Graduates should be able to evolve AI based efficient domain specific processes for effective decision making in several domains.

Graduates should be able to arrive at actionable insight from data for solving engineering problems.

Graduates should be able to create and apply the theoretical knowledge of AI and DS along with practical industrial tools and techniques to solve societal problems.

Department Summary

Branch started in the year: 2021-2022

Intake Capacity: 60 Seats

Lateral entry at SE (Direct admission after diploma): 09

Departmental Advisory Board (DAB)

Name of the Member
Designation
Dr. Pramod Bhavarthe
Chairperson , Head of Department
Mr. Umesh Mahid
Industry Representative
Dr. H.K.Chavan
Academician
Dr. Dhanjay Kalbande
Academician
Mr. Suresh Raghunath Nikam
Parent Representative
Prof. Rajesh Khotre
Faculty Representative
Prof. Rajesh Morey
Faculty Representative
Dr. Suvarna Bhise
Member Secretary
Ms. Pooja Samir Garai
Student Representative

Program Assessment & Quality Improvement Committee (PAQIC)

Name of the Member
Designation
Dr. Pramod Bhavarthe
Chairperson , Head of Department
Dr. Suvarna Bhise
Academic Committee Member
Prof. Rajesh Khotre
Member Faculty
Prof. Rajesh Morey
Member Faculty
S.E Class Advisor
Member Faculty

Professional Bodies affiliated to the Department

List of Professional Bodies
AI&DS Students Association
IETE