Computer Science and Engineering(Data Science)

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Computer Science & Engineering -Data Science Overview

Computer Science and Engineering - Data Science department offers a comprehensive education in data science within the context of computer science and engineering. Our motive is to equip students with the knowledge and skills to excel in the evolving field of data science.
The department prioritizes excellence in teaching and research, with expert faculty members providing valuable guidance. The curriculum covers key concepts in data analysis, machine learning, and statistical modelling, along with a solid foundation in computer science principles.
State-of-the-art facilities, including well-equipped computer labs, a comprehensive library,support learning and research activities. Collaboration and industry engagement areencouraged through real-world projects, internships, and interactions with industry professionals.
The department strives to create a stimulating and nurturing environment, preparing graduates to contribute significantly to the field of data science and meet industry demands.

Vision

“To be among renowned institution in Computer Science Engineering (CSE) education and research by developing globally competent graduates.”

Mission

To produce quality Engineering graduates by imparting quality training, hands on experience and value education.
To pursue research and new technologies in Computer Science Engineering and across interdisciplinary areas that extends the scope of Computer Engineering and benefit humanity.
To provide stimulating learning ambience to enhance innovative ideas, problem solving ability, leadership qualities, team-spirit and ethical responsibilities.

Programme Educational Objectives

To apply statistical data analysis and other data science techniques to effectively solve real-world problems.
To motivate & prepare students for lifelong learning and research to manifest global competitiveness.
To equip students with communication, team work and leadership skills to accept challenges in all facets of life ethically.

Programme Outcome

At the end of the program, a student will be able to:

Apply the knowledge of Mathematics, Science and Engineering Fundamentals to solve complex Data Science Problems.
Identify, formulate and analyze Data analysis Problems and derive conclusion using First Principle of Mathematics, Engineering Science and Computer Science.
Investigate Complex Data Science problems to find appropriate solution leading to valid conclusion.
Design a data science model, process to meet specified needs with appropriate attention to health and Safety Standards, Environmental and Societal Considerations.
Create, select and apply appropriate techniques, resources and advance Engineering software to analyze tools and design for Data Science Problems.
Understand the Impact of Data Science solution on society and environment for Sustainable development.
Understand Societal, health, Safety, cultural, Legal issues and Responsibilities relevant to Engineering Profession.
Apply Professional ethics, accountability and equity in Engineering Profession.
Work Effectively as a member and leader in multidisciplinary team for a common goal.
Communicate Effectively within a Profession and Society at large.
Appropriately incorporate principles of Management and Finance in one’s own Work.
Identify educational needs and engage in lifelong learning in a Changing World of Technology.

Programme Specific Objectives

Identify, understand, formulate and analyse complex engineering problems in the field of Data Analysis, Big Data, Database Management, Predictive Analysis, Trends Identification and Identifying Business Insights.
Acquire, Store, Retrieve, Process and finally convert data into knowledge in the field of artificial intelligence, data mining, network management and security, and Internet of Things applications through use of secure, reliable and cost effective state of art Analysis tools efficiently.

TopperList

Sr.No	Years
1	2022-23	Download
2	2021-22	Download

Student Activities

Sr.No	Years
1	2022-23	Download
2	2021-22	Download

Project

Sr.No	Years
1	2022-23	Download
2	2021-22	Download

COs

Lab

Sr.No	Laboratory Name
1	WEB COMPUTING LAB
2	OPEN SOURCE TECHNOLOGY LAB
3	RESEARCH INNOVATION LAB
4	DATA ANALYTICS LAB
5	DIGITAL LAB
6	PROJECT LAB

Academics

Faculty

Dr. Yogesh Jadhav

Visiting Faculty

Prof. Neha Mahajan

Assistant Professor

Prof. Sarita S. Kale

Assistant Professor

Prof. Mitrakshi Patil

Assistant Professor

Prof. Vaibhav Dhage

Assistant Professor

Prof. Jayshree Bankar

Assistant Professor

Prof. Komal Sharma

Assistant Professor

Prof. Gaytri Dharap

Assistant Professor

Prof. Vandana Sharma

Assistant Professor

Prof. Vinod Zala

Assistant Professor

Prof. Diksha Bombe

Assistant Professor

Admission Contact

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Admission Contact

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Admission Contact

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