Computer Science & Engineering
(Data Science)
Overview
The Bachelor of Engineering (B.E.) in Computer Science & Engineering with a specialization in Data Science at St. Peter's Engineering College is a focused undergraduate program designed to prepare students for the rapidly evolving field of Data Science. Data Science is an interdisciplinary domain that leverages scientific methods, techniques, and algorithms to convert large datasets into actionable insights. This program integrates key concepts from mathematics, statistics, and computer science, equipping students with the computational skills necessary to tackle real-world data-driven challenges.
At St. Peter's Engineering College, the 4-year B.E. program in Data Science combines core computer science courses with specialized subjects in Data Science. The curriculum covers essential areas such as mathematics, network security, computer vision, programming, communication networks, and advanced data science techniques. This comprehensive approach ensures that graduates gain the necessary expertise to build intelligent models and apply cutting-edge tools and systems used by Data Science professionals across various domains within Computer Science.
Vision
To develop skilled and socially responsible engineers in the field of Data Science, contributing to the progress of India and the global community.
Mission
DM 1 : To provide top-quality technical education in Computer Science, Engineering, and Data Science by fostering an innovative and technologically advanced learning environment.
DM 2 : To create an industry-aligned atmosphere by offering state-of-the-art infrastructure that supports success in a data-driven world.
DM 3 : To equip students to develop innovative and intelligent solutions using their data analysis expertise and advancements in high-performance computing.
DM 4 : To cultivate individuals with a deep sense of integrity and social responsibility.
Program Educational Objectives
PEO 1: Develop advanced expertise in data science and related technologies such as machine learning, predictive analytics, and data engineering.
PEO 2: Design and implement data-driven solutions to address real-world challenges in business, research, and social contexts.
PEO 3: Exhibit high standards of social and professional ethics, along with strong entrepreneurial and leadership skills.
Program Specific Outcomes
PSO1: Develop essential programming skills for a successful career as a data scientist.
PSO2: Apply data science principles and algorithms to solve real-world societal challenges.
PSO3: Leverage data science methodologies in various fields such as agriculture, education, and healthcare to drive societal progress.
Academic Facilities
Placements
| S.No | Academic Year | No. of Companies Visited | No. of Students Placed |
| 1 | 2023-24 | 26 | 119 |
| 2 | 2022-23 | 33 | 120 |
| 3 | 2021-22 | 29 | 125 |
Faculty Details
R & D Activities
Books/Book Chapters
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | Download |
| 2 | 2023-24 | Download |
| 3 | 2022-23 | Download |
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
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| 2 | 2023-24 | 04 |
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| 3 | 2022-23 | 05 |
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Students Achievements
Students Participation in Events within the State (Inter Institute Events)
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|
Students Participation in Events Outside the State
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|
Prizes/Award Received in Events
| S.No | Roll Number | Name of the Student | Name of the Event | Name of the Organization | Location | Date | Achievement |
|---|
Academic Year (2024-25)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ ISSN No. | DOI |
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Academic Year (2023-24)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ISSN No. | DOI |
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Academic Year (2022-23)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol., Issue, PP | ISBN/ ISSN No. | DOI |
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Content for Tab 3
This is the third tab’s content.
Events
Online Content Development
Projects
E-Resources
Roll of Honour
II YearOBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Newsletter
Overview
The Bachelor of Engineering (B.E.) in Computer Science & Engineering with a specialization in Data Science at St. Peter's Engineering College is a focused undergraduate program designed to prepare students for the rapidly evolving field of Data Science. Data Science is an interdisciplinary domain that leverages scientific methods, techniques, and algorithms to convert large datasets into actionable insights. This program integrates key concepts from mathematics, statistics, and computer science, equipping students with the computational skills necessary to tackle real-world data-driven challenges.
At St. Peter's Engineering College, the 4-year B.E. program in Data Science combines core computer science courses with specialized subjects in Data Science. The curriculum covers essential areas such as mathematics, network security, computer vision, programming, communication networks, and advanced data science techniques. This comprehensive approach ensures that graduates gain the necessary expertise to build intelligent models and apply cutting-edge tools and systems used by Data Science professionals across various domains within Computer Science.
Vision
To develop skilled and socially responsible engineers in the field of Data Science, contributing to the progress of India and the global community.
Mission
DM 1 : To provide top-quality technical education in Computer Science, Engineering, and Data Science by fostering an innovative and technologically advanced learning environment.
DM 2 : To create an industry-aligned atmosphere by offering state-of-the-art infrastructure that supports success in a data-driven world.
DM 3 : To equip students to develop innovative and intelligent solutions using their data analysis expertise and advancements in high-performance computing.
DM 4 : To cultivate individuals with a deep sense of integrity and social responsibility.
Program Educational Objectives
PEO 1: Develop advanced expertise in data science and related technologies such as machine learning, predictive analytics, and data engineering.
PEO 2: Design and implement data-driven solutions to address real-world challenges in business, research, and social contexts.
PEO 3: Exhibit high standards of social and professional ethics, along with strong entrepreneurial and leadership skills.
Program Specific Outcomes
PSO1: Develop essential programming skills for a successful career as a data scientist.
PSO2: Apply data science principles and algorithms to solve real-world societal challenges.
PSO3: Leverage data science methodologies in various fields such as agriculture, education, and healthcare to drive societal progress.