Department
Computer Science and Engineering- Data Science

Overview

The Bachelor of Engineering in Computer Science & Engineering (Data Science) is a specialized undergraduate program. Data Science is an interdisciplinary field that employs scientific methodologies, techniques, and algorithms to transform vast datasets into actionable insights. It integrates principles and practices from mathematics, statistics, and computer science to offer computational solutions for real-world challenges abundant in data. This specialization equips students with proficiency in the tools and systems utilized by Data Science Professionals, enabling them to develop intelligent models across various domains within Computer Science. We provide a 4-year B.E. program in Data Science, encompassing core computer science courses alongside essential subjects related to Data Science. This program facilitates the acquisition of fundamental knowledge and skills in mathematics, network security, computer vision, programming, communication networks, and Data Science.

Vision

To produce skilled and socially conscious engineers in the field of Data Science to contribute to the advancement of both India and the global community.

Mission

  1. To offer high-caliber technical education in computer science and engineering, as well as data science, by fostering an innovative and technologically resilient learning environment.
  2. To nurture an industry-friendly environment by furnishing cutting-edge infrastructure to thrive in a data-driven world.
  3. To empower students to deliver innovative and cognitive solutions leveraging their data analytical skills and advancements in high-performance computing.
  4. To promote individuals with a strong sense of integrity and social responsibility.

Vision

To serve as a hub of excellence in Artificial Intelligence and Machine Learning, offering high-quality education and research that addresses the demands of both industry and society.

Mission

  1. To attain academic excellence by implementing innovative teaching and learning methods.
  2. To foster a culture of innovation, creativity, and research.
  3. To improve job readiness through skill enhancement and fostering interaction between academia and industry.
  4. To cultivate individuals with a strong sense of ethics and social accountability.

Computer Science and Engineering- Data Science

Program Educational Objectives (PEOs)

PEO1: Acquire advanced skills in data science and associated technologies like machine learning, predictive analytics, and data engineering.

PEO2: Create and implement data-driven solutions for practical challenges encountered in business, research, or social settings.

PEO3: Demonstrate exemplary levels of social and professional ethics, entrepreneurship, and leadership attributes.

Programme Specific Outcomes (PSOs)

PSO1: Acquire pertinent programming skills necessary for a prosperous career as a data scientist.

PSO2: Utilize data science principles and algorithms to address real-world societal challenges.

PSO3: Employ data science methodologies across diverse domains such as agriculture, education, and healthcare to contribute to societal improvement.

Overview Of the Curriculum

3rd SEM

  1. Mathematics for Computer Science
  2. Data Structures and Applications
  3. Digital Design & Computer Organization
  4. Operating Systems
  5. Data Structures Laboratory
  6. Object Oriented Programming with Java
  7. PHP Programming

4th SEM

  1. Analysis & Design of Algorithms
  2. Database Management Systems
  3. Microcontrollers
  4. Design and Analysis of Algorithm Laboratory
  5. Discrete Mathematical Structures
  6. Scala

5th SEM

  1. Software Engineering & Project Management
  2. Computer Networks (NS-2/3)
  3. Theory of Computation
  4. Data Visualization Lab
  5. Principles of Artificial Intelligence
  6. Mathematics for Machine Learning
  7. Artificial Intelligence Laboratory
  8. DBMS Laboratory with mini

6th SEM

  1. Big Data Analytics
  2. Artificial Intelligence & Machine Learning
  3. Devops
  4. Machine Learning Laboratory
  5. Mobile Application Development Laboratory

7th SEM

  1. Scalable Computing
  2. Statistical Machine Learning for Data Science
  3. Information & Network Security
  4. IOT Analytics
  5. Software Engineering

8th SEM

  1. Data Security and Privacy
  2. System Modelling and Simulation

ICEAS

Value Added Courses

Skill development courses

  1. Data Structures and Applications 
  2. Design and Analysis of Algorithms
  3. PHP Programming
  4. Database Management System 
  5. Java for Mobile Applications
  6.  Mobile Application Development Laboratory
  7.  Big Data Analytics      

EVENTS

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MBA Students Industrial  visit to Bangalore Metro stations(25-08-2023) to know the startup issues – Entrepreneurship opportunities and Challenges

MBA students Participated in the “Business plan-Inter collegiate competition” -ideate 2023 held in Koshys college(28-09-23)-To orient on Business Planning and Launching an Enterprise 

 Industrial visit  to Coorg Coffee Estate -to make the aware Coffee industry and opportunities(27-29, October 23)

ICEAS

Admissions

Welcome to the ICEAS Admission Cell. Please fill in the application form below, ensuring all mandatory details are completed. Submit the form, and our team will contact you.

Welcome to the ICEAS Admission Cell. Please fill in the application form below, ensuring all mandatory details are completed. Submit the form, and our team will contact you.

ICEAS

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