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ICEAS

Department
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

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.

To nurture an industry-friendly environment by furnishing cutting-edge infrastructure to thrive in a data-driven world.

To empower students to deliver innovative and cognitive solutions leveraging their data analytical skills and advancements in high-performance computing.

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.

Data Science

Program : UG
Department : Data Science
Duration : 4 Years

Program Outcomes (POs)

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10.   Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective  presentations, and give and receive clear instructions.
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as  a member and leader in a team, to manage projects and in multidisciplinary   environments
  12.  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.

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

Natural Language Processing
Principles of Artificial Intelligence
Mathematics for Machine Learning
System Modelling and Simulation

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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WhatsApp Image 2024-04-02 at 9.54.09 AM

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

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WhatsApp Image 2024-04-02 at 10.18.03 AM (1)

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 

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WhatsApp Image 2024-04-02 at 10.57.41 AM

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

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Our Upcoming Events

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.

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  • Impact Campus
Near Chairman’s Club, Kodigehalli, Sahakara Nagar South, Bengaluru, Karnataka 560092.

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