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IITM Delhi BCA in Data Science

BCA in Data Science at IITM Delhi - Course, Fees, Admission, Seats, Syllabus

location Delhi ( Delhi / NCR )
location Estd In: 2002
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BCA in Data Science at IITM Delhi - Course, Fees, Admission, Seats, Syllabus
location
Delhi ( Delhi / NCR )
location
Estd In: 2002
Last Updated on February 06, 2024 9:47 PM
Indraprastha Institute of Technology and Management (IITM) is a known educational institution that offers a Bachelor of Computer Applications (BCA) program with various specializations. As a leading institute in the field of technology and management IITM provides students with an education that combines theoretical knowledge and practical skills. IITM offers a range of BCA specializations to cater to the diverse interests and career aspirations of students. These specializations include Software Development, Web Designing, Data Analytics, Cybersecurity and Mobile Application Development among others. With a focus on industry curriculum and hands on training IITM ensures that students are well prepared to meet the demands of the ever changing IT industry. By offering specializations IITM gives students the opportunity to delve deeper into their areas of interest and develop expertise in specific domains. This not enhances their employability but also prepares them for successful careers in the IT sector. With its dedication to excellence, modern infrastructure and experienced faculty members, Indraprastha Institute of Technology and Management is an ideal choice, for aspiring BCA students who seek quality education and specialization options that align with their career goals.
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Table of Contents

IITM Delhi BCA in Data Science Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 2,00,000 per yearFull-timePrivate

IITM Delhi BCA in Data Science Important Topics 2024

Course ModuleDescription
Introduction to Data ScienceOverview of data science, its importance, and applications.
Programming for Data ScienceProgramming languages like Python or R, essential for data manipulation and analysis.
Mathematics for Data ScienceMathematical concepts including statistics, probability, and linear algebra.
Data Structures and AlgorithmsUnderstanding of data structures and algorithms to optimize data processing.
Database Management SystemsKnowledge of database systems, SQL, and NoSQL databases for data storage and retrieval.
Data Mining and ExplorationTechniques for discovering patterns and insights from large datasets.
Machine LearningAlgorithms and models for making predictions or decisions based on data.
Big Data TechnologiesTools and frameworks for processing and analyzing large datasets (e.g., Hadoop, Spark).
Data VisualizationTechniques and tools for representing data visually (e.g., Tableau, Matplotlib).
Capstone ProjectPractical project to apply learned skills to a real-world data science problem.
Please note that this table is a general representation and the actual course content, names, and descriptions may differ. For the most accurate and up-to-date information, it's best to consult the official website of the Indraprastha Institute of Technology and Management or contact their admissions office directly.

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