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GIET University BCA in Data Analytics

BCA in Data Analytics at GIET University - Course, Fees, Admission, Seats, Syllabus

location Gunupur ( Odisha )
location Estd In: 1997
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BCA in Data Analytics at GIET University - Course, Fees, Admission, Seats, Syllabus
location
Gunupur ( Odisha )
location
Estd In: 1997

Table of Contents

GIET University BCA in Data Analytics Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 YearsUndergraduateVariesFull TimeUniversity

GIET University BCA in Data Analytics Syllabus 2024

SemesterSubjects
Semester 1Introduction to Data Analytics, Mathematics for Computer Science, Programming in C, English Communication, Computer Fundamentals and Office Automation, Environmental Studies
Semester 2Database Management Systems, Object-Oriented Programming with C++, Probability and Statistics, Digital Logic and Design, Organizational Behavior, Financial Accounting
Semester 3Data Structures, Operating Systems, Management Information Systems, Discrete Mathematics, Python Programming, Soft Skills Development
Semester 4Algorithm Analysis and Design, Computer Networks, Web Technologies, Java Programming, Business Analytics, Minor Project
Semester 5Big Data Analytics, Cloud Computing, Machine Learning, Data Visualization, Elective I, Internship
Semester 6Artificial Intelligence, Data Science, Elective II, Major Project, Seminar, Elective III
Please note that the actual syllabus may vary and it's always best to refer to the official GIET University curriculum or contact the university directly for the most accurate and up-to-date information.

GIET University BCA in Data Analytics Important Topics 2024

ModuleImportant Topics
Introduction to Data AnalyticsBasics of Data Analytics, Data Types, Data Analytics Process
Programming for Data AnalyticsPython Programming, R Programming, Data Structures
Database ManagementSQL, NoSQL, Data Warehousing
Data VisualizationTableau, Power BI, Dashboards
Statistics for Data AnalyticsDescriptive Statistics, Inferential Statistics, Probability
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Big Data TechnologiesHadoop, Spark, Big Data Analytics
Project WorkReal-world Data Analytics Projects, Capstone Projects

GIET University BCA Course FAQs

What are the eligibility criteria for BCA in Data Analytics at GIET University?
The eligibility criteria for BCA in Data Analytics at GIET University require candidates to have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject. Candidates should have secured a minimum aggregate percentage as specified by the university for the year of admission.
How much are the fees for BCA in Data Analytics at GIET University?
The fees for BCA in Data Analytics at GIET University can vary each academic year. Prospective students are advised to check the official university website or contact the admissions office directly for the most current fee structure. Fees typically include tuition, lab, library, and other associated costs.
What is the selection process for BCA in Data Analytics at GIET University?
The selection process for BCA in Data Analytics at GIET University generally involves a review of the applicant's academic records, performance in qualifying examinations, and any other criteria as specified by the university. Some years may also include personal interviews or entrance tests as part of the selection process.
Is there a cut off mark for BCA in Data Analytics at GIET University?
GIET University may set a cut off mark for BCA in Data Analytics based on the number of applications received, the performance of applicants in their 10+2 or equivalent examinations, and the availability of seats. The specific cut off mark can vary each year and is usually announced during the admission process.
What are the placement opportunities for BCA in Data Analytics graduates from GIET University?
BCA in Data Analytics graduates from GIET University have good placement opportunities with various companies in the IT, analytics, and data science sectors. The university has a dedicated placement cell that conducts training, workshops, and recruitment drives with leading companies. Past graduates have secured positions in roles such as data analyst, business analyst, data scientist, and more.

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