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

Gunupur ( Odisha )

Estd In: 1997

Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

GIET University BCA in Data Analytics Highlights 2024

Course Duration	Course Level	Course Tuition Fees	Mode of Study	Institute Type
3 Years	Undergraduate	Varies	Full Time	University

GIET University BCA in Data Analytics Syllabus 2024

Semester	Subjects
Semester 1	Introduction to Data Analytics, Mathematics for Computer Science, Programming in C, English Communication, Computer Fundamentals and Office Automation, Environmental Studies
Semester 2	Database Management Systems, Object-Oriented Programming with C++, Probability and Statistics, Digital Logic and Design, Organizational Behavior, Financial Accounting
Semester 3	Data Structures, Operating Systems, Management Information Systems, Discrete Mathematics, Python Programming, Soft Skills Development
Semester 4	Algorithm Analysis and Design, Computer Networks, Web Technologies, Java Programming, Business Analytics, Minor Project
Semester 5	Big Data Analytics, Cloud Computing, Machine Learning, Data Visualization, Elective I, Internship
Semester 6	Artificial 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

Module	Important Topics
Introduction to Data Analytics	Basics of Data Analytics, Data Types, Data Analytics Process
Programming for Data Analytics	Python Programming, R Programming, Data Structures
Database Management	SQL, NoSQL, Data Warehousing
Data Visualization	Tableau, Power BI, Dashboards
Statistics for Data Analytics	Descriptive Statistics, Inferential Statistics, Probability
Machine Learning	Supervised Learning, Unsupervised Learning, Model Evaluation
Big Data Technologies	Hadoop, Spark, Big Data Analytics
Project Work	Real-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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