Parameter | Detail |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full-time |
Institute Type | Private |
Semester | Subjects | Topics |
---|---|---|
Semester 1 | Introduction to Programming, Mathematics for Data Science, Principles of Management | Programming Basics, Algebra and Calculus, Management Fundamentals |
Semester 2 | Database Management Systems, Data Structures and Algorithms, Organizational Behavior | SQL, Data Organization, Team Dynamics |
Semester 3 | Operating Systems, Statistics for Data Science, Web Technologies | OS Principles, Probability and Statistics, HTML/CSS/JavaScript |
Semester 4 | Object-Oriented Programming, Data Visualization, Business Analytics | Java or Python, Tableau or Power BI, Analytical Decision-Making |
Semester 5 | Machine Learning, Big Data Analytics, Elective (e.g., Cloud Computing, IoT, etc.) | Supervised and Unsupervised Learning, Hadoop and Spark, Specific Technology Study |
Semester 6 | Capstone Project, Data Ethics and Law, Advanced Data Analytics Techniques | Project Work, Privacy and Security, Deep Learning/Time Series Analysis |
Important Topics in BCA in Data Analytics |
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Introduction to Data Analytics |
Programming for Data Science |
Database Management Systems |
Data Mining and Predictive Modeling |
Big Data Technologies |
Machine Learning Algorithms |
Statistical Methods for Decision Making |
Data Visualization Techniques |
Cloud Computing for Data Analytics |
Ethics and Data Security |