Course Duration | 3 Years |
---|---|
Course Level | Undergraduate |
Course Tuition Fees | Varies by Year |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Subjects |
---|---|
Semester 1 | English, Mathematics I, Digital Fundamentals and Architecture, Programming in C, C Programming Lab, Digital Fundamentals Lab |
Semester 2 | English II, Mathematics II, Data Structures, Database Management Systems, Object-Oriented Programming with C++, Data Structures Lab, DBMS Lab |
Semester 3 | Discrete Mathematics, Operating Systems, Computer Networks, Software Engineering, Python Programming, Python Programming Lab, Operating Systems Lab |
Semester 4 | Environmental Studies, Statistics with R, Web Programming, Java Programming, Web Programming Lab, Java Programming Lab |
Semester 5 | Management and Entrepreneurship, Data Analytics, Machine Learning, Elective I (Cloud Computing/Internet of Things), Data Analytics Lab, Machine Learning Lab |
Semester 6 | Project Work, Internship |
Module | Important Topics |
---|---|
Introduction to Data Analytics | Basics of Data Analytics, Data Types, Data Analytics Lifecycle |
Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms |
Database Management | SQL, NoSQL, Data Warehousing, Data Mining |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability Distributions |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Business Intelligence | BI Concepts, Tools, Decision Making with BI |
Project Work | Research Methodology, Project Design, Data Collection and Analysis |