Semester | Core Courses | Elective Courses (Examples) |
---|---|---|
Semester 1 | Introduction to Data Analytics, Programming Fundamentals, Statistics for Data Science, Database Management Systems | Python Programming, Business Communication |
Semester 2 | Data Structures and Algorithms, Advanced Database Management Systems, Machine Learning Fundamentals, Data Visualization Techniques | Java Programming, Web Technologies |
Semester 3 | Big Data Analytics, Predictive Analytics, Data Mining, Research Methodology in Data Science | Cloud Computing for Data Analytics, Social Network Analysis |
Semester 4 | Advanced Machine Learning, Deep Learning, Time Series Analysis, Capstone Project | IoT for Data Science, Blockchain Fundamentals |
Semester 5 | Business Intelligence, Cybersecurity Fundamentals for Data, Ethics and Law in Data Analytics, Internship | Advanced Web Technologies, Mobile Application Development |
Semester 6 | Project Work, Industry-Specific Analytics Applications, Advanced Topics in Data Analytics | Entrepreneurship in IT, Artificial Intelligence |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Data Analytics, Programming Fundamentals, Mathematics for Data Science |
Semester 2 | Database Management Systems, Data Structures, Statistical Methods for Data Analysis |
Semester 3 | Advanced Programming, Machine Learning Basics, Data Preprocessing Techniques |
Semester 4 | Big Data Analytics, Data Visualization, Cloud Computing for Data Analytics |
Semester 5 | Deep Learning, Time Series Analysis, Business Intelligence |
Semester 6 | Capstone Project, Ethical and Legal Aspects of Data, Advanced Machine Learning |