Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies (Please check the institute's website for current fees) | Full Time | Private |
Year 1 | Year 2 | Year 3 |
---|---|---|
Introduction to Programming, Mathematics for Data Science, Basics of Data Structures, Introduction to Database Management Systems, Fundamentals of Operating Systems, Communication Skills | Object-Oriented Programming, Advanced Data Structures and Algorithms, Database Management Systems II, Operating Systems for Data Science, Probability and Statistics, Web Technologies | Machine Learning, Big Data Analytics, Data Visualization, Cloud Computing for Data Science, Project Work, Electives (AI, IoT, Advanced Database Management Systems, etc.) |
Course Module | Important Topics |
---|---|
Programming Foundations | Python, Java, C++, Algorithms |
Data Structures | Arrays, Linked Lists, Trees, Graphs |
Database Management Systems | SQL, NoSQL, Data Warehousing |
Mathematics for Data Science | Statistics, Probability, Linear Algebra |
Data Analysis and Visualization | Pandas, NumPy, Matplotlib, Seaborn |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Hive, Pig |
Cloud Computing for Data Science | AWS, Azure, GCP, Data Storage and Processing |
Business Intelligence and Analytics | BI Tools, Decision Making, Reporting |
Research Methodology and Project Work | Research Techniques, Project Design and Implementation |