Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Information not available | Full Time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies |
Semester 2 | Statistics for Data Science, Database Management Systems, Object-Oriented Programming, Business Communication, Indian Constitution |
Semester 3 | Data Structures and Algorithms, Operating Systems, Data Visualization, Soft Skills, Elective I |
Semester 4 | Machine Learning, Big Data Analytics, Web Technologies, Professional Ethics, Elective II |
Semester 5 | Deep Learning, Cloud Computing, Project Work I, Elective III, Elective IV |
Semester 6 | Capstone Project, Internship, Elective V, Elective VI |
Module | Important Topics |
---|---|
Programming Fundamentals | Introduction to Programming, Data Types, Control Structures, Functions, Arrays |
Database Management Systems | DBMS Concepts, SQL Queries, Normalization, ER Diagrams, Transactions and Concurrency Control |
Data Structures and Algorithms | Arrays, Stacks, Queues, Linked Lists, Sorting and Searching Algorithms, Graphs and Trees |
Mathematics for Data Science | Linear Algebra, Calculus, Statistics and Probability, Discrete Mathematics |
Machine Learning | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Deep Learning |
Data Visualization | Introduction to Data Visualization, Tools and Techniques, Dashboard Design, Data Interpretation |
Big Data Technologies | Hadoop Ecosystem, Spark, NoSQL Databases, Data Lakes, Data Warehousing |
Cloud Computing for Data Science | Cloud Service Models, Cloud Deployment Models, AWS/GCP/Azure for Data Science, Cloud-based Data Analytics |