Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Year | 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, Digital Electronics, Organizational Behavior |
Semester 3 | Data Structures and Algorithms, Operating Systems, Web Technologies, Discrete Mathematics, Soft Skills |
Semester 4 | Machine Learning, Computer Networks, Database and Information Retrieval, Professional Ethics, Elective I |
Semester 5 | Big Data Analytics, Cloud Computing, Artificial Intelligence, Project Work I, Elective II |
Semester 6 | Deep Learning, Internet of Things, Data Visualization, Project Work II, Elective III |
Module | Important Topics |
---|---|
Introduction to Data Science | Basics of Data Science, Data Types, Data Science Lifecycle |
Programming for Data Science | Python Programming, R Programming, Data Structures |
Mathematics for Data Science | Linear Algebra, Calculus, Statistics & Probability |
Data Management | Database Management, SQL, NoSQL, Data Warehousing |
Data Analysis | Data Preprocessing, Exploratory Data Analysis, Descriptive Statistics |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Deep Learning | Neural Networks, CNN, RNN, TensorFlow, Keras |
Data Visualization | Matplotlib, Seaborn, Tableau, Data Storytelling |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Capstone Project | Real-world Data Science Project, Project Management, Presentation Skills |