the indian academy school of management studies (iasms) is a premier business school in india, offering a range of mba programs in big data analytics. the school has a strong focus on developing the skills and knowledge of students in the field of big data analytics. the school offers a two-year mba program in big data analytics, which is designed to provide students with the necessary skills and knowledge to become successful professionals in the field. the program is divided into four semesters, with each semester focusing on a different aspect of big data analytics.
the program covers topics such as data mining, machine learning, data visualization, predictive analytics, and data engineering. students are also taught the fundamentals of data science, including data collection, cleaning, analysis, and interpretation. the program also covers the application of big data analytics in various industries, such as finance, healthcare, retail, and marketing.
the program also provides students with the opportunity to gain hands-on experience in the field through internships and projects. the school also offers a range of electives, which allow students to specialize in specific areas of big data analytics.
at the end of the program, students are expected to have a comprehensive understanding of the fundamentals of big data analytics and be able to apply their knowledge to real-world problems. the program also prepares students for a successful career in the field, with the potential to work in a variety of industries.
| Course Duration | 2 Years |
| Course Level | MBA |
| Tuition Fees | INR 1,50,000 |
| Mode of Study | Full-time |
| Institute Type | Private |
| Semester | Subjects | Topics |
|---|---|---|
| 1st Semester | Data Management & Analytics | Data Warehousing, Data Mining, Data Visualization, Business Intelligence, Predictive Analytics, Machine Learning, Text Mining, Natural Language Processing, Big Data Technologies, Cloud Computing |
| 2nd Semester | Data Science & Business Intelligence | Data Science Fundamentals, Data Analysis & Modeling, Business Intelligence & Analytics, Data Visualization, Data Warehousing & Mining, Big Data Technologies, Cloud Computing, Machine Learning & Artificial Intelligence |
| 3rd Semester | Data Science & Business Intelligence | Data Science Fundamentals, Data Analysis & Modeling, Business Intelligence & Analytics, Data Visualization, Data Warehousing & Mining, Big Data Technologies, Cloud Computing, Machine Learning & Artificial Intelligence |
| 4th Semester | Data Science & Business Intelligence | Data Science Fundamentals, Data Analysis & Modeling, Business Intelligence & Analytics, Data Visualization, Data Warehousing & Mining, Big Data Technologies, Cloud Computing, Machine Learning & Artificial Intelligence |
• introduction to big data analytics
• data science and machine learning
• data visualization and business intelligence
• data mining and predictive analytics
• text mining and natural language processing
• database management systems
• statistical analysis and data modeling
• cloud computing and big data platforms
• data warehousing and data integration
• data security and privacy
• business analytics and decision making
• applied projects in big data analytics
