the national institute of management & information sciences (nimis) offers a master of business administration (mba) in big data analytics specialisation. this specialisation is designed to equip students with the knowledge and skills needed to analyse and interpret large datasets and to develop strategies for leveraging big data to drive business decisions.
the mba in big data analytics specialisation provides students with an understanding of the principles and techniques of data analytics, data mining, and machine learning. students learn how to use data to identify patterns and trends, and to develop predictive models. they also learn how to develop and implement data-driven strategies to improve business performance.
the curriculum includes courses in data management, data analysis, data visualisation, and data-driven decision-making. students also learn about the ethical and legal implications of data analytics. the program also includes courses in business intelligence, data warehousing, and data governance.
the mba in big data analytics specialisation is designed to prepare students for a career in data analytics. graduates of the program will be well-equipped to work in a variety of industries, including healthcare, finance, retail, and technology. they will be able to use their skills to develop strategies to improve business performance and to make data-driven decisions.
| Course Duration | Course Level | Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | MBA | INR 1,50,000 | Online | Private |
| Semester | Subjects/Topics |
|---|---|
| Semester 1 | Data Analysis and Visualization, Business Intelligence, Data Warehousing, Database Management Systems, Data Mining, Machine Learning, Big Data Analytics, Data Science, Statistical Analysis, Predictive Analytics, Text Mining, Natural Language Processing |
| Semester 2 | Data Science and Business Analytics, Data-Driven Decision Making, Business Process Management, Business Process Automation, Business Process Reengineering, Business Process Optimization, Business Process Integration, Business Process Modeling, Business Process Analysis, Business Process Design, Business Process Improvement |
| Semester 3 | Data Governance, Data Quality Management, Data Security and Privacy, Data Architecture, Data Integration, Data Warehousing, Data Modeling, Data Visualization, Data Analytics, Data Mining, Machine Learning, Artificial Intelligence, Big Data Analytics, Cloud Computing, Internet of Things |
| Semester 4 | Data Science Project Management, Data Science Project Design, Data Science Project Implementation, Data Science Project Evaluation, Data Science Project Documentation, Data Science Project Presentation, Data Science Project Delivery, Data Science Project Maintenance, Data Science Project Support, Data Science Project Troubleshooting |
year | important topics
-----------------------
2020 | data mining, machine learning, data visualization, big data analytics, business intelligence, predictive analytics
2019 | data mining, machine learning, data visualization, big data analytics, business intelligence, predictive analytics
2018 | data mining, machine learning, data visualization, big data analytics, business intelligence, predictive analytics
2017 | data mining, machine learning, data visualization, big data analytics, business intelligence, predictive analytics
