the indo-german training centre (igtc) is a joint venture between the german federal ministry of education and research and the indian ministry of human resource development. it is a unique platform for the exchange of knowledge and expertise between india and germany. the igtc offers a range of mba programmes in data science specialisations and courses.
the mba in data science is a two-year full-time programme that focuses on the application of data science in the business world. the programme provides students with the skills and knowledge to analyse and interpret data, develop data-driven strategies, and apply data science techniques to solve business problems. the programme also covers topics such as data mining, machine learning, predictive analytics, and big data.
the programme is designed to equip students with the skills and knowledge to become successful data scientists. the curriculum is designed to provide students with a comprehensive understanding of the fundamentals of data science, including data collection, analysis, and interpretation. students will also learn how to apply data science techniques to solve real-world business problems.
the mba in data science is offered in collaboration with leading universities in germany, such as the technical university of munich, the university of stuttgart, and the university of mannheim. the programme is also offered in collaboration with leading indian universities, such as the indian institute of technology (iit) delhi and the indian institute of management (iim) bangalore.
the mba in data science is an ideal programme for those looking to pursue a career in data science. the programme provides students with the skills and knowledge to become successful data scientists and to make an impact in the business world.
| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | Post Graduate | INR 5.5 Lakhs | Full Time | Government |
| Semester | MBA in Data Science Syllabus |
|---|---|
| Semester 1 | Data Science Fundamentals, Data Visualization, Statistical Analysis, Machine Learning, Database Management, Data Mining, Big Data Analytics, Business Intelligence, Data Warehousing, Cloud Computing |
| Semester 2 | Data Science Applications, Predictive Analytics, Natural Language Processing, Deep Learning, Reinforcement Learning, Time Series Analysis, Optimization Techniques, Text Mining, Image Processing, Data Science Project |
| topics |
| :--- |
| data science fundamentals |
| data visualization |
| machine learning algorithms |
| big data analytics |
| natural language processing |
| deep learning |
| business intelligence |
| predictive modeling |
| data mining |
| database management |
