Dive into the comprehensive syllabus of M.Tech in Forecasting Technology, covering advanced topics in data analysis, statistical modeling, and predictive analytics.
Syllabus and subjects in M.Tech Forecasting Technology
The M.Tech in Forecasting Technology syllabus is a specialized program aimed at providing students with a comprehensive understanding of advanced techniques and technologies for making accurate predictions and forecasts in various domains. The curriculum covers a wide array of subjects, including statistical modelling, time series analysis, machine learning algorithms, data preprocessing, and data visualization. Students delve into advanced topics such as predictive analytics, artificial intelligence, neural networks, and predictive modelling for business applications. Practical experience is a significant component, with hands-on projects and exposure to cutting-edge forecasting software and tools. Additionally, courses often include discussions on the ethical considerations and responsible use of forecasting technology. Graduates of this program are well-prepared for careers in industries such as finance, economics, meteorology, supply chain management, and marketing, where they can harness the power of data-driven forecasting to make informed decisions, improve efficiency, and enhance strategic planning. They are also equipped to contribute to research and innovation in forecasting methodologies.
Semester: 1
| s.no | Subject |
| 1 | Advanced Statistics for Forecasting |
| 2 | Time Series Analysis |
| 3 | Probability and Stochastic Processes |
| 4 | Data Analysis and Visualization |
| 5 | Research Methodology |
Semester: 2
| s.no | Subject |
| 1 | Machine Learning for Forecasting |
| 2 | Applied Econometrics |
| 3 | Forecasting Models and Techniques |
| 4 | Forecasting Software and Tools |
| 5 | Elective I: Specialized Topics in Forecasting |
Semester: 3
| s.no | Subject |
| 1 | Advanced Time Series Forecasting |
| 2 | Bayesian Forecasting |
| 3 | Optimization Methods for Forecasting |
| 4 | Big Data Analytics for Forecasting |
| 5 | Elective II: Advanced Topics in Forecasting |
Semester: 4
| s.no | Subject |
| 1 | Research Project or Internship |
| 2 | Seminar and Presentation |
Elective Subjects (Choose from a pool of specialized topics)
1. Supply Chain Forecasting
2. Financial Market Forecasting
3. Environmental Forecasting
4. Energy Demand Forecasting
5. Forecasting in Healthcare
6. Forecasting in Agriculture
7. Forecasting for Disaster Management
8. Forecasting in Transportation
2 Years
Post Graduate
Engineering
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