The syllabus for a Postgraduate Diploma (PGD) in Data Science & Finance is a meticulously crafted blend of finance and data science subjects, designed to equip students with a strong skill set for the modern financial landscape.
The PGD in Data Science & Finance course offers a comprehensive syllabus that combines financial expertise with advanced data analytics skills. Students will delve into topics such as financial modeling, risk management, investment analysis, and portfolio optimization. Simultaneously, they will master data science tools and techniques, including data visualization, machine learning, and statistical analysis. The curriculum emphasizes real-world applications, enabling students to tackle complex financial challenges using data-driven insights. Throughout the program, students will develop a strong foundation in both finance and data science, preparing them for a wide range of roles in the finance industry, from quantitative analysts to financial data scientists.
S.No | Subjects |
1 | Mathematics |
2 | Statistics |
3 | Finance |
4 | Data Management & Programming using Python |
5 | Machine Learning |
6 | Core Finance |
7 | Data Wrangling and Analysis |
8 | Technologies in Finance |
9 | Quantitative Finance |
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