MSc Finance and Big Data Analytics
The MSc Finance and Big Data Analytics course at Swansea University is designed to pair the key areas of finance and business analytics. This programme takes a data driven approach to analysis of financial markets and organisational information. The degree covers the key principles of finance, financial modelling and financial markets to prepare you for a dynamic career in finance, banking and a range of other sectors.
You don’t need a background in accounting, finance or business to study this one year conversion course. It’s designed to enhance your undergraduate study and accelerate you into your chosen profession anywhere in the world.
As an MSc Data Science student, you will explore how to efficiently find patterns in these vast streams of data. Many research areas have tackled parts of this problem: Machine learning focuses on finding patterns and making predictions from data. Ideas from algorithms and databases are required to build systems that scale to big data streams. Separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.
The MSc Finance and Big Data Analytics course at Swansea University is designed to pair the key areas of finance and business analytics. This programme takes a data driven approach to analysis of financial markets and organisational information. The degree covers the key principles of finance, financial modelling and financial markets to prepare you for a dynamic career in finance, banking and a range of other sectors.
You don’t need a background in accounting, finance or business to study this one year conversion course. It’s designed to enhance your undergraduate study and accelerate you into your chosen profession anywhere in the world.
As an MSc Data Science student, you will explore how to efficiently find patterns in these vast streams of data. Many research areas have tackled parts of this problem: Machine learning focuses on finding patterns and making predictions from data. Ideas from algorithms and databases are required to build systems that scale to big data streams. Separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.
