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- Finance and Big Data Analytics, MSc
Course options
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Qualification
MSc - Master of Science
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Location
Bay Campus 1
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Study mode
Full time
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Start date
21-SEP-26
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Duration
1 Year
Course summary
Our MSc Finance and Big Data Analytics course at Swansea University is designed to integrate the key principles of finance and data analytics, equipping you with the knowledge and technical skills to make data-driven financial decisions and analyse complex market dynamics. Reflecting on the evolving demands of the global finance sector, the programme provides a strong foundation in financial markets, quantitative methods, and big data applications, which will prepare you for a dynamic career in the financial industry, including roles working as a financial analyst, risk management specialist, or data analytics consultant. By studying this course, you will be able to engage critically with ethical, social, and sustainability considerations related to the use of big data in finance, promoting responsible and informed decision-making. This one-year conversion programme welcomes students from any background. This means you don’t need to have a background in accounting, finance or business to study this one-year course. The curriculum builds on undergraduate learning and enables you to transition rapidly into professional careers in finance, data analytics, or related fields anywhere in the world.
Application deadline
16/09/2026
Modules
Tuition fees
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£ 23,400per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
41st
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Campus address
Singleton Park Campus, Singleton Park, Swansea, Swansea, SA2 8PP, United Kingdom
Subject rankings
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Subject ranking
27th out of 104 6
31st out of 118 1
37th out of 93 12
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Entry standards
/ Max 209112 54%44th
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Graduate prospects
/ Max 10075.0 75%26th
11 -
Student satisfaction
/ Max 43.40 85%11th
29 -
Entry standards
/ Max 229125 55%45th
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Graduate prospects
/ Max 10086.0 86%30th
1 -
Student satisfaction
/ Max 43.14 79%30th
33 -
Entry standards
/ Max 198117 59%40th
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Graduate prospects
/ Max 10078.0 78%17th
14 -
Student satisfaction
/ Max 42.93 73%89th
58