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MSc Finance and Data Analytics

Different course options

Study mode

Full time

Duration

12 months

Start date

SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Finance / Accounting (General)

Course type

Taught

Course Summary

As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialisation in data analytics. This course equips you with data analysis skills that are in short supply and can be utilised in algorithmic trading, machine learning and artificial intelligence applications.

As you study, you’ll develop core skills in finance, investments and data analytics – all of which can be applied in a final dissertation on a finance-related topic of your choice. You’ll also be taught how to use programming languages (e.g. Python, R) to analyse data and get a thorough understanding of core financial theory and investment practices. In addition, you'll have the opportunity to use professional financial databases, such as Bloomberg and S&P Capital IQ.

Modules

Flying Start Leadership Programme(MANPFSL) - Core
Machine Learning(ITNPBD6) (20 Credits) - Core
Quantitative Methods in Finance(BFIP013) (20 Credits) - Core
Representing and Manipulating Data(ITNPBD2) (20 Credits) - Core
Blockchain Technologies(ITNPFT1) (10 Credits) - Core
Corporate Finance(INVP001) (20 Credits) - Core
Dissertation(FINP099) (40 Credits)

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,900

International fees
Course fees for EU and international students

For this course (per year)

£22,900

Entry requirements

A minimum of a second class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.