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MBA (FinTech and Data Analytics) (with placement) (24 months)

MBA (FinTech and Data Analytics) (with placement) (24 months)

Different course options

Full time | Chelmsford Campus | 2 years | SEP-25

Study mode

Full time

Duration

2 years

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MBA - Master of Business Administration

Subject areas

MBA Financial Services Data Analysis

Course Summary

Master the latest advances in financial technology and prepare for an exciting career in a fast-moving area, with our Fintech and Data Analysis MBA in Chelmsford. You’re future-oriented and passionate about the possibilities generated by blockchain technology and digital currencies. Our Master of Business Administration course will prepare you to make your mark in a field that’s continually and rapidly innovating, developing and disrupting.You want to learn the high-level skills required to create data-informed trading strategies, financial models and business forecasts, but you’re also ambitious and want to present a full package to employers. Alongside technical know-how, we’ll teach you how to use outputs to formulate marketing and performance strategies, and help you develop as a leader. There’s the option to study with us for two years, and gain valuable experience in Year 2, with a choice of professional experience modules.We know first-hand experience is important and so, as a postgraduate student at ARU, you’ll get hands-on from day one to formulate innovative solutions to real-world problems. You’ll learn how to create your own applications and analyse big data using R and Python, and make extensive use of our Bloomberg Financial Markets Lab.You’ll also benefit from opportunities to network with guest speakers and at FinTech events in London. You can take an optional placement year in industry, with many FinTech firms in Essex and London to choose from.

Modules

The aim of this module is to enable you to understand the nature of big data and how finance professionals use it to develop and inform decision-making processes. The module provides an overview of the source and structure of big data commonly used in addition to introducing tools used for generating predictive analytics.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£19,200

International fees
Course fees for EU and international students

For this course (per year)

£19,200

Entry requirements

A first degree of 2:2 or above plus relevant experience.

University information

Anglia Ruskin University (ARU) offers gold standard teaching (Teaching Excellence Framework (TEF), 2023) and expert tuition across more than 100 flexible postgraduate degrees, making it a great option for students looking to deepen their academic and industrial knowledge of a subject. ARU’s hosts four campuses in East Anglia: Cambridge, Chelmsford and Peterborough and Writtle. A partnership with ARU London provides an additional opportunity...more