MSc Finance and Data Analytics
Postgraduate
In Colchester
Description
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Type
Postgraduate
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Location
Colchester
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Duration
1 Year
About the course
How does big data influence financial and statistical modelling? Will the future of finance be driven by our ability to apply quantitative, statistical and technical skills to analyse information?
The finance industry needs students who can understand statistical modelling in the context of the growing, and increasingly complex, data available to financial firms
Our MSc Finance and Data Analytics prepares you to work in the financial services organisations of the future, by equipping you with the quantitative, statistical and technical skills needed in a world powered by big data
You master areas including:
portfolio analysis
empirical financial methods
data analytics
trading global markets
The University of Essex is at the forefront of the UK’s big data network
Essex Business School, where this course is taught, is home to the ESRC Business and Local Government Data Research Centre, which helps local authorities and businesses across the UK to leverage data more effectively
Our School’s brand new virtual trading floor ensures you gain practical experience of using industry-standard terminals and real-world business information
You’re taught by academics who are actively involved in researching big data and advising businesses on how to make best use of it
You may be eligible to apply for scholarships and discounts offered by the University of Essex
Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU
Facilities
Location
Start date
Start date
Reviews
Subjects
- Finance
- Financial
- Financial Training
- Industry
- Trading
- Loans
- University
- School
- Global
Course programme
Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core and optional module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are, in many instances, just a selection of those available. Our Programme Specification gives more detail about the structure available to our current postgraduate students, including details of all optional modules.
Year 1
Portfolio Management
Trading Global Financial Markets
Data Analytics in Finance
Research Methods in Finance: Empirical Methods in Finance
MSc Finance and Investment: Dissertation
Financial Modelling (optional)
Risk Management (optional)
Derivative Securities (optional)
Teaching
Tailor the content of your course to more closely fit your interests and aspirations
Courses focus on practical applications and links with industry
We run an open seminar series
Assessment
Regular assessment is by coursework, presentations, case studies, group work, tests and examinations
Dissertation
You submit a 15,000 word dissertation
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Additional information
MSc Finance and Data Analytics