Financial Data Analytics with R: Methods and Applications

Understanding and applying financial analysis

This further education programme provides a very application-oriented insight into the "R" software with a focus on the financial services industry. For participants who have no prior knowledge of R, an optional introduction is offered at the beginning.

The course will then focus on multivariate methods, machine learning techniques, time series and predictive modelling.

In addition, various R packages and applications for different IT infrastructures will be presented and applied with a special focus on financial service providers.

Depending on the focus of the audience, in-depth topics from the following pool will also be covered: Parametric volatility modelling in R, interest rate models / fixed income, predictive models in pricing, uncertainty measurement and exposure calculation in loss reserving, longevity risk and mortality tables, calculation of value at risk and expected shortfall in R, copulas in R and credit risk in R.

Lecturer

Prof Dr Peter Ruckdeschel

Professor of "Mathematics with a focus on applied statistics"
University of Oldenburg

Your gain in expertise

In this module you will gain practical experience in dealing with statistical data analyses in the insurance and finance sector.

In particular, you can import data from various sources (databases/Excel/inhouse formats).

After completing the module, you will be able to critically assess key risk figures with the help of simulation studies and thus write reports with statistical evaluations for regular reporting in a standardised form.

You can also find and use supplementary infrastructure for R independently.

Further education at a glance

Certificate

University certificate

Dates

The module starts on 18 May
and ends on 20 September 2026

On-site workshop
29/30 May

Online workshop
7/8 August

Time required and scope

5-7 hours per week, 6 credit points

Teaching format

Part-time, internet-based, compact practical workshops at the weekend

Prerequisites

None

Costs

900 Euro plus university fee

Who is the programme aimed at?

This further education programme is aimed at self-employed persons and
employees in the financial sector who would like to receive targeted training in risk management
.

Warum Teilnehmende uns empfehlen

Praxisnah

Projekte aus dem eigenen Beruf können in den einzelnen Modulen bearbeitet werden und lassen sich als Prüfungsleistung einbringen. 

Flexibel

Lernen, wenn es zu Familie, Job und Freizeit passt – das Studienformat macht es möglich. Studiert wird überwiegend online.

Persönlich

Unsere Lehrenden begleiten Sie intensiv und geben individuelles Feedback. In Kleingruppen tauschen Sie sich mit anderen Studierenden aus.

 

Universitär

Unsere Studierenden profitieren von exzellenter Forschung und Lehre. Alle Inhalte spiegeln den aktuellen wissenschaftlichen Stand.

Bleiben Sie gut informiert!

Folgen Sie uns auf LinkedIn, erweitern Sie Ihr Netzwerk und diskutieren Sie mit uns rund um das Thema Risikomanagement:

Beratung und Kontakt

Nadine Dembski

Managerin für Wissenschaftliche Weiterbildung
Risikomanagement und Finanzanalyse
 

T +49 (0)441 / 798 23 75

www.uol.de/risikomanagement

 

 

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