Quantitative Asset and Risk Management

"ARIMA (Quantitative Risk and Asset Management) is a very intensive master`s programme, which is just the thing for number-crunchers interested in finance, mathematics and statistics. The degree programme offers comprehensive quantitative know-how in asset and risk management, winning you over with practice-oriented applications. Since the studies are quite internationally-oriented, there are numerous possibilities for a successful career in finance and insurance."

Raphael Siegert, MA, Alumnus

This internationally-focussed master's degree programme is run in English. Graduates have the option of a double degree at one of our partner universities: University of Bologna (Italy), University of Economics (Katowice, Poland) and Alexandru Ioan Cuza University (Iași, Romania).

Graduates are able to

describe and analyse the connections between asset and risk management in finance
quantify and assess risk types in risk management, and infer measures for integrated steering of banks and insurance companies
analyse various asset classes and their products
carry out portfolio selections, and calculate key performance and risk measures
apply financial mathematics and statistics to developing financial models

Professional roles and functions

Asset management
Risk management
Liability management
Private banking and family office
Compliance and regulatory reporting

Contact

Veronika Hallwirth
Coordination of the study programme
+43 1 720 12 86-931
veronika.hallwirth@fh-vie.ac.at

Information about the programme

Degree programme director Silvia Helmreich gives an overview of the master programme.

Programme details

International aspects

Career opportunities

Downloads

How to prepare for the ARIMA admission test and interview Download icon
(pdf 1,996 MB)
ARIMA Curriculum Download icon
(pdf 148,109 KB)
Checklist required documents master degree programmes Download icon
(pdf 34,419 KB)
General terms and conditions of the University of Applied Sciences BFI Vienna for payment of a security deposit Download icon
(pdf 286,762 KB)
Brochure master programmes Download icon
(pdf 770,23 KB)
Education Contract SHRM W20 Download icon
(pdf 205,23 KB)

ECTS and course information

Ergebnisse werden geladen

Incoming

Nein Ja Alle

Studiengangsform

Studiengang

Studienplan

Semester

ECTS Credits

Einträge pro Seite anzeigen: 10 / 20 / 50 / 100

Lehrveranstaltung

ECTS Credits

Sprache

Studienplan

Semester

Incoming

Lehrveranstaltung Alternative Investments

ECTS Credits 2.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

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Incoming

After the successful completion of the course students are able to point out the characteristics of the asset class alternative investments. They are capable to analyse them and differentiate between different investment approaches. Furthermore, they have the ability to conduct performance and attribution analyses for this asset class. Additionally, the students are able to use alternative investment products in a portfolio management process to optimize portfolio selection.
Mehr Infos
Lehrveranstaltung Asset Class Credit Products

ECTS Credits 2.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course, students are able to characterize products of the asset class credit. They are capable of differentiating between different financial products within the asset class and identify their associated risks. Additionally, they are able to construct forecasting models for this asset class and utilize the results for portfolio allocation and selection. Furthermore, they have the ability to conduct performance and attribution analyses for this asset class.
Mehr Infos
Lehrveranstaltung Asset Class Equity

ECTS Credits 2.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course, students are able to point out the characteristics of the asset class equity and investigate on the risks associated with this asset class. They are capable of analysing equities based on financial or economical models and are able to construct simple forecasting models for this asset class. Based on the results of these forecasting models, students are able to conduct a portfolio selection. Furthermore, they have the ability to conduct performance and attribution analyses for this asset class.
Mehr Infos
Lehrveranstaltung Asset Class Foreign Exchange

ECTS Credits 1.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course, students are able to elaborate on the characteristics of the asset class foreign exchange. They are capable of analysing foreign exchange rate based products with special focus on the risks of these products. Furthermore, they can construct simple forecasting models for this asset class and utilize the results of these forecasting models in a portfolio allocation and selection process. Furthermore, they have the ability to conduct performance and attribution analyses for this asset class.
Mehr Infos
Lehrveranstaltung Asset Class Interest Rate Products

ECTS Credits 2.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course, students will become familiar with the language of stochastic calculus and Monte Carlo simulations; they will be able to approach and solve simple stochastic integrals and stochastic differential equations. Students will be able to use techniques of stochastic calculus and simulations in order to a) assess the market risk attached to interest rate based assets, b) calibrate interest rate models to market data, and c) correctly price interest rate based assets.
Mehr Infos
Lehrveranstaltung Introduction to Asset Management

ECTS Credits 2.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course, students are able to characterize the most important tasks in asset management and identify the risks associated with them. Furthermore, they can elaborate on different asset classes and identify characteristic risks of each of these. They can differentiate between strategic and tactical asset allocation and evaluate the risk profile of a chosen strategic asset allocation. They can outline financial models supporting the tasks in asset management and are able to calculate and critically analyse key figures used for these models. Furthermore, they are able to identify problems in the course of a portfolio management process and state possibilities to overcome these.
Mehr Infos
Lehrveranstaltung Measurement of Credit Risk

ECTS Credits 4.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course students are able to master the various different computational approaches to estimate risk determinants for credit risk (probabilities of default, losses given default and exposures at default). They can estimate the loss distribution of credit portfolios which allows them to estimate risk measures such as the Value at Risk or the Unexpected Loss. Also, they are able to test the quality of already implemented risk measurement models (back-testing) and they can conduct stress tests that analyse the impact of scarce extreme events. This detailed knowledge about credit risk measurement is essential for managing credit risk.
Mehr Infos
Lehrveranstaltung Measurement of Life Risk

ECTS Credits 3.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

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Incoming

After the successful completion of the course, students are able to master the various computational approaches to estimating mortality rates. This allows them to derive the distribution of the future life time of persons which is a major risk driver for life insurance risk. They understand how products that contain biometric risk (e.g. life insurance contracts) function, and they can price these products. Using their (pre-existing) knowledge of interest rate risk, students are able to estimate the loss distribution for a portfolio of insurance contracts. This understanding allows them to estimate risk measures such as the Value at Risk. Additionally, they are able to test the quality of already implemented risk measurement models (back-testing) and they can conduct stress tests that analyse the impact of scarce extreme events. This detailed knowledge of life risk measurement is essential for managing life risk.
Mehr Infos
Lehrveranstaltung Measurement of Market Risk

ECTS Credits 4.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course students are able to master the various different computational approaches to estimate market risk measures (historical simulation, variance-covariance approach, advanced alternative simulation approaches). Also, they are able to test the quality of already implemented risk measurement models (back-testing) and they can conduct stress tests that analyse the impact of scarce extreme events. This detailed knowledge about market risk measurement is essential for managing market risk.
Mehr Infos
Lehrveranstaltung Measurement of Non-Life Risk

ECTS Credits 2.00 ECTS Credits

Sprache Englisch Sprache

Studienplan BB Studienplan

Semester 2 SS Semester

ja symbol

Incoming

After the successful completion of the course students are able to master the various different computational approaches to estimate risk determinants for non-life risk (damage probabilities and amount of damage). They can estimate the loss distribution for non-life risks which allows them to estimate risk measures such as the Value at Risk. Also, they are able to test the quality of already implemented risk measurement models (back-testing) and they can conduct stress tests that analyse the impact of scarce extreme events. This detailed knowledge about non-life risk measurement is essential for managing non-life risk.
Mehr Infos

Legende: VZ = Vollzeit, BB = Berufsbegleitend, SS = Sommeremester, WS = Wintersemester

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We thank our partners

PRMIA accreditation for Quantitative Asset and Risk Management / PRM industry certificate

Alumni of Quantitative Asset and Risk Management will be eligible for exemption from PRM exam I and II (out of four exams): https://www.prmia.org/

Exemption PRMIA exams prerequisites and procedure (PDF, 368.98 KB)

CFA Society Austria

The master programme Quantitative Asset and Risk Management has strong ties to the CFA Society Austria and is submitting every year the best master theses to the CFA Austria Prize.

http://www.cfasociety.org/austria/Pages/default.aspx

SAS Joint Certificate

Graduates of the master’s programme in Quantitative Asset and Risk Management (ARIMA) are now awarded the SAS Joint Certificate. ARIMA is the only programme in Austria, and one of only two universities in Germany, Switzerland and Austria (German-speaking countries), offering this qualification. The condition for this was the use of SAS software in the classrooms.

SAS® Joint Certificate Program

FENION

We have a new research partner: FENION.

Fenion specializes in the delivery of high-quality fund data in all common formats. Our long-standing customers include banks, insurance companies, asset managers, as well as trusts and companies in the public sector. In the context of an Innovationsscheck, sponsored by the FFG (Forschungsförderungsgesellschaft), the study program will conduct joint research with Fenion in the field of regulatory reporting for pension funds.

https://fenion.at/

The programme at a glance

Degree/Title:

Master of Arts in Business, MA

Admission procedure

Written application, online MC test, structured interview. For preparation, we recommend our scripts. There are no external courses required.

Stay abroad

Obligatory in the second academic year, in blocked form (e.g. two weeks) at one of the partner universities.

Application deadline for EU/EEA citizens and applicants

15 May

Application deadline for non-EU/EEA citizens and applicants

30 April

Course language

English

Duration of studies I times

4 Semester I three times a week in the evening and Saturdays during the day (part-time)

Tuition fees

€ 363.36 per semester (+ € 20.20 fee student union)

Admission requirements

Completion of a social studies/business/natural science/ law/ technical degree in Austria or equivalent degree abroad (The legalization list can be found here under downloads.) with documented qualifications in

economic sciences (at least 9 ECTS) and
mathematics or statistics (at least 6 ECTS).

You can take our bridging courses to make up the necessary ECTS credits. These courses are offered free of charge.

Research

Information about research and development

We thank our sponsors:

"ARIMA (Quantitative Risk and Asset Management) is a very intensive master`s programme, which is just the thing for number-crunchers interested in finance, mathematics and statistics. The degree programme offers comprehensive quantitative know-how in asset and risk management, winning you over with practice-oriented applications. Since the studies are quite internationally-oriented, there are numerous possibilities for a successful career in finance and insurance."

Raphael Siegert, MA, graduate