FINANCIAL ENGINEERING

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POSTGRADUATE STUDIES SCIENCE & ENGINEERING

FINANCIAL ENGINEERING

 FINANCIAL MATHEMATICS

 INTEREST RATE MODELS

 FINANCIAL DECISION MAKING

 ECONOMICS OF BANKING

 INSURANCE MATHEMATICS

 RISK MEASURES AND RATING SYSTEMS

 FINANCIAL STATISTICS

 COMPUTATIONAL METHODS IN FINANCE

Distance learning programme

Master of Science

PROGRAMME INFORMATION

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3 CONTENT

PREFACE ... 5

ADVANCED SCIENTIFIC STUDY... 6

OBJECTIVES, ORGANISATION AND STRUCTURE ... 8

ACADEMIC ACHIEVEMENTS AND EXAMINATIONS... 16

CONTENT OF THE DISTANCE LEARNING PROGRAMME ... 18

AUTHORS ... 20

PARTICIPATING INSTITUTIONS ... 22

CONTACT PERSONS, CONSULTATION OPTIONS ... 26 AND CONTACT DETAILS

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5

PREFACE

WELCOME

We would like to thank you for your interest in the distance learning programme

“Financial Engineering” and are pleased to be able to present you with this programme information.

Advanced knowledge of the fundamental theory, continuous-time financial mathematics skills and the ability to put that expertise into practice, coupled with an understanding of key concepts in actuarial and financial mathematics is more important than ever to an understanding of the increasingly complex financial market. Competition for the best jobs in the finance and insurance sector is also set to intensify and acquiring that expertise significantly improves your chances of moving into this field or furthering your career in finance or insurance

The aim of this programme information is to answer the most important questions you may have about our distance learning programme. It will provide you with an overview of the organisational processes including, e.g., information on applications, graduation and programme content. In the first sections, you will receive general information about how the academic programme is organised as well as the relevant formalities and procedures. Then, we will present the necessary examination prerequisites and components, content of the programme and information on the authors of the study materials.

The final section includes general information on the Distance and Independent Studies Center (DISC) and the Technische Universität Kaiserslautern (TUK). We hope that this programme information will provide you with all the necessary information and help you make an informed decision about your future distance learning programme.

Prof. Dr. Jörn Saß

Technische Universität Kaiserslautern (TUK) Department of Mathematics

Scientific Director of the Distance Learning Programme

“Financial Engineering”

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CHARACTERISTICS OF ADVANCED SCIENTIFIC TRAINING

ADVANCED SCIENTIFIC TRAINING

 assumes an ability to study,

 assumes experience in scientific and academic work,

 expects a willingness to discuss other viewpoints,

 uses scientific language that is not always immediately accessible to a lay audience,

 expects a willingness to reflect on and interact with other linguistic forms and ways of thinking.

Do not expect easily “consumable” or “digestible” knowledge. Advanced scientific study imparts scientific theories as well as sound strategies and tools that can be reflected on and applied in your own professional career.

The field of advanced study offers a whole range of different training opportunities. They can be distinguished by, e.g., their different target audiences. Some programmes do not require any special educational prerequisites and can be taken by any interested and willing applicant. Other providers of advanced study, however, develop special courses that are aimed at a select group of people.

This limitation is due to the fact that some educational programmes require a certain degree of prior knowledge for successful completion. This also applies to advanced scientific study. Even though, in principle, no one should be excluded from insights and knowledge gained through science and research, it is nonetheless impossible to waive certain requirements for participation.

In general, this includes a willingness to acquire the language of science. In particular, however, applicants require the basic scientific knowledge of the respective subject to be studied.

WHAT CHARACTERISES ADVANCED SCIENTIFIC TRAINING?

Even if you have many commitments

both at work and home, a distance learning

degree at DISC enables you to make your

postgraduate lear ning

goals a reality.

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OBJECTIVES, ORGANISATION AND STRUCTURE

Distance learning programmes are basically defined by the fact that students do not physically attend the institution of higher education, instead the institution of higher education comes to them. Both programme organisation and the didactically pre- pared study materials are based on the concept of independent learning: the learners are supported in taking personal responsibility for their own learning process by a teaching-learning arrangement that consists of a combination of self-study materials, on-campus phases and online-based interac- tions in the online campus.

SELF-STUDY MATERIAL

Self-study material specifically developed for this distance learning programme, include substantia- ted and practice-oriented content, learning and reflection tasks with exemplary solutions, glos- saries and tips for further reading. Relevant texts and additional study materials are available for students online.

ON-CAMPUS PHASES

Mandatory on-campus phases take place once or twice per semester over a (long) weekend in Kai- serslautern. During the on-campus phases, the students have the opportunity to consolidate and

substantiate the self-taught content in the context of practical classes and group work and to further discuss their acquired skills and knowledge in con- sideration of current issues. The written module examinations are completed during mandatory on- campus phases.

ONLINE-CAMPUS

Each programme has an own virtual learning envi- ronment within the online campus that accompanies the students for the duration of their distance learning programme and includes the following interaction, communication and information chan- nels:

 communication forums for exchange with peers and supervisors,

 organisation of programme: information on examination prerequisites and components (e.g.

information on writing a Master´s thesis), registration for on-campus phases, overview of dates and deadlines, submission of examination prerequisites.

Depending on the distance learning programme and semester, some compact courses may be taught in the online campus.

OBJECTIVES OF THE DISTANCE LEARNING PROGRAMME

TARGET GROUP

PROGRAMME DURATION INDEPENDENT LEARNING

In-depth knowledge of modern financial mathematics and actuarial theory and their statistical and numerical use in practice are increasingly important in the finance and insurance industry. Regulators now also set strict risk assessment requirements for business portfolios and these require an understanding of the latest statistical methods and actuarial models. A combination of methods is key in practice, but this demands comprehensive mathematics

qualifications in all areas. The programme is tailo- red to the demands of every-day working practice:

interdisciplinary and designed to teach the advanced financial mathematics and financial economics theory and skills required for an in-depth understanding of the increasingly complex financial market. It also explores links to actuarial science and teaches relevant statistical and numerical methods.

The programme is aimed at graduates of mathematics programmes or graduates of other programmes whose initial degree had a significant mathematics component who want a more in-depth understanding of financial mathematics and to learn about

the background, concepts and methods and are see- king a career in applied financial mathematics or research.

The standard period of study in the distance learning programme “Financial Engineering” is six semesters, including examinations. Students require a total of 90 credit points to complete the programme. The programme starts in October of every year.

The programme offers

mathematicians and students of related disciplines with advanced mathematics skills an excellent opportunity to launch a career on

the financial and insurance market.

It focuses on both theory and aspects of practice.

Prof. Dr. Ralf Korn

Professor of Financial Mathematics and Stochastic Control

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ADMISSION REQUIREMENTS

APPLICATION AND ENROLMENT

ACCESS WITH A FIRST DEGREE

The application is open to people with a first degree of at least six semesters in a mathematics related discipline. In addition, evidence of a relevant professional experience of at least one year after the first degree must be provided.

ACCESS WITHOUT A FIRST DEGREE

Interested persons without a first degree have the opportunity to qualify for the programme by taking an aptitude test if they have sufficient relevant professional experience. The aim of this test is to determine whether these candidates have compa- rable skills and knowledge to candidates with a completed undergraduate degree. Upon successful passing of the test, candidates can then participate in the normal application procedure for a university place.

EVIDENCE OF KNOWLEDGE

Since the programme is taught in English, sufficient evidence of English language skills must be provided. In addition, evidence of sufficient knowledge from previous studies must be provided by means of an evaluation point system and successfully passed examinations for modules in the fields of analysis and stochastics. It is possible to provide evidence of this knowledge under certain conditions during the first two years of study.

Current information on admission requirements and the aptitude test can be found at www.zfuw.de

The application period lasts for several weeks and generally starts in mid-May of each year. The programme always starts in the winter semester. Infor- mation on the application procedure and deadlines can be accessed at www.zfuw.uni-kl.de/en/apply- now

Separate conditions apply for candidates with professional experience but no university degree.

Application deadlines for the aptitude test can be accessed at www.uni-kl.de/en/studium/vor-dem- studium/bewerbung/fernstudium/

You can discontinue or interrupt your distance learning programme at the end of each semester. The associated certificates of de-registration or leave of absence will also be issued at the end of the semester. The registration fee and the tuition fee cannot be reimbursed in the case of withdrawal after successful admission to the programme. Many students experience periods in which they need to focus

more strongly on their careers or families while enrolled in a distance learning programme. Expe- rience has shown that it is nonetheless possible to successfully graduate from the programme despite other commitments. Get in touch with your contact persons in time so that individual solutions can be found for you in order to avoid interrupting or even discontinuing your distance learning programme.

INTERRUPTION OF STUDIES

COSTS

FUNDING

DISADVANTAGE COMPENSATION

At the moment, the tuition fees are EUR 1.990 per semester as well as the social contribution of currently EUR 102 per semester. The one-time fee for the Master‘s thesis is EUR 500.

The tuition fees do not include travel and accom- modation expenses or meal allowances during the on-campus phases. Only the social contribution is charged in the first and second semester after the end of the standard period of study. Tuition fees

are reduced to 30 percent of the original fee as of the third semester exceeding the standard period of study. The tuition fees are exempted from Ger- man VAT and may be tax-deductible if the legal requirements are fulfilled. Tuition fees are charged every semester, depending on your enrolment or re- registration status. If you are enrolling for the first time, it is very important that you do not transfer the tuition fee until you have received your letter of admission.

The state offers individual tax incentives in Ger- many for advanced study measures. Depending on your personal income and job situation, you may be able to offset the costs of your distance learning programme as advertising expenses or special expenses and receive a partial or full refund. For more information, please contact an independent expert or your local tax authority. Unfortunately,

funding cannot be granted in accordance with the Sozialgesetzbuch – Drittes Buch (SGB III) (Social Security Code – Book Three) or the Bundesausbil- dungsförderungsgesetz (BaföG) (Federal Training Assistance Act). For more information on funding, please go to www.zfuw.uni-kl.de/en/information/

funding

Students with disabilities or severe disabilities can receive disadvantage compensation to counterba- lance disability-related disadvantages. Disadvan-

tage compensation is normally only granted once students submit proof of a severe disability as well as further conditions (marks).

FAMILY SUPPORT

Many students are also parents and want to combine their family life with their distance learning programme or career. TUK is dedicated to impro- ving the conditions for reconciliation of distance learning programme/science and family life. Our services include, among other things, an appea- ling family room that can be used by parents who

study or work at the TUK as well as by students in distance learning programmes during the on- campus phases. Furthermore, we offer free online courses such as e.g. “Work-Life-Learn-Balance”. For more information, please contact the programme management.

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WORKLOAD

LEARNING GROUPS

ON-CAMPUS PHASES

ONLINE-CAMPUS AND STUDY MATERIALS

The estimated workload for this distance learning programme is about 16-18 hours per week. Further- more, students must participate in one on-campus phase over a (long) weekend per semester.

The actual workload, however, depends on a variety of different factors such as e.g., individual habits or your professional and private circumstances. In

particular during your first semester, you should allocate sufficient time to your studies as you will still have to determine your personal working and learning style.

Experience has shown that forming voluntary learning groups is beneficial to our students. In these groups, students can regularly discuss the study materials and help each other prepare for examinations. Our online campus supports students in

organising car pools and founding learning groups.

We further provide students with the opportunity to share experiences and information or to simply become better acquainted, in our online discussion forums.

All students of the distance learning programme

“Financial Engineering” must participate in a mandatory on-campus phase at the end of each of the first four semesters. These usually take place from Friday midday to Sunday afternoon. Mandatory on- campus phases provide students with the opportunity to, e.g., consolidate programme content in the context of group work sessions or workshops, ask questions related to the topics of the study packages as well as to discuss the practical imple- mentation of programme content and thus initiate

first steps to transferring the acquired knowledge to practice. The written module examinations are also completed during mandatory on-campus phases.

Finally, these on-campus phases enable students to meet their peers, talk about experiences and find learning groups.

The participants themselves are responsible for organising bed and board during the mandatory on- campus phases.

The online campus is a central component of the distance learning programme and provides, e.g., information on important semester dates and organisation of the distance learning programme as well as examinations, access to materials and an opportunity to connect with other students. All study materials are uploaded to the online campus and students can register for the on-campus phases here as well.

The study materials were developed specifically for the distance learning programme and constitute a key component of independent self-study. For this reason, the documents have a self-explanatory

structure. These materials include all significant factual information on the topic and have been didactically and formally designed in such a way as to enable independent and autonomous knowledge acquisition. Enrolled students can access the material online as DIN A4 PDFs in our online campus.

Individual accounts are activated after receipt of the tuition fee.

It is also possible to order bound printed copies of the material from one of our associated printing shops at your own expense. If you are interested in this service, please use the print-on-demand func- tion in the online campus.

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14 STRUCTURE OF THE STUDY MATERIALS

GRADUATION

The materials include a table of contents followed by a glossary that clarifies domain-specific termin- ology as well as all foreign words necessary to understand the text for study. The list of referen- ces can be found after the brief introduction to the authors. Then, the learning objectives – that are of significant importance for all distance learning students – are defined. Finally, the objectives are followed by the actual text for study. In turn, the text for study contains formulas and exercises. You can independently check the solutions to the exercises

with the help of the respective solutions or hints in the appendix. The marginalia (side notes) make the text for study more accessible by providing summaries on the state and progress of the text. In addition, you can use the space for own comments and amendments. The text for study also contains information on further recommended reading. In the appendix, you will find supplementary and/

or explanatory information, images, flow charts, source texts etc. that could not be included in the actual text for study.

After completion of all examination prerequisites and components, students of the Master‘s programme “Financial Engineering” are awarded the academic degree Master of Science (M.Sc.).

The programme received system accreditation in an internal process from the accreditation council of the cross-university quality management centre.

SUCCESSFUL COMPLETION OF THE MASTER‘S PROGRAMME IS CERTIFIED WITH THREE DOCUMENTS:

 diploma from the TUK

 certificate documenting conferment of the academic degree Master of Science (M.Sc.)

 English-language Diploma Supplement

A Diploma Supplement is a standardised docu- ment that accompanies a higher education diploma in Europe. It provides a description of the nature, level, content, context and status of the completed studies and facilitates the comparison of European degrees.

According to FernstudiumCheck.de,

more than 95 %

of all students would recommend the

DISC.

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ACADEMIC ACHIEVEMENTS AND EXAMINATIONS

Depending on the module, you have a fixed amount of contact hours. Those hours may be completed within the framework of the four compulsory on-campus phases and partly by online tutorials.

MODULE MAIL-IN

EXERCISES

(ONLINE) TUTORIALS

WRITTEN EXAMINATION

PRESEN- TATION 1. semester

FE0010

lntroduction to Financial Mathematics FE0020

Insurance Mathematics

2. semester FE0030

Financial Mathematics FE0040

Economics of Banking

3. semester FE0050

Interest Rate Models FE0060

Financial Decision Making

4. semester FE0070

Risk and Statistical Modeling FE0080

Computational Methods in Finance

5. semester FE0080

Computational Methods in Finance FE0090

Advanced Financial Engineering

6. semester FE0100 Master´s thesis

OVERVIEW OF MODULES

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PROGRAMME CONTENT

The programme comprises ten modules consisting of two or three study packages each.

M1: INTRODUCTION TO FINANCIAL MATHEMATICS (FE0010)

M2: INSURANCE MATHEMATICS (FE0020)

M3: FINANCIAL MATHEMATICS (FE0030)

M4: ECONOMICS OF BANKING (FE0040)

M5: INTEREST RATE MODELS (FE0050)

M6: FINANCIAL DECISION MAKING (FE0060)

M7: RISK AND STATISTICAL MODELING (FE0070)

M8: COMPUTATIONAL METHODS IN FINANCE (FE0080)

The study package “Computational Finance”

(FE0081) covers the following topics:

 standard models: Black-Scholes, Heston and other SV models, local volatility

 model selection and calibration

 Approaches to option valuation: analytical formula, partial differential equations, Monte Carlo simulations, tree methods

 price calculation for exotic options and certificates

 selected topics on Monte Carlo simulations:

generation of random variables, numerical methods for SDE, variance reduction, stochastic Tay- lor series expansion

 convergence of stochastic methods and theorem of Donsker

The two study packages “Probability Concepts for Finance” (FE0011) and “Introduction to MATLAB”

(FE0012) cover the following topics:

 modeling of discrete-time financial markets

 applications of concepts of probability theory:

conditional expectation, martingales, stopping times, change of measure

 binomial model

 theory of pricing in discrete-time financial markets

 pricing of European options

 pricing of American options

 introduction to Matlab for stochastic problems

The study package “Insurance Mathematics”

(FE0020) covers the topics from the fields of life insurance and non-life insurance mathematics, including:

 mortality

 insurance benefits

 inclusion of costs

 joint life insurance

 individual and collective risk models

 ruin theory and ruin probability

 premium calculation and claim provisions

 reinsurance and risk sharing

The study package “Financial Mathematics”

 fundamentals of stochastic analysis (Brownian motion, Itô integral, Itô formula, martingale representation theorem, Girsanov theorem, linear stochastic differential equations, Feynman-Kac theorem)

 diffusion model for stock prices and trading strategies

 completeness of market

 valuation of options with the duplication principle, Black-Scholes formula

 valuation of options and partial differential equations

 exotic options

 arbitrage bounds (put-call parity, parity of prices for European and American calls)

The study package “Economics of Banking” (FE0040) covers the following topics:

 What is a bank, what are its core activities?

 the role of capital markets in intertemporal con- sumer choices

 liquidity insurance or why banks exist

 theory of the bank as a company

 banks as portfolio managers

 risk management

 credit rationing

 run on banks and how to prevent them

 macroeconomic aspects of banking

 the regulation of banks

The study package “Interest Rate Models” (FE0050) covers the following topics:

 basics of interest modeling

 Heath-Jarrow-Morton framework

 short rate models

 defaultable bonds (Merton model)

The study package “Financial Decision Making”

 mean-variance analysis (efficient portfolios, two- fund separation, CAPM model)

 valuation of financial derivatives in CAPM and its variants

 expected utility approach

 risk aversion

 extensions (e.g. asymmetric information, constraints)

 multi-periodic planning horizon

 continuous-time portfolio problem: expected utility approach

 martingale method in complete markets

 stochastic control approach (HJB equation, verifi- cation theorems)

 portfolio optimisation with constraints (e.g. risk bounds)

 outlook on incomplete markets: convex constraints

 alternative methods

The two study packages “Risk Measures and Rating Systems” (FE0071) and “Financial Statistics”

(FE0072) cover the following topics:

 preferences and expected utility

 axiomatic introduction and estimation of risk measures

 score-based rating systems and utility-based ratings

 credit default risks and risk-based insurance pre- miums

 portfolio optimisation under risk constraints

 models and estimation techniques for financial time series

 copulas and their use in risk management

 stochastic methods for estimating the probability of extreme events

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AUTHORS

DR. MARTIN BRACKE

FE0012: Introduction to MATLAB

ASSIST.-PROF. DR. HABIL.

SASCHA DESMETTRE

FE0011: Probability Concepts for Finance

PROF. DR. RALF KORN FE0020: Insurance Mathematics FE0030: Financial Mathematics

FE0080: Computational Methods in Finance

PROF. DR. JÖRN SASS

FE0011: Probability Concepts for Finance FE0020: Insurance Mathematics

FE0030: Financial Mathematics FE0050: Interest Rate Models FE0060: Financial Decision Making

FE0071: Risk Measures and Rating Systems

DR. STEFANIE SCHWAAR FE0012: Introduction to MATLAB

PROF. DR. FRANK SEIFRIED FE0050: Interest Rate Models

DR. JEAN-PIERRE STOCKIS FE0072: Financial Statistics

PROF. DR. JAN WENZELBURGER FE0040: Economics of Banking FE0060: Financial Decision Making

The course teaches advanced financial mathematics theory and

practical skills, and provides an

in-depth insight into the r elated fields of actuarial science, statistics,

computer-assisted methods and

financial economics. This gives students a comprehensive understanding of the increasingly complex financial mar kets.

Prof. Dr. Jörn Saß

Scientific Director

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PARTICIPATING INSTITUTIONS

DEPARTMENT AND SCIENTIFIC DIRECTION

The programme‘s scientific director is Prof. Dr. Jörn Saß.

Prof. Dr. Jörn Saß has been a member of the Finan- cial Mathematics Group at the TUK since 2008.

For the first five years, he held the Deutsche For- schungsgemeinschaft Heisenberg Chair. He previ- ously held posts at UBC in Vancouver, Canada and at Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Aca- demy of Sciences in Linz, Austria.

His research specialisms are in financial and actuarial mathematics and in related areas of statistics.

He focuses in particular on determining solutions and their explicit structure for portfolio optimisation under constraints, for example under trans- action costs, in incomplete markets and under risk constraints. His research fields also include option pricing, parameter estimation and actuarial equilib- rium models.

The Financial Mathematics Group is part of the Department of Mathematics at the TUK and also includes Prof. Dr. Ralf Korn. Prof. Dr. Ralf Korn‘s research specialisms in financial mathematics are portfolio optimisation, stochastic control, computational finance and Monte Carlo methods. The Department of Mathematics has a total of eleven working groups in four different fields of teaching and research.

Students at Kaiserslautern can therefore choose from the full range of mathematical specialisations, from theoretical to applied. Nowhere else offers such a wide range of options alongside a traditional mathematics degree to learn about mathematics as a key technology of the twenty-first century and to combine theory and practice.

Close collaboration with the Fraunhofer Institute for Industrial Mathematics (ITWM), founded in 1995 as a spin-off from the Department of Mathema- tics, gives students a unique insight into practice as part of their degree. One of the key partners of the Financial Mathematics Group is the Financial Mathematics Department at ITWM. This partnership and the number of chairs in financial mathematics and stochastics at Kaiserslautern allows us to offer in-depth mathematical qualifications in the field of financial mathematics with a strong link to practical requirements. What is more, these resources mean we have the teaching staff here to run all classes on the distance-learning Financial Engineering Mas- ters.

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PARTICIPATING INSTITUTIONS

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN (TUK)

DISTANCE AND INDEPENDENT STUDIES CENTER (DISC)

The DISC was founded as the Zentrum für Fernstu- dien und Universitäre Weiterbildung in 1992 and is a key scientific department of the TUK. The DISC incorporates the three areas: Zentrum für Fernstu- dien und Universitäre Weiterbildung (ZFUW, Center for Distance Studies and Advanced University Trai- ning), eTeaching Service Center (eTSC) and Selbst- lernzentrum (SLZ, Center for Self-directed Learning) that each addresses the overarching range of DISC tasks in various fields: distance learning, e-teaching support and self-study skills.

The range of measures that are offered in cooperation with the individual subjects and departments at the TUK include postgraduate distance learning programmes of varying duration and with different degrees. All distance learning programmes can be taken as part-time learning programmes. More than 4,300 students from Germany, Europe and the rest of the world are currently enrolled in the following distance learning programmes:

SCIENCE & ENGINEERING DEPARTMENT

 Developmental and Learning Disorders in Childhood (Certificate)

 Financial Engineering (Master of Science)

 Fire Prevention Planning (Master of Engineering)

 Medical Physics (Master of Science)

 Medical Physics and Engineering (Certificate)

 Nanobiotechnology (Certificate)

 Psychology of Developmental and Learning Disorders in Children (Master of Science)

 Software Engineering for Embedded Systems (Master of Engineering)

 Structural Fire Protection (Certificate)

 Technoethics (Certificate)

In addition to the above-mentioned distance learning programmes the DISC offers certificate courses.

We are constantly increasing our range of offered programmes. Current information can be found at www.zfuw.de

HUMAN RESOURCES DEPARTMENT

 Adult Education (Master of Arts)

 Human Resources Development (Master of Arts)

 Management of Digital Education Processes

 Organisation and Communication (Master of Arts)

 Organisational Development (Master of Arts)

 School Management (Master of Arts)

 Systemic Consulting (Master of Arts)

MANAGEMENT & LAW DEPARTMENT

 Business Administration and Management (Master of Arts)

 Commercial Law for Business Practice (Master of Laws)

 Management of Cultural and Non-Profit Organisations (Master of Arts)

 Management of Health and Social Institutions (Master of Arts)

 Master (Blended Learning) of Evaluation (MABLE) (Master of Arts)

 Sustainable Development Cooperation (Master of Arts)

The TUK is an internationally visible research university with a profile in the natural and engineering sciences. Fundamental research at the institute is conducted predominantly in seven collaborative research centres (SFBs) and transregional research centres (Transregio-SFBs). The ten research departments at the university collaborate closely in their work on important areas of application-oriented research.

As a campus university with around 14,600 students, the TUK offers approximately 100 future-oriented degree programmes in twelve departments. The convenient size of the university also guarantees students close contact to professors and outstan- ding individual support. The TUK has a lot to offer its students, including a multitude of attractive degree programmes such as biophysics, biological or chemical engineering, food chemistry and mathematical engineering. Most degree programmes are interdisciplinary in nature and therefore unite various fields of study. A degree in a STEM subject (science, technology, engineering, mathematics) opens interesting and diverse career prospects as well as high earning potentials.

The TUK enjoys an excellent international repu- tation in research and teaching. It is also widely renowned for its mathematics and computer science departments. In addition, students and (junior) researchers benefit from cooperations with internationally acclaimed research institutes including, amongst others, two Fraunhofer institutes, one Max Planck institute, the German Research Centre for Artificial Intelligence and the Institute for Compo- site Materials.

Kaiserslautern as a centre for science is one of the largest IT clusters in Europe.

UNIVERSITY LIBRARY

The university library (UB) is a key department of the TUK and ensures supply of literature and information for researchers, teachers and students.

The library provides its users with access to nume- rous electronic media such as e-books, e-journals and data bases as well as printed books, scientific journals and other information media. Distance students can also access the online media and services from external locations.

Further information can be found at www.uni-kl.de

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CONTACT PERSONS, CONSULTATION OPTIONS AND CONTACT DETAILS

DO YOU HAVE ANY QUESTIONS?

CONTACT US. WE ARE HERE TO HELP.

CONTACT PERSONS

Subject to modifications and errors

Further information on the Master’s programme “Financial Engineering” is available at www.zfuw.de

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN Distance and Independent Studies Center (DISC) Postfach 3049

D-67653 Kaiserslautern

Erwin-Schrödinger-Straße, Gebäude 57 D-67663 Kaiserslautern

E-mail: [email protected] www.zfuw.de

Programme Management Ludmilla Gutmacher M.Sc.

Tel.: +49 631 205-5367

E-Mail: [email protected]

Secretary´s Office Susan Carter

Tel: +49 631 205-5376

E-Mail: [email protected]

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Technische Universität Kaiserslautern

Distance and Independent Studies Center (DISC) Postfach 3049

D-67653 Kaiserslautern Phone: +49 631 205-4925 Fax: +49 631 205-4940 E-Mail: [email protected] www.zfuw.de

Last updated: June 2021