Final MSCF Brochure Fall 2012

MSCFMSCFMASTER OF SCIENCE IN

COMPUTATIONAL FINANCE

Carnegie Mellon University

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

Masters Admissions Office

Tel: 412.268.3679

Fax: 412.268.4209

www.cmu.edu/mscf

Statement of Assurance

Carnegie Mellon University does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex,

handicap or disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status, or genetic information. Furthermore, Carnegie Mellon University

does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

Inquiries concerning the application of and compliance with this statement should be directed to the vice president for campus affairs, Carnegie Mellon University,

5000 Forbes Avenue, Pittsburgh, PA 15213, telephone 412-268-2056.

Carnegie Mellon University publishes an annual campus security and fire safety report describing the university’s security, alcohol and drug, sexual assault, and fire safety

policies and containing statistics about the number and type of crimes committed on the campus and the number and cause of fires in campus residence facilities during

the preceding three years. You can obtain a copy by contacting the Carnegie Mellon Police Department at 412-268-2323. The annual security and fire safety report is

also available online at www.cmu.edu/police/annualreports.

MSC

FCarnegie Mellon University

MSCFMASTER OF SCIENCE IN


>New York

>Pittsburgh

>Online

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MSCF: quantifiably different

Known worldwide for its expertise in computer science, math and applying the tools of quantitative analysis to business, Carnegie Mellon created the first quantitative finance degree in 1994. Competing now against many programs, Carnegie Mellon’s MSCF degree is regarded by many as the leading program of its kind.

Our integrated curriculum, made possible by the interdisciplinary joint venture of four Carnegie Mellon colleges, is designed specifically for the MSCF program. Our students’ impressive job placement record, both in summer internships and in full-time jobs, attests to the high regard global financial services firms have for the education we provide.

We welcome your interest in the MSCF program and encourage you to apply.

Richard Bryant

Executive Director Computational Finance Program MSCF Steering Committee

Adjunct Professor of Industrial Administration Tepper School of Business

“In addition to providing a solid foundation

in the fundamentals of quantitative finance,

our graduates possess the high-level skills and

conceptual framework required to meet the

needs of an ever-changing and increasingly

complex financial services industry.”

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“There are moments in your life that transform and enrich

you, that make you into a better version of yourself. The

MSCF program was one of these moments. They challenged

and encouraged me to be a better presenter, a stronger

thinker, and an analytical observer of the markets.”

COVER:Natalie Regev, MSCF ‘12

2011 MSCF Summer Internship: BNP Paribas Sales and Structuring Intern New York, NY

CARNEGIE MELLON DEANS

Robert M. DammonTepper School of Business

Fred GilmanMellon College of Science

John P. LehoczkyMarianna Brown Dietrich College of Humanities and Social Sciences

Ramayya KrishnanHeinz College

MSCF STEERING COMMITTEE

Richard L. BryantExecutive Director Computational Finance Program

Adjunct Professor Tepper School of Business

John P. LehoczkyDean Marianna Brown Dietrich College of Humanities and Social Sciences

Thomas Lord University Professor of Statistics and Mathematics

Stephen RoehrigTeaching Professor of Information Systems

Heinz College

Duane J. SeppiThe BNY Mellon Professor of Finance

Tepper School of Business

Steven ShreveOrion Hoch Professor of Mathematical Sciences

Mellon College of Science

INFORMATION

Masters Admissions OfficeT 412.268.3679 F 412.268.4209 E [email protected] W www.cmu.edu/mscf

Financial Aid OfficeT 412.268.1242 F 412.268.2810 E [email protected] W www.tepper.cmu.edu/mscfaid

Career Opportunity CenterT 412.268.2278 W www.tepper.cmu.edu/mscfcareers

Terry BeltonManaging Director JPMorgan Chase

Ian DomowitzManaging Director Investment Technology Group

Thomas HartnettManaging Director Deutsche Bank

Keishi HotsukiManaging Director Global Head of Market Risk Management Morgan Stanley

Jon KinolManaging Director Credit Suisse

Erwin MartensExecutive Vice President TIAA-CREF

Prakash NarayananPartner and Portfolio Manager Saba Capital Management

Riccardo RebonatoGlobal Head Royal Bank of Scotland

Jeffrey RosenbergChief Investment Strategist Blackrock

Paul RussoManaging Director Goldman Sachs

2011 – 2012 MSCF ADVISORY BOARD

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MSCF | TEPPER SCHOOL OF BUSINESS | DEPARTMENT OF MATHEMATICAL SCIENCES | DEPARTMENT OF STATISTICS | HEINZ COLLEGE

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MSCF DegreeThe MSCF degree builds upon your strong quantitative and computing skills, adding a broad conceptual framework and grounding in quantitative finance. You emerge with a deep understanding of financial markets and their mathematical underpinnings.

Whether you are straight out of school, currently working in the industry or a career-changer, the MSCF degree can help open doors in trading, product structuring, quantitative portfolio management, financial analytics and risk management. You will join a select and influential global alumni network working in investment banks, mutual funds, hedge funds, trading firms, and insurance companies.

The MSCF/MBA Dual DegreeIndividuals seeking broad management coursework in addition to the highly focused MSCF curriculum can apply to Carnegie Mellon’s five-semester MSCF/MBA degree in Pittsburgh. Building on MSCF’s more quantitative finance curriculum, the dual degree candidate is further broadened by an array of MBA marketing, strategy, communications and operations courses.

Deeper learning. Broader options.

“The MSCF program is a shining example

of enduring cross-campus collaboration.

The Tepper School is proud to provide

the finance curriculum for the MSCF

program and to serve as the program’s

administrator.”

Robert Dammon

Dean, Tepper School of Business Professor of Financial Economics

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94/95Leveraging its strengths in finance, mathematics,

statistics and computing, Carnegie Mellon University

pioneered the financial engineering degree in

Pittsburgh in 1994 and in New York in 1995.

“The MBA/MSCF dual degree

is designed for the person

who loves a challenge, and it

consistently over-delivers.

I excel in my career because

I’ve been prepared for an

unrivaled level of intensity.”

Stephano Dubuc Jr., DUAL MBA/MSCF ’11

Nomura Investment Bank Global Markets Associate, MBS Trading New York, NY

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While the terms quantitative finance, computational finance, mathematical finance and financial engineering are often used interchangeably, there exist subtle, but significant, differences in their meanings. Financial engineering programs often emphasize finance and financial markets at the expense of more rigorous computing and quantitative skills. Some mathematical finance programs focus on theoretical math at the expense of real-world application. Few programs embed programming into their curricula and fewer still have been able to replicate Carnegie Mellon’s well-balanced and carefully coordinated mix of quant, applied finance and computation.

From the start, Carnegie Mellon University designed the program as a fully integrated and cohesive venture between four colleges, delivering a course of study, tailor-made for the computational finance student. For example, Stochastic Calculus for Finance draws from current practice in the financial services industry and is designed expressly for the MSCF program. The same is true for most of the courses in the curriculum, including Advanced Derivative Models, Credit Derivatives, Financial Economics, Fixed Income, Options, Statistical Arbitrage, Simulation Methods of Options Pricing, and Linear Financial Models.

A degree of differenceNot All Financial Engineering Degrees Deliver The Same Value

> Is the program isolated in one department

or top-heavy in math or finance?

> Will you benefit from a customized curriculum

that is designed specifically for the program?

> Will you benefit from full-time faculty

teaching in their areas of research interest?

> Does the program offer dedicated career

services support and work closely with

the key recruiters that match your career

goals and interests?

> Will you enjoy a program with many years

of experience in shaping its curriculum and

career success of its students?

> Will you be participating in a program

nationally recognized as an innovator

within the industry?

“The faculty are committed

to teaching, and the program

leaders put a tremendous

amount of energy and thought

into the program.”

Michele Ruvolo, MSCF ‘09

Sterling Stamos Capital Management Managing Director, Risk Management New York, NY


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Blue-chip faculty

The MSCF program enjoys a worldwide reputation for excellence, one that rests squarely on the strength of our faculty and extends to courses carefully developed and refined by them over almost two decades.

MSCF students benefit from faculty from four colleges on the Carnegie Mellon University Campus – the Department of Mathematical Sciences, the Department of Statistics, the Heinz College and the Tepper School of Business – whose research interests include financial engineering, stochastic processes, market microstructure and financial risk management. Our faculty members maintain vital links with the global financial services industry through consulting assignments, advisory boards and interaction with former students.

Carnegie Mellon also attracts undergraduates to its bachelor’s degree in Computational Finance, as well as doctoral candidates in mathematical finance and continues to invest in new MSCF faculty, adding to the unparalleled intellectual capital of the program.

21 full-time faculty, representing four

Carnegie Mellon University colleges,

teach in the MSCF program.

“Carnegie Mellon University is a small

research university that cannot afford

barriers between departments. We choose

not to do everything. Yet, in those

areas where we choose to be a player,

we are among the world’s best.”

Steven Shreve

Orion Hoch Professor of Mathematical Sciences Mellon College of Science MSCF Co-Founder MSCF Steering Committee

“The degree of collaboration across

disciplines, colleges and faculty in

the MSCF program is truly unique.

It could only be accomplished at

Carnegie Mellon.”

Steven Roehrig

Teaching Professor of Information Systems Heinz College MSCF Steering Committee

Duane J. SeppiThe BNY Mellon Professor of Finance Tepper School of Business

John P. LehoczkyDean, Marianna Brown Dietrich College of Humanities and Social SciencesThomas Lord University Professor of Statistics and MathematicsMSCF Co-Founder

Stephen RoehrigTeaching Professor of Information Systems Heinz College

Steven ShreveOrion Hoch Professor of Mathematical Sciences Mellon College of Science MSCF Co-Founder

Richard L. BryantExecutive Director, Computational Finance Adjunct Professor, Tepper School of Business


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Three options, one life-changing experience

Beginning Fall 2012, the Master of Science in

Computational Finance program offers the MSCF

degree without a residency requirement. The online

option is identical in cost and curriculum to the

thirty-three month, twelve mini-semester course

of study taken by our resident, part-time students.

Online students have the option to either

participate live via interactive video in the live

class from the student’s laptop; watch the class

live through his/her laptop; or review the recorded

video after the lecture has been given.

Students earning the degree online receive the

same diploma as our resident full-time and part-

time students. Academic resources are available

through Carnegie Mellon’s online library and

“Blackboard” software; “out-of-classroom”

student interaction is encouraged through social

media. Exams are conducted using an online

proctoring service.

Online students receive career services similar to

those offered our resident, part-time students,

including access to our career counseling and

online career education/counseling services.

The online program is designed to accommodate

the needs of individuals already working in the

industry and unable to relocate to our campus in

Pittsburgh or New York.

“There are no surprises here.

The MSCF program in tough.

But, everyday I am challenged

to accomplish goals that will

play a vital role in my career

success. I am impressed by the

dedicated faculty and staff

that have created such a unique

and outstanding program.”

Molly Zhu, MSCF ‘12

2011 MSCF Summer Internship: JPMorgan Chase Summer Associate New York, NY

A New MSCF Option:Online, Interactive Study

The Program The MSCF program is delivered live between our New York City and Pittsburgh, PA campuses. Instruction originates in Pittsburgh or New York and is broadcast to the alternate classroom in high-definition video with full two-way audio, permitting full participation between the two classrooms. Online students also connect to this live broadcast and communicate with the professor and other students throughout the lecture. Pittsburgh and New York have approximately 35 full-time students; New York has 50 part-time students.

The Classroom Each MSCF semester is divided into two mini-semesters, or “minis,” of seven weeks duration. Classes in Pittsburgh are held at the Tepper School of Business. The New York facility features three large classrooms, a number of offices and conference rooms, and a large lounge and common area for social gatherings. Faculty teach in New York twice every seven weeks and remain in New York following the lectures for discussion and social events. Online students participate in the same class as our Pittsburgh and New York-based students. All lectures are streamed live and captured electronically for review throughout the duration of the semester.

The LocationMSCF’s New York City campus is located at 55 Broad Street in downtown Manhattan, a block from the New York Stock Exchange and a short walk or subway ride to the world’s largest banks. Our major recruiters and alumni find this location to be advantageous for those new to the industry.

MSCF’s Pittsburgh campus is located in the vibrant suburb of Oakland. Pittsburgh students enjoy a traditional campus environment and can participate in various clubs and activities offered on campus. When time permits, Pittsburgh students can also take other courses offered by the many colleges on the Carnegie Mellon campus.


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World-renowned curriculum

The MSCF program begins with traditional theories of equity and bond portfolio management and quickly expands to include the stochastic calculus models upon which derivative trading is based. These models are applied to both fixed income and equity markets, employing computational methods such as Monte Carlo simulation and finite difference approximations of partial differential equations.

C++ is taught in the initial stages of the program and is then used in downstream courses to code modules and to build pricing libraries. Statistical methodologies are also applied, including regression and time series analysis. The program exposes students to various trading strategies through the MSCF Deutsche Trading Competition.

The program culminates with courses on model calibration, statistical arbitrage, risk management and dynamic asset management and concludes with a sophisticated capstone financial engineering case studies course.

ACADEMIC YEAR 1MINI 1> MSCF Finance

> Financial Computing I

> Probability

> Macroeconomics for Computational Finance

> Presentations for Computational Finance

MINI 2> Fixed Income

> Options

> Statistical Inference

> Multi-Period Asset Pricing

> MSCF Deutsche Trading Competition

MINI 3> Financial Products and Markets

> Financial Computing II

> Linear Financial Models

> Stochastic Calculus for Finance I

MINI 4> Financial Time Series Analysis

> Financial Computing III

> Stochastic Calculus for Finance II

> Simulation Methods for Options Pricing

SUMMER INTERNSHIP

ACADEMIC YEAR 2MINI 1> Advanced Derivative Modeling

> Studies in Financial Engineering

> Statistical Arbitrage

> Numerical Methods

MINI 2Choose four of five:> Quantitative Asset Management

> Topics in Quantitative Finance

> Credit Derivatives

> Financial Economics for Computational Finance

> Financial Computing IV

FALL 1> Financial Computing I

> MSCF Finance

> Probability

FALL 2> Multi-Period Asset Pricing

> Statistical Inference

SPRING 3> Financial Computing II

> Linear Financial Models

SPRING 4> Financial Computing III

> Financial Time Series Analysis

FALL 1> Macroeconomics for

Computational Finance

> Statistical Arbitrage

FALL 2> Fixed Income

> MSCF Deutsche Trading Competition

> Options

SPRING 3 > Financial Products and Markets

> Stochastic Calculus for Finance I

SPRING 4> Simulation Methods for Option

Pricing

> Stochastic Calculus for Finance II

FALL 1> Advanced Derivative Modeling

> Studies in Financial Engineering

FALL 2Choose two of three:> Financial Economics for


> Quantitative Asset Management

> Topics in Quantitative Finance

SPRING 3> Credit Derivatives

> Financial Computing IV

SPRING 4> Presentations for


> Numerical Methods

“New York students enjoy

the same level of course

instruction as their Pittsburgh

classmates and participate

fully in the classroom. The

resources of Carnegie Mellon

University feature advanced

distance learning. This is

state-of-the-art delivery that

is totally seamless.”

Duane J. Seppi

The BNY Mellon Professor of Finance Tepper School of Business MSCF Steering Committee

27 MSCF’s 27 courses are designed to provide our graduates

with the comprehensive body of knowledge required to

succeed in the quantitative finance industry.

Networking and Career Support

CAREER OPPORTUNITIES

Representatives from the Tepper School of

Business Career Opportunities Center are located

at both our Pittsburgh and New York campuses,

providing extensive support for your job search.

Recruiting activity is brisk. More than 50 of the

world’s largest financial services firms, as well as

many smaller hedge funds, analytics and trading

companies, actively recruit from the MSCF

program (see insert).

SUMMER INTERNSHIP

The summer internship is optional but strongly

encouraged, providing an opportunity for

both the firm and the student to conduct an

evaluation. Many MSCF students accept full-

time positions and return to their internship

firms upon graduation.

MSCF SPEAKER SERIES

Throughout the academic year, industry

practitioners share their experiences with our

students as a part of the MSCF Speaker Series.

Students gain knowledge of specific career paths,

applied markets and areas of current research

in quantitative finance. Speaker presentations

occur over lunch, either at our New York or our

Pittsburgh location, and are broadcast live to

the remote campus and to our online students.

MSCF Full-Time Curriculum MSCF Part-Time Curriculum


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Course descriptions

Advanced Derivative Modeling This course treats models in which underlying asset prices jump and/or have stochastic volatility. Stochastic Calculus and change-of-measure techniques will be developed for these processes.

Credit DerivativesStudents acquire an extensive skill set for modeling and predicting correlated default arrivals and changes in credit quality and the pricing of baskets of credit-sensitive securities.

Financial Computing I This course covers the fundamentals of programming in C++ in the context of various elementary finance-related problems.

Financial Computing IIStudents look more deeply at the C++ standard library, relational databases, relational algebra, the relational calculus, the query language SQL and the construction of static and dynamically linked libraries.

Financial Computing III Students examine memory management, resource allocation, exception-safe code, profiling, optimizations, and learn ways of coupling Excel, VBA and C++.

Financial Computing IV This course is organized around a project of design and implementation of a powerful C++ library for pricing of derivative securities.

Financial Economics for Computational Finance This course connects arbitrage-free pricing models with economic models of risk and return to evaluate proprietary portfolios. The course also considers the role of the banks in financial intermediation, market making, securitization, and bankruptcy restructuring.

Financial Products and MarketsTaught predominantly by practitioners in the industry, this course provides a broad overview of the financial markets, their institutions and the products they create and trade.

Financial Time Series Analysis This course introduces time series methodology with an emphasis on the data analytic aspects related to financial applications. Topics include univariate ARIMA modeling, forecasting, seasonality, model identification and diagnostics.

Fixed Income This course introduces the securities traded in fixed income markets and the valuation models used to price them.

Linear Financial Models This is a course in regression analysis and linear models with application to equity portfolio management. Basic methods taught in the course include simple and multiple linear regression, model selection, residual analysis, diagnostics, detection of multi-collinearity, nonstandard conditions and transformations.

Macroeconomics for Computational Finance This course develops the microeconomics that support classical valuation theory. Interest rates and monetary policy, foreign exchange rates and money and banking are also covered.

MSCF Deutsche Trading Competition Employing fixed income and derivatives instruments, individuals trade and make markets using $10,000,000 “paper trading” accounts through Interactive Brokers and compete for cash awards.

MSCF Finance An introduction to the financial problems faced by firms, this course includes: time value of money and compounding, capital budgeting, portfolio theory, risk and return, capital structure and dividend policy.

Multi-Period Asset Pricing This course introduces the concepts of arbitrage and risk-neutral pricing within the context of multi-period financial models.

Numerical Methods This course covers numerical methods relevant to solving the partial differential equations that arise in finance.

Options The focus of this course is on pricing and hedging assets with option-like features. Examples include calls, puts, warrants, bank loans and underwriting contracts.

Presentations for Computational Finance This course provides practical, usable and relevant practice and study in oral communications.

Probability This course introduces the basic ideas and methods of calculus-based probability theory.

Quantitative Asset Management Following a review of mean-variance optimization and multiple factor models, this course looks at multi-period models including transaction costs and taxes.

Simulation Methods for Option Pricing This course presents random variable generation, variance reduction methods and statistical analysis of simulation output as well as the use of Monte Carlo simulation in solving applied problems in derivative pricing.

Statistical Arbitrage This course provides students with the basic concepts and techniques for statistical-based trading, including pairs trading, value-based methods, momentum-based strategies, cointegration-based trading and technical analysis.

“We strive to offer a curriculum

that not only prepares students

for their first position in the finance

industry, but allows them to excel

as the industry evolves. It is our

fully integrated, interdisciplinary

approach that provides this

unique and powerful preparation.”

John P. Lehoczky

Dean, Marianna Brown Dietrich College of Humanities and Social Sciences Thomas Lord University Professor of Statistics and Mathematics MSCF Co-Founder MSCF Steering Committee

Statistical Inference This course introduces the basic ideas and methods of statistical inference including estimation and regression analysis.

Stochastic Calculus for Finance I This course introduces martingales, Brownian motion, Ito integrals and Ito’s formula, in both the uni-variate and multi-variate case. This is done within the context of the Black-Scholes option pricing model and includes a detailed examination of this model.

Stochastic Calculus for Finance II This course treats the theory and implementation of interest-rate term structure models. Both risk-neutral and forward measures are used. Models covered include Hull-White, Cox-Ingersoll-Ross, Heath-Jarrow-Morton and Brace-Gatarek-Musiela.

Studies in Financial Engineering This course uses financial engineering and derivative securities to solve practical business problems. Students give in-class simulated sales presentations to hypothetical clients, highlighting the design, valuation and hedging of structured products.

Topics in Quantitative Finance Topics include the application of heavy-tailed distributions and simulation methods to financial risk management, models for the spread between forward interest rates and interest rate futures, the theory of American options, models for exchange rates, and pricing and hedging exotic options.

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Career-minded from Day OneStudents in the MSCF program receive a broad range of career services through the Tepper School’s Career Opportunities Center (COC). Students are encouraged to begin career building as soon as they arrive at school, taking full advantage of the COC’s resources, workshops and training. In addition to facilitating on-campus corporate presentations and recruiting activities, the COC assists MSCF students through resume writing seminars, mock interviews and recruiting events held each October and January at the New York campus.

MSCF students pursue careers in derivatives pricing and trading, risk management, structured products, financial analytics and quantitative portfolio management. One person builds models to assess counterparty risk, another trades bond options; one is involved in fixed income research, another a “desk quant” on the trading floor of a large sell-side bank, yet another in “strats” in equity derivatives. We have graduates developing proprietary trading strategies for the hedge funds and those that have started their own money management firms.

A few choose London, most are in the U.S., particularly in the New York area, while a growing number are finding excellent opportunities in Hong Kong and Singapore. Our students exclusively choose quantitative environments within the financial services industry and thrive on the dynamism of the financial markets.

MSCF career pathsThe Career Opportunities Center Provides a Variety Of Services

> Access to Alumni Directory Database

> Access to COC’s Employer Contact Database

> A Web-based system for registering and

applying for on-campus interviews, distributing

job descriptions via email and completing

resume referrals

> Individual assistance ranging from resume

review to interview preparation and job offer

negotiation

> Individual career counseling appointments

> Career fairs and employer visits

> Corporate presentations that provide

opportunities for personal exploration and

networking

> Career Resource Library

> Mock interviews with the COC staff and/or

alumni and corporate friends

> Individual appointments for feedback from

on-campus interviews

See inserted materials in the back of this brochure

on COC services and statistics. 96%In 2011, 96% of MSCF graduates received offers.

In 2010, 91% received offers and in 2009, a difficult year,

86% received offers (offers shown are as of three months

from graduation).

“The MSCF program

provided me with

the tools and network

essential to my

development as

a trader.”

Prakash Narayanan, MSCF ‘02

Saba Capital Management Partner and Portfolio Manager New York, NY



“Thanks to MSCF’s highly

technical combination of

computer science, math,

finance and, most importantly,

thanks to the very strong

personal network it provides

its graduates, the program

was an ideal foundation for

a career in Fixed Income

Sales and Trading.”

Clemence Mauchamp, MSCF ‘04

Merrill Lynch and Co., Inc. Vice President, Strategic Solutions Group London, UK

“There are moments in your life that transform and enrich

you, that make you into a better version of yourself. The

MSCF program was one of these moments. They challenged

and encouraged me to be a better presenter, a stronger

thinker, and an analytical observer of the markets.”

COVER:Natalie Regev, MSCF ‘12

2011 MSCF Summer Internship: BNP Paribas Sales and Structuring Intern New York, NY

CARNEGIE MELLON DEANS

Robert M. DammonTepper School of Business

Fred GilmanMellon College of Science

John P. LehoczkyMarianna Brown Dietrich College of Humanities and Social Sciences

Ramayya KrishnanHeinz College

MSCF STEERING COMMITTEE

Richard L. BryantExecutive Director Computational Finance Program

Adjunct Professor Tepper School of Business

John P. LehoczkyDean Marianna Brown Dietrich College of Humanities and Social Sciences

Thomas Lord University Professor of Statistics and Mathematics

Stephen RoehrigTeaching Professor of Information Systems

Heinz College

Duane J. SeppiThe BNY Mellon Professor of Finance

Tepper School of Business

Steven ShreveOrion Hoch Professor of Mathematical Sciences

Mellon College of Science

INFORMATION

Masters Admissions OfficeT 412.268.3679 F 412.268.4209 E [email protected] W www.cmu.edu/mscf

Financial Aid OfficeT 412.268.1242 F 412.268.2810 E [email protected] W www.tepper.cmu.edu/mscfaid

Career Opportunity CenterT 412.268.2278 W www.tepper.cmu.edu/mscfcareers

Terry BeltonManaging Director JPMorgan Chase

Ian DomowitzManaging Director Investment Technology Group

Thomas HartnettManaging Director Deutsche Bank

Keishi HotsukiManaging Director Global Head of Market Risk Management Morgan Stanley

Jon KinolManaging Director Credit Suisse

Erwin MartensExecutive Vice President TIAA-CREF

Prakash NarayananPartner and Portfolio Manager Saba Capital Management

Riccardo RebonatoGlobal Head Royal Bank of Scotland

Jeffrey RosenbergChief Investment Strategist Blackrock

Paul RussoManaging Director Goldman Sachs

2011 – 2012 MSCF ADVISORY BOARD

MSCFMSCFMASTER OF SCIENCE IN


Carnegie Mellon University

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

Masters Admissions Office

Tel: 412.268.3679

Fax: 412.268.4209

www.cmu.edu/mscf

Statement of Assurance

Carnegie Mellon University does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex,

handicap or disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status, or genetic information. Furthermore, Carnegie Mellon University

does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

Inquiries concerning the application of and compliance with this statement should be directed to the vice president for campus affairs, Carnegie Mellon University,

5000 Forbes Avenue, Pittsburgh, PA 15213, telephone 412-268-2056.

Carnegie Mellon University publishes an annual campus security and fire safety report describing the university’s security, alcohol and drug, sexual assault, and fire safety

policies and containing statistics about the number and type of crimes committed on the campus and the number and cause of fires in campus residence facilities during

the preceding three years. You can obtain a copy by contacting the Carnegie Mellon Police Department at 412-268-2323. The annual security and fire safety report is

also available online at www.cmu.edu/police/annualreports.

MSC

FCarnegie Mellon University

MSCFMASTER OF SCIENCE IN


>New York

>Pittsburgh

>Online

Documents

Final MSCF Brochure Fall 2012