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Georgia Institute of Technology Quantitative and Computational Finance (QCF) program

Georgia Tech's QCF Program is a professional, interdisciplinary graduate degree program.

  1. Laura Czyzewski
    Established:
    2001
    Type:
    Full-time, Part-time
    Tuition:
    Resident: $25,461 & Non-resident: $56,067
    Application deadline:
    Early decision: October 15th; Standard: January 15th
    Location:
    Atlanta, GA
    The Master of Science in Quantitative and Computational Finance (QCF) degree program at the Georgia Institute of Technology equips students with the advanced mathematical modeling skills used by the financial sector to structure transactions, manage risk, and construct investment strategies. Given the enormous impact and tremendous growth of the field of “financial engineering”, graduates of Georgia Tech’s QCF program are highly sought after for rewarding careers in investment banking, trading, asset and wealth management, consulting, risk management and more.

    An interdisciplinary education between the Scheller College of Business, H. Milton Steward School of Industrial & Systems Engineering and School of Mathematics, the QCF degree program offers an intensive curriculum emphasizing the practical application of finance, mathematical modeling, statistics, and analytical and computational skills through project-based coursework.

    The program is 1.5 years (or 3 semesters) in length.

    COURSEWORK: 12 classes, 36 credit hours total

    6 Core Courses
    · Finance & Investments
    · Stochastic Processes in Finance I
    · Numerical Methods in Finance
    · Design and Implementation of Systems to Support Computational
    Finance
    · Fixed Income Securities
    · Derivative Securities

    3 Restricted Electives

    Choose from six

    · Management of Financial Institutions (Risk Management)
    · Financial Optimization
    · Stochastic Processes in Finance II
    · Financial Data Analysis
    · Empirical Finance
    · The Practice of Quantitative and Computational Finance

    3 Free Electives - Flexible!
    Specialize your education from courses throughout Georgia Tech including but not limited to:

    · Machine Learning for Trading
    · Time Series Analysis
    · Computational Statistics
    · Computational Data Analysis
    · Data & Visual Analytics
    · Corporate Restructuring
    · International Finance
    · Big Data in Analytics
    · Entrepreneurial Finance & Private Equity
    · Regression Analysis

    Admissions for Fall 2015
    Applications: 786
    Admitted: 127
    Enrolled: 51*
    * A smaller class size is designed to give one-on-one academic and career advising and foster a tight-knit community for a strong lifelong personal and professional network.

    Our "Career Services" focus and mission is to connect students with employers, recruiters and industry professionals, building a rapport to transition QCF talent into the companies who hire for summer internships and permanent employment.

    For more information about the application process, deadlines, class profile, career placement statistics, etc, please visit www.qcf.gatech.edu
    or Request a Brochure.

    If you would like to schedule an informational interview in person or by phone/Skype, or for any additional questions about the program, please contact us at: info@qcf.gatech.edu

Recent Reviews

  1. Anonymous
    Anonymous
    4/5,
    Master of Science Financial Engineering program with most focus on computational mathematics and options pricing.

    What is unique about this program
    It is very computationally intensive with niches in energy risk/quantitative analysis and machine learning applications. The coursework is very rigorous, and it focuses on more practical projects with an intense development of the foundations of underlying theory. Overall, the education is outstanding.

    Worst things about the program
    Career services for the students within the program. Although, the director helps out in this respect and does a good job with placements. They are just short staffed in this regard.

    Career services
    Career services is almost there for someone to recruit for the students. Students find internships and jobs either through the school's career services or on their own. For domestic candidates, there is 100% full-time placement for the 2011 class. Overall, out of 60 students, there was about 80% placement, although that number will be larger in a few months in general.

    Most students obtain jobs in their home country. For the few that receive offers in the US, they get jobs as traders at prop shops, Quants at trading firms, market risk analysts at trading firms, private equity analysts, investment banking analysts and associates, consultants, trade platform application engineers, trade clearing quants at exchanges, financial analysts at banks (25/60 get placed in the US). Overall, a successful 2011 year.

    Student body
    75% Asian
    10% Indian
    10% American
    5% Other

    Lacks diversity in some sense. This most likely will change soon.
  2. Anonymous
    Anonymous
    4/5,
    Can you tell us a bit about your background?
    Bachelor in Construction Management and Economics from Tsinghua University, Beijing, China
    No prior work experience. Prior internship experience include securities company, real estate management company and oil company.
    I studied full-time in the program from 08/2008-12/2009

    Did you get admitted to other programs?
    Columbia University and Illinois Institute of Technology
    Why did you choose this program (over others, if applicable)?
    The tuition and the time admit me.

    What alternative sources of info you used to learn more about the program?
    Online BBS in China

    Tell us about the application process at this program
    online submission of resume, cover letter, transcript and recommendation letters

    Does this program offer refresher courses for incoming students? What do they offer and how much it costs?
    Yes, I can't rememeber the cost

    Tell us about the courses selection in this program. Any special courses you like?
    Derivative Securities, Stochastic Process, Practice of QCF

    Tell us about the quality of teaching
    Good.

    Materials used in the program
    Teacher's notes, most of time.

    Programming component of the program
    One course for programming, C and Java

    Projects
    Computational Finance and Mathematical Finance

    Career service
    Average

    What do you like about the program?
    Good

    What DON’T you like about the program?
    The career service is not good enough. Atlanta is not an excellent location for finance students already, so they should strengthen their career service to improve the placement of students.

    Suggestions for the program to make it better
    Career service and connection should get better.

    What are your current job status? What are you looking for? What would you prefer to work in?
    Prefer to work in statistical finance area.
  3. Anonymous
    Anonymous
    4/5,
    Can you tell us a bit about your background?
    Bachelors in Electrical Engg from IIT Kanpur India. GRE 800 Q, 640 Verbal. Prior work experience as software engineer/consultant.
    I studied full-time in the program from 06/2006 - 12/2007

    Did you get admitted to other programs?
    MFE Michigan

    Why did you choose this program (over others, if applicable)?
    Focus on Practical Learning and Concepts related to Financial Engineering and Low Cost of Tuition.

    What alternative sources of info you used to learn more about the program?
    Internet mainly.

    Tell us about the application process at this program
    The application was online and updated time-to-time. Dr Kertz (Program Director) was also very kind and helpful in answering questions related to admissions and course of study.

    Tell us about the courses selection in this program. Any special courses you like?
    Stochastic Processes in Finance I & II, Practice of QCF, Fixed Income, Numerical Methods.

    Tell us about the quality of teaching
    Most Faculty members are established and high calibre academicians from Math, ISYE, MBA departments. In the final semester some courses are offered by industry practitioners and professionals from Investment Banking and Trading.

    Materials used in the program
    Teacher's Notes and Standard Texts. But Notes are more useful. Classroom discussions are also quite productive and useful for the student.

    Programming component of the program
    C++, SAS, Java, MATLAB, GAMS.

    Projects
    Mainly a mixture of Coding and Research projects are assigned at group and individual levels.

    Career service
    The Director submits the Resumes of the student batch to Industry connections.

    What do you like about the program?
    Emphasis on practical methods of solving real world problems in finance and also helping the students to develop hands-on skills on programming and financial research projects. The professors of ISYE/Math in particular are gifted scholars and invest a lot of time and energy on teaching the practical concepts and their application to real-world financial engineering problems like derivatives pricing, portfolio management, Time series analysis of stock prices etc.

    What DON’T you like about the program?
    The MBA finance department is relatively weak. The department needs to boost its b-school rankings and should make efforts to add strength to the finance courses being offered to QCF students. The future looks promising because the gap is slowly narrowing down as the B-school is making good progress.

    Suggestions for the program to make it better
    The QCF program office should work on improving the finance curriculum.

    What are your current job status? What are you looking for?
    Financial Officer in Work Bank Group.

    Other comments
    Focus, Dedication and a strong penchant for finance and programming.
  4. Anonymous
    Anonymous
    4/5,
    I studied full-time in the program from 8/2008-12/2009

    Can you tell us a bit about your background?
    B.E. Computer Science, Shanghai Jiao Tong University;
    Internship: Machine Learning Group in Microsoft Research Aisa; Derivatives Dpt. in Haitong Securities; AXA HK.

    Did you get admitted to other programs?
    Minnesota MFE

    Why did you choose this program (over others, if applicable)?
    GaTech QCF is strong in its computational skills training and engineering math, due to the support form ISyE school, ranking #1 worldwide. They have a bunch of "real world" projects provided during the 1.5 years. Almost anyone interested in are able to contribute, which is very useful in job hunting. Furthermore, QCF has a large funding, so 1/3 students can get full scholarship during the 3 semesters.

    Tell us about the courses selection in this program. Any special courses you like?
    1/3 courses are of selection from a pool

    Tell us about the quality of teaching
    Average

    On a scale of 1-5, how would you grade the quality of teaching?
    4

    Materials used in the program
    Generally texts are recommended reading. The professors prefer to use their own materials.

    On a scale of 1-5, how would you grade the practicality of the curriculum?
    4

    Programming component of the program
    C++, Matlab, SAS, R. Half of the homework are using simple programming.

    Career service
    The director will send the resume book to the industry connection.

    On a scale of 1-5, how would you grade the career service for internship and full-time job?
    3

    What do you like about the program?
    Real world projects

    On a scale of 1-5, how would you grade the value of the program for the price tag?
    4

    What DON’T you like about the program?
    Finance part is not strong

    On a scale of 1-5, how would you grade your experience in the program?
    4

    What are your current job status? What are you looking for?
    Joined RiskMetrics.