Master of Engineering FinTech Concentration

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Application deadline
January 6, 2018

Key Learning Objectives

The Master of Engineering (MEng) in Industrial Engineering and Operations Research (IEOR) is an applied degree combining business-oriented coursework with applications-focused IEOR Courses. It is intended to prepare students for professional practice.

The FinTech concentration within this degree focuses on machine learning and data analytics with an emphasis on financial time series analysis. We aim to prepare you for a future career and success in financial and tech companies. This skill set is especially pertinent to banks, consulting firms, financial technology, and investment firms. 

Career Landscape: FinTech Industry Employers

BlackRock, JP Morgan, Google, Facebook, Goldman Sachs, JP Morgan, Citadel, Amazon, Bank of America, Bracebridge Capital, Capital Group, Duff & Phelps, First Republic Bank, Four Twenty Seven, Greensparc Inc., HSBC, Incline Investment Management, LLC, Inferess, Lending Club, Menta Capital LLC, Pluribus Labs, Sensato Investors, STOXX Limited, Stripe Inc., The Voleon Group, Uber Technologies, Unison Home, Ownership Investors (formerly FirstREX), and more.

Berkeley MEng alumni working in FinTech include:  

  • Alpha Strategy Researcher, BlackRock
  • Credit Risk Data Analyst, Prosper Marketplace
  • Data Scientist, Business Analytics, Facebook
  • Data Scientist, CircleUp
  • Portfolio Analytics Analyst, BlackRock
  • Risk Analyst, Prosper Marketplace

Prerequisites

To be successful in this program, entering students are expected to have a basic understanding of statistics and optimization, as well as fluency in a programming, language. Specifically, the FinTech concentration requires an A or B grade in a college level programming course, or proven knowledge of Python by exam.

Application

Deadline: January 6, 2018
Apply through the online IEOR MEng Application; choose the “FinTech” concentration option within this application.  
http://grad.berkeley.edu/admissions/apply/

Faculty Advisor

Professor Xin Guo
Coleman Fung Chair in Financial Modeling Endowment Fund
Ph.D. Rutgers University, 1999 Mathematics
Research Areas: Theory of stochastic controls and stochastic games, high frequency trading, applied probability and statistical learning.

Course Requirements

For more information on courses visit: http://ieor.berkeley.edu/academics/courses

Fall Semester Example Curriculum: 

Required Technical Courses
IEOR 240 Optimization Analytics (3 units)
IEOR 241 Risk Modeling, Simulation, and Data Analysis (3 units) 
ENGIN 296MA Capstone Experience Tools Course (1 unit) 

Required Leadership Courses
ENGIN 270A (Organizational Behavior) in August Boot Camp (1 unit) 
ENGIN 270B (R&D Tech Management) in August Boot Camp (1 unit) 
ENGIN 270H Accounting & Finance for Engineers (1 unit) 
ENGIN 295 Communications for Engineering Leaders (1 unit) 
 

Spring Semester Example Curriculum: 


Required Technical Courses
IEOR 242 Applications in Data Analysis (3 units)
ENGIN 296MB Capstone Team Project Course with Professor Guo; or equivalent FinTech project approved by Prof. Guo (4 units)
 
Required Leadership Courses
ENGIN 270 Series, Two Electives in January Boot Camp (2 units)
ENGIN 270C Teaming & Project Management (1 unit) 
ENGIN 295 Communications for Engineering Leaders (1 unit) 
 
Choose 2 of 4 FinTech Electives (may be offered in either fall or spring)
IEOR 221 Introduction to Financial Engineering (when available) (3 units)
IEOR 222 Financial Engineering Systems I (3 units)
IEOR 223 Financial Engineering Systems II (3 units)
IEOR 224 Portfolio and Risk Analytics (3 units)
 
All students are required to pass a comprehensive exam to earn the Berkeley MEng degree. 
Exact courses offered, and when they are offered, is subject to change.  

 

Frequently Asked Questions

How is FinTech different from the Decision Analytics concentration? 
The FinTech concentration is focused on the Financial Industry.
 
How is FinTech different from the Master of Financial Engineering? 
The FinTech concentration is more quantitative and shorter in length.
 
What are the prerequisites for admission? 
In addition to all the standard graduate application requirements, the FinTech concentration requires an A or B grade in a college level programming course, or proven knowledge of Python by exam.   

What is the size of the FinTech concentration? 
We plan to enroll 10-20 students in 2017-18, and 20-30 students in 2018-19.   

What is the admissions process? 
2017-18: In the first “preview” year, any IEOR MEng student who enroll in the FinTech classes and capstone project are considered part of the FinTech concentration.  Space availability cannot be guaranteed. 
 
2018-19: Prospective students will apply by the deadline above using the online application ​to the MEng in IEOR/FinTech concentration. Admitted applicants are then ​offered either a space in the FinTech concentration, or possibly the general IEOR concentration,​ if the FinTech concentration is full or if the applicant does not meet the requirements for the FinTech concentration​.  

Contact Us

Learn more, ask a question, or visit a class.

Fung Institute for Engineering Leadership
funginstitute@coe.berkeley.edu
meng.berkeley.edu