Education

MEng in Smart Infrastructure Finance

Interested in exploring the financial revolution driving next generation of digital infrastructure systems?  This program is intended for engineering, business and policy students, as well as professional degree students, for on-line and in person delivery.  Designed to reflect the integration of big data analytics, finance and infrastructure systems, digital financing has application domains across a wide range of infrastructure systems. 

The MEng in Smart Infrastructure Finance will enable students to:

    • Explore the Innovation Opportunity of Smart Infrastructure as an Asset Class
    • Develop Performance Benchmarks Based on Infrastructure Characteristics
    • Understand How Data Facilitate Risk Management in Infrastructure Investment
    • Categorize Data Types, Their Value and Pricing in the Marketplace
    • Develop and Test Financial Models to Capture the Value from Data
    • Inform Infrastructure Designs that Target Financial and Resiliency Objectives
    • Participate in a Required Internship with our Infrastructure Finance Partners

Required Core:

All students must complete a required core of courses covering infrastructure systems and financial concepts in capital budgeting and financing instruments, as well as analytical tools with exposure to data visualization, optimization, stochastic processes, and statistics. Choose 4 (*change*) out of 6 courses:

1. CEE 501.001 – Introduction to Smart Infrastructure Systems (*new* – Fall 2021)
2. CEE 504. – Engineering Economics and Finance (Fall)
3. CEE 503 (course number to be approved) – Infrastructure Project Finance (Winter)
4. IOE 561 – Risk Analysis I (Fall)
5. TO 640 – Big Data Management (Winter)
6. Fin 428 – FinTech Innovations (Winter)

Electives/Concentration Areas:

In addition to the core courses, each student must take 3 elective courses sampled across 2 areas (including one course sequence) chosen in consultation with an advisor from the following concentration areas (example courses suggested):

1. Data-Driven Systems:

a. CEE 575 – Sensing for Civil and Environmental Engineering (Fall)
b. CEE 553 – Infrastructure Systems Optimization (Fall)
c. EECS 545 – Machine Learning (Fall/Winter; Prereq EECS 592 – Intro Art Intell)
d. CEE 572 – Dynamic Infrastructure Systems (Fall; Prereq Math 417)
e. ENG 520 – Entrepreneurial Business Fundamentals (Winter)
f. CEE 554: Data Mining in Transportation (Winter)

2. Finance:

a. CEE 588 – Environmental Finance (Fall)
b. Fin 583 – Energy Project Finance (Winter)
c. FIN 480 – Options and Futures in Financial Decision Making (typically offered in Winter)
d. FIN 624 – Private Equity (Fall)
e. PUBPOL 750-section 008/009 – FinTech Entrepreneurship (Fall/Winter term)

Seminar Participation:

Students are expected to attend a seminar course aligned with the core and electives of the program to become exposed to learnings from professionals in the construction, finance, or management industries. Suggested seminar series include the Michigan Institute for Data Science seminar series (Fall), The Mitsui Finance Seminar Series (Ross, Fall), the Erb Institute seminar series (Strategy 525; Winter) and the Construction Management and Engineering (Winter) seminar.

Internship/Project Course:

All students will be required to participate in project course with the financial services, data management, or smart infrastructure industries. The internship/project provides for professional exposure to non-traditional CEE industries.  Examples include Nuveen, MSCI, Nephila Climate, Dana Investment Advisors, Silicon Valley Bank, BlackRock, and NGOs such as WWF-Finance, Ceres, and WRI-Finance.The objectives are to apply FinTech knowledge to digital infrastructure and smart cities, including in-depth understanding of business models, data analytics trends, and financial modeling in a single or multiple industry sector.

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