Columbia Engineering FinTech Boot Camp

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Classes begin quarterly

Submit your application today. All in-person classes are being offered through our proven virtual classroom experience. Learn more.

Become a FinTech Professional in 24 Weeks

Online New York Financial Technology Boot Camp

The field of finance is evolving. Financial services firms, insurance agencies, and investment banks are all increasingly at the intersection of data and technology, harnessing algorithms, machine learning, big data, and blockchain to conduct business.

  • Through hands-on virtual classes in a convenient part-time format, Columbia Engineering FinTech Boot Camp gives you the knowledge you need to move toward the Financial Technology industry.
  • With a project-based curriculum, you’ll gain ample experience with a host of popular tools and methods such as Python programming, financial libraries, machine learning algorithms, Ethereum, and blockchain.
  • By tapping into a wide set of career services like resume and portfolio reviews, interview training, and 1:1 coaching, you’ll get equipped to become employer competitive.

Learn Financial Technology and Analysis

You will obtain marketable skills, learning how fundamental concepts are leveraged within financial fields from financial planning to hedge funds, as well as best practices for using these skills to add value to an organization. The competitive curriculum covers*:

Financial Fundamentals

  • Time-Series Analysis
  • Financial Ratios
  • Financial Analysis
  • Financial Modeling

Blockchain and Cryptocurrency

  • Solidity
  • Ethereum
  • Smart Contracts
  • Consensus Algorithms
  • Transactions
  • Validation
  • Distributed Ledger
  • Cryptocurrency
  • Truffle Suite
  • Ganache

Machine Learning Applications in Finance

  • Algorithmic Trading
  • Random Forests
  • k-Nearest Neighbors (kNN)
  • Support Vector Machines (SVM)
  • Linear Regression
  • Scikit-learn
  • Forecasting
  • Logistic Regression
  • Deep Learning
  • Recurrent Neural Networks
  • TensorFlow
  • Keras
  • AWS SageMaker

Programming and Financial Libraries

  • Python
  • Pandas
  • PyViz
  • APIs 
  • Amazon Web Services
  • SQL
  • Numpy
  • SciPy
*The material covered is subject to change. Our academic team adjusts to the market demand.

Gain real-world skills:

Columbia Engineering FinTech Boot Camp takes a multidisciplinary approach to finance, fundamental programming, data analysis, and modern tools in cryptocurrency and blockchain. Those who complete the boot camp can expect to be able to:

  • Model future financial performance of a company using Python and financial fundamentals
  • Build an Ethereum blockchain and understand how transactions are validated on a distributed ledger
  • Understand both the uses and disadvantages of a variety of machine learning algorithms and their proper application within the field of finance
  • Leverage machine learning to determine lending preferences and how effectively a cluster of customers would produce interest
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Frequently Asked Questions

Where are the FinTech Boot Camp classes held?

Our fintech boot camp in New York is being held via our tried and tested virtual classroom experience. Call us at  (646) 870-1598 for more information on how to apply, or visit our Online Experience page to learn more.

Do I need to have previous experience in finance or programming before applying to Columbia Engineering FinTech Boot Camp?

No programming or finance experience is required. However, it is recommended that applicants hold a Bachelor’s Degree or have at least two years of experience in business, management, finance, statistics, or a related field.

Do I need to be a Columbia student to apply to the FinTech Boot Camp?

No, applicants do not need to be Columbia students. The FinTech Boot Camp is offered through Columbia Engineering.

Do you offer financing options to cover the FinTech Boot Camp tuition costs?

Below are some funding options for you to choose from. Please note that funding should be approved before you begin the process:

  • Full Tuition, Interest-Free Payment Plan: A deposit is required to secure your seat in the class. The rest of the tuition will be split into six equal monthly payments.
  • 24-Month Interest-Free Payment Plan: Once approved, you’ll pay your deposit and split the remaining tuition over 24 monthly installments with zero interest.

Please contact us to get details on tuition cost and any available loan options.

Part-Time Schedule

  • 24-week boot camp
  • Classes held two weekdays from 7 to 10 p.m. and Saturdays from 10 a.m. to 2 p.m.

Currently Enrolling:

Coding Boot Camp:

  • Part-Time: January 26, 2021
  • Full-Time: January 4, 2021

Data Analytics Boot Camp:

  • Part-Time: November 2, 2020
  • Part-Time: November 18, 2020

UX/UI Boot Camp:

  • Part-Time: November 30, 2020

Cybersecurity Boot Camp:

  • Part-Time: February 9, 2021

FinTech Boot Camp:

  • Part-Time: December 8, 2020

Digital Marketing Boot Camp:

  • Part-Time: December 7, 2020

Tech Project Mgmt Boot Camp:

  • Part-Time: Soon

FinTech Curriculum

The curriculum at Columbia Engineering FinTech Boot Camp is designed to give you both the knowledge you need to move toward the Financial Technology industry and ample experience applying that knowledge to real-world problems.

Throughout the boot camp, you will learn financial theory, tools, and technologies vetted by current practitioners and critical to ongoing competitiveness in the field of finance.

FinTech Part-Time

Learning Module: Intro to Fintech


Description:
You’ll begin with a quick, crash course in finance fundamentals. We want to make sure you have a baseline understanding of things like financial modeling and financial statement analysis.

What You Will Learn:
  • Fintech Landscape
  • Time-Series Analysis
  • Financial Ratios

Learning Module: Financial Programming


Description:
When it comes to analyzing large financial data sets, Python is far more powerful than Excel. By the end of this section, you’ll know how to use Python and APIs to run robust financial analyses and build applications that rely on real-time data.

What You Will Learn:
  • Python
  • Financial Modeling
  • Pandas
  • Matplotlib
  • Statistical Programming
  • APIs
  • SQL
  • NumPy
  • SciPy
  • PyViz

Learning Module: Machine Learning Applications in Finance


Description:
It’s one thing to analyze the past, but it’s another to predict future outcomes. You’ll learn how to use machine learning techniques to determine credit worthiness, buy and sell stocks, and more.

What You Will Learn:
  • Algorithmic Trading
  • Random Forests
  • k-Nearest Neighbors
  • Support Vector Machines
  • Scikit-learn
  • Linear Regression
  • Logistic Regression
  • k-Means Clustering
  • Neural Networks
  • Forecasting
  • Amazon Web Services

Learning Module: Blockchain and Cryptocurrency


Description:
As the popularity of blockchain has grown, so has the demand for professionals with related skills. You’ll develop a technical understanding of how blockchains work and get hands-on experience with Solidity, the most popular blockchain language, and smart-contracts.

What You Will Learn:
  • Solidity
  • Smart Contracts
  • Consensus Algorithms
  • Transactions
  • Validation
  • Distributed Ledger
  • Ethereum
  • Cryptocurrency
  • Mining
  • Truffle Suite
  • Ganache

Get Boot Camp Info

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