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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 a flexible part-time format with a blend of live, instructor-led classes and engaging content to complete on your own schedule, 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.
Structured Flexibility
Our boot camp is designed to give you the flexibility you need to balance your schedule while providing you with the structure and support you need to be successful in achieving your career goals.
Innovative Instruction
Our online fintech course combines the best of online education: engaging content to work through on your own schedule and live, instructor-led online classes.
Real-World Projects
Our market-driven curriculum teaches you in-demand skills through real-world experience. Everything you learn is immediately applicable to a professional environment.
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 SageMake
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.
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Innovative Online Model
Flexible Weekly Content
Each week you will work through the project-based curriculum on your own schedule. Fit the content around your life and work commitments knowing our support system is there if you need it.
Interactive Live Classes
Attend class from wherever you are. These online sessions are NOT lectures: they’re designed to be highly engaging and interactive sessions. Work with other members of your tightly-knit cohort and broaden your experience while leaning on your instructor and teaching assistants.
Weekly Assignments
Make sure that you’re retaining your new fintech skills by utilizing additional opportunities to apply your knowledge in real-world settings. Make sure that you’re on-pace and progressing through the course as you should be.
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
How to Apply to the FinTech Boot Camp
- Submit Form. Fill out the contact form and select the program you’re interested in to request more information.
- Interview and Application. A member of the admissions team will connect with you to discuss program details and answer any questions you may have. Then, you will fill out a short application.
- Assessment. Complete a basic multiple-choice critical thinking and problem-solving assessment. No prior industry knowledge is required.
- Enrollment. Once you are accepted into the boot camp, you will determine which financing option is right for you. Secure your seat by signing your enrollment agreement and paying your deposit.
FinTech Boot Camp Schedule
Part-Time Schedule
- 24-week online format
- Study part-time while maintaining your existing professional, educational, or personal obligations
- Learn through a blend of scheduled instructor-led online classes two days per week and engaging content and projects to work through on your own schedule
Currently Enrolling:
Coding Boot Camp:
- Part-Time: May 24, 2021
- Full-Time: July 6, 2021
Data Analytics Boot Camp:
- Part-Time: June 3, 2021
UX/UI Boot Camp:
- Part-Time: May 24, 2021
Cybersecurity Boot Camp:
- Part-Time: May 10, 2021
FinTech Boot Camp:
- Part-Time: June 16, 2021
Digital Marketing Boot Camp:
- Part-Time: June 14, 2021
Tech Project Mgmt Boot Camp:
- Part-Time: July 13, 2021
Product Management Boot Camp:
- Part-Time: July 22, 2021
Frequently Asked Questions
Our fintech boot camp is held online. Call us at (646) 870-1598 for more information on how to apply, or visit our Online Experience page to learn more.
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.
No, applicants do not need to be Columbia students. The FinTech Boot Camp is offered through Columbia Engineering.
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.
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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