FinTech Bootcamp

Classes begin quarterly

Become a FinTech Professional in 24 Weeks

Online New Jersey Financial Technology Bootcamp

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, Rutgers FinTech Bootcamp gives students the knowledge they need to move toward the financial technology industry.
  • With a project-based curriculum, individuals 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, students get equipped to become employer competitive.

Learn Financial Technology and Analysis

Students will obtain marketable skills, learning how these 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:

    Rutgers FinTech Bootcamp takes a multidisciplinary approach to finance, fundamental programming, data analysis, and modern tools in cryptocurrency and blockchain. Students who complete the program 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

    Frequently Asked Questions

    Our fintech bootcamp is being held via our tried and tested virtual classroom experience. Call us at (732) 430-2144 for more information on how to apply, or visit our Online Experience page to learn more.

    No, applicants to Rutgers FinTech Bootcamp do not need to be Rutgers students. This program is offered through Rutgers Division of Continuing Studies.

    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.

    Part-Time Schedule

    • 24-week program
    • Classes held Mondays, Wednesdays, and Thursdays from 6:30 to 9:30 p.m.

    Currently Enrolling: 

    Coding Bootcamp

    »Part-Time 12/11/23

    »Full-Time 3/11/24

    Data Science Bootcamp

    »Part-Time 12/11/23

    FinTech Bootcamp

    »Part-Time 3/25/24

    Cybersecurity Bootcamp

    »Part-Time 2/26/24

    Ready to learn more about Rutgers FinTech Bootcamp? Contact an admissions advisor at (732) 430-2144 or fill out the form below.

    Get Program Info


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