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Rutgers School of Business – Camden

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Graduate Program Certificate:
Modern Financial Technologies (FinTech)

The financial world as you knew it has changed.

As the financial sector attempts to leverage technology in its expansive operations, the area of Modern Financial Technologies (FinTech) is growing to meet that need. These universal methods add security to transactions and allow both businesses and consumers to better manage their financial operations. As automation grows, it is imperative to stay current with the FinTech industry. With this Certificate, you will obtain a background in:

  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • Blockchain

An MBA with a FinTech background is an in-demand asset for nearly every employer in the financial sector.

Careers in FinTech

$73,000 +

Financial Analyst Average Salary 
Source: Indeed (2025)

Required Courses

To earn the Fintech Certificate, students are required to complete Financial Management (53:390:506), along with three of the following four elective courses:

The course provides a comprehensive overview of new financial technologies. Such technologies combine traditional investment practice with the ever increasing power of computation to facilitate the achievement of highly customized objectives. The course covers the rise of big data analytics (Artificial Intelligence and Machine Learning) as well as the rise of automated investment advisers and algorithmic trading. We also discuss the role of the Blockchain in cryptocurrencies, such as Bitcoin and Etherium, and their implications for Investment management practice and financial services.

This course provides a broad and practical introduction to the modern methods of Financial Data analysis. The course emphasizes the use of modern analytical techniques to extract insights from the most commonly used financial data. Using a hands‐on approach, students will develop deep practical intuition into the nature of financial returns, bond valuation, and stock pricing. Using a programming language such as “R” students will build financial models using a mix of market and accounting information, build optimally weighted portfolios, learn the basics of risk management, and learn simulation techniques such as Bootstrap and Resampling.

Prerequisite: 53:390:506 Financial Management

This course provides a broad and practical introduction to the modern methods of Investment Management. The course emphasizes the use of big data and modern analytical techniques of Machine Learning and Artificial Intelligence to improve the performance of investment management. We start with the introduction to Python and financial data. We then apply Python and machine learning algorithms to the fundamental topics on investment management, such as bond valuation, stock pricing, derivative pricing, portfolio construction and optimization, international asset allocation, Monte Carlo simulation, and performance measurement.

Prerequisite: 53:390:506 Financial Management

This course aims to explore the application of textual content for understanding financial phenomena. The course offers a comprehensive and hands-on introduction to unstructured data mining in finance. Students will start with an introduction to R/Python. Next, students will learn how to extract financial information from various online sources, such as stock prices in Yahoo Finance, financial filings, earnings conference calls, media news, Tweets, corporate websites, and more, using existing APIs and web scraping tools. Then, using Generative Pre-training Transformer (GPT) as a copilot, students will learn state-of-the-art Natural Language Processing (NLP) and Large Language Model (LLM) methods, including bag-of-words, sentiment analysis, word embedding, topic modeling, and sentence embedding (BERT), and OpenAI’s text embeddings and fine-tuning. The course will delve into multiple cutting-edge topics, such as how manager tone, media news, and analyst reports affect the financial market (e.g., stock prices and portfolio construction) and corporate finance (e.g., ESG and corporate culture). Students will gain the in-depth skills to prepare, process and interpret textual data and apply the programming techniques to solve real-world problems.

Prerequisite: 53:390:505 Financial Foundations OR 53:390:506 Financial Management

 

NOTE: To earn a certificate, the student must complete all required courses in the associated program in which they were admitted. A student cannot earn two or more grades of C (including C+) or a single grade of F on her or his record. An overall cumulative grade-point average of 2.75 is required for certificate completion.

Upcoming Info Sessions

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More Information

For more information or guidance through the application process, contact our Graduate team at rsbc.grad@camden.rutgers.edu. 

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BLDP Executive Shadowing Application v2

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Signatures

If I am chosen and matched with an executive, I will follow through and prepare a one-page report giving honest feedback about the experience. The written summary is due by the start of the next semester. By typing my name in the box to the right I am offering my digital signature in lieu of my handwritten signature.

After the shadowing event, I will write a personal thank you letter to the executive and copy Dr. Kaufman-Scarborough and Ms. Bridget Britton for their records. By typing my name in the box to the right I am offering my digital signature in lieu of my handwritten signature.

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After notified of a match, students are responsible for providing personal information to the matched executive (e.g., current resume and cover letter with information on career ambitions). The information on this application is for internal use only, for us to match you as well as possible with and executive from among our alumni database.

BLDP Application

The Spring 2023 Application is now open! 

Priority will be given to applications received by November 18. Applications are accepted until all seats are filled. Space is limited, so apply early!

The seminar application process is our gateway for entry into the program. Upon acceptance into BLDP, students will be emailed their acceptance letter plus a special permission number allowing registration for the BLDP seminar.

Requirements

Seminar applications are solicited each semester and require the following:

  1. Completed application form (at the bottom of this page),
  2. For students with GPA 3.0 – 3.49, two (2) letters of recommendation (one academic; one other)

Rutgers-Camden students are invited to apply to apply for enrollment in the BLDP seminar. All applicants are expected to meet both of the following selection criteria:  (1) have sophomore standing or above and (2) have an overall GPA of 3.0 or above. First-semester transfer students will be evaluated based on their GPA earned at Rutgers. Students who fail to meet these admission criteria may still be allowed to apply for (and possibly enroll in) the BLDP seminar, but they will be evaluated on a case-by-case basis.

The director balances evaluations to make final decisions on people accepted for the seminar (up to a maximum of 15-20 each semester).

Students who are admitted to the BDLP are required to adopt the BLDP Code of Conduct. A signed contract is required from each student.

Students may count activities toward “leadership units” that were initiated prior to taking a seminar, as long as those activities occured primarily during their enrollment in their academic program.

Application for Admission to BLDP Seminar

Applications for the BLDP Seminar will be ongoing until class is filled.

BLDP Program Application

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