---
title: "Financial Analytics M.S."
url: "/academics/programs/financial-analytics-ms"
type: program
date: 2026-05-11
updated: 2026-05-15
---
# Financial Analytics M.S.
# Financial Analytics M.S.
**Gain a competitive edge in the rapidly evolving world of finance, where analytics, machine learning, and big data are reshaping how markets move.**
This STEM-designated M.S. in Financial Analytics equips students to make data-driven decisions at the intersection of finance, technology, and analytics, preparing graduates for high-impact careers across Wall Street, fintech, and beyond.
[ Request Information ](/graduate/admissions/request-information)
[ Visit ](/admissions/visit) [ Apply ](/admissions/apply)
Credit Hours30
Time to Complete1-2 Years
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This program is part of [Accounting, CIS & Law](/academics/business/departments/accounting-cis-law)
What Set's Us Apart The Manhattan University Difference
## What Sets Us Apart
The M.S. in Financial Analytics at Manhattan University prepares the next generation of quantitative analysts, investment professionals, and fintech innovators. The **STEM-designated** hybrid program combines rigorous financial theory with advanced computational methods, taught by faculty with experience in investment banking, risk management, and fintech innovation. The program is offered by an **AACSB-accredited** business school, a distinction earned by fewer than 6 percent of business schools worldwide.
STEM-Designated Program
Recognized as a STEM program, qualifying international graduates for the 24-month OPT STEM extension and signaling the program's quantitative rigor.
One-Year Online Format
Complete the 30-credit degree in one year of full-time study (fall, spring, and summer) or at a flexible part-time pace built around your career.
Machine Learning and AI for Finance
Coursework in Machine Learning in Investment and Applications, Advanced Machine Learning and AI, and Financial Econometrics prepares students for algorithmic and AI-driven finance roles.
Industry-Standard Tools
Hands-on experience with Bloomberg terminals, Python, R, SQL, Tableau, and proprietary financial databases used by leading banks, hedge funds, and regulators.
AACSB-Accredited School
The O'Malley School of Business holds AACSB accreditation, an achievement earned by fewer than 6 percent of business schools worldwide.
Capstone Project
Synthesize technical, analytical, and strategic skills in a capstone that addresses a complex financial problem faced by real institutions.
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Signature Learning Experiences
## Why Study Financial Analytics at Manhattan University?
At Manhattan University, M.S. in Financial Analytics students gain the quantitative depth, technical fluency, and individualized mentorship needed to lead in an algorithmic financial economy. Our STEM-designated program integrates the analytical rigor of finance with the computational depth of data science, taught by faculty with real-world experience in investment banking, risk management, and fintech.
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## Why Study in New York City
New York City is the global capital of finance, offering unmatched access to the investment banks, hedge funds, asset managers, fintech firms, and regulatory bodies that move global markets. From Wall Street trading floors and the New York Stock Exchange to Bloomberg, the Federal Reserve Bank of New York, and the data and analytics teams behind every major financial institution, students are surrounded by organizations that demand strong quantitative and computational skills. At Manhattan University, students apply financial theory and data science methods through simulations, applied research, and partnerships with NYC employers, building portfolios that demonstrate their ability to analyze markets, manage risk, and inform investment decisions. This real-world experience strengthens technical confidence and helps graduates build the network and skill set needed to lead in the world's most competitive financial market.
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## Financial Analytics: Lead With Quantitative Insight.
At Manhattan University, M.S. in Financial Analytics students gain the in-demand quantitative skills, computational depth, and individualized mentorship needed to lead in an algorithmic financial economy. Our STEM-designated, AACSB-affiliated program blends rigorous financial theory with advanced data science methods, preparing graduates to model markets, manage risk, and inform investment decisions with confidence and impact.
Quantitative Finance
Build fluency in asset pricing, volatility modeling, and portfolio analytics, the quantitative methods that drive decisions on Wall Street and across global markets.
Financial Econometrics
Apply econometric theory and predictive modeling to real market data, identifying patterns that inform forecasting, valuation, and risk assessment.
Machine Learning for Markets
Use machine learning and AI methods in investment, algorithmic trading, and risk applications, the techniques redefining how financial institutions operate.
Risk and Compliance
Develop the risk modeling, privacy, and data protection skills financial institutions and regulators require in a rapidly evolving compliance environment.
Programming and Tools Fluency
Command Python, R, SQL, Tableau, and Bloomberg terminals, the toolkit used by quantitative analysts, hedge funds, and asset managers worldwide.
Capstone-Ready Portfolio
Complete the Capstone Project synthesizing technical, analytical, and strategic skills on a complex financial problem faced by real institutions.
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A Flexible Format Built for Working Professionals
## The Low-Residency Experience
Manhattan University's Low-Residency format pairs online flexibility with the structure, network, and boutique feel of a campus-based graduate experience. Designed for mid-career professionals, executives, and industry leaders who cannot pause their careers, the format blends accelerated online coursework with in-person residency weekends in New York City that bring cohorts together for hands-on learning, faculty access, and industry keynotes.
[ Learn More About Low-Residency Experience ](/graduate/academics/low-residency)
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Accelerated Online Sessions
7-week course sessions blend synchronous and asynchronous learning, designed to keep professionals moving through the program without stepping away from work.
NYC Residency Weekends
Three on-campus weekends per year bring the cohort together for hands-on learning, faculty office hours, networking receptions, and direct exposure to NYC industry partners.
Boutique Cohort Model
A conference-style format with small cohorts supports meaningful peer connection, faculty mentorship, and a professional network that lasts long after graduation.
Industry Keynotes
Residency weekends include keynote talks from industry leaders across analytics, finance, technology, and adjacent fields, connecting coursework to current professional practice.
Built for Working Professionals
The format is engineered for mid-career professionals, executives, entrepreneurs, and industry leaders who need to advance their education without pausing their careers.
Direct NYC Connections
Low-Residency weekends bring students into direct contact with the business, healthcare, and technology communities that define the New York City marketplace.
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About
## The O’Malley School of Business
The O'Malley School of Business is an **AACSB-accredited institution**, a distinction held by fewer than 6 percent of business schools worldwide and a signal of rigorous academics, industry-connected faculty, and strong career outcomes. Our graduate programs are built for the next stage of your career, blending advanced coursework with applied projects, executive-style cohorts, and direct connections to NYC employers across finance, technology, marketing, healthcare, and consulting. Through flexible online and Low-Residency formats designed for working professionals, and a focus on ethical, evidence-based leadership, O'Malley graduate students gain the analytical depth, strategic insight, and professional network needed to lead with insight, integrity, and impact in today's competitive business landscape.
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Program Costs & Financial Aid ## Program Costs & Financial Aid
Manhattan University is committed to making a high-quality, career-focused graduate education accessible and affordable. Students pursuing a graduate degree may be eligible for graduate financial aid, including federal loans and Manhattan University graduate scholarships, as well as additional options for working professionals and international students.
More than 90% of Manhattan University students receive some form of financial assistance, including merit scholarships, grants, and need-based aid, significantly reducing the overall cost of attendance.
- **Tuition & Fees:** View current graduate program rates
- **Financial Aid:** Federal and institutional aid available for eligible students
- **Scholarships:** Graduate scholarship opportunities may apply
A Manhattan University education is an investment in your future, and we are dedicated to helping you access the resources that make it possible.
[Learn More About Costs and Financial Aid](/graduate/admissions/financial-aid/)
[View Graduate Scholarships](/graduate/admissions/financial-aid/scholarships)
Admission Information ## Admissions Information
**Continue Your Career with a Financial Analytics M.S. from Manhattan University**
Applying to Manhattan University is designed to be clear and accessible. Review the requirements and key deadlines below to take the next step toward a future in data-driven business.
**Applicants must have a bachelor's degree from an accredited college or institution.**
**Undergraduate Transcript:** Applicants should generally have a cumulative GPA of at least 3.0 (on a 4.0 scale).
1. **Statement of Interest:** Clearly describe your individual goals and objectives for pursuing your M.S. degree at Manhattan University.
2. **Resume:** The resume should include examples of academic, co-curricular, and extracurricular achievements that can be used to assess personal qualities and the ability to complete the program.
3. **Recommendations:** Applicants must submit at least one letter of recommendation attesting to the applicant's intellectual ability, leadership potential, and ability to complete the program.
4. **No GMAT/GRE Required:** The O'Malley School of Business does not require standardized test scores for admission. Applicants with a GPA below 3.0 may strengthen their applications by submitting GMAT/GRE scores.
[Apply Now To Manhattan University ](/graduate/admissions/apply)
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## Prepare for the Real World
At Manhattan University, your education is built around who you are and where you want to go. Whether you’re ready to apply or just starting to explore, take the next step when you’re ready — we’re here to help.
[Apply Today](/admissions/apply)
[Visit Manhattan University](/admissions/visit)
[Request Information](/admissions/undergraduate/request-information)
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