The FinTech and Financial Data Analytics, M.S. program equips students with the fluency in advanced analytics and finance required to design, build, and manage technology-driven financial solutions. By blending financial theory with hands-on work in AI, blockchain, and data science, the program will prepare graduates who can design, manage, and innovate in the digital finance industry.
Through a project-based, interdisciplinary curriculum, students will build a portfolio of projects that demonstrate technical and strategic expertise at the forefront of digital financial innovation. Graduates will be prepared for high-demand roles such as financial data scientist, blockchain developer, AI/ML engineer, quantitative analyst, compliance specialist, and FinTech product manager—positions singled out in the program's market analysis for their strong growth and earning potential.
International F-1 students who successfully complete this degree are eligible for an additional 24-month STEM OPT extension to work in the U.S. in an area directly related to their area of study immediately upon completing the customary 12-month post-completion Optional Practical Training (OPT).
Programmatic Learning Goals
Upon graduation from the Master of Science program, students will be able to demonstrate attainment of general and program-specific learning goals. These goals are designed to reflect the competencies expected of professionals in the workplace. Student success is a shared and collaborative responsibility that engages students, faculty, staff and other stakeholder groups, working together to maximize students' opportunities to be successful.
- Apply advanced analytical methods, quantitative models and frameworks, programming languages, and blockchain technologies effectively to resolve complex financial challenges, implement data-driven investment and trading strategies, and conduct sophisticated financial risk analysis.
- Exhibit proficiency in employing relevant programming languages (e.g., Python, R, Solidity), analytical tools, machine learning frameworks, and cloud-based infrastructures to build, test, and deploy robust, secure, and scalable technology solutions.
- Integrate analytical insights, comprehensive regulatory frameworks, and strategic business considerations to make informed, ethical, and sustainable decisions in complex and dynamic financial environments. They will demonstrate strong ethical judgment, regulatory compliance, and strategic foresight in decision-making processes.
Back to Top Admission Requirements
- B.S. degree or its equivalent from an accredited college or university
- If you already hold a graduate degree from a regionally accredited university, you may be admitted into the M.S. program upon receipt of the admissions documents.
- Minimum undergraduate GPA of 3.0.
- If your undergraduate GPA is lower than 3.0 and you do not have relevant professional experience, you will be required to take the GMAT or GRE and achieve satisfactory scores as determined by the program director. You will also be interviewed by program faculty in order to be considered for admission.
- Two prerequisite courses for this program (QANT 501 and FINC 501) will be waived if the student has an undergraduate degree in business, or if the student has at least three years of relevant work experience in the finance industry along with an undergraduate degree in a related field such as economics, engineering, or technology, etc.
- The GMAT is not a requirement for admission, but may be submitted toward fulfillment of the M.S. admissions criteria if a student's undergraduate GPA is below the requirement listed above. Students will be considered for admission if they receive a satisfactory composite GMAT score, which will be determined by the graduate faculty and will consist of a numerical calculation of the undergraduate GPA and GMAT score.
- International applicants are required to submit the International English Language Testing System (IELTS), Test of English as a Foreign Language (TOEFL) as administered by the Educational Testing Service, Pearson PTE Academic Exam, Duolingo English Test, IB English exam, or an examination deemed to be equivalent by the Office of Admissions.
Application Materials
- Completed application
- $50 nonrefundable application fee
- Copy of college diploma or proof of degree
- Copies of undergraduate transcripts for all schools attended. All final, official transcripts must be received prior to the start of your first semester.
- Two letters of recommendation or three professional references
- A personal statement (300–350 words) highlighting professional goals and interest in FinTech
- Resume showcasing relevant professional working experience or coursework
- Official GMAT scores, if required. New York Institute of Technology GMAT Codes:
Full-time (nine or more credits): OQN-RL-35
Part-time (less than nine credits): OQN-RL-74
- International student requirements: English proficiency, I-20, and transcript evaluation