Overview
At Stevens Institute of Technology, financial analysts combine their programming skills with talents in data analysis and statistics to design innovative solutions to finance problems. Financial Analysts also use excellent business and communication skills to assess client needs and make recommendations to executive teams.
Overview
The Master's in Financial Technology and Analytics program is designed for STEM students who are looking to pursue careers in the financial industry. The program covers a range of topics in financial technology and data science, including financial technology, blockchain technologies and decentralized finance, digital payment technologies and trends, applied statistics with applications in finance, introduction to financial risk management, and time series with applications to finance or advanced financial econometrics.
Graduates of our program will be well-equipped to lead financial technology and data science teams in both start-ups and established financial firms. They will be able to build advanced analytical models, make enterprise data analytics decisions, and orchestrate advanced financial systems technology resources in a cloud-based data-driven distributed environment. They will also have the skills to construct innovative financial products and apply their expertise to a range of general financial services analytics.
Our faculty are experts in the field and are constantly exploring new concepts in machine learning, data modeling, and optimization in finance. Students will have the opportunity to learn from these professionals and work with the data analysis and visualization tools used on Wall Street in our state-of-the-art financial labs.
Programme Structure
Courses include:
- Financial Data Science
- Practical Aspects of Database Design
- Statistical Learning in Finance
- Project in Financial Analytics
- Calculus
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Graduate programs admit students on a "rolling" basis, meaning that students may still apply after the preferred deadlines.
Language
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Credits
Delivered
Campus Location
- Hoboken, United States
Disciplines
Financial Technology Data Analytics View 403 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Transcripts from all post-secondary institutions attended
Two letters of recommendation (academic or professional only)
Resume/CV (School of Business applicants only)
Personal Statement (required for all full-time applicants)
$60 non-refundable Application Fee
Proof of English language proficiency
GRE/GMAT test score(s)
Tuition Fees
-
International Applies to you
Applies to youNon-residents45986 USD / year≈ 45986 USD / year - Out-of-State45986 USD / year≈ 45986 USD / year
-
Domestic
Applies to youIn-State45986 USD / year≈ 45986 USD / year
Additional Details
Online: $1,930 per credit hour
Living costs
Hoboken
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Financial Technology and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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