Overview
With this Financial Data Analytics Option programme from Pennsylvania State University you can:
- Pursue your degree part-time at your own pace, or full-time in as little as 15-18 months.
- Engage in courses taught by world-class faculty and industry experts, learning key skills immediately applicable to the workplace.
- Experience a collaborative and innovative experience rooted in practice—providing you with the skills, experience, and perspective to become a leader.
- Become a part of the more than 750,000 Penn State alumni across the world.
Career Opportunities
According to the Bureau of Labor Statistics (BLS), overall employment of financial analysts is projected to grow 9% from 2021 to 2031, faster than the average for all occupations.
In May 2021, the median annual wage for financial risk specialists and for financial and investment analysts were $100,000 and $91,580, respectively, according to the BLS.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Financial Accounting Theory and Reporting Problems
- Quantitative Methods in Finance
- Current Issues in Corporate Finance
- Data Analysis in Finance
- Applications of Financial Data Analytics
- Data Mining
- Analysis of Financial Markets
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 15 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
- Starting
- Apply before
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International applicants are encouraged to submit materials at least four months before the beginning of the semester for which they are applying.
Language
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- University Park, United States
Disciplines
Finance Data Analytics View 400 other Masters in Data Analytics in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
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
- A copy of your official transcript from all institutions attended. Penn State alumni do not need to provide transcripts. Applicants should hold either a baccalaureate degree from a regionally accredited U.S. institution, or a tertiary (post-secondary) degree that is deemed comparable to a four-year bachelor's degree from a regionally accredited U.S. institution. This degree must be from an officially recognized degree-granting institution in the country in which it operates.
- A grade point average of 3.0 or better (on a 4.0 scale) is recommended.
- A copy of your résumé.
- A one-page written statement of intent to highlight your academic background, work experience, skills, strengths, academic interests, and professional goals.
- One academic or professional reference letter.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents48760 USD / year≈ 48760 USD / year - Out-of-State48760 USD / year≈ 48760 USD / year
-
Domestic
Applies to youIn-State28966 USD / year≈ 28966 USD / year
Additional Details
Part-time fee:
- Pennsylvania residents: $1,207
- Out-of-state residents and students holding visas: $2,032
Living costs
University Park
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Financial Data Analytics Option.
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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