Pace University Multiple locations
New York City , New York , United States Pleasantville , New York , United States
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Overview
Key Features
- Master big data and analytics and become a data-driven decision maker.
- Understand theories and models in visualization, database management, audit analytics, and fraud detection.
- Connect with our network of 76,000 alumni, of which 2,100 work at Big Four accounting firms.
Developed in consultation with leading accounting firms, Lubin's MS in Accounting Data Analytics is highly responsive to current market demand for accountants who are trained in accounting analytics, audit analytics, and data-driven decision-making. The Accounting Data Analytics and Technologies program from Pace University satisfies the New York State 150-credit requirement for CPA licensing.
You’ll work with analysis software such as Excel, IBM SPSS, SAS, R, and Python. We also provide subscriptions to proprietary databases and dashboarding tools such as MRI Plus, Simmons OneView, Compustat, Lexis Nexis, Social Explorer, Social Studio, and Qualtrics, the leading online survey platform.
Career Options
- Association of Certified Chartered Accountant (ACCA) Members
- Certified Forensic Accountant
- Certified Information Technology Professional
- Certified Internal Auditor
- Certified Management Accountant
- Certified Public Accountant
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Business Analytics and Statistics
- Database Management Systems
- Data Mining and Visualization
- Information Security and Controls
- Contemporary Accounting Issues
- Advanced Auditing and Analytics
- Strategic Cost Management and Technologies
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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Language
English
IELTS 6.5
PTE Academic 52
TOEFL® IBT 80
Credits
30 alternative credits
- One Year: 30-44 credits
- Two Years: 57-63 credits
Delivered
On Campus
Disciplines
Accounting Business Intelligence & Analytics Data Science & Big Data View 447 other Masters in Business Intelligence & Analytics in United StatesExplore more key information
Visit official programme websiteAcademic requirements
GRE® Required
GMAT Required
English requirements
IELTS 6.5
PTE Academic 52
TOEFL® IBT 80
Other requirements
General requirements
- Application Fee ($70, non-refundable)
- All Official Transcripts: Transcripts from every accredited college or university attended (not just the degree granting institution) must be sent either to Pace University, directly from the academic institution electronically or by mail, or forwarded by the applicant in sealed envelopes from the academic institution.
- Two Letters of Reccomendation: Letters should be from academic or professional references that can knowledgeably comment on your ability to successfully complete graduate study.
- Resume: A resume or outline describing at least the past five years of your employment history and any significant community, professional, or college extracurricular activities.
- Personal Statement
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To alway see correct tuition fees
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International
41250 USD/yearTuition FeeBased on the tuition of 1375 USD per credit during 12 months. -
National
41250 USD/yearTuition FeeBased on the tuition of 1375 USD per credit during 12 months.
Living costs for New York City
1819 - 3968 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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