Overview
The M.Sc. in Statistics and Data Science at the University of Pennsylvania is meticulously crafted to develop a robust understanding of statistical methodologies and data analysis techniques. As businesses generate an unprecedented amount of data, the ability to interpret and leverage this information is crucial for effective decision-making. This programme addresses the pressing need for professionals who can transform data into actionable insights.
Why Statistics and Data Science at the University of Pennsylvania?The University of Pennsylvania is renowned for its academic excellence and innovative research. The Wharton School, which houses this programme, consistently ranks among the top business schools globally. Students benefit from exceptional faculty, state-of-the-art facilities, and a collaborative learning environment. The programme also fosters partnerships with industry leaders, providing students with valuable networking opportunities and insights into real-world applications of their studies.
Tuition Fee BreakdownThe tuition fees for the Statistics and Data Science programme are as follows:
- International Fee: USD 84,830 per year
- National Fee: USD 84,830 per year
- Local Fee: USD 84,830 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusTo graduate, students must complete a minimum of 19 course units, including core MBA requirements and electives. The curriculum is structured as follows:
- Major Requirements: 4 course units from options such as:
- Modern Data Mining
- Statistical Computing with R
- Data Collection and Acquisition: Strategies and Platforms
- Forecasting Methods for Management
- Predictive Analytics for Business
- Text Analytics
- Sports and Gaming Analytics
- Data Analytics and Statistical Computing
- Applied Probability Models in Marketing
- Introduction to Python for Data Science
- Independent Study
- Sample Survey Methods
- Electives: 5.5 course units
- MBA Core Requirements: 9.5 course units
This comprehensive syllabus ensures that students gain both theoretical knowledge and practical skills, preparing them for various roles in the data science field.
Careers with Statistics and Data ScienceGraduates of the M.Sc. in Statistics and Data Science programme are well-equipped to pursue careers in diverse sectors, including finance, healthcare, and technology. Alumni have found success in prestigious firms and organisations, utilising their expertise in data analysis, predictive modelling, and statistical consulting. The programme prepares students for roles such as data scientist, statistician, and business analyst, among others, ensuring they are competitive in the job market.
Programme Structure
Courses include:
- Programming Languages and Techniques
- Software Development
- Probability and Statistics
- Probability
- Advanced Probability
- Mathematical Statistics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
For all applications submitted by December 15th, please expect a response by mid January.
Language
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
Credits
Delivered
Campus Location
- Philadelphia, United States
Disciplines
Statistics Data Science & Big Data View 462 other Masters in Data Science & Big Data 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
- Biographical information (part of the online application)
- Resume
- Personal Statement
- Two [2] official Letters of Recommendation
- Unofficial Transcript – submitted with application
- $80 non-refundable application fee
- GRE scores
- English language proficiency tests
Tuition Fees
-
International Applies to you
Applies to youNon-residents87970 USD / year≈ 87970 USD / year - Out-of-State87970 USD / year≈ 87970 USD / year
-
Domestic
Applies to youIn-State87970 USD / year≈ 87970 USD / year
Living costs
Philadelphia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
In 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 Statistics and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility