FOX SCHOOL OF BUSINESS AND MANAGEMENT
About the Program
The Master of Science (MS) in Statistics and Data Science is intricately designed to empower aspiring statisticians and data scientists. It is meticulously crafted to provide an in-depth exploration of statistical methodologies and their practical applications in effectively addressing current data-driven practices and challenges. Students admitted to the program will embark on a personalized graduate journey that is finely tailored to meet their specific needs and aspirations, ensuring a nuanced and individualized approach to their academic and professional development.
The core objective of the program is to cultivate versatile statisticians with a profound understanding of the fundamental principles that underlie statistical methods and their practical implications in real-world scenarios. Upon successful completion of the program, graduates will possess the skills and knowledge required to pursue fulfilling careers as statisticians and data scientists, with diverse opportunities available across sectors such as business, government, and industry. Additionally, the program serves as a solid foundation for individuals aspiring to pursue advanced degrees, providing a robust platform for those seeking to delve deeper into the intricacies of statistics and data science.
Time Limit for Degree Completion: 6 years
Campus Location: Main
Full-Time/Part-Time Status: The degree program can be pursued on either a full-time or part-time basis.
Affiliation(s): Research interests of Fox faculty are supported by numerous centers and institutes throughout the Fox School and Temple University.
Job Prospects: The Fox Center for Student Professional Development (CSPD) provides students with career coaching and professional development resources that support the job search.
Non-Matriculated Student Policy: Qualified non-matriculated students are allowed to enroll in the courses of the program.
Financing Opportunities: Citizens and permanent residents of the United States are considered domestic students and are typically eligible for federal student loans and alternative loans through private lenders. The Fox School grants 5% tuition scholarships to alumni who are admitted to the program.
Admission Requirements and Deadlines
Application Deadline:
Fall:
- December 15 – Early Admissions Deadline
- March 1 – Scholarship Deadline and International Deadline
- June 30 – Final Deadline
Spring:
- August 1 – Scholarship Deadline and International Deadline
- November 1 – Final Deadline
Applications are reviewed as they are received and can sometimes be considered after the deadline.
APPLY ONLINE to this Fox graduate program.
Letters of Reference:
Number Required: 1
From Whom: Professional references from an immediate supervisor, current or past, are preferred. Academic references are acceptable.
Bachelor's Degree in Discipline/Related Discipline: The equivalent of a four-year U.S. baccalaureate degree from an accredited university or college is required. For three-year degrees, mark sheets must be evaluated by WES or another NACES organization.
Statement of Goals: Essay prompts can be found in the online application portal.
Standardized Test Scores:
GRE/GMAT: Required. Scores for the GRE typically fall within the following percentile ranges: 50 to 99 Verbal; 65 to 99 Quantitative.
Applicants who earned their baccalaureate degree from an institution where the language of instruction was other than English, with the exception of those who subsequently earned a master’s degree in a country where the language of instruction is English, must report scores for a standardized test of English that meet these minimums:
- TOEFL iBT: 90
- IELTS Academic: 7.0
- Duolingo: 110
- PTE Academic: 68
Resume: Current resume or CV is required.
Interview: Candidates are invited to interview in person or virtually. Interviews are required on a case-by-case basis.
Optional Essay: Prompts for this optional essay can be found in the online application portal.
Transfer Credit: Upper-level graduate credits from an AACSB-accredited graduate business program, but not previously applied to a conferred degree, may be transferred into the MS program. The credits must be part of the required degree program at Temple University. To be transferred, the grade must be a "B" or better. The Admissions Committee makes recommendations for transferring credits to the department chair. The maximum number of credits a student may transfer is 6.
Program Requirements
General Program Requirements:
Number of Credits Required Beyond the Baccalaureate: 30
Required Courses:
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | ||
| STAT 5602 | Visualization: The Art of Numbers and the Psychology of Persuasion | 3 |
| STAT 8003 | Statistical Methods and Concepts | 3 |
| STAT 8004 | Statistical Modeling and Inference | 3 |
| STAT 8109 | Applied Statistics and Data Science | 3 |
| STAT 8121 | Statistical Computing and Optimization | 3 |
| Capstone Course | ||
| Select one (1) from the following: | 3 | |
| Capstone in Analytics | ||
| Business Analytics Capstone | ||
| Internship or Externship in Business 2 | ||
| Electives | ||
| Select four (4) from the following: 1 | 12 | |
| Long-Term Actuarial Modeling | ||
| Advanced Long-Term Actuarial Modeling | ||
| Short-Term Actuarial Modeling | ||
| Actuarial Economics | ||
| Knowledge Discovery and Data Mining | ||
| Neural Computation | ||
| Machine Learning | ||
| Text Mining and Language Processing | ||
| Advanced Statistics for Urban Applications | ||
| Statistical Learning and Data Mining | ||
| Experiments: Knowledge by Design | ||
| Decision Models: From Data to Decisions | ||
| Data: Care, Feeding, and Cleaning in Python | ||
| Advanced Business Analytics | ||
| Probability and Statistics Theory I | ||
| Probability and Statistics Theory II | ||
| High Dimensional Inference | ||
| Mathematics for Statistics | ||
| Survey Techniques for Business Applications | ||
| Nonparametric Methods | ||
| Categorical Data Analysis | ||
| Clinical Trials | ||
| Time Series Analysis and Forecasting | ||
| Design and Analysis of Complex Experiments | ||
| Data Wrangling and Curation | ||
or CIS 5516 | Principles of Data Management | |
| Independent Study | ||
| Total Credit Hours | 30 | |
- 1
Other electives may be selected with the approval of the program's Academic Director.
- 2
Selection of BA 5685 requires approval from the program's Academic Director.
Contacts
Department Information:
Fox School of Business and Management
1801 Liacouras Walk
701 Alter Hall (006-22)
Philadelphia, PA 19122
215-204-5890
215-204-7678
Department Contacts:
Senior Associate Director for Specialized Master’s Programs :
Rachel Carr
215-204-7678