Statistics and Data Science MS


Learn more about the Master of Science in Statistics and Data Science.

About the Program

The Department of Statistical Science offers the Statistics and Data Science MS program to allow students to acquire in-depth knowledge of data science and statistics. The program prepares “super analysts” who have stronger and deeper skills in predictive analytics. Students learn to:

  • differentiate descriptive, predictive and prescriptive analytics and recognize when each is appropriate, as well as understand the fundamental methods and techniques used in each;
  • understand the applications, assumptions and limitations of data science models and techniques at a deep level; and
  • develop expertise in the use and application of cutting-edge analytical tools and software.

Time Limit for Degree Completion: 6 years

Campus Location: Main and Center City, with some courses offered online

Full-Time/Part-Time Status: The degree program can be completed on a full- or part-time basis.

Job Prospects: Graduates of the master's program are trained to serve as professional statisticians in industry, research organizations or government.

Non-Matriculated Student Policy: This program requires the student to be matriculated in the degree program.

Financing Opportunities: Assistantships are typically reserved for those engaged in doctoral study.

Admission Requirements and Deadlines

Application Deadline:

This program is not accepting applications for the 2023-2024 academic year.

Letters of Reference:
Number Required: 2

From Whom: Academic or professional references are acceptable.

Coursework Required for Admission Consideration: Students must have completed a minimum of two semesters of university-level Calculus or its equivalent. Adequate preparation in Linear Algebra and in Programming are also required. Prerequisites include:

CIS 5011Programming and Data Structure (or equivalent)3
MATH 5001Linear Algebra (or equivalent)3

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. Consult an admissions advisor with any questions.

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: 6.5
  • Duolingo: 110
  • PTE Academic: 68

Any student admitted with a TOEFL score below 100 iBT must pass an English skills course during the first term of enrollment at Temple University.

Resume: Current resume or CV is required.

Transfer Credit: Upper-level graduate credits from an accredited graduate 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 with regard to transfer credits to the Director of the Graduate Program in Statistical Science. 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:

Core Courses
STAT 5602Visualization: The Art of Numbers and the Psychology of Persuasion3
STAT 8003Statistical Methods and Concepts3
STAT 8004Statistical Modeling and Inference3
STAT 8109Applied Statistics and Data Science3
STAT 8121Statistical Computing and Optimization3
Select four from the following: 112
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
High Dimensional Inference
Survey Techniques for Business Applications
Nonparametric Methods
Categorical Data Analysis
Time Series Analysis and Forecasting
Design and Analysis of Complex Experiments
STAT 8217
Data Wrangling and Curation
Principles of Data Management
Independent Study
Capstone Course
Select one of the following:3
Business Analytics Capstone
Internship or Externship in Business 2
Capstone in Analytics
Total Credit Hours30

Culminating Event: Satisfactory completion of coursework is required to earn the Statistics and Data Science MS.


Program Web Address:

Department Information:

Fox School of Business and Management

1801 Liacouras Walk

701 Alter Hall (006-22)

Philadelphia, PA 19122



Fax: 215-204-1632

Submission Address for Application Materials:

Department Contacts:

Academic Director:

Eric Eisenstein

527 Alter Hall


Assistant Director, Business Analytics and Data Science Programs:

Samar Khan


Specialized Master's Programs Coordinator:

Rachel Carr

Senior Associate Director for Specialized Master's Programs