Program Overview

Program Overview

The Statistics and Data Science MS program at Temple University is a 30-credit hour program that provides students with a comprehensive education in statistical methods and data science.

Program Requirements

General Program Requirements

The program requires 30 credit hours beyond the baccalaureate degree.

Required Courses

The following courses are required:

• Core Courses:
  • STAT 5602: Visualization: The Art of Numbers and the Psychology of Persuasion (3 credit hours)
  • STAT 8003: Statistical Methods and Concepts (3 credit hours)
  • STAT 8004: Statistical Modeling and Inference (3 credit hours)
  • STAT 8109: Applied Statistics and Data Science (3 credit hours)
  • STAT 8121: Statistical Computing and Optimization (3 credit hours)
• Capstone Course:
  • Select one from the following:
    • STAT 5651: Capstone in Analytics (3 credit hours)
    • BA 5651 (3 credit hours)
    • BA 5685: Internship or Externship in Business (3 credit hours) (requires approval from the program's Academic Director)
• Electives:
  • Select four from the following:
    • AS 5102: Long-Term Actuarial Modeling (3 credit hours)
    • AS 5103: Advanced Long-Term Actuarial Modeling (3 credit hours)
    • AS 5104: Short-Term Actuarial Modeling (3 credit hours)
    • AS 5105: Actuarial Economics (3 credit hours)
    • CIS 5523: Knowledge Discovery and Data Mining (3 credit hours)
    • CIS 5525: Neural Computation (3 credit hours)
    • CIS 5526: Machine Learning (3 credit hours)
    • CIS 5538: Text Mining and Language Processing (3 credit hours)
    • GUS 5162: Advanced Statistics for Urban Applications (3 credit hours)
    • STAT 5603: Statistical Learning and Data Mining (3 credit hours)
    • STAT 5604: Experiments: Knowledge by Design (3 credit hours)
    • STAT 5605: Decision Models: From Data to Decisions (3 credit hours)
    • STAT 5606: Data: Care, Feeding, and Cleaning in Python (3 credit hours)
    • STAT 5607: Advanced Business Analytics (3 credit hours)
    • STAT 8001: Probability and Statistics Theory I (3 credit hours)
    • STAT 8002: Probability and Statistics Theory II (3 credit hours)
    • STAT 8102: High Dimensional Inference (3 credit hours)
    • STAT 8104: Mathematics for Statistics (3 credit hours)
    • STAT 8111 (3 credit hours)
    • STAT 8115: Nonparametric Methods (3 credit hours)
    • STAT 8116: Categorical Data Analysis (3 credit hours)
    • STAT 8117: Clinical Trials (3 credit hours)
    • STAT 8123: Time Series Analysis and Forecasting (3 credit hours)
    • STAT 8207 (3 credit hours)
    • STAT 8515: Data Wrangling and Curation (3 credit hours)
    • CIS 5516: Principles of Data Management (3 credit hours)
    • STAT 8982: Independent Study (3 credit hours)

Other electives may be selected with the approval of the program's Academic Director.

Total Credit Hours

The total credit hours required for the program is 30.