Overview
The Department of Statistics, Operations and Data Science offers the Bachelor of Science in Statistical Science and Data Analytics (SSDA). This degree provides students with knowledge of statistical methods, theory, data management and computation. Students learn how to gather, analyze, and interpret data, while gaining exposure to programming languages such as R, Python and SQL. The SSDA major is also uniquely housed in a business school. Here, students gain a strong statistical foundation, as well as a solid base of business knowledge from core classes in economics, accounting, risk management, and more. They learn to effectively apply strong quantitative and data analytic techniques to today's complex business problems.
With this degree, there are a wide range of employment areas including decision-making in business, healthcare, public policy and the pharmaceutical industry, as well as in social media, sports and commercial areas. The demand is driven by the proliferation of computing technology, software and statistical tools for capturing and interpreting the substantial volume of data now available at the enterprise, government and personal levels. In any field, there are large bodies of data accumulated in need of being explored, understood and analyzed. We ensure students entering the work force or heading to graduate school have the appropriate capacity to "think with data" and to pose and answer statistical questions.
Campus Location: Main
Program Code: BU-SSDA-BS
Student Professional Organization
Statistical Science and Data Analytics majors are encouraged to join the TU American Statistical Association. This active student professional organization offers opportunities for learning and networking through various events. They host employer panels, career development seminars, computing workshops, weekly industry speakers and more.
Contact Information
Edoardo M. Airoldi, Chair and Millard E. Gladfelter Professor of Statistics
Statistics, Operations and Data Science Department
1810 Liacouras Walk, Room 339
airoldi@temple.edu
Lauren Burns, Deputy Chair
Statistics, Operations and Data Science Department
Academic Director, SSDA Major
1810 Liacouras Walk, Room 370
lburns@temple.edu
Learn more about the Bachelor of Science in Statistical Science and Data Analytics.
These requirements are for students who matriculated in academic year 2024-2025. Students who matriculated prior to fall 2024 should refer to the Archives to view the requirements for their Bulletin year.
Summary of Requirements
University Requirements
All new students are required to complete the university's General Education (GenEd) curriculum.
Note that students not continuously enrolled who have not been approved for a Leave of Absence or study elsewhere must follow University requirements current at the time of re-enrollment.
College Requirements
Students must meet College Graduation Requirements for the Bachelor of Science, including the requirements of the major listed below. Students must attain an overall GPA of 2.0 and a 2.0 GPA in the major to graduate as a Statistical Science and Data Analytics major.
Core Requirements
| Code | Title | Credit Hours |
|---|---|---|
| ACCT 2103 | Financial and Managerial Accounting for Decision Making | 4 |
| or ACCT 2903 | Honors Financial and Managerial Accounting for Decision Making | |
| BA 1103 | Legal and Ethical Reasoning in Business | 3 |
| or BA 1903 | Honors Legal and Ethical Reasoning in Business | |
| BA 2101 | Professional Development Strategies | 1 |
| BA 2104 | Excel for Business Applications | 1 |
| BA 2196 | Business Communications | 3 |
| or BA 2996 | Honors Business Communications | |
| CIS 1051 | Introduction to Problem Solving and Programming in Python | 4 |
| ECON 1101 | Macroeconomic Principles | 3 |
| or ECON 1901 | Honors Macroeconomic Principles | |
| ECON 1102 | Microeconomic Principles | 3 |
| or ECON 1902 | Honors Microeconomic Principles | |
| MATH 1041 | Calculus I | 4 |
| or MATH 1941 | Honors Calculus I | |
| MATH 1042 | Calculus II | 4 |
| or MATH 1942 | Honors Calculus II | |
| MSOM 3101 | Operations Management | 3 |
| or MSOM 3901 | Honors Operations Management | |
| RMI 2101 | Introduction to Risk Management | 3 |
| or RMI 2901 | Honors Introduction to Risk Management | |
| STAT 2103 | Statistical Business Analytics | 4 |
| or STAT 2903 | Honors Statistical Business Analytics | |
| Total Credit Hours | 40 | |
Note: In order to graduate, a grade of C- or better must be obtained in all FSBM core requirements.
Major Requirements
Students must follow the Major Requirements and College Requirements current at the time of declaration. Students not continuously enrolled who have not been approved for a Leave of Absence or study elsewhere must follow University, College, and Major requirements current at the time of re-enrollment.
Requirements of Statistical Science and Data Analytics Major
| Code | Title | Credit Hours |
|---|---|---|
| BA 2501 | Turning Numbers into Knowledge: Visualizing Data | 3 |
| STAT 2501 | Quantitative Foundations for Data Science (spring only) | 3 |
| STAT 2521 | Data Analysis and Statistical Computing | 3 |
| STAT 2522 | Survey Design and Sampling (spring only) | 3 |
| STAT 2523 | Design of Experiments and Quality Control (fall only) | 3 |
| STAT 3502 | Regression and Predictive Analytics (fall only) | 3 |
| STAT 3503 | Applied Statistics and Data Science | 3 |
| STAT 3504 | Time Series and Forecasting Models (fall only) | 3 |
| STAT 3506 | Nonparametric and Categorical Data Analysis (fall only) | 3 |
| STAT 3507 | Intermediate Statistics (spring only) | 3 |
| STAT 3508 | Data Management, Missing Data, and Outlier Analysis (spring only) | 3 |
| STAT 4596 | Capstone: Statistical Science and Data Analytics (spring only) | 3 |
| Select three (3) business electives 1 | 9-12 | |
| Total Credit Hours | 45-48 | |
- 1
2000-3999 electives can be selected from: ACCT, AS, BA, ECON, FIN, HRM, IB, LGLS, MIS, MKTG, RE, RMI, STAT, SCM, SGM. Please see your advisor for elective suggestions that match your career objectives. Interested students should consider research with faculty members (Independent Study) as part of their electives.
Suggested Academic Plan
Bachelor of Science in Statistical Science and Data Analytics
Suggested Plan for New Students Starting in the 2024-2025 Academic Year
Please note that this plan is suggested only, ensuring prerequisites are met.
| Year 1 | ||
|---|---|---|
| Fall | Credit Hours | |
| MATH 1041 | Calculus I (waives GenEd Quantitative Literacy requirement) | 4 |
| BA 2104 | Excel for Business Applications | 1 |
| ECON 1102 | Microeconomic Principles | 3 |
| BA 1103 or BA 1903 | Legal and Ethical Reasoning in Business or Honors Legal and Ethical Reasoning in Business | 3 |
| ENG 0802 | Analytical Reading and Writing [GW] or Analytical Reading and Writing: ESL [GW] or Honors Analytical Reading and Writing [GW] | 4 |
| Credit Hours | 15 | |
| Spring | ||
| MATH 1042 | Calculus II | 4 |
| STAT 2103 | Statistical Business Analytics | 4 |
| ECON 1101 | Macroeconomic Principles | 3 |
| IH 0851 or IH 0951 | Intellectual Heritage I: The Good Life [GY] or Honors Intellectual Heritage I: The Good Life [GY] | 3 |
| GenEd Breadth Course | 3 | |
| Credit Hours | 17 | |
| Year 2 | ||
| Fall | ||
| STAT 2521 | Data Analysis and Statistical Computing | 3 |
| BA 2196 | Business Communications [WI] | 3 |
| ACCT 2103 or ACCT 2903 | Financial and Managerial Accounting for Decision Making or Honors Financial and Managerial Accounting for Decision Making | 4 |
| CIS 1051 | Introduction to Problem Solving and Programming in Python | 4 |
| IH 0852 or IH 0952 | Intellectual Heritage II: The Common Good [GZ] or Honors Intellectual Heritage II: The Common Good [GZ] | 3 |
| Credit Hours | 17 | |
| Spring | ||
| STAT 2501 | Quantitative Foundations for Data Science | 3 |
| STAT 2522 | Survey Design and Sampling | 3 |
| BA 2101 | Professional Development Strategies | 1 |
| BA 2501 | Turning Numbers into Knowledge: Visualizing Data | 3 |
| RMI 2101 | Introduction to Risk Management | 3 |
| GenEd Breadth Course | 3 | |
| Credit Hours | 16 | |
| Year 3 | ||
| Fall | ||
| MSOM 3101 | Operations Management | 3 |
| STAT 2523 | Design of Experiments and Quality Control | 3 |
| STAT 3502 | Regression and Predictive Analytics | 3 |
| Business Elective 1 1 | 3-4 | |
| Free Elective | 3-2 | |
| Credit Hours | 15 | |
| Spring | ||
| STAT 3503 | Applied Statistics and Data Science | 3 |
| STAT 3507 | Intermediate Statistics | 3 |
| STAT 3508 | Data Management, Missing Data, and Outlier Analysis | 3 |
| GenEd Breadth Course | 3 | |
| GenEd Breadth Course | 3 | |
| Credit Hours | 15 | |
| Year 4 | ||
| Fall | ||
| STAT 3504 | Time Series and Forecasting Models | 3 |
| STAT 3506 | Nonparametric and Categorical Data Analysis | 3 |
| GenEd Breadth Course | 3 | |
| GenEd Breadth Course | 3 | |
| GenEd Breadth Course | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| STAT 4596 | Capstone: Statistical Science and Data Analytics [WI] | 3 |
| Business Elective 2 1 | 3-4 | |
| Business Elective 3 1 | 3-4 | |
| Free Elective | 3-1 | |
| Credit Hours | 12 | |
| Total Credit Hours | 122 | |
- 1
2000-3999 electives can be selected from: ACCT, AS, BA, ECON, FIN, HRM, IB, LGLS, MIS, MKTG, RE, RMI, STAT, SCM, SGM. Please see your advisor for elective suggestions that match your career objectives. Interested students should consider research with faculty members (Independent Study) as part of their electives.
Accelerated Programs
Students may opt to pursue an accelerated +1 program, enabling them to complete both a bachelor's degree and master's degree in less time than the traditional route.
The following accelerated programs are available to students in the Statistical Science and Data Analytics BS:
Business Analytics MS
The Master of Science in Business Analytics (MSBA) accelerated program is designed for students interested in pursuing a MS in Business Analytics while completing the BS in Statistical Science and Data Analytics (SSDA) requirements. Through this program, students use some of their elective space to begin graduate courses in their junior and senior year. The remaining master's classes are completed in one year after graduating with the BS degree. Thus, students are able to earn both the BS in SSDA and MSBA degrees in 4+1 years. Learn more about the application process and deadlines.
Additional Fox School of Business and Management +1 Programs