Statistical Science and Data Analytics

Learn more about the Bachelor of Science in Statistical Science and Data Analytics.

Sanat K. Sarkar, Chair and Cyrus H. K. Curtis Professor
1810 Liacouras Walk, Room 333
sanat@temple.edu

Pallavi Chitturi, Deputy Chair and Professor
chitturi@temple.edu

https://www.fox.temple.edu/departments/statistical-science/

The Statistical Science Department offers the Bachelor of Science (B.S.) in Statistical Science and Data Analytics. The recent Best Jobs list compiled by CareerCast (a Local and National Job search company) ranks Data Scientist as No. 1 and Statistician as No. 2. in their list of the best jobs with high demand. As we survey representatives from different companies, the consistent message we receive is that the cost of hiring and the demand for talent are skyrocketing. 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.

The educational objective of the program is to provide graduates with a rigorous and broad-based curriculum providing:

  1. Rigorous quantitative foundation 
  2. Alignment and coordination with the established quantitative disciplines at Fox and at Temple University
  3. Exposure to programming and modern languages such as C, SAS, etc., including preparation for future SAS certification exams, after obtaining the Basics SAS certificate during the program  
  4. Effective communication skills     

The major areas of employment mentioned in the report are: decision-making in business, healthcare, policy, as well as in social media, and commercial areas. In these areas, there are large bodies of data accumulated over the internet, in need of being explored, understood, and analyzed. Statisticians will also be increasingly needed in the pharmaceutical industry. Biostatisticians will be needed to conduct the research and clinical trials necessary for companies to obtain approval for their products from the Food and Drug Administration. Another area of employment for statisticians is the government, where policy analysis is needed more and more. There is also growth projected for future graduates in statistics in research and development in the physical, engineering, and life sciences, where statisticians' skills in designing tests and assessing results are highly useful.

Reputable national organizations, like the American Statistical Association (ASA), endorse the value of undergraduate programs in statistics as a reflection of the increasing importance of the discipline. Statistics programs should be flexible enough to prepare bachelor's graduates to either be functioning statisticians in a service-oriented economy or go on to graduate school. The ASA guidelines for curriculum development address required changes in curriculum and suggest pedagogy in response to the strong upward demand for statisticians. Institutions need to 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.

Minor

Skilled users of data enhance their career opportunities. Students in any major who wish to become proficient in the ability to select, utilize, and apply quantitative and data analysis skills can pursue a minor in Statistics & Data Science. Courses cannot be used to meet minor requirements if already used to meet the requirements for a major or a different minor. Requirements for the minor must be completed prior to graduation.

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

BA 2104Excel for Business Applications1
ECON 1101Macroeconomic Principles3
or ECON 1901 Honors Macroeconomic Principles
ECON 1102Microeconomic Principles3
or ECON 1902 Honors Microeconomic Principles
HRM 1101Leadership and Organizational Management3
or HRM 1901 Honors Leadership and Organizational Management
MATH 1041Calculus I4
or MATH 1941 Honors Calculus I
MATH 1042Calculus II4
or MATH 1942 Honors Calculus II
STAT 2103Statistical Business Analytics4
or STAT 2903 Honors Statistical Business Analytics
ACCT 2101Financial Accounting3
or ACCT 2901 Honors Financial Accounting
BA 2196Business Communications3
or BA 2996 Honors Business Communications
CIS 1051Introduction to Problem Solving and Programming in Python4
CIS 1068Program Design and Abstraction4
MKTG 2101Marketing Management3
or MKTG 2901 Honors Marketing Management
RMI 2101Introduction to Risk Management3
or RMI 2901 Honors Introduction to Risk Management
Total Credit Hours42

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

STAT 2501Quantitative Foundations for Data Science3
STAT 2512Intermediate Statistics3
STAT 2521Data Analysis and Statistical Computing3
STAT 2522Survey Design and Sampling (spring only)3
STAT 2523Design of Experiments and Quality Control (fall only)3
STAT 3502Regression and Predictive Analytics (fall only)3
STAT 3503Applied Statistics and Data Science3
STAT 3504Time Series and Forecasting Models (fall only)3
STAT 3505Introduction to SAS for Data Analytics (spring only)3
STAT 3506Nonparametric and Categorical Data Analysis (fall only)3
STAT 4596Capstone: Statistical Science and Data Analytics (spring only)3
Focus Area
Select one set from the following:6-8
Managerial Accounting
and Financial Management
Mathematical Concepts in Computing I
and Database Management Systems
Introduction to Health Services Systems
and Healthcare Financing and Information Technology
Digital Marketing
and Customer Data Analytics
Introduction to Media Theory
and Introduction to Media Production
Media Research
Operations Management
and Principles of Supply Chain Management
Transportation and Logistics Management
Total Credit Hours39-41

Suggested Academic Plan

Bachelor of Science in Statistical Science and Data Analytics

Requirements for New Students starting in the 2021-2022 Academic Year

Please note that this plan is suggested only, ensuring prerequisites are met.

Year 1
FallCredit Hours
MATH 1041Calculus I (waives GenEd Quantitative Literacy requirement)4
BA 2104Excel for Business Applications1
ECON 1102Microeconomic Principles3
HRM 1101Leadership and Organizational Management3
ENG 0802, 0812, or 0902Analytical Reading and Writing [GW]4
 Term Credit Hours15
Spring
MATH 1042Calculus II4
STAT 2103Statistical Business Analytics4
ECON 1101Macroeconomic Principles3
IH 0851 or 0951Intellectual Heritage I: The Good Life [GY]3
GenEd Breadth Course3
 Term Credit Hours17
Year 2
Fall
STAT 2521Data Analysis and Statistical Computing3
ACCT 2101Financial Accounting3
BA 2196Business Communications [WI]3
CIS 1051Introduction to Problem Solving and Programming in Python4
IH 0852 or 0952Intellectual Heritage II: The Common Good [GZ]3
 Term Credit Hours16
Spring
STAT 2501Quantitative Foundations for Data Science3
STAT 2522Survey Design and Sampling3
CIS 1068Program Design and Abstraction4
MKTG 2101Marketing Management3
RMI 2101Introduction to Risk Management3
 Term Credit Hours16
Year 3
Fall
STAT 2523Design of Experiments and Quality Control3
STAT 3502Regression and Predictive Analytics3
Focus Area Elective13
GenEd Breadth Course3
GenEd Breadth Course3
 Term Credit Hours15
Spring
STAT 3503Applied Statistics and Data Science3
STAT 3505Introduction to SAS for Data Analytics3
STAT 2512Intermediate Statistics3
GenEd Breadth Course3
GenEd Breadth Course3
 Term Credit Hours15
Year 4
Fall
STAT 3504Time Series and Forecasting Models3
STAT 3506Nonparametric and Categorical Data Analysis3
GenEd Breadth Course3
GenEd Breadth Course3
Free Elective3
 Term Credit Hours15
Spring
STAT 4596Capstone: Statistical Science and Data Analytics [WI]3
Focus Area Elective13
Free Elective3
Free Elective4
 Term Credit Hours13
 Total Credit Hours: 122