34,950 USDTuition Fee/year
01 Mar, 2027Application Deadline
Jan, SepStarting Month
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Hone the predictive analytics skills needed to join the next generation of elite data analysts with the Master of Science in Statistics and Data Science in Temple University’s Fox School of Business. This 30-credit graduate degree utilizes an innovative curriculum with classes offered in-person on Temple's Main Campus. Students have the option to earn their degree on a part- or full-time basis, depending on their professional schedules.
Through completing this degree, master’s students gain advanced expertise in the use and application of cutting-edge analytical tools and software to collect, analyze and interpret data. Other skills gained through this program include the ability to
- effectively communicate insights and results of analyses in managerially relevant terms;
- explain the applications, assumptions and limitations of data science models and techniques;
- obtain information and insight from large, high-complexity datasets; and
- understand the fundamental methods behind and usage of descriptive, predictive and prescriptive analytics.
In the rapidly changing world of analytics and data science, employer demand for analytics-enabled graduates continues to grow, including an increased demand for graduates with a wide array of analytics skill sets. The Master of Science in Statistics and Data Science is intended for any highly motivated student with a background in linear algebra and programming seeking a more technically challenging program offering additional computational and mathematical skills.
Real-World Capstone
As part of the final steps toward completion of the program, students will participate in a capstone course that integrates real-world problems into their curriculum.
Typically a sponsoring corporation will provide a problem and real data, and students will estimate, evaluate, communicate and identify analytic solutions to these problems. Some students may work on problems associated with their job, while others will work in teams as consultants to a sponsoring corporation.
Students may also choose to write a thesis on a topic in Statistics and Data Science to fulfill their capstone experience with the permission of the academic director.
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Hone the predictive analytics skills needed to join the next generation of elite data analysts with the Master of Science in Statistics and Data Science in Temple University’s Fox School of Business. This 30-credit graduate degree utilizes an innovative curriculum with classes offered in-person on Temple's Main Campus. Students have the option to earn their degree on a part- or full-time basis, depending on their professional schedules.
Through completing this degree, master’s students gain advanced expertise in the use and application of cutting-edge analytical tools and software to collect, analyze and interpret data. Other skills gained through this program include the ability to
- effectively communicate insights and results of analyses in managerially relevant terms;
- explain the applications, assumptions and limitations of data science models and techniques;
- obtain information and insight from large, high-complexity datasets; and
- understand the fundamental methods behind and usage of descriptive, predictive and prescriptive analytics.
In the rapidly changing world of analytics and data science, employer demand for analytics-enabled graduates continues to grow, including an increased demand for graduates with a wide array of analytics skill sets. The Master of Science in Statistics and Data Science is intended for any highly motivated student with a background in linear algebra and programming seeking a more technically challenging program offering additional computational and mathematical skills.
Real-World Capstone
As part of the final steps toward completion of the program, students will participate in a capstone course that integrates real-world problems into their curriculum.
Typically a sponsoring corporation will provide a problem and real data, and students will estimate, evaluate, communicate and identify analytic solutions to these problems. Some students may work on problems associated with their job, while others will work in teams as consultants to a sponsoring corporation.
Students may also choose to write a thesis on a topic in Statistics and Data Science to fulfill their capstone experience with the permission of the academic director.
Admission Requirements
Due to the mathematical nature of this degree’s courses and their fast pace, the admissions review includes particular attention to your quantitative background.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
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