Computational Data Science MS Postgraduate Programme By Temple University |TopUniversities
Application Deadline

15 Jan, 2026Application Deadline

Main Subject Area

Statistics and Operational ResearchMain Subject Area

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Extract knowledge from big data with the Master of Science in Computational Data Science in Temple’s College of Science and Technology. You can enroll in the 30-credit-hour degree program as a part- or full-time student. Once you graduate, you’ll be prepared to fill the growing demand for data scientists in a range of industries from education to government. The program will also ready you for further graduate studies, research positions or teaching careers.


As a student, you’ll dig deep into computational analytics and explore techniques and theories steeped in computer science, mathematics and statistics. Throughout the program, you’ll learn how to analyze large quantities of data and discover the knowledge necessary to fuel cutting-edge developments. Data science is used to make complex decisions in a wide range of data-rich domains, such as biomedical science, defense and security, education, engineering, geoscience, physical science, and social science. 


You’ll gain a strong foundation in algorithmic, computational and statistical thinking as well as the inner-workings of computer systems. Toward the end of the program, you will have the opportunity to pursue topics related to your academic and professional interests with the three-credit Master’s Project or the more advanced six-credit Master’s Thesis.

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Extract knowledge from big data with the Master of Science in Computational Data Science in Temple’s College of Science and Technology. You can enroll in the 30-credit-hour degree program as a part- or full-time student. Once you graduate, you’ll be prepared to fill the growing demand for data scientists in a range of industries from education to government. The program will also ready you for further graduate studies, research positions or teaching careers.


As a student, you’ll dig deep into computational analytics and explore techniques and theories steeped in computer science, mathematics and statistics. Throughout the program, you’ll learn how to analyze large quantities of data and discover the knowledge necessary to fuel cutting-edge developments. Data science is used to make complex decisions in a wide range of data-rich domains, such as biomedical science, defense and security, education, engineering, geoscience, physical science, and social science. 


You’ll gain a strong foundation in algorithmic, computational and statistical thinking as well as the inner-workings of computer systems. Toward the end of the program, you will have the opportunity to pursue topics related to your academic and professional interests with the three-credit Master’s Project or the more advanced six-credit Master’s Thesis.

Admission Requirements

110+
58+
85+
7+
Bachelor's Degree in Discipline/Related Discipline: A baccalaureate degree in Computer Science is required. Applicants who have insufficient undergraduate coursework in Computer Science will need to take undergraduate courses to address any deficiencies.

15 Jan 2026
Jan
Aug

Scholarships

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