

The Master of Science in Measurement, Evaluation and Statistics with a focus on Applied Statistics provides an in depth study of statistical methods and their applications in research, education and policy evaluation. Students gain expertise in data analysis, modeling, and interpretation, allowing them to make evidence based decisions and assess complex datasets with confidence. The program emphasizes the use of modern statistical techniques, computational tools and applied methodologies to address practical problems in various professional and academic contexts. Through a combination of theoretical coursework and hands on application, learners develop the ability to transform data into actionable insights that inform decision making.
The program also cultivates research skills, analytical reasoning and methodological rigor, preparing graduates to approach real world challenges in measurement and evaluation. Faculty guidance, laboratory exercises and project based learning enable students to develop technical proficiency in statistical software, experimental design and data visualization. By integrating applied statistics with research evaluation, graduates are prepared to contribute to academic studies, organizational assessments and policy initiatives that rely on accurate and insightful data interpretation. The curriculum ensures that learners leave with both conceptual understanding and practical skills essential for careers in statistical analysis and evaluation.
Semester 1 Foundations in Applied Statistics
• Introduction to Applied Statistics
• Statistical Methods for Data Analysis
• Probability and Mathematical Foundations
• Research Design and Methodology
Semester 2 Advanced Statistical Applications
• Regression and Multivariate Analysis
• Experimental and Quasi Experimental Design
• Statistical Computing and Software Applications
• Seminar in Applied Statistical Research
Graduates of this program are prepared for roles in research organizations, educational institutions, government agencies and data analytics firms, where applied statistical expertise is essential for decision making. Alumni may work as data analysts, research associates, evaluation specialists or statisticians, applying quantitative techniques to study outcomes, assess programs and support policy development. The emphasis on applied statistical methods equips graduates to analyze complex datasets, conduct predictive modeling and present evidence based findings to stakeholders. Some graduates continue into doctoral studies to further develop expertise in statistics, measurement or evaluation research. With strong analytical and methodological training, alumni are ready to contribute to data driven decision making in a variety of professional environments.
Students choose this program for its combination of practical application and theoretical rigor, offering a curriculum that strengthens statistical analysis, research design and problem solving skills. The program emphasizes applied learning, computational proficiency and evidence based evaluation, allowing learners to translate data into actionable insights. Faculty mentorship, lab exercises and applied projects provide opportunities for students to gain hands on experience with real datasets, fostering both confidence and competence. For individuals seeking a graduate program that equips them with advanced skills in statistics, measurement and evaluation while preparing them for impactful careers, this degree provides a focused and practical pathway.
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States