The Path to a better future is right in front of you
The Graduate School
1032 W. Sheridan Rd
Chicago, IL 60660
Master of Science in Applied Statistics
Equipped with statistical modelling tools, evidence and big data, applied statisticians influence and drive the decision-making and analytics process at a vast array of organizations.
Applied statisticians, biostatisticians, and data analysts are in high demand, both in the Chicago area and nationwide. Currently, more jobs exist than do qualified individuals. With only a small number of qualified candidates in the field, graduates of Loyola’s Master of Science (MS) in Applied Statistics program enjoy a wide array of career options.
The MS in Applied Statistics puts students ahead of the game.
The MS in Applied Statistics is ideal for recent graduates looking to make a career in data science and/or predictive modelling. While some of our students come from quantitative backgrounds, many students come from programs in biological sciences, psychology, business, and education, as well as for working professionals who are looking to break into a new career. Individuals from a variety of areas have done well in our program and are now gainfully employed applied statisticians and data scientists.
Five Key Strengths
Faculty offer office hours and regular seminars in keeping with Loyola’s student-focused mission. We also include students in research activities and include them as joint authors, and the Graduate Program Director is in weekly contact with important information (such as course planning, forthcoming deadlines, internship and job opportunities, etc.).
Students choose between four specializations—Biostatistics, Environmental Statistics, General Applied Statistics, or Predictive Analytics/ Modeling—and generally complete the program in just three semesters of full-time study. The Biostatistics specialization covers non- and pre-clinical statistical methods, bioassay, statistical genetics, clinical trials, and bioinformatics. The Environmental Statistics specialization addresses Geographic Information Systems (GIS), spatial statistics, and environmetrics. The specialization in General Applied Statistics includes non-medical applications such as actuarial, commercial, data-mining, industrial, marketing, and national defense. The Predictive Modeling specialization focuses on big data analytics and modeling.
Classification: Doctoral/Research University—Extensive
Locale: Large City
Size & Settings: 10,000-19,999