MS in Applied Statistics
ACADEMIC REQUIREMENTS FOR ADMISSION
Applicants must possess a bachelor’s degree from an accredited institution, a minimum of a “B” average in undergraduate course work, and the minimum course requirements:
- One year of Calculus equivalent to MATH 131 & MATH 132 or MATH 161 & MATH 162
- One course in Introductory Statistics equivalent to STAT 103, STAT 203 or STAT 335.
Students who do not meet the above requirements may be admitted conditionally and will be required to take additional courses. Students having only the minimum above requirements may be advised by the Graduate Program Director to seek additional background courses (such as multivariate calculus and linear algebra).
Students working toward their MS in Applied Statistics have the choice to specialize in:
- Biostatistics—includes the areas of Statistical Genetics, Bioinformatics, and Classical Biostatistics
- General Applied Statistics—includes non-medical applications to Actuarial, Commercial, Environmental, Industrial, and National Defense areas
- Statistical Consulting Course (STAT 401)
An important defining characteristic of the field of Applied Statistics is that it is inherently collaborative in nature. This MS program underscores the process of shared learning, joint discovery, dialogue, and communication. Participation is required in a two-credit course in Statistical Consulting (STAT 401), in which consulting techniques are explored and discussed. Students take this course is towards the end of their studies, so that it will serve as a true capstone course, one which brings together all previous classes and helps students to synthesize their knowledge.
In addition, cohorts of students are paired with Loyola researchers to assist them with the analysis of their data so as to aid them in answering their underlying queries. This service will be provided to Loyola researchers on a voluntary basis and pro bono. Researchers are encouraged to present important background and research hypotheses to the class as a whole so that the class can discuss the project in a case study format. Statistics students enrolled in this course will be actively supervised by Statistics faculty members and will report their findings and experiences back to the class upon completion of the project.
As a result, this program interacts intensively with researchers in need of assistance with data analysis. For example, with those in the Departments of Biology, Biostatistics and Bioinformatics, Chemistry, Economics, Psychology, and Sociology, just to name a few. Students may also find opportunities to collaborate with researchers in the Center for Urban Environmental Research and Policy (CUERP), the Center for Urban Research and Learning (CURL), the Parmly Hearing Institute, or university administration.
- Required Coursework (29 Credits)
Students are required to complete nine three-credit courses; at least seven of these nine course must be at the 400-level. When including the two-credit capstone Statistical Consulting course mentioned above, this is a total of 29 credits for the MS degree. Regardless of the specialization, all students are required to take the following six courses (17 credits):
- Elements of Statistical Consulting—STAT 401 (2 credits)
- SAS Programming and Applied Statistics—STAT 403
- Probability and Statistical Theory I—STAT 404
- Probability and Statistical Theory II—STAT 405
- Statistical Design of Analysis of Experiments—STAT 407
- Applied Regression Analysis—STAT 408
The four (12 credits) additional elective courses may be chosen from the following:
- Stochastic Processes—STAT 406
- Categorical Data Analysis—STAT 410
- Applied Survival Analysis—STAT 411
- Applied Multivariate Statistical Analysis—STAT 412
- Advanced Statistical Theory—STAT 426
- Advanced Biostatistics—STAT 436
- Quantitative Methods in Bioinformatics—STAT 437
- Topics in Statistics and Biostatistics—STAT 488
- Other course approved by the Statistics Graduate Program Director (GPD), including as many as two relevant MATH or STAT courses at the 300 level. For example, interested students may take as many as two of the following courses: Combinatorial Mathematics (MATH 423), Algebraic Coding Theory (MAT 428), Financial Mathematics I (MATH 445), or Structural Equation Modeling (PSYC 493). Courses outside of the STAT designation must be approved by the GPD.
- Independent Study in Statistics and Biostatistics—STAT 499
- Grade Requirements
Graduate students are expected to maintain an average of not less than “B” (3.0 of 4.0). No more than two grades of “C” or “C+” and no grades lower than “C” may be counted as fulfilling degree requirements. Such grades, however, will be calculated in the GPA. No student will graduate with less than a 3.00 average for all graduate level courses and undergraduate courses taken for graduate credit.
In addition, students who earn multiple grades of “C” are subject to review and possible withdrawal from the program.
Qualified applicants may apply for financial aid in the form of graduate assistantships. Some tuition stipends may also be available.
- Placement Information
Recent graduates have continued their PhD studies or taken jobs at firms and universities such as A.C. Nielsen, Allstate, Bank of America, Chicago Tribune, Children’s Research Triangle, CNA, Farmer’s Insurance, HSBC, J.D. Power & Associates, JP Morgan Chase, Motorola, Northwestern University School of Medicine, Quantitative Risk Management, Symphony IRI Group, TransUnion, Trustmark, Washington University (St. Louis), University of Michigan School of Medicine, Valence Health, and Zurich Reinsurance.
Further information about the Applied Statistics program may be found here at the Graduate Program Director's home page.
Application for graduate study at Loyola University Chicago should be made online at the Graduate School. Applicants are required to submit three letters of recommendation and transcripts of all previous undergraduate and graduate work. Apply today!
If you have additional questions, please contact us.