M.S. in Applied Statistics
Syracuse University, United States
Master of Science in Applied Statistics
Syracuse University
Applied Statistics
Program Overview: M.S. in Applied Statistics at Syracuse University
The Master of Science in Applied Statistics at Syracuse University is a professional degree program administered by the Interdisciplinary Statistics Program based in the College of Arts and Sciences. The program prepares students to apply cutting-edge statistical methodologies and theory to make meaningful inferences from data obtained across government, health sciences, industry, and management sectors.
Created in 1989, this interdisciplinary program draws faculty from computer and information science, education, engineering, management, mathematics, psychology, and the social sciences. It is distinguished from other graduate programs in statistics by its strong emphasis on real-world applications and statistical consulting experience.
The program is designed for quantitatively oriented students with bachelor's degrees in fields such as agriculture, biological sciences, business, computer science, engineering, mathematics, or the physical and social sciences. It is also well-suited for working professionals who handle data in their current roles and wish to deepen their practical statistical expertise.
Key Program Highlights
- Interdisciplinary faculty spanning computer science, engineering, mathematics, psychology, management, and the social sciences
- Strong emphasis on real-world applications with hands-on statistical consulting training
- Proficiency in multiple statistical software platforms including R, SAS, SPSS, MATLAB, and MINITAB
- Flexible curriculum of 11 courses (33 credits) tailored to individual career and research goals
Curriculum and Course Modules
The M.S. in Applied Statistics requires the completion of 33 graduate credits across 11 courses. Students complete four core courses (12 credits), select electives in regression analysis and applied statistics, and gain hands-on experience through a statistical consulting or independent study capstone component.
Introduction to Probability (MAT 521)
3 CreditsCovers fundamental probability concepts and skills in working with basic probability formulas. Students with a strong mathematics background may take the advanced alternative MAT 651.
Mathematical Statistics (MAT 525)
3 CreditsProvides a rigorous foundation in statistical theory including estimation, hypothesis testing, and statistical inference. Advanced students may substitute MAT 652.
Regression Analysis
3 CreditsFocuses on regression modeling techniques for analyzing relationships between variables. Students choose from approved regression analysis courses across multiple departments.
Statistical Consulting (MAT 750 / STT 750)
3 CreditsProvides hands-on experience applying statistical knowledge to real-world problems through consulting projects. Students learn to present results verbally and in writing to diverse audiences.
Applied Statistics Elective I
3 CreditsAn elective course selected from approved statistics offerings across departments, allowing students to specialize in areas aligned with their career goals and research interests.
Independent Study (STT 690)
3 CreditsA capstone experience taken toward the end of the program, requiring students to apply their statistical knowledge to a substantial real-world problem with a significant consulting component.
Elective Specialization Areas
Admission Requirements
The M.S. in Applied Statistics program welcomes quantitatively oriented students from diverse academic backgrounds. Applicants are evaluated holistically based on their academic preparation, prerequisite coursework, and standardized test scores. All applications are processed through Uni4Edu.
Academic Requirements
- Bachelor's DegreeA completed bachelor's degree in agriculture, biological sciences, business, computer science, engineering, mathematics, physical or social sciences, or a related quantitative field
- Prerequisite CourseworkOne course in introductory statistics, one course in regression analysis, and four courses in application areas
- GRE ScoresGraduate Record Examination scores or equivalent are carefully evaluated as part of the application
- Probability KnowledgeConcepts and skills in working with basic probability formulas
- Computing SkillsWorking knowledge of at least one computing tool from MATLAB, MINITAB, R, SAS, or SPSS
English Language Requirements
- TOEFLMinimum score of 80+ (internet-based); contact Uni4Edu for program-specific requirements
- IELTSMinimum overall band score of 6.5
- Duolingo English TestAccepted as an alternative; contact Uni4Edu for minimum score details
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Syracuse University offers several funding opportunities for graduate students in the Applied Statistics program. Graduate assistantships and merit-based awards are available on a competitive basis. Contact Uni4Edu for personalized guidance on funding options and eligibility.
Graduate Teaching Assistantship
Tuition scholarship plus stipendAwarded competitively to qualified applicants, teaching assistantships include a tuition scholarship for up to 24 credits per year and a living stipend. Applications received by December 15 receive priority consideration.
Graduate Research Assistantship
Tuition scholarship plus stipendResearch assistantships are available through faculty-led projects across the interdisciplinary statistics program. Recipients gain hands-on research experience while receiving financial support for tuition and living expenses.
Syracuse University Graduate Fellowships
Varies by awardThe university offers merit-based graduate fellowships to outstanding incoming students. These awards recognize exceptional academic achievement and may be combined with assistantship funding. Contact Uni4Edu for current availability.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects for Applied Statistics Graduates
Applied statisticians are highly sought after in diverse fields including government agencies, pharmaceutical companies, consulting firms, and financial companies. Graduates of the M.S. in Applied Statistics program are equipped with the analytical and consulting skills needed to excel in data-driven roles across multiple industries.
Potential Career Paths
Industries and Employers Hiring Applied Statisticians
Rankings and Recognition
Syracuse University is a well-established private research institution founded in 1870, recognized nationally and internationally for its strong academic programs across 13 schools and colleges. The university maintains solid rankings from major global and national ranking bodies.
| Subject | Ranking Body | Rank |
|---|---|---|
| Library and Information Management | QS Subject Rankings | #14 |
| Business and Economics | THE Subject Rankings | #251-300 |
| Mathematics and Statistics | QS Subject Rankings | Contact Uni4Edu for current data |
| Architecture and Built Environment | QS Subject Rankings | #151-200 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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