Algorithms, formulas, mathematical methodologies — these elements constitute the building blocks of statistical analysis. Each data point tells a story, and it's up to applied statisticians to understand and decipher the patterns and anomalies that convey the narrative meaningfully. In the Master of Science (MS) in Statistics and Analytics - Applied Statistics program at Cleveland State University (CSU), you learn to do this and more so that you thrive in your profession.
As the demand for highly skilled statisticians and analysts grows, CSU remains committed to providing you with a graduate education that goes beyond the traditional classroom experience. In the applied statistics master's program, you can leverage the latest software to innovate and develop solutions to real-world problems, preparing you to advance in your career or pursue doctoral studies.
Why Choose the MS in Statistcs and Analytics - Applied Statistics Program at CSU?
Designed to provide you with hands-on, practical experience in statistical methods, the applied statistics track emphasizes more than just pure theory. Here are some of the many benefits of the MS in applied statistics program:
- A range of electives: Whether your passion is analyzing genetic data, statistical modeling, time series analysis or machine learning, our diverse elective options reflect the versatility of the curriculum, allowing you to choose courses that align with your personal and professional goals.
- Propel your career: Through its mix of foundational theory and electives, this degree program may help you begin or advance a career in big data in the public or private sector.
- Committed faculty: Participate in research alongside our educators as they work on cutting-edge projects. Their areas of interest include health and health care, criminology and policy research. Meet our faculty members.
- Funding opportunities: Recognizing the need for multiple funding avenues, we offer graduate assistantships and tuition grants to qualified students. Interested in learning more? We encourage you to contact the Mathematics and Statistics Department Graduate Program Director to discover available opportunities.
Program Curriculum
The Master of Science in Statistics and Analytics degree program requires 30 credit hours. Full time students can finish the degree in as little as one year. Part time students take fewer courses per semester and have a flexible degree completion timeline.
Students in the applied statistics track take seven core courses:
- Applied multivariate statistics
- Applied regression models
- Bayesian data analysis
- Design and analysis of experiments
- Probability and mathematical statistics
- Statistical consulting and programming
- Statistics for research projects
In addition, students must complete elective credits in subjects related to applied statistics to bolster their understanding and application of skills. We offer various electives, including the applied statistics exit project, during which students can work with a faculty supervisor as they read papers in technical journals, choose a research topic and write a technical report on statistics.
For a detailed overview of the applied statistics master's program, explore the catalog.
Careers with an Applied Statistics Master's Degree
Graduates utilize their skills in analysis, data visualization, communication, problem-solving and process improvement in a range of industries, from tech to health care and education to economics. Their diverse array of technical abilities meets the needs of employers who seek highly trained professionals, making them competitive candidates in the job market.
CSU graduates can expect to find myriad employment opportunities in roles such as:
- Academic researcher or professor
- Data scientist
- Econometrician
- Financial analyst
- Market research analyst
- Statistician in the private or public sector
Our program also prepares students to successfully pursue doctoral studies after earning their master’s degree.
Admissions Requirements
In addition to meeting the College of Graduate Studies requirements for admission, we expect that MS in applied statistics applicants have:
- Completed an undergraduate course in inferential statistics and a programming course.
- A demonstrated mathematical background that includes coursework in multivariate calculus and linear algebra.
- A baccalaureate degree with a minimum overall grade-point average of 3.0.
- Applicants to the applied statistics specialization should hold a bachelor's degree in mathematics, statistics, computer science, engineering, data science or other technical area.
- Scores for the GRE submitted with the application.
Applicants who don't meet the first three requirements may be admitted on a probationary basis, subject to removing deficiencies during the first year of graduate study. Those without an undergraduate or graduate course in inferential statistics must first complete STA 323 or an equivalent course in statistical methods before entry into the program.
Tuition and Financial Aid
We believe in a cost-effective, accessible education that doesn’t compromise on excellence. That’s why Cleveland State’s MS in statistics and analytics is one of the most affordable statistics programs offered in the state of Ohio.
In addition to traditional forms of aid, such as student loans and scholarships, we offer graduate assistantships and tuition grants to qualified students.
To learn more about available opportunities, please contact the Mathematics and Statistics Department Graduate Program Director. We also suggest students review our roadmap to financial aid to discover more about applying for financial assistance.
Learn More About CSU's Statistics and Analytics - Applied Statistcs Master's Program
The Master of Science in Statistics and Analytics - Applied Statistics track helps you stay ahead of industry trends in a program that evolves alongside the dynamic field of statistics and analytics. Equipped with the advanced statistical skills and practical knowledge needed to excel in various industries, you graduate with the confidence to tackle complex analytical challenges in your chosen profession.
Learn more by requesting information or contacting a program staff member directly.