Nebraska On-Campus Statistics Graduate Programs
Statistics Graduate Schools may offer a variety of programs in applied statistics and data analytics. Students could study mathematical and statistical theories and methods used to collect, organize, interpret and analyze data. They may then learn to use findings to solve problems or devise strategies in fields such as business, healthcare, engineering and demography.i
Through a combinination of classroom learning and collaborate group projects, campus statistics programs may prepare students to put theories into practice and tackle real issues in research or any number of industries.
Explore Statistics Graduate Schools and Statistics Degrees
Statistics graduate schools may award master of arts (MA), master of science (MS), graduate certificate, doctorate and PhD in statistics degrees. In addition to general programs, some schools offer statistics graduate programs as part of another department - mathematics or business for example. As a result, students might find graduate degrees in business statistics, health informatics, data engineering and other areas where statistics courses are at the heart of the curriculum.
Applicants to Statistics Graduate Schools often need some prerequisite courses in math, statistics and probability, along with a bachelors degree (or suitable masters degree) from an accredited institution. Other material such as GRE scores, a current CV, transcripts and letters of reference may be necessary as well, although each school has their own set of requirements.
Masters in Statistics Programs
The variety of on-campus masters in statistics programs is a reflection on the multiple uses of statistics, data science and data analytics.ii Each program may focus on a specific type of statistics or industry. That said, there is often some overlap. To complete their masters degree in statistics, students might have to
fulfill several requirements.
- Core Courses (e.g. numerical linear algebra, optimization, discrete mathematics, probability)
- Data Science Electives (e.g. statistical modeling, data mining, regression models)
- Advanced Scientific Programming Courses (e.g. parallel computing, software development)
- Electives (e.g. business intelligence, machine learning, geo-statistics, neuroimaging)
- Practical Component (e.g. capstone, masters research, project labs, consulting workshop)
The time it takes to complete a masters in statistics degree varies, although a full-time student might take between two and three years. Contact individual programs to learn more.
Graduate Certificates in Statistics
Some statistics graduate schools offer advanced certificates in statistics programs where students might take just a few masters-level courses. Coursework might include topics such as regression analysis, foundations of experimental design and electives. Because a graduate certificate involves fewer courses, students might complete their program in about one year. This might appeal to engineers, scientists, analysts, and other professionals who want to add onto their credentials and skills.
PhD in Statistics Programs
A PhD in Statistics is a terminal, research focused degree. In their program, students might explore many aspects of statistics and then choose one in which to fix their research. This could be technology, engineering, computer science or another area that reflects their program and school.
Doctoral research represents a unique, individual contribution to their field of study, so each student’s work may be different. A PhD program might provide an opportunity to explore ideas, seek new knowledge or apply your ideas into real scenarios.
Find Graduate Schools for Statistics
Whether you are looking for a local statistics graduate school that is walkable from your workplace, in another city, state or country, start your search right here. Use filters such as location and degree level to review paid programs. When you find a perfect statistics graduate degree for you, easily contact the statistics graduate schools on your list with the on-page forms. Take the next step now.
[i] onetonline.org/link/summary/15-2041.00 | [ii] bls.gov/ooh/math/statisticians.htm