North Dakota Mathematics and Statistics Masters Programs & Graduate Schools
Looking for a Graduate School with Mathematics and Statistics Masters Programs? Masters in Mathematics and Statistics Degrees offer you the opportunity to study a variety of methods for applying math and numerical analysis to various fields such as finance, insurance, business, pharma and health care, science, education, and engineering.[i] If you would benefit from a social learning atmosphere, finding an on-campus graduate program is worth considering.
Mathematics and Statistics Masters On-campus Programs: Basics
Mathematics and Statistics Masters programs usually involve 2 years of full time study. Graduate school is a great opportunity to seek out advanced knowledge in an area that might help focus your professional career; a master’s degree and sometimes a doctorate degree are required for certain mathematician[ii] and statistician[iii] or operations research analyst[iv] positions.
In terms of admission requirements, this may be dependent on your program and graduate school; a bachelor’s degree is the typical requirement for a master’s but whether this needs to be in a similar or related field may vary. If you aspire to teach math at the university level, make sure to choose the master’s program that supports this journey. Typically, a thesis is involved, and an internship may be required in addition to coursework.
DID YOU KNOW? Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes[v].
Potential Features of On-campus Mathematics and Statistics Programs
On-campus study means interaction and access to the research and computer labs. If your Mathematics and Statistics Master’s degree requires a digital project, it may be to your advantage to have these facilities within reach. Furthermore, in-person learning means you do get to meet your
classmates and professors in real-time, and get hands-on learning experience. While it is true that textbooks are a good source of knowledge, seeing a live demonstration and engaging in stimulating discussion is also a potential boost to your educational experience.
GradSchools.com makes it easy to find graduate schools with master’s degree programs in math and statistics; search sponsored listings by location! Use the city, state or country tabs once you have chosen the type of program that aligns with your ambitions. Then, visit the school site using the orange tab or select the ‘request info’ tab to have your questions answered. Some of these listings might include: Master of Science in Mathematics (thesis or non-thesis), Master in Digital Solutions Development, Master of Science in Analytics, Master in Pharmacology, and Masters in Cyber Systems. You will find more choices by subject.
Types of Mathematics and Statistics Masters On-campus Programs
With the fast-growing trend to use statistical analysis to make decisions in healthcare, policy and business, and the increase in available digital data from the Internet, new areas are opening up for the statisticians and mathematical science occupations.[vi] Choose from a variety of Mathematics and Statistics Masters programs depending on your area of interest; most courses require grad students to research complex math equations and use different numerical and quantitative methods to solve math problems. Courses also teach students how to apply math theories to practical, real-life problems in the workplace.
- Actuarial Science and Financial Engineering (the application of math to finance)
- Mathematics (applied and pure mathematics)
- Statistics and Data Analysis (computational science, computer science, data mining, applied statistics)
FACT: Scientific computation is most often studied through an applied mathematics or computer science program, or within a standard mathematics, sciences, or engineering program[vii].
Education in advanced mathematics programs may involve learning topics such as[viii]:
- Algebra and Number Theory
- Analysis and Functional Analysis
- Applied Mathematics
- Computational Mathematics
- Geometry/Geometric Analysis
- Mathematical Statistics and Probability
Education in advanced statistics programs may involve learning topics such as[ix]:
- Applied Mathematics
- Business Statistics
- Mathematical Statistics and Probability
Accreditation & Graduate Schools
Not sure what to look for in a graduate school or a master’s program in math and statistics? Accreditation is quality control and may be awarded at the institutional or programmatic levels. ABET is the agency that accredits “college and university programs in the disciplines of applied science, computing, engineering, and engineering technology at the associate, bachelor, and master degree levels.”[x] In terms of graduate schools themselves, accreditation is typically national or regional.
Take the Next Step
Whether you are interested in data analytics, applied mathematical and statistical modeling, biostatistics or cloud computing, these types of programs require distinct skills. Whether your goal is to learn to apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other professional spheres, a graduate degree is important; in fact over 38 % of mathematicians in industry have master’s degree and 33% a Ph.D.[xi] This compares to 48% of statisticians have a master’s degree and 20% a Ph.D.[xii] With these numbers stacking up, take that next step; browse sponsored listings to find a graduate school for your Mathematics and Statistics Master’s degree.
sources: [i] en.wikipedia.org/wiki/Mathematics |[ii] bls.gov/ooh/math/mathematicians.htm |[iii] bls.gov/ooh/math/statisticians.htm |[iv] bls.gov/ooh/math/operations-research-analysts.htm |[v] en.wikipedia.org/wiki/Data_mining |[vi] bls.gov/ooh/math/statisticians.htm |[vii]en.wikipedia.org/wiki/Computational_science |[viii] onetonline.org/link/summary/15-2021.00 |[ix] onetonline.org/link/stem/15-2041.00#7[x] abet.org/about-abet/ | [xi] onetonline.org/link/summary/15-2021.00 | [xii] onetonline.org/link/summary/15-2041.00 | other sources: en.wikipedia.org/wiki/Data_analysis | en.wikipedia.org/wiki/Mathematics | en.wikipedia.org/wiki/Data_mining | en.wikipedia.org/wiki/Applied_mathematics | en.wikipedia.org/wiki/Computational_science