An undergraduate major in the mathematics also provides excellent preparation for graduate studies in many areas, including actuarial sciences, computer science, economics, engineering, law, mathematics, operations research, and statistics. The major can be specialized to allow preparation for any of these goals.
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This course is for students to build up a solid mathematical foundation in order to thrive in the rapidly growing field of data science. Students will learn essential mathematical topics in data science, including linear algebra, matrix decomposition, probability, stochastic process, analysis, optimization, geometry, and algebraic topology.
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Qualified UNC Greensboro undergraduate students who are pursuing the B.A. or B.S. in Mathematics may apply for admission to the Accelerated Master's Program (AMP) and the M.A. in Mathematics program. A cumulative undergraduate GPA of at least 3.5 based on at least 30 credits earned at UNC Greensboro is required.
The typical order of math classes in high school is: Geometry. Algebra 2/Trigonometry. Pre-Calculus. Calculus.Mar 17, 2019
Math majors will study a wide breadth of mathematical topics, as most math programs have undergraduates take classes in everything from algebra to calculus to geometry. Much of this coursework occurs over a series of classes in these fields, with each one building on the previous class.Oct 7, 2020
For example, an algebra course is often a prerequisite for statistics classes so, if it's been a while since you've taken that course, you may want to refresh your algebraic skills in advance.
UNC Greensboro is... A Tier 1 National University. One of the few accredited computer science programs in the state. A High Activity Research University.
Most colleges want students to have at least 3 years of high school math, though more selective colleges prefer 4 years. Prioritize taking several of the following courses: Algebra 1. Geometry.
Physics – Physics is regarded as the most math-intensive degree path you can pursue within the sciences. Linear algebra, quantum mechanics, and engineering calculations are just a few of the core courses you'll need to take for this major.Apr 9, 2021
Except in unusual circumstances, students planning to major in statistics should complete the calculus sequence (MATH 130, 140, 150/151) before the end of the sophomore year, at the latest. Any two courses among the 300 or 400 level courses in Statistics or other applied courses in the department with prior approval.
"Statistics" is fairly broad, and when you say you want to understand it at a high level you implicate many areas of math. As Jay Verkuilen answered, you need linear algebra, probability theory, real analysis and optimization theory. Included in the last two are calculus and set theory.
A strong background in linear algebra is needed for most multivariate statistics, but is not necessary for introductory statistics. A background in Calculus is useful no matter what branch of statistics is being studied.
The discipline of computer science includes the study of algorithms and data structures, computer and network design, modeling data and information processes, and artificial intelligence.
In-state tuition 7,403 USD, Out-of-state tuition 22,562 USD (2019 – 20)University of North Carolina Greensboro / Undergraduate tuition and fees
Students will learn essential mathematical topics in data science, including linear algebra, matrix decomposition, probability, stochastic process, analysis, optimization, geometry, and algebraic topology.
The first half of a year-long sequence in algebra. Topics include basic group and ring theory: quotients and products of groups, group actions, the Sylow theorems, structure theory for finitely generated abelian groups, domains, ideals, factorization, and polynomial rings.
Capstone survey of topics including functions; calculus concepts; geometry; probability; data analysis; and discrete mathematics. Special teaching problems and procedures for secondary education topics in relation to their mathematical foundations.
General topics may include Regression, Dimension Reduction, Density Estimations, and Classification. Advanced topics may include Google PageRank algorithm, Manifold Learning, and the Mapper algorithm.
Introductory survey of differential calculus with emphasis on techniques and applications related to business and the social sciences. This course does not serve as a prerequisite for MAT 292 (Calculus II). This is a terminal course and not adequate preparation for MAT 292.
The Master of Arts in Mathematics degree has six concentrations: Actuarial Mathematics, Data Analytics, Mathematics, Mathematical Foundations of Data Science, Mathematical Statistics, and Teaching College Mathematics. The programs provide advanced training in these areas. Although it is often a terminal degree, the M.A. degree can also be viewed as a natural step towards a Ph.D. degree.
Required: 30 credit hours. The Mathematics concentration offers a thesis option, a project option and a comprehensive exam option. Each option requires 30 credit hours. At least half the work credited towards the degree must be in 600-level or above courses.