Our programs feature: + Rigorous training in statistical theory, methods, and applications. + Small classes, low students to faculty ratio. + Individual attention and individualized degree plans according to your career goals. + Practical experience: research, consulting, and internship opportunities under faculty guidance. + Faculty with active research projects with students. + Many internship opportunities in DC area. These internships may be with agencies and institutions in government, finance, health, marketing, non-governmental organization, etc. + Optional Biostatistics track for interested students. + Optional completion of a Graduate Certificate in related field while you pursue the MS degree, making you a formally certified specialist. + Financial support: partial tuition remission, teaching and research assistantships on merit basis. + Courses and resources to refresh intermediate statistics and relevant mathematical skills. More information about the Department of Mathematics and Science's Graduate Programs are at these links; + MS in Statistics, https://www.american.edu/cas/mathstat/statistics-ms/index.cfm + MS in Quantitative Analysis, https://www.american.edu/cas/mathstat/quantitative/ + MS in Data Science, https://www.american.edu/programs/shared/data-science/index.cfm + MS in Mathematics of Information and Security, https://www.american.edu/cas/mathstat/ms/

Information about the Department of Mathematics and Statistics' certificate programs are at the following links: +Applied Statistics Grad Certificate, https://www.american.edu/cas/mathstat/statistics-ms/applied-statistics.cfm +Data Science Grad Certificate, https://www.american.edu/cas/mathstat/ms/data-science-certificate.cfm

The program consists of 32 units (usually 4 semesters), some of which may be offered online. Students must also pass a Master's Comprehensive Exam for completion of the program.

Department Research interests include Mathematical Physics, Number Theory, Statistics, BioStatistics, Differential Equations, Representation theory.

Written qualifying exams in the first year. The program is not online. Students must complete a core sequence in three areas chosen from: Algebra, Analysis, Differential Equations or Dynamical Systems, Probability and Statistics, or Scientific Computing and Numerical Analysis.

Applicants are expected to have completed calculus up to multivariable calculus, linear algebra and an undergraduate statistics course. Students may be admitted provisionally if they have had all of the listed courses above but are lacking Linear Algebra.

MS in Applied Statistics, MS in Applied Math, and MS in Pure Math are evening programs, classes meet once per week 6-9:15 pm. Students can enroll for in-person or online sections of each class. These programs consist of 12 courses and can be completed in two years by taking two courses per quarter. Students need to pass two comprehensive exams to graduate. For international students: these are STEM-designated programs. MA in Math Education is a weekend program, it consists of 12 courses and can be finished in six quarters, including summer. MS in Math for Teaching consists of 17 courses (14 weekend and 3 evening) and can be completed in two and a half years.

Courses in this program are available to both online students and students at the ESU campus. The program can be completed entirely online.

Courses in these programs are available to both online students and students at the ESU campus. The program can be completed entirely online.

Our Masters degree is 10 courses (30 credits) including 2 required courses and 8 electives, with some distribution requirements. A capstone experience is required to complete the degree.

Both certificates consist of a program of 4 courses (12 credits) each.

For information about the Masters along the way, Ph.D., MS, and AMST programs contact: mathgraduate@fau.edu Prof. Hongwei Long, Graduate Director Department of Mathematical Sciences Florida Atlantic University 777 Glades Road Boca Raton, FL 33431

Requirements to be Admitted to Candidacy The student must complete the following courses. Introductory Analysis 1 and 2 (MAA 5228 and 5229) Introductory Abstract Algebra 1 and 2 (MAS 5311 and 5312) Linear Algebra (MAS 5145) Multivariable Analysis (MAA 5105). Satisfy one of the following 1. Pass two of the three qualifying exams (Algebra, Analysis, Probability & Statistics) within five semesters (not counting the summer terms) of admission to doctoral study. Then form a supervisory committee. 2. Complete the following steps within six semesters (not counting the summer terms) of admission to doctoral study. i) Earn a pass on one exam and a constructive attempt on a different exam within four semesters (not counting the summer terms) of admission to doctoral study. ii) Select a prospective research advisor, and complete two courses at the 6000-level, selected by the prospective research advisor and approved by the departmental graduate committee. These courses will need to be passed with a combined GPA of at least 3.5. Ph.D. Preliminary Exam After admission to candidacy, and before submission of the Ph.D. thesis, students must pass a preliminary exam (Prelim). Main purpose of the Preliminary Exam: The purpose of the Prelim is to test the student's in-depth understanding of an area in which he or she will develop the dissertation research. The exam is intended to assess the student's mathematical maturity and knowledge at a high level that goes beyond any particular course. The candidate should demonstrate the maturity and expertise required for carrying out dissertation research. For more information: Prof. Hongwei Long, Graduate Director Department of Mathematical Sciences Florida Atlantic University mathgraduate@fau.edu

Cyber Security Courses by Track CS Cyber Security Courses (Select three from this list and one more from this list or the list of Math courses.) Computer Data Security CIS 6370 3 Distributed Systems Security CIS 6375 3 Secret Sharing Protocols COT 6116 3 Cyber Security: Measurement and Data Analysis CTS 6319 3 Practical Aspects of Modern Cryptography CIS 5371 3 Math Cyber Security Courses (Select three from this list and one more from this list or the list of CS courses.) Introduction to Cryptology and Information Security MAD 5474 3 Cryptanalysis MAD 6478 3 Coding Theory MAD 6607 3 Number Theory and Cryptography MAS 6217 3 * As with all degree programs, the authoritative source for the degree requirements is the University Catalog that was in effect for the academic year in which the student entered the University. The information on this page does not supersede the Catalog.

Required course: real analysis, algebra, topology. No requirement on qualifying exams.

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Core courses required: real analysis, algebra, topology, measure theory, applied math. Structure of qualifying exams: The qualifying exams are offered twice a year: once in August, before the beginning of the fall semester, and once in January, before the beginning of the spring semester. A student may take each exam at most twice. Students have four total opportunities to pass the exams over the course of their first two years (first year August, first year January, second year August and second year January). students select exams from the four designated areas: Algebra, analysis, applied math, and topology, with each area worth 30 points. To pass the qualifying exam, a student must achieve a combined total of 50 points or higher from the three highest-scoring areas.

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Overview of the Program In general, a student in the Master's program will fall into one of three categories: wishing to work in the private sector, wishing to teach mathematics in a community or four-year college, or wishing to continue into a Ph.D. program in mathematics. In order to complete a Master's degree, the student must pass the Qualifying Exam, fulfill the coursework requirement, form a Supervisory Committee and file the Program of Study, and lastly, pass the Master's Final Examination. Qualifying Examination QE I [Qualifying Exam System Information] and [QE I Archives] The first part of the qualifying exam, QE I, consists of subject exams, currently offered in four areas. Algebra (based on MATH 730-731) Analysis (based on MATH 721-722-Complex) Applied Math (based on Math 715-716) Geometry/Topology (based on MATH 770-771) Master's students are asked to attempt at least three of these exams upon arrival at Kansas State. The results are used to help determined appropriate placement in graduate courses and teaching assignments. A sufficiently strong performance (generally four of six problems solved) can also be used to satisfy the Final Examination requirement (see below). Program of Study and Coursework The Program of Study must be approved by the student's Supervisory Committee, the Department Head, and the Dean of the Graduate School. The student must earn a minimum of 30 credit hours of graduate credit (courses numbered at the 700 level or above). The student must maintain at least a 3.0 GPA in the courses listed on the Program of Study. Furthermore, the student must earn a grade of A or B in three-fourths of these courses, with no worse than a C grade in the remaining courses. There are three options for fulfilling the Graduate School's final examination requirement for Master's students. Qualifying Exam Option/Master's Thesis/Master's Report Students are expected to complete the M.S. Program within three years.

The student is required to complete a minimum of 90 hours of graduate credit (courses numbered at the 700 level or above), with at least 60% of the credit hours in courses numbered 800 or higher. Students entering with a Master's Degree from an accredited program may transfer up to 30 hours of that degree toward the PhD coursework requirement. The above-mentioned 90 credit hours must contain a minimum of 30 credit hours of MATH 999 (PhD research), and at least 24 credit hours of coursework (exclusive of MATH 999 courses) in the Department of Mathematics. Eligibility to enroll in MATH 999 is restricted to students having passed the Specialty Exam (see below). This coursework must be completed according to the Graduate School's policy regarding grades and minimum GPA. Qualifying Examination QE I The first part of the qualifying exam, QE I, consists of subject exams, currently offered in four areas. Algebra (based on MATH 730-731) Analysis (based on MATH 721-722-Complex) Applied Math (based on Math 715-716) Geometry/Topology (based on MATH 770-771) Students are asked to attempt at least three of these exams upon arrival at Kansas State. The results are used to help determined appropriate placement in graduate courses and teaching assignments. Students must pass exams in three subjects. Two are to be passed by the June following the student's first year of study; a third must be passed by the following August. Qualifying Exam QE II The second part of the Qualifying Exam system consists of written or oral exams in two subjects, a major subject and a minor subject. The student, along with his or her dissertation committee, designs a syllabus based on material from 800-level courses or more advanced topics. The major subject portion of the syllabus must cover at least two semesters at this level; the minor portion at least one semester. The student's advisor and dissertation committee must approve the format (oral, written, or combined) of the exams.

The Mathematics MA degree requires 30 credits of courses, among which must be the 3 courses MAT751 Theory of Functions of a Real Variable, MAT753 Theory of Functions of a Complex Variable, MAT616 Algebra. Also required are 3 Comprehensive Exams, which cover material from the 3 required courses. Research opportunities are available but not required.

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At least 20 credits of courses are required, and the following courses are required: MAT664 Financial Mathematics, MAT681 Probability, MAT764 Advanced Financial Mathematics and Applications, MAT781 Advanced Probability and Applications, MAT782 Mathematical Statistics.

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An MS can be achieved through a thesis, report, or coursework. Each option requires completion of a concentration's core courses. THESIS Requires a research thesis prepared under advisor supervision. The thesis describes a research investigation and its results. The research-topic scope enables a full-time student to complete the master's degree requirements in 12 months, or three semesters following coursework by regularly scheduling graduate research credits. The minimum requirements are as follows: Coursework (minimum)?20 Credits Thesis research?6-10 Credits Total (minimum)?30 Credits Distribution of Coursework Credit 5000-6000 series (minimum)?12 Credits 3000-4000 (maximum)?12 Credits Programs may have stricter requirements and may require more than the minimum number of credits listed here. REPORT This requires a report that describes an independent-study project results. The research topic scope should enable a full-time student to complete the master?s degree requirements in twelve months or three semesters following the completion of coursework by regularly scheduling graduate research credits. Of the minimum 30 total credits, at least 24 must be earned in coursework other than the project: Total Credit Requirements Coursework (minimum)?24 Credits Report?2-6 Credits Total (minimum)?30 Credits Distribution of Coursework Credit 5000-6000 series (minimum)?12 Credits 3000-4000 (maximum)?12 Credits Programs may have stricter requirements and may require more than the minimum number of credits listed here. COURSEWORK Requires 30 credits, minimum, earned through coursework. Limited research credits may be used with advisor, department, and Graduate School approval. See degree requirements for more information. The program may require an oral or written examination before conferring the degree and may require more than the minimum credits listed here: Distribution of Coursework Credit 5000-6000 series (minimum)?18 Credits 3000-4000 (maximum)?12 Credits

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Required courses: ?Computational and Applied Mathematics: Core courses: ?MA5501 Theoretical Numerical Analysis ?MA5510 ODEs ?MA5565 PDEs ?MA5627 Numerical Linear Algebra ?MA5629 Numerical PDEs Elective courses (choose two): ?MA5401 Real Analysis ?MA5630 Numerical Optimization ?MA5580 Topics in Applied Mathematics ?MA6500 Advanced Topics in Applied Mathematics ?MA6600 Advanced Topics in Computational Mathematics ?Discrete Mathematics Core courses: ?MA5221 Graph Theory ?MA5222 Design Theory ?MA5231 Error-Correcting Codes ?MA5301 Algebra I Elective courses (choose two): ?MA5201 Combinatorial Algorithms ?MA5280 Topics in Applied Combinatorics ?MA5302 Algebra II ?MA5320 Commutative Algebra ?MA5360 Number Theory ?MA6222 Advanced Topics in Design Theory ?MA6231 Advanced Topics in Coding Theory ?MA6280 Advanced Topics in Combinatorics, Algebra, or Number Theory ?MA6300 Advanced Topics in Algebra ?statistics Core courses: ?MA5711 Mathematical Statistics I ?MA5712 Mathematical Statistics II ?MA5731 Linear Models ?MA5741 Multivariate Statistical Elective courses (choose three): ?MA5702 Statistical Consulting ?MA5730 Nonparametric Statistics ?MA5732 Generalized Linear Models ?MA5750 Statistical Genetics ?MA5761 Computational Statistics ?MA5770 Bayesian Statistics ?MA5790 Predictive Modeling ?MA5791 Categorical Data Analysis ?MA6700 Advanced Topics in Statistics ?MA6701 Probability Qualifying exams: ?Pass the qualifying exams within three regular semesters (excluding summer semester) ?Subjects for different concentrations: Computational and Applied Mathematics: Linear Algebra and Realysis Discrete Mathematics: Abstract Algebra and Combinatorics Statistics: Linear Algebra and Mathematical Statistics Some undergraudate level courses will be provided to fill in gaps in undergradaute training.

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Applied Statistics?Who is this Certificate For? Qualified professionals wanting to build on their skill set and possibly create a foundation for a graduate degree. Degree-seeking students can add a concentration that gives them leverage in their career path. What You Need to Know Graduate Certificate Applied Statistics students acquire skills that apply statistical techniques to other disciplines, including forestry, economics, social sciences, and psychology. It empowers students to choose and apply statistical methods; draw appropriate conclusions based on statistical analysis; use current statistical software to solve realistic problems; and work with real data. Admissions Students must take one core course and two electives. Accelerated Option Michigan Tech Bachelor's + 1 Semester = Accelerated Graduate Certificate Current Michigan Tech undergraduates or recent alumni get started right away! Our accelerated graduate certificates are a fast, affordable way to add graduate credentials to your bachelor's degree in as little as one semester. Be more marketable in your industry or prepare for your master's degree. Online Option Online learning at Michigan Tech provides greater flexibility and can fit around your busy schedule wherever you are. Upgrade or change your career path. . Credits A minimum of 9 total credits. These credits can be applied toward a graduate degree at Michigan Tech. . Scientific Computing?Who is this certificate for? Students in the graduate certificate for Scientific Computing acquire the skills to approximate solutions to mathematical models using computers, empowering them to address real-world problems in science, engineering, health, and social domains. Run your simulations; change the world! Admissions To enroll in this certificate program, students must have a bachelor's degree in any STEM discipline. Accelerated Option Be more marketable in your industry or prepare for your master's degree in as little as one semester.

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The Department of Mathematical Sciences offers a wide range of technical and research degrees and is a recognized leader of research in the mathematical sciences. The department provides a variety of opportunities for innovative instruction and cooperative research. With more than 28 faculty members and nearly 100 graduate students, the department is large enough to support a robust and research-active faculty, but small enough to allow faculty and graduate students an intimate atmosphere for the easy exchange of ideas. We are a community of scholars who aim to empower human beings to think quantitatively and generate new knowledge in the mathematical sciences.