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Masters Degrees in Mathematics, USA

We have 42 Masters Degrees in Mathematics, USA

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A minimum GPA of 3.0 in all undergraduate coursework in mathematics. A letter of intent written by the applicant expressing professional goals as applied to the program. Read more
• A minimum GPA of 3.0 in all undergraduate coursework in mathematics.
• A letter of intent written by the applicant expressing professional goals as applied to the program.
• Submission of three letters of recommendation, using the required recommendation form. Two letters must be from mathematics faculty with whom the applicant has taken courses.
• Resume or curriculum vitae.

E-mail:
Phone: 315-267-2165

Visit http://www.potsdam.edu/graduate to view the full application checklist and online application

The Master of Arts program in Mathematics is designed to develop the student’s ability to work independently and to obtain basic knowledge in algebra, real and complex variables, and topology so that mathematics literature can be read with understanding and enjoyment. The successful completion of this program should prepare a student to enter a second-year doctoral program in mathematics, to begin a career as an industrial mathematician or as a faculty member at a junior or community college. Program start dates: Fall or Spring (in certain cases).

Required Program Courses
Minimum of 30 credit hours
MATH 661, Topology I ...................................................3 credits
MATH 671, Abstract Algebra I ..........................................3 credits
MATH 672, Abstract Algebra II .........................................3 credits
MATH 681, Complex Variables I .......................................3 credits
MATH 691, Real Variables I .............................................3 credits
MATH 698, Seminar .....................................................3 credits

One of the following:

MATH 662, Topology II ...............................................3 credits
MATH 682, Complex Variables II ...................................3 credits
MATH 692, Real Variables II ........................................3 credits
Mathematics Electives ..................................................9 credits

Success Stories

SUNY Potsdam Mathematics graduates are employed by com-panies such as Aetna, AT&T, IBM, General Electric, Kodak, the National Security Agency and Hewlett Packard. Others have received assistantships and fellowships at reputable universities, and many have earned Ph.D. degrees in mathematics or statistics.

Uniqueness of the Program

The MA Mathematics program develops rigorous mathematical thinking and offers a spectrum of well-taught courses in pure and theoretical mathematics.

Testimonials

"I was accepted to all but three Ph.D. programs I applied to. I feel very fortunate to be in this position, [with] so many great offers from excellent schools. I would recommend a stats program to any BA/MA student interested in furthering their education through a degree that’s not math as they’ll be highly qualified and prepared. That stance has only been further confirmed as I talk to faculty in different statistics departments." — Justin J. Raimondi, Class of 2014

"As a somewhat sheltered student through high school, I found that the mathematics faculty at SUNY Potsdam nurtured me carefully, providing the support I needed to develop confidence in the content area, and to deepen my love of mathematics. After graduating from the BA/MA program, I have taught successfully at the high school and college levels for nearly 30 years." —Donald C. Straight, Class of 1988

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The M.A. in Mathematics at West Chester University is a thirty-three credit master’s program, eighteen credits of core courses and fifteen credits of electives, which offers great flexibility. Read more
The M.A. in Mathematics at West Chester University is a thirty-three credit master’s program, eighteen credits of core courses and fifteen credits of electives, which offers great flexibility. Elective courses may be in mathematics education, statistics, computer science, pure mathematics, applied and computational mathematics, actuarial science, business, and others. By properly selecting their electives, our M.A. candidates may train for work in a large variety of fields, including, but not limited to, actuarial science, computer science, operations research, biomathematics, cryptography, teaching in a high school or a two-year college, research, economics, environmental mathematics, geophysical mathematics, air traffic control operations, photogrammetry, and many more. Upon completion of the M.A. in Mathematics, students are also well prepared to pursue a doctoral program in mathematics.

Curriculum

Required modules:

MAT 515 Algebra I
MAT 516 Algebra II
MAT 545 Real Analysis I
MAT 546 Real Analysis II
MAT 532 Geometry I
STA 505 Mathematical Statistics I

Electives:

A student may choose from among 500-level MAT course offerings, as well as MTE 507, MTE 508, MTE 512, and MTE 604. A student may select CSC or STA courses with approval of their advisor.

Capstone Experience:

A student may choose one of two different capstone experiences:

Thesis - Student selects MAT 609 and MAT 610, which replace 6 credits of electives.

Oral Comprehensive Exam in 3 different subject areas.

For more detailed information about the modules taught on this course, please visit the website:

http://catalog.wcupa.edu/graduate/sciences-mathematics/mathematics/#coursestext

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The M.S. in Applied and Computational Mathematics program is designed to prepare students to join the workforce as a consulting mathematician or to pursue doctoral study in computational and industrial mathematics or other computationally-intensive field of study. Read more
The M.S. in Applied and Computational Mathematics program is designed to prepare students to join the workforce as a consulting mathematician or to pursue doctoral study in computational and industrial mathematics or other computationally-intensive field of study. 

Distinctive features include:

• Project-oriented approach in all courses - real-world industrial problems motivate coursework
• Team problem-solving practica emulate an industrial microcosm in which undergrads, grads, faculty, and industrial partners work together to study real-world problems
• Dual emphasis is placed on computational mathematics in the study of all real-world projects in each course of the curriculum

Students who complete the proposed program will:

• Acquire advanced knowledge of a wide variety of topics that span the realm of applied mathematics, including differential equations, discrete mathematics, probabilistic modelling, optimisation and statistical analysis. 
• Become adept at employing all steps of the mathematical modelling process in the analysis of real-world phenomena.
• Acquire expertise in using various forms of technology and in using, modifying, and creating numerical algorithms used in the analysis of real-world phenomena,
• Develop the valuable intuition of using the right tool for the right job.

Curriculum

Required modules:

MAT 500 Fundamentals of Applied Mathematics
MAT 548 Industrial Mathematics - Continuous Models
MAT 549 Industrial Mathematics - Discrete Models
MAT 552 Operations Research
MAT 553 Stochastic Modelling
MAT 554 Scientific Computing
MAT 555 Industrial Practicum - Continuous Models
STA 505 Mathematical Statistics I
MAT 556 Industrial Practicum - Discrete Models
STA 511 Intro Stat Computing & Data Management

Electives:

One three-credit elective must be chosen from one of the following

MAT 514 Theory Of Numbers
MAT 515 Algebra I
MAT 516 Algebra II
MAT 532 Geometry I
MAT 533 Geometry II
MAT 535 Topology
MAT 545 Real Analysis I
MAT 546 Real Analysis II
MAT 575 Complex Analysis I

An additional three credit elective must be chosen from any 500-level mathematics or statistics course not completed from the above list.

Collaborators and Local Industry

Representatives from the private sector consisting of mathematicians and scientists from large companies such as Vanguard, and PrimePay; employees of up-and-coming software companies such as iPipeline; and representatives of small privately-owned consulting firms and hedge fund companies, such as Wagner Associates and TFS Capital were consulted in the creation of this program.  We are continually expanding our network of collaborators within the private sector, with our newest collaborator being Stroud Preserve in West Chester.

Vastly different types of mathematical problems are studied by the members of this group.  Many have agreed to contribute to this M.S. program by way of delivering colloquium talks about their experiences in industry, and by creating and investigating real-world problems in our practicum courses.

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A total of 30 hours of graduate work is required to obtain a master’s degree in mathematics. Candidates for the master’s degree may choose one of two plans. Read more

Degree Plans

A total of 30 hours of graduate work is required to obtain a master’s degree in mathematics. Candidates for the master’s degree may choose one of two plans:

Plan I requires successful completion of 24 semester hours of course work, plus a thesis supervised by a graduate faculty in mathematics. Students completing this plan will enroll in 6 hours of MATH 599: Thesis Research. A copy of your thesis or project must be available to each committee member at least two weeks prior to the presentation.

Plan II requires no thesis, but 27 semester hours of courses plus 3 hours of research (MATH 598: Non-Thesis Project) devoted to a project supervised by a member of the graduate faculty in mathematics. A copy of the master’s degree approved project or thesis must be provided to mathematics department.

There is also a one-year or three-semester master’s degree program. The graduate program director can provide further information.

Concentrations

Candidates for the master’s degree in mathematics can specialize in pure or applied mathematics, mathematics education, or mathematics finance.

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The ideas of applied mathematics pervade several applications in a variety of businesses and industries as well as government. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. Read more

Program overview

The ideas of applied mathematics pervade several applications in a variety of businesses and industries as well as government. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. This includes applications of mathematics to problems in management science, biology, portfolio planning, facilities planning, control of dynamic systems, and design of composite materials. The goal is to find computable solutions to real-world problems arising from these types of situations.

The master of science degree in applied and computational mathematics provides students with the capability to apply mathematical models and methods to study various problems that arise in industry and business, with an emphasis on developing computable solutions that can be implemented. The program offers options in discrete mathematics, dynamical systems, and scientific computing. Students complete a thesis, which includes the presentation of original ideas and solutions to a specific mathematical problem. The proposal for the thesis work and the results must be presented and defended before the advisory committee.

Curriculum

Several options available for course sequence:
-Discrete mathematics option
-Dynamical systems option
-Scientific computing option

See website for individual module details.

Other entry requirements

-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit a personal statement of educational objectives.
-Have an undergraduate cumulative GPA of 3.0 or higher.
-Submit two letters of recommendation, and complete a graduate application.
-International applicants whose primary language is not English must submit scores from the Test of English as a Foreign Language (TOEFL). A minimum score of 550 (paper-based) or 79-80 (Internet-based) is required. International English Language Testing System (IELTS) scores are accepted in place of the TOEFL exam. Minimum scores vary; however, the absolute minimum score required for unconditional acceptance is 6.5. For additional information about the IELTS, please visit http://www.ielts.org. Those who cannot take the TOEFL will be required to take the Michigan Test of English Proficiency at RIT and obtain a score of 80 or higher.
-Although Graduate Record Examination (GRE) scores are not required, submitting them may enhance a candidate's acceptance into the program.
-A student may also be granted conditional admission and be required to complete bridge courses selected from among RIT’s existing undergraduate courses, as prescribed by the student’s adviser. Until these requirements are met, the candidate is considered a nonmatriculated student. The graduate program director evaluates the student’s qualifications to determine eligibility for conditional and provisional admission.

Additional information

Student’s advisory committee:
Upon admission to the program, the student chooses an adviser and forms an advisory committee. This committee oversees the academic aspects of the student’s program, including the selection of a concentration and appropriate courses to fulfill the program’s requirements.

Cooperative education:
Cooperative education enables students to alternate periods of study on campus with periods of full-time, paid professional employment. Students may pursue a co-op position after their first semester. Co-op is optional for this program.

Part-time study:
The program is ideal for practicing professionals who are interested in applying mathematical methods in their work and enhancing their career options. Most courses are scheduled in the late afternoon or early evening. The program may normally be completed in two years of part-time study.

Nonmatriculated students:
A student with a bachelor’s degree from an approved undergraduate institution, and with the background necessary for specific courses, may take graduate courses as a nonmatriculated student with the permission of the graduate program director and the course instructor. Courses taken for credit may be applied toward the master’s degree if the student is formally admitted to the program at a later date. However, the number of credit hours that may be transferred into the program from courses taken at RIT is limited for nonmatriculated students.

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From Harvard trained faculty, you'll learn new strategies that will dramatically improve your ability to teach middle and high school students the math skills needed to succeed in life, work, and academia. Read more
From Harvard trained faculty, you'll learn new strategies that will dramatically improve your ability to teach middle and high school students the math skills needed to succeed in life, work, and academia.

KEY LEARNING OUTCOMES

Through the master's degree field in mathematics for teaching you:
-Build deeper knowledge of mathematics content, with a particular focus on middle and high school math classrooms.
-Learn tactics that can improve student motivation through interactive problem-solving activities.
-Develop an enhanced understanding of what it means to learn math and where mathematical misconceptions and student confusion can occur.

PROGRAM OVERVIEW

The degree includes nine courses and a thesis, or 11 courses and a capstone, with at least four courses taken on campus.

-Get started. You begin by completing three admission courses from the program curriculum. This is your opportunity to demonstrate your commitment and ability to perform well as a Harvard student.
-Apply to the program. While you are completing your third admission course, you submit your application. We have application periods in the fall, spring, and summer.
-Continue your studies, online and on campus. As you progress through the program, you choose from courses offered on campus or online, in the fall, spring, or summer. To fully experience Harvard, you are required to take at least four courses on campus as part of your degree. Short, intensive on-campus options are available in the summer.
-Complete a thesis or a capstone. If you choose the thesis track, you work independently with a thesis director on in-depth research topic related to your professional goals. You'll emerge with a solid understanding of how educational research is executed and communicated, producing publishable quality results. For the capstone track, you'll work in classroom setting with fellow master's candidates to investigate a variety of approaches to teaching, with the goal of helping you develop fresh, innovative approaches to communicating mathematics in the classroom.
-Graduate with your Harvard degree. You participate in the annual Harvard Commencement, receiving your Harvard University degree: Master of Liberal Arts (ALM) in extension studies, field: Mathematics for Teaching.

COST

Affordability is core to our mission. Our 2016–17 graduate tuition is $2,550 per course; the total tuition cost of earning the graduate degree is approximately $25,500 to 30,600.

FINANCIAL SERVICES

The Student Financial Services staff can assist you in identifying funds that will help you meet the costs of your education. You can find more information here: http://www.extension.harvard.edu/tuition-enrollment/financial-aid

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The practical application of mathematics is a cornerstone of industry, business, research, and government services. Ideal candidates for the MS in Applied Mathematics program have completed a calculus sequence, an introductory course in linear algebra, ordinary differential equations, and probability and statistics. Read more
The practical application of mathematics is a cornerstone of industry, business, research, and government services.

Ideal candidates for the MS in Applied Mathematics program have completed a calculus sequence, an introductory course in linear algebra, ordinary differential equations, and probability and statistics. Computer programming skill is also required.

-Core courses include deterministic models in operations research, mathematical statistics, and analysis for applied mathematics.
-Choose from a broad range of electives such as complex variables, applied regression analysis, applied statistical methods, nonlinear programming models, advanced simulation, and more.
-Completion requires a minimum of 27 credits of coursework in addition completing a thesis or an internship.
-Our faculty members will help you find the most appropriate internship. Many graduates have accepted full-time employment with their internship companies after graduation.

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Many master’s candidates already teach in a secondary school but wish to improve their instructional abilities. If this describes you, this program will prepare you well to serve as a resource teacher, as a coordinator, or in another leadership role in an elementary or middle school mathematics program. Read more
Many master’s candidates already teach in a secondary school but wish to improve their instructional abilities. If this describes you, this program will prepare you well to serve as a resource teacher, as a coordinator, or in another leadership role in an elementary or middle school mathematics program. All courses are offered in the evenings or during the summer.

MEETS CREDIT REQUIREMENTS FOR INSTRUCTIONAL LEVEL II CERTIFICATION

This unique program, offered in highly convenient formats, meets the credit requirements for Instructional Level II certification. However, it does not provide initial certification or grades 7–12 certification for those who hold a K-6 Level I certificate.

HYBRID FORMAT BLENDS CLASSROOM AND ONLINE INSTRUCTION

The Elementary/Middle School Mathematics Education MEd track is offered in a hybrid format combining online and classroom instruction.

MED IN MATHEMATICS EDUCATION

-Gain confidence and invaluable insight into practical ways to teach math that are both appealing and effective for your students.
-Take advantage of the best and most current research for effective classroom practices at the elementary and middle school levels.
-Explore the real day-to-day challenges of teaching. Learn how to work with diverse learners and test standards and incorporate technology into the classroom.
-Learn from faculty members who have experience teaching at the K-12 level and who understand the joys and challenges of teaching.

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Many master’s candidates already teach in a secondary school, but wish to improve their instructional abilities. If this describes you, this program will prepare you well to serve as a resource teacher, as a coordinator, or in another leadership role in an elementary or middle school mathematics program. Read more
Many master’s candidates already teach in a secondary school, but wish to improve their instructional abilities. If this describes you, this program will prepare you well to serve as a resource teacher, as a coordinator, or in another leadership role in an elementary or middle school mathematics program. All courses are offered in the evenings or during the summer.

MEETS CREDIT REQUIREMENTS FOR INSTRUCTIONAL LEVEL II CERTIFICATION

This unique program, offered in highly convenient formats, meets the credit requirements for Instructional Level II certification. However, it does not provide initial certification or grades 7–12 certification for those who hold a K-6 Level I certificate.

CONVENIENT ONLINE FORMAT

The MEd in Mathematics Education, Secondary Track is offered entirely online.

MED IN MATHEMATICS EDUCATION

-Gain confidence and invaluable insight into practical ways to teach math that are both appealing and effective for your students.
-Take advantage of the best and most current research for effective classroom practices at the secondary school levels.
-Explore the real day-to-day challenges of teaching. Learn how to work with diverse learners and test standards and incorporate technology into the classroom.
-Learn from faculty members who have experience teaching at the K-12 level and who understand the joys and challenges of teaching.

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The Department of Mathematical Sciences is committed to the idea that pure and applied mathematics are two faces of the same subject. Read more
The Department of Mathematical Sciences is committed to the idea that pure and applied mathematics are two faces of the same subject. The department offers a lively research atmosphere; faculty research areas include algebra, analysis, combinatorics, geometry/topology, number theory, and probability and statistics. Students are encouraged to take advantage of the broad range of courses and specializations available.

The department is noted for its method of graduate education. In first-year courses, the emphasis is on training the student to do mathematics in depth. Many students report that these courses are the formative experiences of their professional lives.

The MA program is intended to give the student a solid professional basis either for proceeding to the PhD program or for work in government, industry or teaching at the community college level.

The PhD degree prepares a student for university or college teaching and for higher-level employment in government and industry. Entering students having substantial graduate-level training may enter the PhD program, skipping the MA.

Graduates of the program typically find employment as teachers, those with the MA degree at community college level and those with the PhD degree at university and college level, while significant number also find employment with government and industry as statisticians, data analysts, consultants, researchers and programmers.

Recent doctoral graduate placements include: Mathematical/Statistical Engineer at Corning Incorporated, Postdoctoral Biostatistician at Janssen Research and Development, Assistant Professor at Alfred University, Risk Analyst for JP Morgan Chase, Assistant Professor at Juniata College, Assistant Professor at Ohio State University.

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- Three letters of recommendation
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

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The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Read more

Program overview

The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Professionals in these fields use their strengths in business, modeling, and data analysis to understand and use complex financial models, often involving differential and stochastic calculus.

The program addresses a vital and growing career field, reaching beyond banking and finance. Typical job titles include risk analyst, research associate, quantitative analyst, quantitative structured credit analyst, credit risk analyst, quantitative investment analyst, quantitative strategist, data analyst, senior data analyst, fixed income quantitative analyst, and financial engineer. Computational finance is an excellent career option for technically-oriented professionals in the fields of business, math, engineering, economics, statistics, and computer science. Programming knowledge is highly preferred.

Plan of study

The curriculum offers an integration of finance, mathematics, and computing. The required mathematics courses have substantial financial content and the experiential computational finance course, which students take during the summer, makes use of skills learned in the mathematics, analytics, and finance courses taken up to that point. The program has a strong multidisciplinary nature and combines the expertise of four of RIT's colleges. The program is a full-time, 17-month curriculum beginning exclusively in the fall. The program ends with a required non-credit comprehensive exam based on the courses completed by the student.

Curriculum

Computational finance, MS degree, typical course sequence:
-Accounting for Decision Makers
-Survey of Finance
-Equity Analysis
-Debt Analysis
-Advanced Derivatives
-Mathematics for Finance I
-Mathematics for Finance II
-Analytics Electives
-Electives
-Computational Finance Experience

Other admission requirements

-Submit official transcripts (in English) from all previously completed undergraduate and graduate course work.
-Submit the results of the Graduate Management Admission Test (GMAT) or Graduate Record Exam (GRE) (GMAT preferred).
-Submit a personal statement (Applicants should explain why their background, please indicate mathematical and programming knowledge, and interests make them suitable for the program).
-Submit a current resume, and complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 580 (paper-based) or 92 (Internet-based) are required. Scores from the International English Language Testing System (IELTS) will be accepted in place of the TOEFL exam. The minimum acceptable score is 7.0. The TOEFL or IELTS requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions. For additional information on the IELTS, visit http://www.ielts.org.
-Completed applications for admission should be on file in the Office of Graduate Enrollment Services at least four weeks prior to registration for the next academic semester for students from the United States, and up to 10 weeks prior for international students applying for student visas.
-Accepted students can defer enrollment for up to one year. After one year, a new application must be submitted and will be re-evaluated based on the most current admission standards.

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The Master of Science Degree in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. Read more
The Master of Science Degree in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. It prepares students for immediate employment in a variety of high-paying industry positions or doctoral study in applied statistics or a related field.

Applied statisticians are in high demand in the current high-technology economy. Our program emphasizes a flexible curriculum that allows a wide variety of concentrations of application, including biology, mathematics, computer science, psychology, health sciences, business, pharmaceutical product development, and other self-designed multi-disciplinary concentrations. The Program also offers paid internship opportunities and flexible class offerings allowing for both full-time and part-time students.

We encourage students from diverse academic backgrounds to consider our program. Due to the interdisciplinary nature of the program, various undergraduate majors and interests are eligible for admissions.

Curriculum

After admission to the program, students will be allowed to select the thesis or nonthesis track for the M.S. in applied statistics. The thesis option replaces one of the elective classes and STA 531 with a six-credit thesis, to be initiated after the completion of STA 504 or STA 505 and STA 506.

Core modules for non-thesis option:

STA 505 Mathematical Statistics I or STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II
STA 507 Introduction to Categorical Data Analysis
STA 511 Intro Stat Computing & Data Management
STA 512 Principles of Experimental Analysis
STA 513 Intermediate Linear Models
STA 514 Modern Experimental Design
STA 531 Topics In Applied Statistics

PLUS

Select two, three-credit electives from a selected area of concentration or STA 601 and one additional three-credit elective from a selected area of concentration

Core modules for thesis option:

STA 505 Mathematical Statistics I or STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II
STA 507 Introduction to Categorical Data Analysis
STA 511 Intro Stat Computing & Data Management
STA 512 Principles of Experimental Analysis
STA 513 Intermediate Linear Models
STA 514 Modern Experimental Design
STA 609 Thesis I
STA 610 Thesis II

PLUS

Select one three-credit elective from a selected area of concentration or STA 601

Please see the website for more detailed information about these modules:

http://catalog.wcupa.edu/general-information/index-course-prefix-guide/course-index/graduate/sta/

Statistics Institute

The West Chester Statistics Institute (WCSI) provides statistical support, analysis, and education on a short or long term basis on specific projects for the West Chester University community and for regional business, industry, and academic institutions. WCSI is a non-profit organization, committed to providing hands-on, supervised educational opportunities for current West Chester University Applied Statistics Graduate Students. For more information please visit the website:

https://wcupa.edu/sciences-mathematics/mathematics/gradstat/statisticsInstitute.aspx

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The Certificate in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. Read more
The Certificate in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. It prepares students for immediate employment in a variety of high-paying industry positions or doctoral study in applied statistics or a related field.

Applied statisticians are in high demand in the current high-technology economy. Our program emphasizes a flexible curriculum that allows a wide variety of concentrations of application, including biology, mathematics, computer science, psychology, health sciences, business, pharmaceutical product development, and other self-designed multi-disciplinary concentrations. The Program also offers paid internship opportunities and flexible class offerings allowing for both full-time and part-time students.

We encourage students from diverse academic backgrounds to consider our program. Due to the interdisciplinary nature of the program, various undergraduate majors and interests are eligible for admissions.

Curriculum

If you wish to pursue your studies on a parttime basis or just learn some new skills, the Certificate Program in Applied Statistics is a viable and exciting option. This 19-credit hour program is a hands-on curriculum that will give you knowledge and experience in applying statistical and computational procedures to reallife problems. For instance, you will learn how to effectively design and analyze data from a clinical trial.

The Certificate Program offers a broad overview and introduction to application of statistical concepts to various research settings. This program emphasizes hands-on course work, rather than the internship opportunity and independent research option of the MSc.

Core modules:

• STA 507 Introduction to Categorical Data Analysis (3 credits)
• STA 511 Intro Stat Computing & Data Management (3 credits)
• STA 512 Principles of Experimental Analysis (4 credits)
• STA 514 Modern Experimental Design (3 credits)

Electives:

• Select two courses from a selected area of concentration (6 credits)

Please visit the website for more detailed information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/mathematics/applied-statistics-certificate/

Careers

Program graduates are employed in the following fields:

• Natural Sciences Managers
• Clinical Research Coordinators
• Actuaries
• Statisticians
• Clinical Data Managers
• Survey Researchers
• Mathematical Science Teachers, Postsecondary

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If numbers drive you, let Applied Statistics be your destination. Applied Statistics is a challenging field. With a Manderson degree, even when the numbers are stacked against them, our graduates are ready. Read more
If numbers drive you, let Applied Statistics be your destination. Applied Statistics is a challenging field. With a Manderson degree, even when the numbers are stacked against them, our graduates are ready.

Visit the website: http://manderson.cba.ua.edu/academics/departments/masters_program/master_of_science_in_applied_statistics

Course detail

The candidate for a graduate degree in Applied Statistics is normally expected to have completed courses in mathematics equivalent to two semesters of undergraduate calculus, and to have a working knowledge of computer programming and linear or matrix algebra.

Format and assessment

The M.S. degree in Applied Statistics requires 30 hours, half of which are track specific. There are two different tracks within this degree. These include: Statistics and Analytics. There are five required courses common to both tracks of study.

The electives may be earned in additional coursework with the approval of a faculty advisor. The program of related courses may vary from student to student and depends on the student's interests and academic background. When most of the coursework is completed, the student must pass a written comprehensive examination OR a professional exam such as the Actuarial P Exam, SAS Predictive Modeler Exam, or the ASQ Certified Quality Engineer Exam.

Required modules:

- ST 552 Applied Regression Analysis
- ST 553 Applied Multivariate Analysis
- ST 554 Mathematical Statistics I
- ST 555 Mathematical Statistics II
- ST 560 Statistical Methods

How to apply: http://graduate.ua.edu/prospects/application/

Fund your studies

Student Financial Aid provides comprehensive information and services regarding opportunities to finance the cost of education at The University of Alabama. We recognize that financial assistance is an important key to helping reach your educational and career goals. The financial aid staff is dedicated to making the financial aid process as straightforward as possible. Visit the website to find out more: http://financialaid.ua.edu/

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The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Read more

Program overview

The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.

Plan of study

The program requires 30 credit hours and includes four core courses, five electives, and a capstone or thesis.

Core courses

There are four required core courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program.

Curriculum

Applied statistics, MS degree, typical course sequence:
First Year
-Statistical Software
-Fundamentals of Statistical Software
-Regression Analysis
-Foundations of Experimental Design
-Electives
Second Year
-Electives
-Capstone

Concentration areas

-Predictive Analytics
-Data Mining/Machine Learning
-Industrial
-Biostatistics
-Theory

Electives, capstone or thesis

Elective courses are chosen by the student with the help of their adviser. These courses are usually department courses but may include (along with transfer credits) up to 6 credit hours from other departments that are consistent with students’ professional objectives. The capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study. Students, with adviser approval, may write a thesis as their capstone.

Other admission requirements

-Have a satisfactory background in mathematics (one year of university-level calculus) and statistics (preferably two courses in probability and statistics).
-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit a current resume.
-Submit two letters of recommendation, and complete a graduate application.
-International students whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL).
-Scores from the Graduate Record Exam (GRE) are not required, however submitting scores may support the admission of an applicant who is deficient in certain admission requirements.

Additional information

Grades:
Students must attain an overall program grade-point average of 3.0 (B) for graduation.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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