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Graduate Degree

Welcome to the 九色视频’s Graduate Programs in Mathematics and Statistics, where advanced studies meet real-world applications and career excellence. Our master’s programs and graduate certificate are designed to equip you with the analytical, technical, and research skills that today's competitive industries demand.

Why Choose Our Graduate Programs?

Career Advancement & Attractive Employment Options
Our master’s programs open the door to attractive employment options in industries such as insurance, data science, biostatistics, education, and more. With the increasing demand for professionals who can analyze and interpret data, our curriculum provides you with the knowledge and technical skills required to make well-informed decisions and deliver projects backed by proven methodologies and data-driven assessments.

Industry-Relevant Training
Graduate studies in mathematics and statistics at 九色视频 are not just about theory. You will gain hands-on experience with industry-standard software packages such as SAS, R, and Python. This practical training ensures that you are prepared to tackle data modeling and analysis challenges in your organization or in your future research endeavors.

Comprehensive Skill Development
Our programs are meticulously designed to blend theoretical analysis with practical application. Students graduate with essential skills in analytical thinking, problem-solving, data analysis, and critical reasoning. Whether you are preparing for a career in industry or considering further doctoral studies, our graduate programs provide a strong foundation for success.

Our Graduate Programs
Master of Science in Mathematics and Statistics Our M.S. programs are designed to provide you with an in-depth understanding of mathematical and statistical models. You will engage with complex problems and learn to develop solutions that meet the demands of today’s data-driven business environment. Graduate Certificate in Applied Mathematics For those looking to enhance their qualifications, our graduate certificate offers specialized training in applied mathematics. This program is ideal for professionals aiming to teach at the college level or to expand their expertise in data analysis and modeling.

New and Upcoming Programs

Fully Online M.S. in Data Science Launching in Spring 2026, our fully online Master of Science in Data Science offers a flexible, high-quality education tailored to meet the needs of working professionals and future leaders. Students eager to begin classes in Fall 2025 should apply to the M.S. in Mathematical Sciences program and reach out to Dr. Buzaianu, the graduate coordinator, for more information.

Future Projected Graduate Offerings:

  • Master of Science in Biostatistics: Projected to begin in Fall 2026, this program will prepare you for careers in the rapidly growing field of biostatistics.
  • Ph.D. in Data Science: Anticipated to commence in Fall 2027, this doctoral program will enable graduates of our M.S. in Data Science program to further their academic and professional pursuits in advanced data science research.

Apply Today

Enhance your career prospects and transform your professional future with 九色视频’s Graduate Programs in Mathematics and Statistics. Our rigorous curriculum, industry-relevant training, and commitment to excellence make us a top choice for students ready to lead in data science, biostatistics, and beyond. Apply today and become part of a community dedicated to innovation, research, and lifelong learning.

  • Financial Support

    Financial support is available in the form of Graduate Teaching Assistantships and Scholarships as from the Office of Financial Aid. All full time Graduate Teaching Assistant will have 100% tuition waiver.

    We have limited teaching assistantships for prospective graduate students. If interested, please fill out and mail the application form and the reference letters for consideration.

  • Introduction

    In order to qualify for the Master of Science in Mathematical Sciences with a Mathematics or Statistics track, a student must complete at least 32 hours of study in the mathematical sciences. A student may choose a thesis option for a portion of the program. The thesis may account for no more than 6 credits of the 32.

  • Thesis Advisor

    The first step for a thesis-option student is to identify a faculty member who agrees to be the student's thesis adviser. The thesis adviser must be a member of the Department graduate faculty. A faculty member may decline to serve as the thesis adviser and the student may look elsewhere for an adviser if a satisfactory thesis topic cannot be agreed upon.

    The thesis adviser is responsible for supervising the student's research, chairing the student's thesis committee, supervising and screening the writing of the thesis, and organizing and supervising the thesis presentation.

  • Thesis Topic

    Once the thesis adviser and student have agreed upon an appropriate topic, the student, in consultation with the adviser, prepares a proposal which provides descriptive information regarding the topic. The proposal is not to exceed five pages (including references). Upon its approval by the student's thesis committee, the proposal is filed with the Graduate Coordinator.

  • Thesis Committee

    The thesis adviser, upon accepting a thesis student, registers that information with the Graduate Coordinator. A thesis committee then is selected by the thesis adviser, in consultation with the Graduate Coordinator and the student.

    The thesis committee must consist of 3 graduate faculty members and be chaired by the thesis adviser. Its members normally are selected from the Department graduate faculty; however, if appropriate for a particular thesis topic, one member of the committee may be a graduate faculty from outside the department.

    The committee is responsible for reviewing and approving the thesis proposal, for reviewing and approving the thesis in final form as prepared by the student, and for reviewing and approving the presentation of the thesis.

  • Thesis Presentation

    The student must present and defend the thesis orally in a public session during which the student answers appropriate questions from the committee. In a format similar to that used in presenting research at a technical conference, the presentation should summarize the significant results of the thesis. For the presentation to be successful, the committee must agree unanimously that the thesis has been presented adequately and the student has acquired the knowledge presented in the thesis.

  • Who Takes the Comprehensive Exam?

    Any student who does not elect the thesis option will take the Department Comprehensive Examination. The Examination will consist of an oral portion and a written portion.

  • Oral Portion

    The goal of this presentation is to have the student prepare and explain a topic which is a natural extension of a course or courses in the student's program. For example, a mathematics student might learn about and present a talk on polynomial rings, if that topic was not covered in his/her Algebra course; or, a suitable topic might be the characterization of all univalent mappings of the unit disk, if that topic was not covered in his/her Complex Analysis course. A statistics student might present a design that was not covered in his/her Design of Experiments course; or, a suitable topic might be the application of a nonparametric method that was not covered in a previous course. The topic will be chosen in conjunction with a Department faculty member who will supervise the work; however, it is expected that the work be done by the student. This activity is intended to be a demonstration of the student's ability to learn independently and the ability to compose and deliver an oral presentation. This is not intended to be a "mini-thesis." The presentation will take place at a Department seminar to be scheduled during the second year of the student's program.

  • Written Portion

    There will be one four-hour comprehensive examination for each of the two program tracks. The student will answer a total of five questions from examinations structured as follows:

    • Mathematics track

      Part A :Four questions from Advanced Linear Algebra; the student will choose two of the questions to answer.

      Part B: The student will first choose three courses from among Numerical Analysis, Probability, and his/her mathematics electives. There will be two questions prepared from each of these courses. The student will choose one question from each of the three courses.

    • Statistics track

      Part A : Four questions from Mathematical Statistics I; the student will choose two of the questions to answer.

      Part B: The student will first choose three courses from among Statistical Methods I, Probability, and his/her statistics electives. There will be two questions prepared from each of these courses. The student will choose one question from each of the three courses.

    The Graduate Coordinator will set up a Committee of Examiners. This committee will construct and grade the examination and will forward its recommendation of pass or fail to the Graduate Coordinator. In case of disagreement, the Graduate Coordinator shall refer the matter to the Graduate Committee for resolution. In case of student failure, the Committee of Examiners will recommend a remedy of repeating all or portion of the examination (with possibly different questions). The proposed remedy must be approved by the Graduate Committee. In case the whole examination must be repeated, the student must wait for at least one semester before attempting the examination again. In case of failure on the second attempt, the student must appeal to the Graduate Committee for another change to take the examination.