Department of Mathematics & Statistics

Department of Mathematics & Statistics

Unlock the language of the universe with programs in pure math, applied math, and statistics. At Abide University, you’ll explore fundamental theories and apply quantitative reasoning to solve complex problems.

Degree Programs

B.Sc. in Mathematics

Develop a strong foundation in theoretical mathematics, including analysis, algebra, and topology, with options for specialization.

Concentrations:

  • Pure Mathematics
  • Applied Mathematics
  • Computational Mathematics
  • Mathematics Education

Features rigorous coursework, undergraduate research opportunities, and problem-solving seminars.

B.Sc. in Statistics

Master the science of data analysis, probability, statistical modeling, and data-driven decision-making for diverse applications.

Core Areas:

  • Probability Theory & Mathematical Statistics
  • Regression Analysis & Experimental Design
  • Statistical Computing (R, Python)
  • Data Mining & Machine Learning

Includes projects with real datasets, statistical consulting experience, and capstone projects.

M.Sc. in Applied Mathematics

Focus on mathematical modeling, numerical analysis, and computational methods to solve problems in science, engineering, and finance.

Specializations:

  • Mathematical Modeling & Simulation
  • Numerical Methods & Scientific Computing
  • Operations Research & Optimization
  • Financial Mathematics

Offers advanced coursework, research projects with industry applications, and thesis options.

M.Sc. in Statistics & Data Science

Develop advanced expertise in statistical theory, data analysis techniques, machine learning algorithms, and big data tools.

Focus Areas:

  • Advanced Statistical Modeling
  • Machine Learning & AI
  • Big Data Analytics & Cloud Computing
  • Biostatistics & Health Data Science

Includes projects using large datasets, advanced statistical software training, and a capstone or thesis.

Ph.D. in Mathematics / Statistics

Conduct original, cutting-edge research in pure mathematics, applied mathematics, or statistics, contributing to the advancement of the field.

Research Areas:

  • Algebra, Analysis, Geometry & Topology
  • Differential Equations & Dynamical Systems
  • Probability Theory & Stochastic Processes
  • High-Dimensional Data Analysis & Statistical Learning

Features dissertation research, advanced seminars, teaching opportunities, and collaboration with leading researchers.

Certificate in Data Analysis & Statistical Computing

Provides practical skills in data manipulation, statistical analysis, and programming using software like R and Python for professionals.

Focus Areas:

  • Data Wrangling & Visualization
  • Applied Statistical Methods
  • Programming in R & Python for Data Science
  • Introduction to Machine Learning

Highlights hands-on workshops, real-world data projects, and flexible learning options.

Research & Problem-Solving Opportunities

Undergraduate Research Seminars

Engage in research projects under faculty mentorship, exploring advanced topics and contributing to mathematical or statistical investigations.

Putnam Competition & Math Modeling Teams

Hone your problem-solving skills by participating in prestigious national mathematics competitions and interdisciplinary modeling challenges.

Statistical Consulting Center

Gain practical experience by providing statistical advice and data analysis support to researchers across the university and local organizations.

Computational Mathematics Lab

Utilize high-performance computing resources for complex simulations, numerical analysis, and data-intensive research projects.

Industry Collaboration Projects

Apply mathematical and statistical methods to solve real-world problems in partnership with industry collaborators in finance, tech, healthcare, and more.

Tutoring & Teaching Assistantships

Develop your understanding and communication skills by tutoring peers or assisting faculty with undergraduate courses.

Meet Our Faculty

Dr. Elara Vance
Dr. Elara Vance
Professor of Pure Mathematics
"Number theory, algebraic geometry, and cryptography."
Professor Jian Chen
Prof. Jian Chen
Associate Professor, Applied Statistics
"Bayesian methods, machine learning, and biostatistics."
Dr. Samuel Roth
Dr. Samuel Roth
Assistant Professor, Computational Mathematics
"Numerical analysis, scientific computing, and mathematical modeling."

Student Life & Professional Societies

Mathematics & Statistics Student Union (MSSU)

Organizes seminars, guest lectures, problem-solving sessions, and social events for math and stats enthusiasts.

Abide Putnam Team

Train and compete in the prestigious William Lowell Putnam Mathematical Competition, challenging your problem-solving abilities.

Actuarial Science & Statistics Club

Explore careers in actuarial science and applied statistics, with guest speakers from industry and exam preparation resources.

Association for Women in Mathematics (AWM Chapter)

Promotes and supports women in mathematical sciences through mentorship, networking, and outreach activities.

Research Centers & Mathematical Initiatives

Center for Pure & Applied Mathematics (CPAM)

Fosters research across all areas of mathematics, hosting seminars, workshops, and visiting scholars.

Institute for Statistical Science & Data Analytics

Focuses on cutting-edge research in statistical theory, methodology, and applications in data science and AI.

Mathematical Modeling & Computational Science Unit

Develops and applies mathematical models and computational tools to solve problems in various scientific and engineering disciplines.

Mathematics Education Research Group

Investigates effective teaching and learning strategies in mathematics from K-12 to university levels.

What Our Students Say

The undergraduate research program allowed me to explore number theory deeply and even co-author a paper. The faculty support is incredible.
— Aisha K., B.Sc. Mathematics '24
The Statistics program's focus on real-world data analysis and R programming gave me a competitive edge for my data science career.
— Ben L., B.Sc. Statistics '23
The M.Sc. in Applied Math provided challenging coursework and a fantastic thesis project that directly related to my current role in financial modeling.
— Chloe P., M.Sc. Applied Math '22

Frequently Asked Questions

How do I apply to the Department of Mathematics & Statistics?
Applications are submitted online via the Abide University admissions portal. Requirements generally include academic transcripts, a personal statement outlining your mathematical interests, letters of recommendation, and potentially standardized test scores (e.g., GRE for graduate programs).
What research opportunities are available for undergraduates?
We strongly encourage undergraduate research. Opportunities include faculty-mentored projects, participation in research seminars, summer research programs, and presenting at conferences.
What careers do graduates pursue?
Graduates find careers as mathematicians, statisticians, data scientists, actuaries, financial analysts, operations research analysts, software developers, educators, and researchers in academia, industry, and government.
What computational resources are available?
Students have access to computer labs with mathematical and statistical software (e.g., MATLAB, R, Python, SAS, Mathematica), and our Computational Mathematics Lab provides high-performance computing resources for research.
Are scholarships or assistantships available?
Yes, Abide University offers various scholarships. The Department of Mathematics & Statistics also offers teaching and research assistantships for qualified graduate students, and some undergraduate scholarships may be available.
Who can I contact for more information?
For detailed program inquiries, please email [email protected] or visit the Department of Mathematics & Statistics Office.

Calculate Your Future

Ready to explore the power of mathematics and statistics to understand and shape the world? Apply now or connect with an advisor to discover our rigorous and rewarding programs.

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