Mathematical Sciences, Bachelor of Science (B.S.) with a concentration in statistics

4 Years On Campus Bachelors Program

Virginia Commonwealth University

Program Overview

Virginia Commonwealth University’s Bachelor of Science in Mathematical Sciences with a concentration in Statistics equips students with the mathematical, analytical and computational skills needed to interpret data, understand uncertainty and solve real-world problems. Designed for students who enjoy mathematics, logical reasoning and data-driven decision-making, the program combines probability, statistical inference, statistical computing and advanced analytics to prepare graduates for careers across business, finance, healthcare, technology and research.

Curriculum Structure

The degree requires a minimum of 120 credits and is designed around a four-year course of study. The following is a summary of the recommended course sequence; exact electives may vary.

Year 1: Mathematical and Statistical Foundations

Students build a strong foundation in calculus and introductory statistics through Calculus with Analytic Geometry I (MATH 200) and Concepts of Statistics (STAT 212). They continue with Calculus with Analytic Geometry II (MATH 201) and Mathematical Structures (MATH 211) or Introduction to Mathematical Reasoning (MATH 300), developing the quantitative reasoning needed for more advanced statistical work.

Year 2: Statistical Analysis and Computing

Students strengthen their analytical skills through Intermediate Statistics (STAT 305), Multivariate Calculus (MATH 307) and Linear Algebra (MATH 310). They also study Introduction to Statistical Computing for Data Science (STAT 321), learning how computational methods support data analysis and prepare them for advanced statistical applications.

Year 3: Probability and Statistical Inference

Students explore probability and the principles behind drawing reliable conclusions from data through Introduction to Probability Theory (STAT 309) and Introduction to Statistical Inference (STAT 310). Concentration electives let students explore areas such as Regression (STAT 443), Introduction to Statistical Data Science (STAT 447), Multivariate Statistics (STAT 425) or Statistical Computing for Machine Learning and Artificial Intelligence (STAT 421).

Year 4: Applied Analytics and Professional Preparation

In their final year, students apply their knowledge through Consulting Using Advanced Analytics (SSOR 480) and Career Planning and Professional Development for Statistics and Operations Research (SSOR 485). Further electives may include Time Series (STAT 475), Industrial Statistics (STAT 435) or an Internship (SSOR 493), helping students connect statistical methods with professional and practical applications.

Focus Areas

Probability theory, statistical inference, statistical computing, data science, regression analysis, multivariate statistics, machine learning and artificial intelligence applications, industrial statistics, time-series analysis, advanced analytics, mathematical modeling.

Learning Outcomes

Students develop skills in mathematical problem-solving, statistical reasoning, data collection and sampling, data analysis, evaluating statistical assumptions, using statistical software, applying calculus and linear algebra to statistical problems, interpreting probability distributions and uncertainty, explaining general linear models, and communicating technical findings through clear written and oral presentations.

Professional Alignment (Accreditation)

VCU’s program emphasizes transferable professional skills in statistical analysis, computing, modeling and technical communication. The official program information does not identify a separate specialized accreditation for this specific degree, so students should not assume that the concentration carries a dedicated professional accreditation.

Reputation (Employability and Career Preparation)

VCU incorporates career development directly into the curriculum through SSOR 485: Career Planning and Professional Development for Statistics and Operations Research. Students can also use VCU Career Services and Handshake to explore internships, jobs, employer events and career advising. These resources support career preparation, although a statistics-specific employment rate or salary figure was not identified.

Experiential Learning (Research, Projects, Internships etc.)

At VCU, students can connect statistical theory with practical problem-solving through applied analytics coursework, computing-focused study, independent study and internship options. The curriculum emphasizes using statistical software to analyze data, evaluate assumptions, model uncertainty and communicate results. Students can also access university libraries and career resources to support research, projects and professional preparation.

Statistical Computing and Data Science: STAT 321 introduces statistical computing for data science, while electives such as STAT 421 explore computing methods used in machine learning and artificial intelligence.
Applied Analytics and Consulting: SSOR 480 gives students an opportunity to connect advanced analytics with consulting and data-driven problem-solving.
Internship Experience: SSOR 493 is an available concentration elective, allowing students to pursue professional experience where placement and course requirements permit.
Independent Study: SSOR 492 offers an option for students to explore a topic in greater depth through independent academic work.
Specialized Statistical Topics: Electives such as Regression, Industrial Statistics, Time Series and Introduction to Statistical Data Science help students explore methods relevant to research and industry.
Research and Study Resources: VCU Libraries provide academic resources to support statistical study, assignments and research.
Career and Internship Support: VCU Career Services offers career advising, job and internship search tools, workshops and employer networking opportunities. Handshake connects students with opportunities and career events.

Progression & Future Opportunities

The statistics concentration prepares students to work with data, quantify uncertainty and support evidence-based decisions across a wide range of industries. Graduates can pursue entry-level analytical roles or continue to postgraduate study in statistics, data science, applied mathematics, operations research and related fields. VCU’s curriculum combines mathematical foundations with computing, applied analytics and professional development to support these pathways.

Potential career roles include:

Statistician: Analyze data and apply statistical methods to support research and decision-making.
Data Analyst: Interpret datasets, identify trends and communicate findings to organizations.
Biostatistician: Apply statistical methods to health, medical and biological research; some positions may require postgraduate qualifications.
Quantitative Analyst: Use mathematical and statistical models to support financial analysis, risk assessment or forecasting; specialized roles may require further study.

Career preparation and progression opportunities:

Career Services: VCU Career Services offers career advising, résumé and interview support, job-search resources, workshops and employer networking.
Internship and employment searches: Handshake connects VCU students with employers, job postings, internships and career events. VCU also provides access to Parker Dewey for micro-internships and project-based work.
Practical experience: The statistics curriculum includes an internship elective and advanced analytics coursework, helping students connect their academic knowledge with applied work.
Employment outcomes and salaries: Specific graduate employment rates and salary figures for this concentration were not identified. Outcomes will depend on the role, industry, experience and location.
Long-term professional development: Skills in statistical computing, data interpretation and modeling can support career growth as organizations increasingly use quantitative analysis. The degree’s official program page does not specify a separate specialized accreditation.

Further Academic Progression: Students can pursue graduate study in statistics, data science, applied mathematics, biostatistics, operations research or related disciplines. VCU also offers an accelerated B.S. and M.S. pathway in Mathematical Sciences with a concentration in Statistics, allowing eligible students to complete both degrees in a minimum of five years. Admission is subject to academic eligibility, GPA requirements and graduate-program approval.