Loyola University Chicago

What you'll study

The programme combines core mathematics and statistics with specialised biostatistics courses and practical computing. You will take foundational modules in calculus, linear algebra, probability and mathematical statistics before moving on to applied courses such as regression analysis, experimental design and statistical inference.

• Core quantitative modules: single and multivariable calculus, linear algebra, probability theory, mathematical statistics.
• Applied statistics: regression and generalized linear models, analysis of variance, nonparametric methods, multivariate statistics and time series.
• Biostatistics and health-focused topics: introductory biostatistics, survival analysis, longitudinal data analysis, clinical trials methodology, epidemiological methods and causal inference.
• Computing and data skills: statistical programming in R and Python, data management, reproducible research, and use of specialised software common in biomedical research.
• Capstone and experiential learning: a senior seminar, independent research project or practicum/internship collaborating with faculty or local health organisations, often involving real-world biomedical data.

The degree is delivered within Loyola’s liberal arts curriculum, so you will also complete general education requirements in the humanities, social sciences and communication. Electives allow you to deepen knowledge in complementary areas such as biology, public health, psychology or computer science.

Entry requirements

Applicants are normally expected to have a strong secondary-school record with significant exposure to mathematics through pre-calculus or calculus. Successful candidates typically have experience in algebra, trigonometry and precalculus, with some having taken calculus or introductory statistics at school.

• Academic preparation: solid grades in mathematics and science courses; evidence of quantitative aptitude.
• Recommended background: prior coursework in calculus and a first course in statistics where available.
• International applicants: must present an equivalent secondary-school qualification and meet the university’s English language requirements (e.g. accepted scores on recognised English tests) or provide alternative evidence of proficiency.
• Additional information: personal statements, letters of recommendation and any evidence of programming or research experience can strengthen an application. Transfer applicants should supply college transcripts and a record of coursework in mathematics/statistics.

Career prospects

Graduates with a biostatistics focus are prepared for technical roles that bridge math, computing and health sciences. Common career paths include roles in pharmaceutical and biotechnology companies, contract research organisations (CROs), public health agencies, hospital research units and academic research groups.

• Biostatistician or statistical analyst in clinical trials and drug development
• Data analyst or data scientist in health technology and public health
• Research assistant or study coordinator in epidemiology and population health
• Regulatory statistician supporting submissions to health authorities
• Progression to graduate study (MSc/PhD) in biostatistics, statistics, data science, or related fields, and preparation for professional roles in research and healthcare policy

Why study at Loyola University Chicago

Loyola University Chicago offers this programme within a liberal arts and Jesuit education framework that emphasises critical thinking, ethical practice and community engagement. The university’s proximity and institutional links to the Loyola University Medical Center and other Chicago healthcare and research organisations provide clear opportunities for internships, collaborative projects and applied research.

• Interdisciplinary opportunities: easy collaboration with public health, biology and medical faculties for cross-disciplinary projects.
• Research and practical experience: access to faculty-led research, practicum placements and local clinical research sites.
• Smaller classes and mentoring: departments that support close student–faculty interaction, advising and tailored preparation for graduate study or employment.
• Career services: university career resources and alumni networks in Chicago that help students find internships and entry-level positions in the health and life-sciences sectors.

Together, these elements prepare students to apply robust statistical methods to biomedical questions while developing communication and ethical skills valued by employers and graduate programmes.