Biostatistics, B.S. to Health Data Science, M.S. Accelerated Program
Saint Louis University
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Study the social, environmental and physical influences that together determine the health and well-being of people and communities.
A national leader in research and education, SLUCOR informs health care and policy decisions with scientific information about quality and effectiveness.
Saint Louis University's accelerated B.S. in Biostatistics/M.S. in Health Data Science is designed for students who demonstrate academic success in the biostatistics major and related coursework. The B.S. in Biostatistics is offered through the College for Public Health and Social Justice, which is accredited by the Council on Education for Public Health. The degree uses the American Statistical Association's guidelines for undergraduate data health sciences.
This accelerated program enables biostatistics majors to obtain their undergraduate and master's degrees in five years; they then enter the workforce up to a year earlier than with a traditional two-year master's program. Students apply to the accelerated program during their fifth semester of collegiate study, and accepted students begin graduate coursework during senior year. Students retain undergraduate status, financial aid and tuition rates until their undergraduate degree is conferred after year four. At that time, students attain official graduate student status, pay graduate tuition, and become eligible for graduate assistantships.
For additional information see the catalog entries for the following programs:
SLU students in the biostatistics major who meet the eligibility requirements may apply in the fall semester of their junior year.
Eligibility requirements include:
Application procedures and program details are outlined in the CPHSJ Undergraduate Public Health Student Handbook.
The accelerated B.S./M.S. program allows students to use up to 15 graduate credits towards their undergraduate degree.
| Code | Title | Credits |
|---|---|---|
| Required Core Courses 1 | ||
| BIOL 1240 & BIOL 1245 | General Biology: Information Flow and Evolution and Principles of Biology I Laboratory | 4 |
| BIOL 1260 & BIOL 1265 | General Biology: Transformations of Energy and Matter and Principles of Biology II Laboratory | 4 |
| ENGL 1900 | Advanced Strategies of Rhetoric and Research | 3 |
| HIST 1110 | Origins of the Modern World to 1500 | 3 |
| HIST 1120 | Origins of the Modern World (1500 to Present) | 3 |
| ITM 2000 | Information Technology with Supply Chains | 3 |
| ITM 3300 | Database Management Systems | 3 |
| or CSCI 3710 | Databases | |
| MATH 1510 | Calculus I | 4 |
| MATH 1520 | Calculus II | 4 |
| MATH 2530 | Calculus III | 4 |
| MATH 3110 | Linear Algebra for Engineers | 3 |
| or MATH 3120 | Introduction to Linear Algebra | |
| PHIL 1050 | Introduction to Philosophy: Self and Reality | 3 |
| PHIL 2050 | Ethics | 3 |
| THEO 1000 | Theological Foundations | 3 |
| Foreign Language proficient to 1020-level | 6 | |
| Literature, Fine Arts, or Performing Arts Elective | 3 | |
| Social Science Electives (Political Science, Psychology, Sociology, etc.) | 6 | |
| Required Biostatistics Major Courses | ||
| BST 3000 | Intro to Statistical Computing | 3 |
| BST 3100 | Applied Biostatistics I | 3 |
| BST 3200 | Applied Biostatistics II | 3 |
| BST 4100 | Theory of Biostatistics I | 3 |
| BST 4200 | Theory of Biostatistics II | 3 |
| BST 4400 | Introduction to Applied Data Management | 3 |
| EPI 4000 | Intro Epidemiology: Foundations & Practice | 3 |
| PUBH 2100 | Introduction to Global Health ‡ | 3 |
| PUBH 3200 | Evidence Based Public Health | 3 |
| PUBH 4100 | Biological Basis of Public Health | 3 |
| General Elective Courses | ||
| Select an additional 28 credits of general electives to achieve the minimum 120 credits for graduation. | 28 | |
| Graduate Courses | ||
| Graduate requirements may change by the time the student is formally accepted into the program in junior year. | ||
| Applied Statistics Courses | ||
| HDS 5310 | Analytics and Statistical Programming | 3 |
| HDS 5320 | Inferential Modeling | 3 |
| HDS 5330 | Predictive Modeling and Machine Learning | 3 |
| Practical Computing Courses | ||
| HDS 5210 | Programming for Health Data Scientists | 3 |
| HDS 5230 | High Performance Computing | 3 |
| Health Science Application Courses | ||
| HMP 5000 | Health Care Organization | 3 |
| ORES 5210 | Foundations of Medical Diagnosis and Treatment | 3 |
| ORES 5300 | Foundations of Outcomes Research I | 3 |
| Capstone Experience | ||
| HDS 5960 | Capstone Experience | 3 |
| Total Credits | 147 | |
| 1 | A total of 62 credits are required for completion of the core curriculum. Some core requirements have multiple options for satisfactory completion. A more detailed explanation of core curriculum requirements can be found in the CPHSJ Undergraduate Public Health Student Handbook. |
| ‡ | Fulfills the cultural diversity core requirement. |
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
| Year One | ||
|---|---|---|
| Fall | Credits | |
| BIOL 1240 & BIOL 1245 |
General Biology: Information Flow and Evolution and Principles of Biology I Laboratory |
4 |
| ENGL 1900 | Advanced Strategies of Rhetoric and Research | 3 |
| HIST 1110 | Origins of the Modern World to 1500 | 3 |
| General Elective | 3 | |
| General Elective | 1 | |
| Credits | 14 | |
| Spring | ||
| BIOL 1260 & BIOL 1265 |
General Biology: Transformations of Energy and Matter and Principles of Biology II Laboratory |
4 |
| HIST 1120 | Origins of the Modern World (1500 to Present) | 3 |
| MATH 1510 | Calculus I | 4 |
| PUBH 2100 | Introduction to Global Health ‡ | 3 |
| Credits | 14 | |
| Year Two | ||
| Fall | ||
| ITM 2000 | Information Technology with Supply Chains | 3 |
| MATH 1520 | Calculus II | 4 |
| PHIL 1050 | Introduction to Philosophy: Self and Reality | 3 |
| Language Level 1 or higher | 3 | |
| Social Science Elective | 3 | |
| Credits | 16 | |
| Spring | ||
| BST 3000 | Intro to Statistical Computing | 3 |
| MATH 2530 | Calculus III | 4 |
| THEO 1000 | Theological Foundations | 3 |
| Language Level 2 or higher | 3 | |
| Literature, Fine Arts, or Performing Arts Elective | 3 | |
| Credits | 16 | |
| Year Three | ||
| Fall | ||
| Critical course: Eligible students formally apply to the Accelerated Program. | ||
| BST 3100 | Applied Biostatistics I | 3 |
| EPI 4000 | Intro Epidemiology: Foundations & Practice | 3 |
| PUBH 3200 | Evidence Based Public Health | 3 |
| General Elective | 3 | |
| General Elective | 3 | |
| Credits | 15 | |
| Spring | ||
| Department reviews applications, conducts interviews, and qualified students are notified of acceptance. | ||
| BST 3200 | Applied Biostatistics II | 3 |
| MATH 3110 or MATH 3120 |
Linear Algebra for Engineers or Introduction to Linear Algebra |
3 |
| PHIL 2050 | Ethics | 3 |
| General Elective | 3 | |
| General Elective | 3 | |
| Credits | 15 | |
| Year Four | ||
| Fall | ||
| Formal participation in the Accelerated Program begins. Students maintain undergrad status and take a maximum of 15 credits. | ||
| BST 4100 | Theory of Biostatistics I | 3 |
| BST 4400 | Introduction to Applied Data Management | 3 |
| Critical course: HDS 5310 | Analytics and Statistical Programming | 3 |
| ITM 3300 or CSCI 3710 |
Database Management Systems or Databases |
3 |
| Critical course: ORES 5300 | Foundations of Outcomes Research I | 3 |
| Credits | 15 | |
| Spring | ||
| Students take a maximum of 15 credits. B.S. degree is conferred in May. | ||
| BST 4200 | Theory of Biostatistics II | 3 |
| Critical course: HDS 5210 | Programming for Health Data Scientists | 3 |
| Critical course: ORES 5210 | Foundations of Medical Diagnosis and Treatment | 3 |
| PUBH 4100 | Biological Basis of Public Health | 3 |
| Social Science Elective | 3 | |
| Credits | 15 | |
| Summer | ||
| Students are reviewed by the department and those in good academic standing officially earn graduate student status. | ||
| Critical course: HDS 5320 | Inferential Modeling | 3 |
| Credits | 3 | |
| Year Five | ||
| Fall | ||
| Critical course: HDS 5330 | Predictive Modeling and Machine Learning | 3 |
| Credits | 3 | |
| Spring | ||
| Critical course: HDS 5230 | High Performance Computing | 3 |
| Critical course: HMP 5000 | Health Care Organization | 3 |
| Credits | 6 | |
| Summer | ||
| Critical course: HDS 5960 | Capstone Experience | 3 |
| Credits | 3 | |
| Total Credits | 135 | |
| ‡ | Fulfills the cultural diversity core requirement. |
Refer to the B.S. in Biostatistics roadmap for a list of approved English, fine arts, and social science classes.