Best Online Masters Programs in Biostatistics

Application Opens: March 4, 2024 Early Action Deadline: July 15, 2024 Priority Deadline: September 15, 2024 Final Deadline: October 15, 2024 Semester Starts: January 22, 2025.

Application Opens: October 16, 2024 Early Action Deadline: March 15, 2025 Priority Deadline: May 1, 2025 Final Deadline: June 1, 2025 Semester Starts: September 3, 2025.

Online Master of Science (Sc.M.) in Biostatistics, Health Data Science Concentration.

In as little as 20 months, you can graduate ready to further your career.

Demand for professionals with advanced expertise in biostatistics continues to be high across academia and the public and private sectors, particularly in settings emphasizing research in biomedicine and biotechnology. recently, the expansion of big data and its potential influence on the healthcare sector has generated an increased demand for data scientists. In fact, the U.S. Bureau of Labor Statistics projects 13-35% growth in employment across areas of biostatistics data science through 2032, surpassing the national average.

Students will take classes similar to that of those studying on-campus. Further, the program is featured with a health data science concentration to allow learners to develop highly sought-after foundational knowledge in health data science.

All courses are delivered 100% online and will combine asynchronous and synchronous components to make the most of the online learning environment. Synchronous sessions will occur one time per week and will be recorded for students to access at their convenience.

Our unique curriculum combines the foundations of biostatistics and health data science with the power of instructional technologies to engage cross-continental learners, intellectually, personally and professionally. The program is designed to develop experts and leaders who will make critical contributions across interdisciplinary fields in human health and life science.

During the final semester, students will complete a final capstone course and project.

At the end of the course, students will submit a paper and or give a presentation of their work and are expected to complete their project in a format that is ready for journal submission. The project can be a report from a clinical public health investigation a comprehensive literature review a meta-analysis. Development of R Python packages that are ready to submit to a repository for public use is also acceptable.

We require that applicants have at least two years of professional work experience. This allows you to enter the program with ideas where you want to take your career, along with real-world expertise you can share with your classmates.

The GRE is not required, however, applicants need to have completed at least one semester of calculus (including differentiation integration), at least one semester of linear algebra and at least one semester of probability. Prior experience in programming languages such as R or Python is recommended and preferred, but not required. Applicants who lack this experience in their academic or work background are encouraged to complete an introductory programming course prior to matriculation.

Describe your understanding of, and desire to pursue a career in biostatistics, or public health data science. Please discuss previous academic professional activities that align with a career in biostatistics or public health data science.

Students from mainland China may submit the TOEFL ITP Plus exam.

Application Opens: September 15, 2024 Early Action Deadline: March 15, 2025 Priority Deadline: May 1, 2025 Final Deadline: June 1, 2025 Semester Starts: September 3, 2025.

Students in the Epidemiology and Biostatistics Concentration study the factors that underlie health and disease in human populations, including the analysis of data to develop and evaluate strategies for disease prevention and control. In this online MPH program, students will acquire proficiency in both epidemiology and biostatistics and will be able to immediately apply these skills to improve the effectiveness of public health programs.

The Mission of the Epidemiology and Biostatistics Concentration is to: generate new knowledge that can lead to improvements in health, while emphasizing and identifying emerging areas of inquiry, especially those that cross disciplinary boundaries evaluate the effectiveness of new and existing public health programs and policies disseminate and apply existing and new knowledge in the training of health professionals who will engage directly with populations at highest risk of poor health, and or who will conduct research in epidemiology and biostatistics and serve the larger communities in which we live and work by using our skills and knowledge.

Upon satisfactory completion of the MPH concentration in Epidemiology and Biostatistics, graduates will be able to demonstrate the following competencies:.

There are 6 required core and breadth courses for all students earning an MPH degree. These courses, taken primarily in the first year of the program, provide students with a foundation in the concepts and competencies relevant to addressing determinants of health, using both qualitative and data-driven approaches.

In addition to the six required core and breadth courses for all students earning an MPH degree, students in the Epidemiology and Biostatistics Concentration must complete: 1) two epidemiology and biostatistics core requirements 2) one course in data management 3) at least five additional units of courses in Epidemiology and Biostatistics and 4) a sufficient number of elective courses to complete the 42 units required for the MPH degree.

Required Epidemiology Biostatistics Courses (2 courses, 8 units).

PHW241: Intermediate Biostatistics for Public Health (4 units, Spring Full Term).

Required Competency in Data Management (select 1 course, 2 units).

Many public health professionals use statistical software to manage, clean, and analyze health-related data. In response to the increasing proportion of the public health professional and academic workforces who use R software for statistical analysis, the majority of quantitative courses at Berkeley Public Health use R software, although other software packages are also commonly used by the Berkeley Public Health community (e.g., SAS, STATA). All students in the OOMPH program are introduced to the R programming language in the required breadth course PHW142: Introduction to Probability and Statistics. Other courses in the OOMPH program that use R software are indexed according to the level of R experience you need at the beginning of the course in order to be successful.

Students in the Epidemiology and Biostatistics Concentration will require advanced training in data manipulation and analysis than what is provided in PHW142. Students in the Concentration must therefore complete at least one dedicated course in data management and programming using R or SAS software:.

Additional Courses in Epidemiology Biostatistics (select at least 5 units).

Courses in the Epidemiology and Biostatistics Concentration are generally fast moving, some involve independent analysis of epidemiologic data, and they often build upon material in prior courses. We highly recommend that students not fall behind, as course material progressively builds on the methodological foundation of prior weeks which can make it difficult to catch up. To ensure that OOMPH students can maintain the six units per semester required for full time status and financial aid eligibility, there are a variety of two unit courses that have been designed to pair with the required four unit courses.

In addition, most of the courses in the program are only offered once per year (e.g., Fall, Spring, or Summer terms only), and many courses in the Concentration have prerequisites. Thus, it is highly recommended that students develop a semester-by-semester course map to ensure that the requirements for advanced courses will have been met within the time frame of the program. For example, the optional course PHW252: Epidemiological Analysis is usually taken in the final semester, as PHW250B and PHW241 must be completed prior to enrollment. To help you plan your program and ensure you successfully complete the requirements for the Concentration, we have developed several tools for your use, including sample schedules and a course planning spreadsheet:.

Program Managers assess student progress toward degree requirements by running reports and communicating with students as needed. Students should reach out to their Program Manager with any questions related to degree requirements.

To complete the 42 units required for the MPH degree, students in the Epidemiology and Biostatistics Concentration select 2-3 elective courses, depending on how many units are needed.

Community Health Sciences offers a combined study of populations, including historically marginalized groups, to include ethnicity, gender, sexual orientation, and socioeconomic status, drawing upon epidemiological, anthropological, and demographic research. These courses encompasses the use of program planning tools, behavioral determinants of population health, exposure to evaluation methods, and real-world practice with survey methods in addressing population needs.

PHW205: Program Planning and Development (3 units, Summer 2).

PHW218: Evaluation of Health Social Programs (3 units, Spring 2).

The Master of Science in Biostatistics Program in the Biostatistics requires a minimum of 36 post-baccalaureate credit hours. The program is designed to facilitate students’ development of a strong theoretical foundation in biostatistics, and a broad-based understanding of biostatistical methods and advanced skills in big data analysis. Upon successful completion of the program, graduates will be awarded an M.S. degree in biostatistics.

Online Application: Start the online application. Please indicate that you are applying to the School of Medicine, Biostatistics program.

In one to two pages, address your interest in biostatistics and how you hope to utilize this program in your career path.

Biostatistics Master Program Case Western Reserve University 10900 Euclid Ave.

The course is designed for graduate students to build a foundation of multivariate statistical analyses, to analyze large data with multiple variables, to formulate appropriate models from different perspectives, and to correctly interpret statistical estimates. By the completion of this course, students will be able to:.

This course focuses on fundamental principles of multivariate statistical analyses in biostatistics, including multiple linear regression, multiple logistic regression, analysis of variance, and basic epidemiology concepts. The fundamental theories are applied to analyze various biomedical applications ranging from laboratory data to large-scale epidemiological data. In particular, this course focuses on multivariate statistical analyses, which involve than one variable and take into account several variables on the responses of interest. This course focuses on fundamental principles of multivariate statistical analyses in biostatistics, including multiple linear regression, multiple logistic regression, analysis of variance, and basic epidemiology concepts. The fundamental theories are applied to analyze various biomedical applications ranging from laboratory data to large-scale epidemiological data. In particular, this course focuses on multivariate statistical analyses, which involve than one variable and take into account several variables on the responses of interest. In addition, although statistical learning and machine learning are different, both learning approaches play a key role in inference and prediction. This course compares statistical learning and deep learning in the context of biostatistics. F2019 Syllabus.

IE 0 Probability and Statistics in Engineering II or equivalent basic statistics course.

Each exam will cover different content. Final exam not cumulative. Format of exams subject to change.

ProEd Minimum Computer Requirements. This course will also conduct basic operations in large-scale statistical analyses with statistical software packages (e.g. STATA). Students will have access to the packages in BME computer lab. Overall, minimal help on STATA will be provided, given that this course is intended to teach biostatistics not a package. It should be noted that STATA is a user-friendly easy-to-use statistical software package that is commonly used in clinical and biomedical research.

The Online Master of Science in Biostatistics (MSBST) is designed for professionals with a bachelor’s degree who aspire to start or advance their career in biostatistics, statistics or data science. Offered by the School of Public Health & Information Science at the University of Louisville, this program delivers a forward-thinking curriculum that emphasizes medical, dental, nursing and healthcare applications of statistical analysis, with applicability across countless other industries. Through state-of-the-art coursework in designing research studies and applying modern statistical analysis, you’ll be equipped with the expertise needed to meet the growing industry demand for skilled statisticians who can effectively drive evidence-based decisions.

Upon completion of MPH 5011, you will be able to:.

You'll also gain hands-on experience by conducting your own statistical study, using the techniques and theories covered in this course.

Statistical analysis is the backbone of health care planning. It allows health care professionals and policymakers to make assumptions and recommendations based on the responses of a sample of the population, rather than an entire group. In this introductory course, you learn statistical terminology and techniques without delving into the mathematical theory underlying the formulas and calculations.

Biostatistics is the development and application of statistical reasoning and methods in addressing, analyzing and solving problems in public health, health care and biomedical, clinical and population-based research.

This course focuses on basic statistical concepts including frequency distribution, central tendency, variability, probability, point and interval estimates, normal curve, hypothesis testing, multivariate methods and survival analysis.

Describe the roles biostatistics serves in the discipline of public health.

The Master of Science in Biostatistics program in the Biostatistics requires a minimum of 36 post-baccalaureate credit hours. Students may choose to pursue one of two concentrations within their degree program. development of a strong theoretical foundation in biostatistics and a broad-based understanding of biostatistical methods. In addition to the core biostatistics courses, students in this concentration will additionally take courses in biostatistical theory, survival analysis, and clinical trials. Alternatively, the Health Data Science concentration will emphasize methodological and computational foundations in data science with applications in public health to prepare students interested in becoming health data scientists. In addition to the core biostatistics courses, students in this concentration will additionally take courses relating modern computing, machine learning, and data visualization techniques to applications in the health sciences. Upon successful completion of the program, graduates will be awarded an M.S. degree in biostatistics with the concentration of their choosing.

The principal goal of the M.S. program is to prepare highly qualified individuals for future Ph.D. training and for careers in biostatistics practice. This training is conducted in the innovative and interdisciplinary public health culture of the College of Medicine and the College of Public Health and Health Professions, and it will produce graduates who will help address the shortage of biostatisticians.

We expect our graduates to be highly competitive in three primary settings:.

This program extends the reach of our academic excellence to potential leaders across the world.

However, the online program provides students with the flexibility to study at times and locations convenient to their schedules. Graduates of this program will most likely pursue careers in health care or pharmaceutical companies.

Tuition for the Biostatistical Methods and Practice concentration costs $750.00 per credit hour (regardless of residency status) plus miscellaneous fees paid directly to UF (roughly $35 per credit hour).

Fortune magazine ranked the Master of Biostatistics number one on the list of Best Graduate Degrees for Jobs in 2016, based on long-term outlook for job growth, median salaries and job satisfaction scores. This ranking is up from number two on this same list in 2015 which stated:.

Those who earn a graduate degree in biostatistics, work in health care, biotech, and life sciences, using computer models to, for example, predict cancer growth in a cell.