Master MBST Biostatistics

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About the Master of Biostatistics

The Faculty of Health and Environmental Sciences at Vertex University offers the Master of Biostatistics program in response to the rapid developments in the fields of medical and health research, with the aim of preparing specialists who are able to analyze biological and health data accurately and use statistical models to interpret vital phenomena. The program focuses on providing students with advanced skills in designing research studies, analyzing epidemiological data, and applying statistics in medicine, which contributes to improving the quality of health care and making informed decisions based on scientific evidence.

The program aims to develop students' applied skills through intensive training in health data analysis, risk assessment, and clinical trial design, enabling them to draw accurate conclusions that contribute to improving health services. The program also includes a focus on ethical and legal issues in the analysis of medical data. Students receive training on the principles of privacy, data protection, and scientific research ethics to ensure responsible and safe use of health information.

The Master of Biostatistics offers students the opportunity to dive into the latest statistical techniques used in artificial intelligence, epidemiology, survival analysis, and big data, with a focus on developing innovative analytical solutions that support medical decisions and health strategies. The program also enhances students' ability to evaluate the effectiveness of treatments and medications, and to support health policies through careful analysis of clinical and population data.

The program is taught by a group of academics and experts specialized in biostatistics and public health, ensuring an integrated curriculum in line with the latest developments in the field. The university provides a modern academic environment based on applied research and interaction with real data. Students are provided with the latest statistical software and digital technologies to enhance their professional skills.

Graduates of the Master of Biostatistics open up wide professional opportunities in different sectors, including health institutions, pharmaceutical companies, medical research centers, environmental organizations, and governmental and international bodies. They can work in areas such as medical data analysis, clinical trial design, statistics in epidemiology, health security, and vital data management, providing them with promising opportunities in local and global markets.

Our Vision and Mission

The Master of Biostatistics program at Vertex University prepares you to master health data analysis, design research studies, and employ artificial intelligence to support decision-making and improve the quality of health care in accordance with the highest international standards.

Our Vision

The Master of Biostatistics program at Vertex University should be a leading academic reference in the qualification of health data analysis experts and the development of scientific research in public health.

Our Mission

Qualifying specialized staff in biostatistics who are able to use statistical analysis and artificial intelligence to support medical research and make health decisions based on data in accordance with the highest standards of accuracy and integrity.

Objectives of the Master of Biostatistics Program
  • Supporting and developing research that promotes a basic understanding of biostatistics and its applications in medicine and public health.
  • Encourage research in advanced areas such as epidemiological data analysis, predictive statistical models, and clinical trial data analysis.
  • Develop new statistical methods used to analyze big health data, such as machine learning, artificial intelligence, and Bayesian statistics.
  • Apply biostatistics in the analysis of chronic diseases, cancer, and infectious diseases to provide scientific insights that help develop prevention and treatment strategies.
  • Training researchers and students in practical skills in analyzing clinical data, designing research studies, and applying advanced statistical models.
  • Provide students with deep knowledge of statistical analysis techniques using the latest tools and software such as R, SAS, SPSS, Python.
  • Qualifying students to understand and apply ethical standards and privacy in analyzing health data in accordance with international laws.
  • Preparing cadres capable of interacting with multidisciplinary teams in the medical and health fields, and working in advanced research environments.
  • Develop students' abilities in preparing research reports, interpreting statistical results, and transferring knowledge to decision makers in health institutions.
  • Enhance communication, critical analysis, and presentation skills to ensure that graduates are able to present their results clearly and accurately to stakeholders.
  • Supporting training programs and workshops in cooperation with academic institutions, hospitals, pharmaceutical companies, and public health organizations to provide students with advanced practical experience.
  • Enable students and researchers to analyze clinical and epidemiological data to support health policies and make informed evidence-based decisions.
  • Develop analytical models that help predict the spread of diseases and evaluate the impact of health interventions at the level of individuals and communities.
  • Improve the ability of health institutions to analyze big data to enhance the quality of medical services.
  • Supporting the process of evaluating the health performance of hospitals and medical programs through vital statistics tools.
  • Design and apply statistical models to study mortality rates, chronic diseases, and quality of healthy life.
  • Analyze clinical trials of new drugs and treatments to ensure their effectiveness and safety.
  • Providing analytical solutions that contribute to improving the management of health crises and epidemics by studying patterns and predicting future trends.
  • Promote applied research that helps governments and health institutions develop effective strategies to prevent diseases and improve community health.
  • Improve clinical data analysis tools to improve diagnostic accuracy and assess health risks.
  • Integrating statistical analysis with bioinformatics techniques to study genetic factors and their relationship to diseases.
  • Emphasizing the importance of scientific research ethics in analyzing health data and protecting patient privacy.
  • Training students on international laws and policies related to the use of medical data.
  • Encouraging students to develop analytical solutions that promote transparency and fairness in health care.
  • Providing practical training that provides graduates with job opportunities in hospitals, medical research centers, pharmaceutical companies, international organizations, and academic institutions.
  • Preparing students for careers in clinical data analysis, statistical consulting, clinical trial management, health research development, and health security.
  • Qualifying graduates to be able to interact with various health bodies, governmental and private, and provide analytical solutions that support the development of health policies.

Teaching methods and strategy

case studies

case studies

The Master of Biostatistics program at Vertex University is based on the analysis and study of realistic experiments in the fields of public health, clinical research, and medical data analysis. Students gain practical knowledge about the statistical challenges facing researchers in these fields. By analyzing successful studies and others that have encountered challenges in interpreting health data, students learn how to develop innovative analytical strategies, improve the accuracy of statistical predictions, and apply advanced methods in evaluating clinical trials using artificial intelligence and Bayesian statistics.

Scientific projects

Scientific projects

The program offers students the opportunity to work on advanced applied research projects that simulate realistic challenges in analyzing epidemiological data, designing clinical studies, and evaluating health policies. This includes developing analytical models to study the spread of diseases, evaluate the impact of health interventions, and analyze big data in medical research, helping to support evidence-based health decision-making. Students are encouraged to use the latest statistical software such as R, SAS, SPSS, Python, as well as machine learning techniques and artificial intelligence in analyzing clinical and genetic data, enabling them to create advanced statistical solutions that support the health sector.

Teaching strategies

Teaching strategies

The Master of Biostatistics program at Vertex University is based on a comprehensive educational approach that combines theoretical study and practical application, giving students advanced skills in analyzing medical data, designing research studies, and applying statistical models in public health and epidemiology. Academic content is delivered through interactive remote lectures, analytical workshops, and realistic case studies to enhance their abilities in analyzing clinical data, evaluating health risks, and predicting epidemiological trends. The program also encourages scientific research, critical thinking, and academic cooperation to keep pace with recent developments in biostatistics, artificial intelligence, and big data analysis.

What can you do with your Master's degree in Biostatistics?

The Master of Biostatistics from Vertex University qualifies its graduates to hold multiple positions in health, research institutions, and pharmaceutical companies, including:

Your gateway to deeply understand medical data and contribute to the development of healthcare globally.

  • vital data analyst
  • Epidemiology Analyst
  • Medical statistical consultant
  • Expert in designing clinical trials
  • Data analyst in pharmaceutical companies
  • Public health researcher
  • Bioinformatics specialist
  • Hospital data analyst

Join the elite in the field of biostatistics and contribute to developing the future of health.

  • Health Risk Analyst
  • Health Policy Researcher
  • genetic data analyst
  • Health data security specialist
  • Health Information Systems Officer
  • Machine learning expert in the health field
  • University professor or lecturer in biostatistics

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Target group for the Master of Biostatistics program

Target group for the Master of Biostatistics program

The Master of Biostatistics program targets a diverse group of individuals seeking to develop their skills in analyzing health and medical data and using statistical methods to support health decisions and medical research. Target groups include the following:

  • Students with a bachelor's degree in health sciences, nursing, or related disciplines, who seek to build a strong career in health data analysis, clinical trial design, and health policy evaluation.
  • Specialists working in medical research centers, hospitals, pharmaceutical companies, and public health organizations who aspire to enhance their skills in analyzing clinical data, designing research studies, and developing statistical models to study diseases and their spread.
  • Professionals who want to move into the field of health data analysis and biostatistics, and gain the skills needed to work in medical research, design clinical studies, and evaluate health programs.
  • Emerging entrepreneurs in the field of digital health and biotechnology who seek to analyze health data, develop solutions based on artificial intelligence in predicting diseases, and improve the quality of health services through biostatistics.

Enhance your professional skills with international certifications

+ Certified Statistical Analyst Certificate

This certification qualifies biostatistics specialists to use advanced statistical methods in the analysis of medical and health data, enhancing their ability to design research studies and interpret statistical results accurately.

+ Specialist certification in medical data analysis

This certificate enables holders to use modern statistical tools and data analysis software such as R, SAS, and Python to analyze health records and epidemiological data, thus contributing to improving the quality of health care.

+ Certificate in Bayesian Statistics and Medical Machine Learning

This certification qualifies specialists to use Bayesian statistics and artificial intelligence techniques in analyzing health data, helping to predict the spread of diseases and analyze health risks.

+ Certified Epidemiology Data Analyst

This certification focuses on the analysis of epidemiological data and the application of statistical methods to study the spread of diseases and evaluate health interventions, making it of great importance in public health and epidemiological research.

+ Specialized certificate in medical statistical software

This certificate focuses on mastering the use of specialized statistical programs in the analysis of medical data such as SAS, SPSS, and STATA, which enhances the ability of its holders to perform statistical analyses efficiently in the research and medical fields.

+ Certificate in big data applications in healthcare

This certification enables specialists to analyze and process big data in the health sector, helping improve health system management, predict health trends, and support evidence-based medical decisions.

Admission Requirements

  • Regular admission: the student applying for the graduate program must have a bachelor's degree from a reputable university or from the student's country.
  • The applicant has obtained a bachelor's degree in health sciences, nursing, or any related specialty from an accredited university.
  • English language proficiency if the language of instruction in the program is English, with passing the approved language test.
  • Conditional admission: The university may offer conditional admission to applicants until all admission requirements are met (terms and conditions for this category apply).
  • Submit official documents including the original Bachelor's degree and transcript, along with true copies.
  • Fill out the electronic application form through the admission and registration portal at the university.
  • Pay the registration fees and tuition fees prescribed in accordance with the university regulations.
  • Comply with the university's rules and regulations by signing an official pledge.

Required Documents

  • A colored copy of the bachelor's degree issued by the student's country “Ministry of Higher Education”.
  • A colored copy of the student's or family ID for matching.
  • A colored copy of the student's passport.
  • Personal photo (6*4) with a white background.
  • Complete the registration data and sign it by the student.

Requirements for Obtaining Master in MBST Biostatistics Specialization

Number of Credit Hours Required to Complete the Master Degree 33 Minimum Required Credit Hours
Number of Required Academic Semesters 4 Academic Semesters
Number of Semesters per Year 3 Semesters
Annual Credit Hours 45 Credit Hour
Semester Duration 8 to 10 weeks
Expected Duration to Complete the Program 1 year and 18 months

Advantages of this system.

  • Complete the master's degree in a short time: the program can be completed in one and a half years instead of two or three years.
  • Flexible distribution of materials: materials are distributed throughout the year, allowing continuous learning without long interruptions.
  • An intensive schedule: allows you to finish school quickly and is suitable for students who want to enter the labor market as soon as possible.

*This system was designed at Vertex University to enable students to obtain their university degree in a shorter time while maintaining the quality of education and the efficiency of the academic process.

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Frequently Asked Questions about Master MBST Biostatistics

An integrated blend of theory and practice, with realistic projects, health data analysis, and virtual or field training.

The college seeks to obtain CAHME and APHEA accreditation. The curricula are designed according to academic and professional quality standards.

Prior experience is preferred, especially in healthcare administration, but is not a mandatory requirement.

Yes, students can choose a flexible system that fits their practical obligations.

Yes, classes can be temporarily postponed or suspended according to university policy.

Leadership positions in hospitals, health organizations, the government sector, or academic and research work.

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