Master of Data Science (Health)
Mathematical Sciences
Taught
MSc
Master of Data Science (Health)
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £14,500 | N/A |
| Northern Ireland | £14,500 | N/A |
| Scotland | £14,500 | N/A |
| Wales | £14,500 | N/A |
| Channel Islands | £14,500 | N/A |
| EU | £34,000 | N/A |
| International | £34,000 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
Introduction to Computer Science
OptionalIntroduction to Mathematics for Data Science
OptionalProgramming for Data Science
Optional
About
The Master of Data Science (Health) program is designed to equip students with essential data science skills, particularly in the health sector. It caters to individuals from various academic backgrounds, emphasizing the importance of data in personalized medicine, smart cities, and sustainable solutions.
Program Highlights
- Accessible to non-quantitative degree holders.
- Learn from practicing researchers across various industries.
- Core modules provide general data science skills.
- Subject-specific modules focus on health data and methods.
Course Structure
The course begins with introductory modules and advances to contemporary techniques,...
Subject Area Information
Medical statistics is a specialized field that combines principles of statistics with medical and health sciences to analyze and interpret data related to health and disease. This discipline is crucial for designing medical research, analyzing clinical trials, and improving healthcare outcomes.
1. Introduction to Medical Statistics
2. Biostatistics
3. Clinical Trials and Experimental Design
4. Epidemiology and Public Health Statistics
5. Advanced Statistical Methods in Medicine
- Understanding of fundamental statistical principles
- Ability to summarize and describe data
- Basic proficiency in statistical software
- Proficiency in applying complex statistical techniques to biological data
- Interpreting results from medical studies
- Ability to design robust clinical trials
- Competence in designing epidemiological studies
- Advanced analytical skills
- Ability to apply machine learning techniques to medical data
Career
Medical statistics is a vital discipline that provides the tools and methodologies necessary for analyzing medical data and improving healthcare outcomes.
Biostatistician
Working in academic, government, or private sectors to design and analyze biological experiments and clinical trials.
Clinical Data Manager
Overseeing the collection, management, and analysis of clinical trial data to ensure accuracy and compliance with regulatory standards.
Epidemiologist
Conducting research to understand the patterns, causes, and effects of health and disease conditions in specific populations.
Public Health Analyst
Analyzing data to inform public health policy and programs, and evaluating the effectiveness of public health interventions.
Medical Researcher
Designing and conducting studies to advance medical knowledge and improve patient care.
Similar courses
Contact
Enhance your academic journey with the help from our experts.
Contact
Enhance your academic journey with the help from our experts.