MSc in Healthcare Analytics
About This Program
The MSc in Healthcare Analytics brings together our expertise in healthcare, data science, and business analytics to create a unique program offering for current and future healthcare professionals. Under the expert guidance of Dr. Pariksith Singh, a renowned physician, founder, and healthcare leader, and Dr. David Lopez, an accomplished data scientist with extensive academic, research, and industry experience, the program has been designed to provide students with the analytical, technical, and communication competences to drive improvement in quality, utilization, operations, and other areas of healthcare management.
The main objective of this program is the training of recent graduates to help them land their first job as entry-level data scientists or analysts in health-related industries and organizations. The program will also support healthcare professionals already in managerial or oversight roles who are seeking to create data-driven solutions for complex problems in their areas and organizations.
The program adopts a Problem-Based Learning (PBL) approach to design and deliver the modules of the program. PBL is increasingly considered an effective instructional approach to facilitate students' attainment of the high-level competences and transferable skills increasingly being demanded by industry and the public sector.
The program is structured in 3 stages:
- Stage 1 will ensure that students acquire advanced programming skills and statistical analysis and data visualization techniques.
- Stage 2 will introduce students to machine learning techniques and generative AI and allow them to apply their skills in healthcare contexts to solve problems and drive decision-making.
- Stage 3 will provide students with the latest knowledge of healthcare delivery models and services and understand how to apply their analytical, technical, and communication competences to drive improvement in quality, utilization, operations, and other areas of healthcare management.
Why Choose This Program?
- Bridge the gap between healthcare expertise and data science skills
- Learn from both healthcare industry leaders and data science experts
- Apply analytics to improve quality, utilization, and operations
- Develop competencies demanded by healthcare organizations
- Flexible online format designed for healthcare professionals
"Learn from a curriculum shaped around MSc in Healthcare Analytics and designed to support practical, career-relevant outcomes."
Program Highlights
- 1Start Dates: Rolling admissions throughout the year
- 2Duration: 12 courses at your own pace
- 3Format: Fully online, asynchronous learning
- 4Credits: 36 credit hours ($444 per credit)
- 5Unique combination of healthcare and data science expertise
- 6Led by Dr. Pariksith Singh and Dr. David Lopez
Who's It For?
Healthcare Professionals
Clinicians, administrators, and quality managers who want to leverage data analytics to improve patient outcomes and operational efficiency.
Data Professionals
Analysts and data scientists interested in applying their quantitative skills specifically to healthcare challenges and datasets.
Health IT Specialists
Health informatics and IT professionals looking to deepen their analytical capabilities in clinical and operational contexts.
Public Health Practitioners
Public health professionals seeking advanced analytics skills to drive evidence-based decision making in healthcare policy and programs.
What You'll Learn
Our 12-course curriculum integrates data science fundamentals with healthcare-specific applications. From Python programming to healthcare quality optimization, you'll develop the complete skill set for success in healthcare analytics.
12 courses · 36 total credits
Learning Outcomes
Graduates will develop analytical, technical, communication, and healthcare-specific competencies essential for driving improvement in healthcare organizations.
Analytical Competencies
Build statistical models and understand their power and limitations.
Design an experiment.
Apply problem-solving strategies to open-ended questions.
Determine when to use generative AI in healthcare contexts.
Translate business requirements into technical specifications.
Design and adapt secure generative AI systems in healthcare contexts.
Technical Competencies
Acquire, clean, and manage health data.
Handle and analyze massive health datasets.
Use machine learning and optimization to make decisions.
Assemble computational processes to develop data science using widely available market tools.
Communication Competencies
Visualize data for exploration, analysis, and communication in healthcare contexts.
Collaborate with other functional teams.
Perform reproducible data analysis.
Conduct data science activities mindful of policies, privacy, security, and ethical considerations.
Utilize generative AI-based systems consistent with privacy best practices, ethical principles, and security.
Healthcare Competencies
Demonstrate a practical understanding of care model concepts, funding and reimbursement models, basic organizational decisions, and patient population selection and coverage.
Demonstrate a practical understanding of quality, utilization, and operations in a healthcare context and the ability to apply analytical, technical, and communication competencies to improve outcomes for patients and providers.
Career Opportunities
The MSc in Healthcare Analytics opens doors to specialized roles at the intersection of healthcare and data science.
Healthcare Data Scientist
Healthcare Analyst
Clinical Data Analyst
Health Informatics Specialist
Healthcare Business Intelligence Analyst
Quality Improvement Analyst
Healthcare Operations Analyst
Our Career Services team is here to help you achieve your professional goals.
What's It Like to Study Here?
Discover how our flexible online platform, dedicated support team, and vibrant student community make Vedere University the ideal place to advance your career.
Flexible Online Learning
Study on your schedule with asynchronous courses designed for working professionals.
Dedicated Support
Access to academic advising, technical support, and career guidance.
Student Community
Connect with peers through live sessions, discussions, and collaborative projects.
Ready to Transform Healthcare with Data?
Join the growing field of healthcare analytics and drive meaningful improvements in patient outcomes.