Program Overview

Introduction to Business Analytics for Healthcare Management

The MSc Business Analytics for Healthcare Management course is designed to prepare students to work with data effectively in a healthcare context. The course develops a deep understanding of the role of data in informing organizational decisions and processes. Students will learn to design, manage, and deliver data projects, understanding the technologies that underpin these processes and the organizational, legal, and ethical considerations of working with data in a healthcare environment.

Course Structure

The course is structured into three stages, each with specific learning objectives.

Stage 1

In the first stage, students develop the knowledge and skills to use appropriate tools and techniques to collect, manage, and present data. They also develop decision-making processes based on data analysis and gain an understanding of the application of data analytics in healthcare management.

Stage 2

By the end of the second stage, students have developed an understanding of programming concepts relevant to business analytics. They build further knowledge of public health contexts and consider the legal and ethical principles and policies that govern data collection and management.

Stage 3

In the final stage, students research, develop, and deliver a self-directed capstone project. This project integrates the skills and knowledge developed in the earlier stages of the course and can be completed in an area of the student's choosing as an applied analytics project for a live client or problem, or a research-based project in a related area.

Learning and Teaching

The course makes use of both online and on-campus delivery, with modules delivered by the School of Computing, Engineering, and Technology, and the School of Health. Teaching methods include lectures, workshops, live projects, case studies, and industry engagement/mentorship.

Assessment

Students are typically assessed through a variety of methods, including written assignments, portfolios, project outputs, and oral assessments/presentations.

Career Prospects

The course prepares students for a range of analytics roles in healthcare and other sectors, including Health Intelligence Analyst, Healthcare Data Analyst, Business Intelligence Officer, Digital Analytics Officer, and Insight Analyst.

Entry Requirements

Applicants normally hold a 2:2 undergraduate honors degree or its equivalent in any subject area. Applicants with a lower degree classification and/or relevant work experience will be considered on a case-by-case basis. English language requirements apply for applicants whose first language is not English.

Fees and Funding

Tuition fees vary depending on the student's nationality, mode of study, and academic year. Information on fees, scholarships, and funding opportunities is available, including a 20% discount for Robert Gordon University alumni.

Additional Information

The course is supported by various facilities and services, including the university's virtual learning environment, Moodle, and support for students with disabilities. The university also offers a range of scholarships and financial awards to help fund postgraduate study.