MSc Accounting & Finance
Sheffield Hallam University, located in the vibrant city of Sheffield in the United Kin...
Sheffield Hallam - City Campus
INTAKE: September
The MSc in Healthcare Analytics and Artificial Intelligence at Sheffield Hallam University is a forward-thinking program that equips students with the skills and knowledge needed to harness the power of data and AI in healthcare.
Data Analysis: Students learn data collection, processing, and analysis techniques, emphasizing the importance of data-driven decision-making in healthcare.
Artificial Intelligence (AI): The curriculum covers AI fundamentals, including machine learning, deep learning, natural language processing, and computer vision, with a focus on their applications in healthcare.
Healthcare Informatics: Students gain insights into healthcare information systems, electronic health records (EHRs), and data security protocols to ensure compliance with healthcare standards.
Clinical Data Management: The program explores the management of clinical data, including data storage, retrieval, and integration from various sources.
Predictive Analytics: Students delve into predictive modeling and forecasting methods, enabling them to anticipate healthcare trends and patient outcomes.
Healthcare Decision Support Systems: The curriculum includes the design and development of decision support systems that assist healthcare professionals in making informed choices.
Ethical and Legal Considerations: Students examine the ethical and legal aspects of healthcare data, privacy, and AI implementation, ensuring responsible and compliant practices.
Research Skills: The program emphasizes research methodologies, enabling students to conduct healthcare-related research and contribute to advancements in the field.
Practical Applications: Students work on real-world healthcare analytics projects, collaborating with healthcare organizations to address industry-specific challenges.
Interdisciplinary Approach: The program encourages collaboration between data scientists, clinicians, and healthcare administrators, fostering a holistic understanding of healthcare analytics.
Industry Partnerships: Sheffield Hallam University maintains strong partnerships with healthcare institutions and companies, providing students with opportunities for internships, placements, and networking.
Final Project: The program culminates in a research or practical project, allowing students to apply their knowledge and skills to a significant healthcare analytics challenge.
Sheffield Hallam - City Campus
IELTS 6.5
£ 16385
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at Sheffield Hallam University are typically required to have a minimum academic achievement of 60% or above in their undergraduate degree or equivalent qualifications.
English language proficiency:English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Sheffield Hallam University offers a range of scholarships to international students to support their academic journey and recognize their achievements. These scholarships are designed to provide financial assistance and enhance the overall student experience.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary from year to year.
Graduates of the MSc in Healthcare Analytics and Artificial Intelligence from Sheffield Hallam University are well-positioned for a range of rewarding career opportunities within the healthcare sector.
Healthcare Data Analyst: Graduates can work as healthcare data analysts, extracting insights from patient data to improve clinical practices and patient outcomes.
AI Specialist in Healthcare: Opportunities exist to become AI specialists in healthcare, developing and implementing AI algorithms for diagnostics, treatment recommendations, and predictive modeling.
Healthcare Informatics Manager: Graduates can pursue roles as healthcare informatics managers, overseeing the efficient use of data and technology in healthcare organizations.
Clinical Researcher: Those interested in research can become clinical researchers, conducting studies to advance medical knowledge and evidence-based practices.
Healthcare Consultant: Graduates may work as healthcare consultants, providing expertise in data analytics and AI to healthcare organizations seeking optimization and efficiency.
Healthcare IT Manager: Opportunities exist to become healthcare IT managers, responsible for the implementation and maintenance of healthcare information systems.
Healthcare Policy Analyst: Graduates can contribute to healthcare policy development by analyzing data and providing insights to policymakers.
Pharmaceutical Data Scientist: Those interested in the pharmaceutical industry can become data scientists, analyzing drug research and development data.
Healthcare Entrepreneur: Entrepreneurial graduates may establish healthcare startups focused on innovative data-driven solutions for the industry.
Healthcare Quality Improvement Specialist: Opportunities exist to work as quality improvement specialists, identifying areas for enhancement in healthcare delivery.
Academic and Researcher: Graduates can pursue academic careers, teaching and conducting research at universities and research institutions.
Healthcare AI Ethicist: With a focus on ethics, graduates can specialize in ensuring responsible AI use in healthcare.