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University of Birmingham: Health Data Science
| Institution | University of Birmingham View institution profile |
|---|---|
| Department | School of Medicine |
| Web | https://www.birmingham.ac.uk |
| Study type | Taught |
Summary
This unique programme provides a blend of theoretical knowledge and practical experience, preparing graduates for impactful careers in the rapidly growing field of health data science. We will equip you with skills in AI, health data and advanced computing required to shape the future of the clinical and biomedical worlds.
Learn about the breadth of health data science and AI. Our programme explores everything from medicine, biology, and healthcare systems to ethics, clinical practice, machine learning, mathematical modelling, and computer science.
Throughout our course, you’ll also gain hands-on experience tackling real-world data analytics problems and developing practical solutions.
What makes this course different? This programme takes you into the fascinating world of cutting-edge technology, health data, and the limitless potential of artificial intelligence. We’ll teach you how to design, perform, and enhance analyses using the latest methods and technologies to address practical medical and clinical questions.
You'll learn about the breadth of health data science and its applications. We'll teach you how to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions.
In addition, you'll receive comprehensive training in clinical bioinformatics, health informatics, epidemiology, clinical systems, integrated multimodal data analysis, and omics analytics. Our approach ensures you gain the skills needed to innovate and excel in the evolving landscape of health data science.
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Develop Computational Expertise: Acquire essential computational techniques for analysing health data, with no prior computing experience required.
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Explore Healthcare Systems: Gain in-depth knowledge of healthcare systems, including their operational structures, ethical considerations, and governance frameworks.
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Harness Transformative Potential: Discover how health data science can revolutionise healthcare by leveraging patient-specific information, such as electronic health records and genomics, to drive advancements in research, clinical care, and innovation.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Honours degree in Biology, Mathematics, Computer Science or other relevant subject. |
| Location | Main Site Academic and Student Division Birmingham B15 2TT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Honours degree in Biology, Mathematics, Computer Science or other relevant subject. |
| Location | Main Site Academic and Student Division Birmingham B15 2TT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Honours degree in Biology, Mathematics, Computer Science or other relevant subject. |
| Location | Main Site Academic and Student Division Birmingham B15 2TT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 Honours degree in Biology, Mathematics, Computer Science or other relevant subject. |
| Location | Main Site Academic and Student Division Birmingham B15 2TT |
Birmingham offers over 600 taught postgraduate programmes to help students widen their skills base, further their knowledge and boost their career prospects. Its wealth of research opportunities involve the completion of original academic research, or a piece of scholarship, which students will conduct under expert supervision from a Birmingham academic.
The value of the postgraduate study is both inherent and transferable, helping students to develop as a person, boost their professional prospects or even change direction in their career.
Beyond the transferable skills that students will take into the workplace, a postgraduate qualification from Birmingham will give …
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