The aim of the course is to provide you with a fundamental understanding of drug research and development and treatment of relevant human diseases, and practical experience of new technologies including Data Analytics applied to relevant areas of pharmacology at an advanced level, and to provide opportunities for specialisation through a choice of project in one of the four following main themes – (i) cell and molecular biology, (ii) molecular pharmacology, (iii) drug discovery and development, (iv) clinical pharmacology and therapeutics. These will provide graduates with the exper...
The aim of the course is to provide you with a fundamental understanding of drug research and development and treatment of relevant human diseases, and practical experience of new technologies including Data Analytics applied to relevant areas of pharmacology at an advanced level, and to provide opportunities for specialisation through a choice of project in one of the four following main themes – (i) cell and molecular biology, (ii) molecular pharmacology, (iii) drug discovery and development, (iv) clinical pharmacology and therapeutics. These will provide graduates with the expertise for subsequent employment in organisations undertaking these techniques and/or research. The Data Analytics Units are designed for non-computing graduates who are looking to apply information technology to their current career, or who are looking to change their career direction. These Units covers a wide range of topics including programming, databases, security, project management and computer networking. During the course you will learn the underpinning theory of these topics, and you will apply this theory in practical scenarios.
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Course Details
Information
Study Mode
Full-time
Duration
2 Years
Start Date
02/2026
Campus
Luton Campus
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
B22
Points of Entry
Unknown
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