Biotechnology with Data Analytics MSc

University of Bedfordshire

Specifically designed for graduates without a background in computing, this two-year MSc prepares you to combine ground-breaking biological discoveries with data and IT skills to tackle some of our planet’s most urgent challenges. You study the technologies at the forefront of molecular, microbial and computational biology while gaining a solid foundation in data analytics. With employment-focused skill development, hands-on laboratory experience and opportunities for real-world research, you graduate ready to succeed in a range of roles within this rapidly progressing field.What will you study?Studying our Biotechnology with Data Analytics MSc course will equip you with the knowledge and expertise in the combined areas of molecular biology, microbiology, computational biology and information technology. In core areas of study, you will learn about the applications of Molecular Biology techniques used to analyse and manipulate DNA, RNA and protein, and gain extensive knowledge in the field of Applied Microbiology that will equip you with the skills to modify microorganisms to meet industrial and pharmaceutical needs. As an essential skill in biotechnology, you will be equipped with the knowledge and techniques to incorporate Analytical Methods in your practice. This will allow you to learn strategies for the separation, detection and measurement of components in complex mixtures.Furthermore, you will be introduced to the concepts and principles in the development and clinical application of Biomaterials used to treat human disease and injury. This unit will expose you to the health issues associated with the development of artificial organs, plastic surgery, implants and bone reconstructions. More importantly, you will examine the biological mechanisms and clinical problems involved in these processes with a focus on immunological rejection. To give you an insight into how biology and technology come together in practice, our unit in Computational and Systems Biology will provide you with the knowledge and techniques to incorporate computational biology practise into your research. Here, you will work with biological data using computer software packages made for bioinformatics and systems biology and learn to interpret and present this information in the form of a hypothesis backed by research evidence.In areas of data analytics, you will be introduced to Data Modelling, Management and Governance methods and techniques alongside database theory. This unit will equip you with the knowledge to use the appropriate tools to build database systems using industry standard software and apply these systems to your chosen field of interest. To add to this, our unit in Developing Independent Research will support you in producing a good research proposal where you will learn to present your critical evaluations conclusions to a professional standard. In addition, to prepare you for your career, our Personal Professional Development unit will support your career progression by enhancing your employability skills as you shape your own professional development journey and goals with help from our scheduled coaching.To diversify your skills further, our unit in Computer Networks and Security is relevant to a wide range of career pathways including software development, business and risk management and cyber or data security. This unit will introduce you to core principles of cybersecurity while providing you with the fundamentals on how computer networks operate. Finally, you will complete a Biotechnology Research Project that will give you the opportunity to undertake a significant piece of personal research which you will then present professionally.CareersThis course will support you to seek a career in the biotechnology industries pharmaceutical and food companies academic institutions health-related industries including the NHS and