Bioinformatics (with Advanced Practice) MSc

You gain advanced bioinformatics knowledge and practical data analysis skills, and the core knowledge and computational practices used in the bioinformatics field. Emphasis is given to the application of state-of-the-art bioinformatics and computational biology approaches to problem solving in relation to high throughput microarray, next generation sequencing and functional genomics datasets derived from real or simulated research scenarios.

You undertake a research or development internship to gain additional experience, enhancing your employability and academic learning.

You explore advanced topics in biochemistry with special focus on clinical applications and diagnostic techniques. This involves the study of clinical analysis of bodily fluids and other biological materials to aid in the diagnosis, therapy and monitoring of a variety of diseases. You will acquire the knowledge necessary for understanding the essential concepts of clinical biochemistry and of the associated diagnostic techniques.

This module provides you with the core principles and practical skills to apply state-of-the-art computational methods to perform data analytics. The skills are very important in the new horizon of data analysis where existing massive amount of data contains valuable knowledge, which is critical for prediction and decision-making. Due to its characters (3V: volume, velocity, and variety), computational methods are required to extract such knowledge.

You form a solid foundation of both descriptive and predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions and decisions based on data. Practical guidance about how to handle unlabelled, noisy, incomplete, large-scale data is discussed and you learn how to select the best technique to handle different type of data in different scenarios.

You gain an in depth understanding of advances genomics, proteomics and bioinformatics knowledge and their applications in specific disease state. You learn about the most recent technologies including next generation gene sequencing, genome editing, genomic and bioinformatics analyses. This module also explores the genomic application for disease treatment and prevention (pharmacogenomics), personalised medicine as well as ethical challenges in this field.

You undertake a major independent practical research project in your discipline where you are fully integrated within a research team. Reflecting staff expertise, you will be able to pursue many discipline-related topics, including medical, industrial and environmental microbiology, molecular, cell and system biology, recombinant DNA technology, protein biochemistry, structural biology, fermentation, bioengineering and many other areas, using the state-of-the-art analytical and digital infrastructure at the National Horizons Centre. You will complete a hypothesis-driven project utilising appropriate discipline-specific laboratory, database or computational research methodologies to interrogate a hypothesis in a specialised area of the life sciences. You will be expected to work at a level recognised to be at the forefront of the discipline. Supervisors will provide guidance to support you but a high degree of autonomy is required.

This module introduces programming, data types, use of algorithms involving repetition and conditional execution. Through a series of problem solving computer lab practicals you will explore the development of well-structured programs and data structures, with attention to maintainable, robust, reliable, and reusable code, and thorough testing.

You gain a deep understanding of infectious disease and will cover a wide range of medically-important human pathogens. Key aspects of pathobiology will be taught including pathogen genomics and evolution, bioinformatics, and the cellular and molecular biology that underpin these host pathogen interactions. Subversion of key mammalian cell biological processes, including immunology, that are targeted by pathogens will also be described. Advanced laboratory techniques and bioinformatics will be introduced that are commonly used to uncover mechanisms of pathogenesis.

You explore the pathophysiological basis of diseases commonly associated with the central nervous system, including Alzheimer’s disease, Parkinson’s disease, epilepsy and stroke. The module will explore the genetic, molecular, cellular and neurochemical pathways involved in diseases of the central nervous system and how such abnormalities manifest clinically. It will also examine the various treatment strategies available for such diseases.