MSc/PgDip/PgCert Advanced Science

On completion of this module, students will be able to:

• Identify their current skill set and give specific examples to demonstrate this skill in their current position,
• Critically interpret data and develop conclusions or hypotheses based on their findings,
• Identify their education/skill needs to improve their employment opportunities

Assessment: Continuous assessment

Prerequisites: None

Contact for further information: Dr Katharine Carter

On completion of this module, students will be able to:

• Carry out original research
• Critically interpret data and develop conclusions or hypotheses based on their findings
• Analyse and present their data
• Provide Masters levels knowledge in a key area that is relevant to the career aspirations of the student

Assessment: Thesis based on project/case study (100%)

Prerequisites: None

Contact for further information: Dr Katharine Carter

On successful completion of this class the student will be able to:

1. Describe in the context of pharmaceutical analysis, the principles and application of method validation (accuracy, precision, robustness, reproducibility and repeatability) in the analysis of drugs and other related substances.
2. Describe in the context of pharmaceutical analysis, the key functional groups; physicochemical properties and issues related to stability (or instability) of drugs and other related substances.
3. Demonstrate a critical understanding/analysis of experimental data, ability to use appropriate calculations in the quantitative determination of drugs and other related substances.
4. Demonstrate and integrated knowledge and critical understanding of the principles and application of the qualitative and quantitative chemical analysis (titrimetry) of drugs and other related substances.
5. Demonstrate an integrated knowledge base and critical understanding of the application of statistical methods (experimental design, method and sample size selection and regression analysis) in the development and production of pharmaceutical products.
6. Demonstrate critical understanding/analysis of experimental and clinical data, ability to select the right statistical method for a given study and understanding of graphical and numerical summaries of data sets.
7. Describe in the context of pharmaceutical analysis, the principles and application of chemometrics in the analysis of drugs and other related substances.

Assessment: Coursework and final exam

Prerequisites: None

Contact for further information: Dr David Breen

On successful completion of this class the student will be able to:

1. Understand how to perform titrimetric analysis of pharmaceutical compounds in both the pure state and in formulations.
2. Understand the operation of commonly used spectroscopic analytical equipment (i.e. UV Spectrophotometers, IR spectrophotometers) including their calibration.
3. Understand the use of UV spectrophotometers in quantitative applications on both pure compounds and formulated products. Understand the use of vibrational spectrophotometry in structural elucidation and assay of formulated products.

Assessment: Coursework and practical exam

Prerequisites: None

Contact for further information: Professor Yvonne Perrie

Prerequisites: None

Contact for further information: Dr Steven Ford

On successful completion of this class the student will be able to:

1. explain the principles of cancer biology, its molecular pathology and phenotype.
2. understand how the molecular nature of different cancers can be used to allow personalised cancer therapy.

Assessment: Coursework

Prerequisites: None

Contact for further information: Dr Marie Boyd

On successful completion of this class the student will be able to understand the:

• basic principles of bioprocessing including process kinetics
• importance of and mechanisms for strain/cell line stability and preservation
• importance of medium design, bioreactor design and operation
• principles of mass transfer and its relationship to the success of bioprocesses
• principles of good manufacturing practice and its relevance to regulatory issues
• skills in data/paper interpretation and writing

Assessment: Continuous assessment - written assignment (80%) and in-class contribution (20%)

Prerequisites: None

Contact for further information: Dr Martin Weise

The ‘Essentials of Forensic Science: Theoretical’ class is designed to provide students with a broad introduction to forensic science on which they can build more specialist knowledge. From the recovery of evidence at a crime scene, to presenting evidence at court, this class introduces the practice of forensic science and a wide range of evidence types. 

Students will learn about different legal systems, quality assurance and the ethical considerations of forensic science within the context of the law. 

This class explores the assessment, analysis and interpretation of evidence, including Bayesian statistical approaches, and students will be encouraged to evaluate the evidence in an investigative setting.

Assessment: Examination

Prerequisites: BSc in related science subject

Contact for further information: Dr Laura Reaney

Assessment: Examination and assignment

Prerequisites: BSc in Chemistry/Pharmacy/Engineering

Contact for further information: Dr Alison Nordon

On completion of the class students will be able to:

• appreciate the characteristics of professionalism as it relates to modern data management
• recognise and appreciate the professional aspects of other engineering and related classes in their curriculum, and how those aspects influence practice
• form a sound basis on which they will subsequently be able to practise Information Systems Engineering with a due regard for legal, ethical and social issues

Assessment: Attendance (contributions to discussions) 25%, an individual assignment (50%) and a group assignment (25%)

Prerequisites: None

Contact for further information: Dr David McMenemy

After completing this module participants will be able to:

• understand the fundamentals of Python to enable the use of various big data technologies;
• understand how classical statistical techniques are applied in modern data analysis;
• understand the potential application of data analysis tools for various problems and appreciate their limitations

Assessment: Coursework

Prerequisites: None

Contact for further information: Dr Martin Harvey

After completing this module participants will be familiar with:

• a number of different cloud NoSQL systems and their design and implementation, showing how they can achieve efficiency and scalability while also addressing design trade-offs and their impacts;
• the Map-Reduce programming paradigm

Assessment: Final examination

Prerequisites: Big Data Fundamentals module

Contact for further information: Dr Yasher Moshfeghi

On completion of the module students will:

• Appreciate the characteristics of modern health data management.
• Be able to form a sound basis on which to practise within the digital health and care space with a due regard for legal, ethical, and social issues.
• Recognise and appreciate the professional aspects of other health and care classes within the curriculum, and how those aspects influence practice.

Assessment: Individual assignments (50%) and group project (50%)

Prerequisites: Big Data Fundamentals module

Contact for further information: Dr David McMenemy

On completion of this class students will understand and be able to use:

• main control and flow structures of an imperative programming language
• simple data elements and basic data structures of an imperative programming language
• the main code structure constructs of an imperative programming language

Assessment: Individual lab test (50%) and Individual coursework assignment (50%)

Prerequisites: None

Contact for further information: Konstantinos Liaskos

On completion of this module students will be able to understand and:

• use objects in common object-oriented languages
• develop programs using class based object-oriented programming
• develop programs using template based object-oriented programming

Assessment: Individual lab test (50%) and Individual coursework assignment (50%)

Prerequisites: Introduction to Programming Principles module

Contact for further information: Konstantinos Liaskos

On completion of this class students will be able to:

• display knowledge of the process of designing a database system, starting from an informal specification
• display skill in formulating database queries using SQL
• show an appreciation of the facilities and services which should be provided by a fully featured database management system
• demonstrate knowledge of commonly occurring data models
• demonstrate experience of using a relational database management system in a client-server environment
• display knowledge of potential future developments in database technology

Assessment: Individual assignments worth 50% and a 1-hour written examination worth 50%

Prerequisites: None

Contact for further information: Dr John Wilson

On completion of this module, students will be able to:

• critically examine a number of influential information seeking models
• demonstrate an understanding of research methodologies for studying human information behaviour
• demonstrate an advanced understanding of important concepts, such as relevance, in the context of information seeking and retrieval
• to show how findings from information seeking theory and practice can inform the design of information access systems
• demonstrate an advanced understanding of the theory and technology used to construct modern Information Retrieval and Information Access systems
• demonstrate the ability to critically evaluate the assumptions behind the evaluation of Information Retrieval systems

Assessment: Final examination (two hours)

Prerequisites: None

Contact for further information: Dr Marin Harvey

On completion of this module, students will be able to:

• understand and explain the algorithms behind a number of different cryptographic and communication solutions
• understand and explain a range of different security protocols
• evaluate and existing or proposed system in terms of potential vulnerabilities and recommend the most appropriate security solution to apply
• summarise the key vulnerabilities, threats and attacks with regards to network security and propose suitable approaches to mitigate these issues

Assessment: Coursework assignment (40%) and examination (2 hours)

Prerequisites: None

Contact for further information: Dr Shishir Nagaraja

On successful completion of this class, the student will:

1. Have knowledge of the concepts and terminology relating to nanoparticles, quantum dots and other low dimensional nanostructures.
2. Show an appreciation of modern methods of production for nanoparticles and nanostructures.
3. Have knowledge of the chemical and physical characteristics of nanoparticles and nanostructures, including Surface Plasmon Resonances and fluorescence characteristics.
4. Demonstrate knowledge of the basic spectroscopy and microscopy techniques, associated with characterization of nanoparticles and nanostructures.
5. Have knowledge of how nanoparticle size and shape affect the physical, chemical and spectroscopic properties of a nanoparticle.
6. Be able to compare and contrast the properties of nanoparticles of different materials.
7. Have knowledge of the definition of and basic physical and chemical properties of other forms of nanomaterials such as carbon nanostructures.
8. Appreciate the applications for nanomaterials in modern science and technology, particularly in relation to physics, chemistry and medicine.
9. Show a basic knowledge of the issues relating to nanotoxicity and the ethical issues surrounding the use of nanoparticles in medicine.

Assessment: 80% of level 4 components (80% of final EXAM and 20% in class assessments); 20% level 5 essay

Prerequisites: Quantum physics

Contact for further information: Dr Yu Chen

The course and thus this introductory class is aimed at graduates who have not previously studied statistics at university level. The class will provide the foundation elements of probability and statistics that are required for the more advanced classes studied later on.

This class will introduce the R computing environment and enable you to import data and perform statistical tests. The class will then focus on the understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures.

On successful completion of this class the student will be able to:

1. Analyse experimental data sets 
2. Interpreting data in the context of biological understanding, and come to an informed decision on your next research and development steps 

Assessment: Coursework

Prerequisites: None

Contact for further information: Dr Marie Boyd

On successful completion of this class the student will be able to:

1. Describe in the context of pharmaceutical analysis, the principles and application of chromatography in the analysis of drugs and other related substances.
2. Demonstrate an integrated knowledge and critical understanding of the principles and application of the qualitative and quantitative chromatographic methods (including hyphenated techniques) for the analysis of drugs and other related substances.
3. Describe in the context of pharmaceutical analysis, the key functional groups; physicochemical properties and issues related to the retention and the chromatographic separation of drugs and other related substances.
4. Demonstrate a critical understanding/analysis of experimental data, ability to use appropriate calculations in the quantitative determination of drugs and other related substances.
5. Demonstrate an integrated knowledge base and critical understanding of the application of the principles of chromatography in the design, development and optimisation of chromatographic methods for the quantitative determination of drugs and related substances.

Assessment: Coursework and final exam

Prerequisites: None

Contact for further information: Dr David Breen

On successful completion of this class the student will be able to:

1. Describe the guidelines used to ensure the quality of medicines.
2. Describe the role of the Pharmacopoeias in ensuring the quality of medicines.
3. Demonstrate an understanding of the different sections of a pharmacopoeial monograph.
4. Describe the major techniques used to control the quality of biologically derived drugs.
5. Describe the methods used to extract drugs from biological matrices.
6. Describe how mass spectrometry is used for the assay of drugs in biological matrices.
7. Describe how a bioanalytical method for a particular drug structure might be carried out.

Assessment: Coursework and final exam

Prerequisites: None

Contact for further information: Dr David Breen

On successful completion of this class the student will be able to explain the:

• current clinical modes of radiotherapy and the emerging technologies most likely to provide the next generation of radiotherapy methods such as proton and radiopharmaceutical therapies
• cellular effect of radiation including the strengths and limitation of different radiation methods
• therapeutic use of combination treatment with radiation and chemotherapy or other therapeutic methods such as nanoparticles or biological therapies

Assessment: Coursework

Prerequisites: None

Contact for further information: Dr Marie Boyd

On successful completion of this class the student will be able to:

1. explain medicinal chemistry principles and know what is a "drug" and how to develop one
2. understand the importance of ADMET and PK in drug development
3. explain the key issues in formulation and delivery in novel drug development
4. explain what are emerging biopharmaceuticals and biosimilars

Assessment: Continuous assessment

Prerequisites: None

Contact for further information: Professor Yvonne Perrie

On successful completion of this class the student will be able to:

1. Critically discuss emerging new technologies for drug delivery.
2. Apply their understanding of drug absorption, distribution, metabolism, and excretion to a reasoned explanation for a particular choice of drug delivery system.
3. Understand the rationale for the use of nanomedicines and their design principles using selected examples.
4. Critically discuss the use and selection of biodegradable polymers and liposomes in the formulation of sustained release products.
5. Critically discuss the advances that have been made in gene therapy and the challenges that lie ahead.
6. Explain the rationale underpinning the current technologies applied to the delivery of proteins.

Assessment: Examination (80%), coursework (20%)

Prerequisites: BSc Hons in PharmaceuticalScience (2:2) or equivalent

Contact for further information: Professor Yvonne Perrie

On successful completion of this class the student will be able to understand crystallisation fundamentals and technologies for pharmaceuticals.

Assessment: Examination (70%) and Individual Coursework (30%)

Prerequisites: None

Contact for further information: Dr Steven Ford

On successful completion of this class the student will be able to:

1. Analyse experimental data sets.
2. Interpret data in the context of biological understanding, and come to an informed decision on your next research and development steps.

Assessment: Coursework

Prerequisites: None

Contact for further information: Dr Marie Boyd

On successful completion of this class the student will be able to:

1. Explain what is meant by a 'drug'  is and how to develop one by understanding the importance of ADMET and PK in drug development.
2. Explain the key overriding issues in cancer drug formulation and delivery and how these are important for understanding of the cancer drug discovery pipeline.

Assessment: Coursework

Prerequisites: None

Contact for further information: Dr Steven Ford

On successful completion of this class the student will be able to explain:

• the types of catalyst and reaction system that are included under applied biocatalysis, and the diffuse boundary with fermentation processes
• the key properties required in a practical biocatalyst: activity, specificity, stability
• the meaning of biocatalyst activity and specific activity, and how to calculate them
• the usual real advantages of biocatalysis: specificity, mild conditions, environmental and safety factors
• that some other claimed advantages of biocatalysis are usually not real, especially high rates – and that there are significant disadvantages
• that research, development and application of biocatalysis is a highly interdisciplinary field, with key contributions from molecular biology, biochemistry, microbiology, synthetic chemistry, physical chemistry, process engineering and business

Contact for further information: Dr Martin Weise

The aim of this course is to introduce the advanced use of functionalised nanoparticles and techniques associated with them for characterisation and deployment. In addition to functionalised nanoparticles, functionalised surfaces in terms of nano-patterning and their characterisation and application will also be delivered to the class. The emphasis behind the whole series of lectures will be on the underlying chemistry coupled with the nanoscience relevancy in terms of modern day applications.

Assessment: Examination

Prerequisites: BSc in Chemistry or Physics

Contact for further information: Dr Alastair Wark

On completion of this module students will be able to understand:

• the special nature of mobile application development
• and develop graphical user interfaces for mobile applications
• networking requirements/challenges for mobile application development,  and understand and develop solutions
• the fundamentals of usability for mobile development and run usability testing studies.

Assessment: Individual lab test (20%); Individual Coursework Assignment (30%); and Group Project (50%)

Prerequisites: Introduction to Programming Principles and Object Oriented Programming modules

Contact for further information: Konstantinos Liaskos

On completion of this class students will be able to:

• display knowledge of declarative versus procedural approaches to access databases and the relative benefits/costs associated with each
• display skill to construct complex SQL queries
• demonstrate ability to utilise triggers / stored procedures within a commercial database management platform
• understand how to appropriately embed SQL queries within other programming languages and environments
• display an appreciation for the importance of database indexing in the context of supporting complex queries on ‘big data’
• display knowledge of transactional processes within database systems and understand their relevance to code design and execution

Assessment: Individual assignments worth 60% and a one hour written examination worth 40%

Prerequisites: Database fundamentals module

Contact for further information: Professor Crawford Revie

On completion of this module, students will be able to:

• communicate and apply principles of good business analysis practice
• select tools and techniques for the analysis and design of business information systems
• undertake business analysis as part of system development
• undertake business process modelling and design

Assessment: Individual assignment (50%) and a group assignment (50%)

Prerequisites: Database fundamentals module

Contact for further information: Dr Martin Harvey

This class will cover the fundamental statistical methods necessary for the application of classical statistical methods to data collected for health care research. There will be an emphasis on the use of real data and the interpretation of statistical analyses in the context of the research hypothesis under investigation. Software packages such as Minitab will be introduced.