Master of Science in Applied Biotechnology

at University of Westminster - Cavendish Campus United Kingdom

This exciting interdisciplinary degree considers how the structure and function of the brain gives rise to mental processes while it interacts with its physical, social, and cultural environment.

Cognitive and clinical neuroscience blends theoretical, experimental and applied aspects of psychology with neuroscience, and overlaps with other psychological disciplines including physiological, cognitive and clinical psychology, developmental science, psychopharmacology and neuroanthropology.

Our unique course places a particular focus on brain-behaviour relationships, by bringing together evidence from molecular and cellular neuroscience, brain injury studies, neurological illness, and also looks at developmental and cognitive aspects. It explores a wide range of research-based and clinically relevant methodologies including brain imaging, computational modelling and comparative cognition (considering evolutionary and developmental approaches).

During your degree, you’ll consider all aspects of cognitive functioning, from learning, memory and language through to concepts such as intelligence, decision-making, creativity and consciousness.

Our course will equip you with the skills and knowledge to develop a career across a vast range of highly sought-after employment areas, including academic research, clinical psychology, experimental research, IT and neuropsychology. You’ll also gain the transferable and cognitive skills necessary for lifelong personal and professional development.

This course will enable you to enhance your knowledge and understanding of modern cellular pathology through a range of option modules. In addition, the core modules in cellular pathology are designed to deliver a comprehensive overview of contemporary technical practice in the context of service delivery to the pathologist for diagnostic practice, or for the scientist engaged in cell and tissue-based research.

Our specialist cellular pathology modules are supported by the online use of interactive digital microscopy, for example in pathology case studies, to illustrate the applications of a range of visualisation methods in cellular pathology. Practical experience in research design and methodology is gained through the laboratory-based research project.

This course is highly regarded in both music business education and the industry at large. It will prepare you to become one of the next generation of music industry leaders and entrepreneurs. All teaching staff on the course are currently working in the music industry, and every week there are a number of high-level industry guests. You will need to be a self-motivated and open-minded student, as this is an intense course, but one which can help you to progress your career across a wide range of music business disciplines.

Working with music industry leaders and organisations, the course has developed a unique curriculum. You will be able to combine a strong underpinning of key business skills (entrepreneurialism, leadership, organisational management, and marketing with essential music industry management knowledge (strategic innovation technology, intellectual property and copyright) and academic concepts and theories relevant to the industry today.

This course (previously Business Intelligence and Analytics MSc) addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course stretches the artificial intelligence (AI), machine learning (ML) and decision science themes to Business Intelligence, Data Science and Business Analytics.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, using applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within Data Science, Business Intelligence and Analytics, and how to adapt to these changes.

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools, and methods for data science. These include data warehousing and mining, distributed data management, and the technologies, architectures, and appropriate AI and ML techniques. The second theme will enhance your knowledge of algorithms and the quantitative techniques including AI, ML, and Operational Research (OR) suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop, and Oracle.

Our Computer Games Development course combines technology and creativity in a multidisciplinary way.

The games industry is an expanding and challenging sector with continually evolving ideas and cutting-edge technologies. It requires practitioners to exercise more flexibility in software specifications and functionality, through adapting their approaches to design and management while keeping abreast of broad changes to technology.

This course covers all major technical aspects of the games development process, from design to production. It aims to prepare you for a career in software development with a particular emphasis on computer games. The course provides you with a solid understanding of game technologies, including programming, applied maths, computer graphics and game engines. You'll develop a broad range of knowledge and skills including mobile and web application development, 3D modelling and animation, and human-computer interaction. To enhance student employability, the course offers a number of talks from the creative industry and will support your participation in prestige game competitions and digital fairs, as well as industrial placements and internships.

The primary language you'll learn is C++, but you'll also have the opportunity to engage with other languages and software, such as C#, Python (Machine Learning, Algorithms), JavaScript and Swift for Android and iOS development. For character development we use Adobe Maya, Photoshop, 3DS Max and 3D Coat. The course focuses on using Unreal Engine 4 and Blueprints technology, but students will have the opportunity to engage with any of the commercial engines across the course.

Top reasons to study with us

• Valuable industry insights – our strong links to the sector ensure the course is taught with the games development industry in mind. Our teaching staff includes academics with experience in the games industry, alongside industry advisors who support the course on all work-based learning projects and competitions
• Work experience before graduation – as part of the course, you'll have the option to work for a year in the industry, gaining valuable work experience and boosting your employability
• Successful alumni – our alumni have found positions in companies including Microsoft, Sega, and Marmalade

Our course will provide you with an exciting and unique learning experience, delivered by active researchers who are passionate and knowledgeable about their subject.

We believe strongly in maintaining close links between our research and teaching, which means that you'll be taught by recognised international experts. We are committed to understanding the place of psychology in contemporary society, and our course content is constantly updated to provide a fresh perspective into the human mind.

The course is designed to enhance your chances of successfully gaining employment once you graduate, and many of our past students have pursued careers in clinical, counselling, forensic or occupational psychology. Others have used their degree in related professions, including human resources, management, market research, public relations and social work.

Our course is structured to provide a strong psychology base from the start of your studies. What you study has been designed to meet the requirements for the Graduate Basis for Chartered Membership (GBC) of the British Psychological Society, preparing you for postgraduate training on the path to becoming a Chartered Psychologist.

Between Years 2 and 3 you'll have the opportunity to take a work placement year experiencing work under supervision in a psychological setting. Alternatively, you'll have the opportunity to spend a year studying at one of our international partner universities.

Top reasons to study with us

• You’ll have the opportunity to gain a year's experience on a psychology work placement
• Employability and transferable skills are embedded within the curriculum
• You’ll be eligible for the Graduate Basis for Chartered Membership of the British Psychological Society, if you achieve at least a Lower Second Class Honours degree and pass the Project module

Recent technological advances decreasing hardware costs and the ‘Internet of things’ has led to a rapid explosion in the amount of data generated in a variety of domains, including data-driven science, telecommunications, social media, large-scale e-commerce, medical records and e-health. Big data refers to the ability of exploiting these massive amounts of extremely heterogeneous in structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry used their big data to extract a better understanding of customers’ needs and behaviour, to develop targeted new products and to cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of a big data projects and a shortage of people with the required skills.

This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build your knowledge and understanding of big data systems architectures and to equip you with the range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.

This course allows you to plan your own taught programme to match your interests and experience by selecting modules from a diverse range of option modules from a diverse range offered by the biosciences masters course in the School of Life Sciences, with the advice of the Course Leader. For example, you could combine modules on microbiology and molecular biology or those on haematology and clinical chemistry.

Alternatively, you can combine basic science with study of the communication or commercialisation of science. We also offer the opportunity to consider the increasing role of automation in diagnostic laboratories. Those studying part time are free to develop their module choices as they progress.

Whatever the combination, you will be able to expand your understanding of human diseases, their investigation and therapy, and develop your competence in the design and execution of a laboratory-based project.

Smart computer system engineering is a growing market in today’s computer industry. Embedded systems have become widespread and can be found in almost all modern consumer devices, from washing machines to cars and robots. Computer system technologies are becoming smart and expanding even further to incorporate artificial intelligence (AI) and Internet-of-Things (IoT) connectivity. You’ll study all of these topics throughout our course.

Our Smart Computer Systems BEng is designed around three themes: software/hardware programming, wireless networking and smart technologies. You’ll be exposed to many programming opportunities for a multitude of platforms and operating systems, and acquire an excellent knowledge of networking and client/server programming leading to the latest developments of the Internet of Things ecosystems, security and smart technologies such as smart sensors, robotics, machine learning and artificial intelligence.

Our course aims to provide an exciting, enjoyable and rewarding learning experience, which will serve as a solid foundation for a successful professional engineering career and meet the current demand from employers.

Top reasons to study with us

• Expert-led workshops will help you develop in-demand skills
• An exciting, enjoyable and rewarding learning experience in the heart of London
• Our course will prepare you to be resilient and adaptable to changes that engineering and technology bring
• You'll qualify for free British Computer Society (BCS) academic membership for the duration of your studies. The BCS supports those working in the IT industry and has a commitment to making IT good for society. The organisation has over 60,000 members in 150 countries, and a wider community of business leaders, educators, practitioners and policy-makers. Membership of the BCS will allow you to continue your professional development and enjoy a range of valuable networking opportunities.

Our Data Science and Analytics BSc will give you the combination of analytical, technical and presentation skills to convert data into valuable insights.

In a constantly changing global environment, the massive use of social networks and the Internet of Things are generating a huge and fast-growing amount of data. Data processing is carried out through increasingly complex and sophisticated computer capabilities and algorithmic models, and involves advanced storage technologies such as cloud computing. 

As a result, there is currently a great need for professionals who can process, understand and present this data in an appropriate and effective way. These skills are much needed by businesses, which collect data from customers, partners and from the market in which they operate to support evidence-based decision making. Governments rely on data to improve their policies and deliver better services as well.

Studying our course, you'll develop knowledge of the fundamental principles and technologies that underpin the disciplines of maths, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You'll learn how to apply cutting-edge maths, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues. 

Top reasons to study with us

• Master key data science skills – You’ll learn how to make sense of data using various machine learning algorithms and statistical techniques, and how to use top programming languages such as R and Python for a career in Data Science and Analytics
• Boost your employability – You’ll have the opportunity to experience work-based learning including working for a year in industry, gaining skills that’ll give you an edge in the graduate market
• Use state-of-the-art computing facilities – You’ll have access to 34 specialist labs, various Operating Systems (Windows 10, Unix, Linux and Mac OSX), Microsoft development software for free, and VR hardware available in our labs to develop with
• Develop in-demand skills – Data analysis is a growing industry, with governments and businesses in need of professionals who can analyse data to support key decision-making
• Learn the fundamentals – You'll graduate with knowledge of the fundamental principles and technologies that underpin maths, statistics and computing