Master of Science in Sport and Exercise Nutrition

at University of Westminster - Cavendish Campus United Kingdom

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

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.

Biomedical science is concerned with the detailed study of the human body, both in health and disease, with emphasis on the diagnosis and understanding of disease states and the mechanisms involved.

In Year 1 you'll study the important fundamental sciences, including biochemistry, cell and molecular biology, and human anatomy and physiology.

In Year 2 you'll develop your understanding of a wide range of disease processes, combined with the principles of laboratory procedures used to aid diagnosis and treatment.

Between Years 2 and 3, the sandwich placement is an excellent opportunity to experience the reality of work, usually in a biomedical diagnostics laboratory, pharmaceutical industry or a research institute. You will put into practice what you have learned at the University, learn new skills and gain hands-on laboratory experience. All placement opportunities are competitive and you will have the support and guidance of your department, the Career Development Centre and the University’s Placement Officer.

As part of the placement year you will undertake an academic module which will contribute to your degree and, where applicable, undertake the Institute of Biomedical Science Certificate of Competence. Sandwich year placements can be in the UK or abroad. 

In Year 3 you'll focus on the study of the complex nature of disease as it affects particular biological systems. You'll also study the laboratory procedures used in haematology, clinical immunology, cellular and molecular pathology, clinical biochemistry and medical microbiology, to diagnose and monitor disease. You'll also undertake a major research project, which will enable you to develop the skills you need for genuine scientific inquiry.

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

Our course examines the best ways to design, build, maintain and evaluate software systems. It uses many of the technical aspects of computer science, especially programming, and aims to develop the professional attitudes, interpersonal and technical skills you’ll need in the software engineering industry.

The course provides a solid foundation in software engineering theory and practice to develop professional software systems. It will equip you to take up a wide range of career opportunities, including software engineer, web application programmer, software designer/analyst or website designer/programmer.

You’ll study software development, programming languages, technologies and applications including Python, Java, HTML, PHP, UML, database technologies, machine learning, algorithms and data structures, web and mobile computing, Agile software development, Big Data technologies, cloud computing, concurrency and formal methods. Sharing a common first year with the Computer Science BSc Honours course to which you can transfer in Year 1, you specialise is Software Engineering from Year 2.

In Year 4 (Master's level), our integrated Master's course enables you to extend your knowledge and experience of software engineering gained at the BEng level by studying and developing systems of increased complexity, gaining a developer knowledge of new paradigms and studying advanced issues around cybersecurity – threats facing businesses and organisations that depend on IT systems.

In addition, you’ll have the opportunity to undertake a year in industry (work placement) after completing the second year of your study. This will help you gain work experience and enhance your employability after you graduate. You’ll be offered help and support to find and secure placement opportunities through various workshops and events organised by the Careers and Employability Service and the course team. Typically, you will be assigned into roles involving tasks related to software engineering.

Top reasons to study with us

• Our integrated Master's course will give you advanced software engineering knowledge
• Our course will help you develop your problem-solving skills. We practise problem-based teaching, allowing you to develop your skills in analysing problems within contexts so you can find the best technological solutions
• You'll be involved in real-life projects and gain hands-on experience of working either individually or in a software development team
• Our course reflects the dynamics of the software industry – you'll learn state-of-the-art techniques and subjects such as machine learning, AI algorithms, robotics and smart systems, the Internet of Things, Big Data technologies, complex heterogeneous systems, and cloud-based, distributed and parallel software solutions
• 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.

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.

The amazing feats of world-class athletes across the huge range of sports has projected the issues of performance into the public eye, and sports nutrition is now recognised as a key part of supporting training and competition at all levels of participation.

The Master's degree in Sport and Exercise Nutrition at the University of Westminster offers the chance to study the science behind sports nutrition and its applications for both the 'weekend warrior' and the elite athlete. It also puts the controversies surrounding the use of supplements under scientific scrutiny, looking at the key evidence for and against performance benefits.

The aim of the course is to produce sports nutritionists who are strongly focused on the science behind the subject, but who also have some experience of the practicalities of delivering sound guidance to individuals and teams who are looking to use nutrition as part of their training programmes. To this end, a number of guest lecturers contribute their expertise in key related areas.

Our course examines the best ways to design, build, maintain and evaluate software systems. It uses many of the technical aspects of computer science, especially programming, and aims to develop the professional attitudes, interpersonal and technical skills you’ll need in the software engineering industry.

The course provides a solid foundation in software engineering theory and practice to develop professional software systems. It will equip you to take up a wide range of career opportunities, including software engineer, web application programmer, software designer/analyst or website designer/programmer.

In addition, you’ll have the opportunity to undertake a year in industry (work placement) after completing the second year of your study. This will help you gain work experience and enhance your employability. You’ll be offered help and support to find and secure placement opportunities through various workshops and events organised by the Careers and Employability Service and the course team. Typically, you will be assigned into roles involving tasks related to software engineering.

Top reasons to study with us

• Our course will help you develop your problem-solving skills. We practise problem-based teaching, allowing you to develop your skills in analysing problems within contexts, so you can find the best technological solutions
• You'll be involved in real-life projects and gain hands-on experience of working either individually or in a software development team
• Our course reflects the dynamics of the software industry – you'll learn state-of-the-art techniques and subjects such as machine learning, AI algorithms, robotics and smart systems, the Internet of Things, Big Data technologies, complex heterogeneous systems, and cloud-based, distributed and parallel software solutions
• 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.     

Software engineering is the application of engineering methods, practices and disciplines to the creation and maintenance of software applications and systems. A professional software engineer works with these engineering approaches to develop software in a systematic, quantifiable and disciplined way.

By choosing this course, you’ll get the essential practical experience of programming and applying software engineering to a number of new and important areas of IT and computing. In addition, you’ll develop a strong grasp of the theory that underpins these practical skills.

To ensure that you have the best possible employment prospects at the end of the course, you’ll gain skills that cover a variety of areas: technical skills, such as programming, object-oriented software development, practical experience of software development tools; soft skills, such as analytical and critical thinking, communication, presenting and demonstrating, team working, and peer reviewing; and career skills, such as CV writing, planning, job searching, interview practice.

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.