Bachelor of Science (Honours) in Computer Science with year abroad

at University of Westminster - Cavendish Campus United Kingdom

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.

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.

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.

The course will allow you to expand your understanding of immunology, immunopathology and immunotherapy, to further develop skills in analytical approaches to immunodiagnosis and molecular therapeutics, as well as enhance your competence in the design and execution of a laboratory based project. You will be able to take a proactive role in research, development, evaluation and implementation of current immunological techniques while perceiving the subject in the broader perspective of health care and scientific progress.

The scope of the modules included will ensure a breadth of knowledge appropriate for the scientific and professional needs of practising immunologists, at the same time making use of your knowledge and experience. This course is designed so that you can plan your own taught programme to match your interests and experience by combining core and optional modules with emphasis on therapeutics, diagnostics, haematology or public health.

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 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 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.

Security is a vital aspect of any networked system, especially as the dependency on network infrastructures has grown over the past few decades. This course builds on more than ten years of experience in education in network design and support, and its aim is to produce network engineers with a strong background in security.

The course focuses on three main aspects – communication, network design and implementation, and security. You'll develop the knowledge and technical expertise to be able to take on specific responsibility within a network team or as a team leader for the security aspects of that network, particularly in industries such as banking, where security is crucial.

Our graduates have gone on to work in the banking sector, as well as organisations such as BT, HP, Cisco, Dell, Google Enterprise, Huawei Technologies and Quinix, as well as smaller private companies.

Top reasons to study with us

• Develop the skills you'll need – learn application-oriented networking skills and know-how
• Gain industry insider knowledge – benefit from expert-led workshops that will help you develop in-demand skills
• Explore our exciting location - our course is based right in the heart of London, one of the world's technology hubs

The Psychology MSc is a conversion course accredited by the British Psychological Society (BPS), designed for graduates who wish to pursue a career in psychology but who need to acquire the Graduate Basis for Chartered Membership (GBC) of the BPS.

You don't need to have studied psychology to be eligible for this course, however, you should note that it's an intensive course and requires hard work and independent full-time study outside of the contact hours.

We welcome applications from graduates with upper second class degrees who've either completed a degree in another subject or who have insufficient psychology in their degree to be eligible for GBC.

You'll take modules at Master's level in core areas of psychology, as specified by the BPS. You'll also take one option module in psychology from a selection available within the department. We offer a work experience in psychology module as an option if you would like to gain valuable experience in the workplace.

Our course curriculum covers the core areas of psychology stipulated by the BPS for GBC (biological psychology, cognitive psychology, developmental psychology, individual differences, social psychology, conceptual and historical issues in psychology, research methods, empirical project). In all of our modules there is a strong emphasis on critical evaluation of theory and practice.

Computers are central to all aspects of our daily lives; as industries ranging from communications to banking have come to rely on them, the need for improved computer security has never been greater. This course focusses on two aspects of Cyber Security: analysis and assessment of risk plus how to minimise it, and, how to extract and use digital information from a wide range of systems and devices. The course is structured so that all students cover the same introductory material, but then choose to specialise in either Cyber Security or Digital Forensics.

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.