Bachelor of Arts (Honours) in Data Science and Analytics

at University of Westminster - Cavendish Campus United Kingdom

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.

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.     

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

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.

Nutrition has long been recognised as a vitally important determinant of health status within both industrialised and industrialising countries. Significant changes are occurring in the profile of nutritional problems. Many countries continue to face problems of malnutrition and micronutrient deficiencies, but countries in economic transition also face the public health challenge of rising rates of diet-related chronic disease, such as obesity and coronary heart disease. Also, many industrialised countries now face problems of food insecurity among low-income groups. These challenges have led to growing political resources to address nutrition.

This course will give you the specialist scientific knowledge and practical skills to take an active role in global public health nutrition in a range of different settings.

You will be introduced to policy making, leadership and governance frameworks. You will be encouraged to explore and debate the political and social influences underpinning policy implementation and impact.

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 innovative Master's degree aims to equip students with the skills, knowledge and strategic approach to develop and analyse social change campaigns and activism, with a particular focus on the role of communications and the media. This is the only postgraduate programme of its kind, and has a flexible delivery to suit both full-time and part-time students.

The course builds on our close links with leading campaigners and communicators in London's vibrant social change sector. An advisory panel, with representatives from Amnesty UK, Friends of the Earth, Save the Children, WaterAid, SumOfUs, Advocacy Hub, Campaign Bootcamp, FairSay and The National Council of Voluntary Organisations among others, will ensure we always reflect the skill sets in demand and deliver an exciting learning experience. A limited number of work placements and internships will be available.

On this course, you'll examine how nutrients and eating patterns impact health and well-being, and the role of diet in both health and disease.

Public and media interest in what we eat has never been greater. Emerging as one of the most popular sciences, Human Nutrition integrates knowledge from diverse areas of science to present a unified view of this dynamic discipline and its applications.

We have well-equipped labs in all bioscience disciplines, including a suite of biochemical test facilities for nutritional analysis, whole-body metabolism and determination of body composition.

A lively research culture informs our teaching, and is re?ected in our curricula specialising in both Global Public Health Nutrition and Sport and Exercise Nutrition. Our current research includes, but not limited to, local/global food security issues encountered by families, lifestyle interventions for metabolic health related diseases, and the ability to change nutritional behaviour through the use of technology.

In Years 2 and 3, students on the degree can choose to follow a theme focusing on Human Nutrition or on Human Nutrition with Exercise Science, which focuses on the role that exercise and nutrition play in all aspects of human health and disease.

The course presents you with an understanding of the molecular and physiological basis of the relationship between nutrition and human health and performance. You will study modules which cover the relevant aspects of human nutrition, physiology, public health nutrition, diet in health and disease, biochemistry, psychology, health and exercise practices.

Top reasons to study with us

• Make the most of outstanding facilities – we have well-equipped labs in all bioscience disciplines, including a suite of biochemical test facilities for nutritional analysis, whole-body metabolism and determination of body composition
• Boost your career – this course is accredited by the Association for Nutrition (AfN) and graduates from this course are eligible to join the Register as an Associate Nutritionist
• Learn from expert speakers - expert speakers deliver research seminars and ‘academic conversations’, introducing students on the course to cutting-edge research and scientific developments

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.