Bachelor of Science in Marketing

at University of Southampton - Highfield Campus United Kingdom

Artificial intelligence (AI) is set to revolutionise work, leisure and travel in ways we can only imagine. It has the potential to solve global health, social and environmental challenges. On this computer science with artificial intelligence course, you’ll learn to design and build the AI programs and systems behind these exciting developments.

As a highly respected hub for AI research, you'll benefit from a range of specialist modules that few UK universities can match. You’ll also be taught by academics actively involved in the latest advances in AI.

Areas you’ll study include machine learning, computer vision, intelligent agents, game theory and robotics.

You’ll graduate with outstanding career prospects in one of today’s most exciting and rapidly evolving fields of computer science.

As part of your master's you will:

• Learn how to design, build and deliver software programs and systems
• Study AI principles and practice at an advanced level
• Be taught by academic staff at the forefront of research
• Do an individual special project in year 3
• Take part in a group design project in year 4, working with an academic or industry customer

This MEng Computer Science with Artificial Intelligence degree is accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of:

• Fully meeting the academic requirement for registration as a Chartered Engineer

Enhance your understanding of computers with a master's in computer science at the University of Southampton.

This flexible programme allows you to choose modules from our master’s degrees in:

• Artificial Intelligence (AI)
• Cyber Security
• Data Science
• Software Engineering
• Web Science and Technology

By the end of your studies, you will have developed a set of specialised skills in several computer science disciplines. Many of our graduates become software developers, but you could also apply your talents as a consultant, project manager or technical specialist.

Computer science involves the study of computers and the design of software systems. It also informs the fundamental technologies and computing equipment of today’s connected world. At the University of Southampton, we’ve pioneered many of the most important advances in this area over the last 10 years. We’re partnered with the Alan Turing Institute, recognised as an Academic Centre of Excellence in Cyber Security by the UK government, and our researchers helped to establish the European Data Science Academy.

Our researchers create modules based on their own research, which means you’ll get the latest insights and information from the field. We’ll give you access to specialist project labs, computer workstations and online tools to support your learning in an ideal environment.

Our MSc Mobile Communications and Smart Networking master's programme prepares you to become a capable wireless engineer. We'll help you build core areas of expertise, from understanding the fundamentals of wireless transmission, coding and signal processing, to building wireless transceivers and designing intelligent wireless networks.

Wireless communication has had an enormous social impact on our civilisation, and the need for wireless engineers with advanced skills will continue to grow as our world becomes more connected. Future wireless networks will have to intelligently manage a massive number of 'Internet of Things (IoT)' devices in a highly complex environment and in real-time.

This programme will prepare you to become a proficient wireless engineer with in-depth knowledge and the ability to apply it. You'll gain an advanced understanding of areas such as:

• Transmission and coding
• Signal processing
• Transceiver design
• Network design

You'll also have access to outstanding experimental research facilities, including our world-class high-voltage lab and a £110m interdisciplinary clean room.

The key strength of this programme is that we place an emphasis on fundamental concepts and how they relate to recent advances in wireless system and network design. We use real-world examples to emphasise the relevance and importance of these concepts.

Explore the life cycle of software engineering projects and study exciting, specialist topics. On this 4-year master's, you'll learn how to analyse a company’s software needs, then design, test and build a system that meets them. You’ll also develop the problem-solving, planning and teamwork skills that are essential for successful software engineers.

This MEng Software Engineering degree combines hands-on software development with a core knowledge of software engineering. You'll study cutting-edge areas like:

• Programming
• Software modelling
• Distributed systems and networks
• Automated code development
• E-business strategy
• Web development

You don’t need any previous experience in computer science to join the course. For the first programming module you can choose your own level, and if you are a beginner, we can help you get up to speed.

Our main computer lab has over 100 high-spec computer workstations and acts as the department’s social hub. You'll have access to our dedicated facilities, including:

• Software projects laboratory
• David Barron computing laboratory
• Cyber security laboratory
• Centre for hybrid biodevices

Explore all aspects of the nervous system - from the molecular to the behavioural. On this 3-year Neuroscience degree you’ll discover the processes behind neurological disorders and study the wider aspects of physiology, pharmacology and the immune system.

Understanding the human nervous system is one of science’s greatest challenges, with the prevention of neurodegenerative conditions, such as Alzheimer’s disease, and of mental illnesses being a priority for society. Neuroscientists are needed to address these challenges.

On this programme you will:

• Study in the Life Sciences building, a state-of-the-art laboratory, teaching and research space
• Undertake independent projects on a neuroscience topic
• Study with the support of leading researchers

You will also have the opportunity to:

• Spend a year working in the pharmaceutical industry between years 2 and 3
• Spend a semester at a partner university abroad during year 2

This course is intended to give you the means to pursue multiple research career opportunities, whether it’s in the pharmaceutical and medical-device industries, or roles in education, communication and management.

You’ll also be ideally positioned to pursue further study.

Demography is the study of human populations, their size, density and distribution. Discover how to gather and analyse demographic data and population change on our MSc Demography degree. You’ll explore historical and current population trends in developing and developed countries and the social and economic impact of demographic change.

Graduate with the quantitative analysis skills to support social policy-making across a range of sectors.

Understanding demographic change helps strategic decision-making across a range of sectors. From health and social care to local and national government and international organisations. It’s also an important way to inform market research.

On this UK master’s course in demography, you’ll look at issues such as population and reproductive health. You’ll cover demographic methods and approaches, and both qualitative and quantitative social science research methods.

You’ll learn:

• Demography theory and methodologies
• The skills to plan, carry out and share demography research, especially where statistical analysis methods are important
• Research methodologies, focusing on demographic methods, survey design and analysis
• Critical thinking in the context of population sciences.
• How to prepare to become a demographer in areas like government, local authorities, and international health and policy

You’ll benefit from the cutting-edge research conducted in our research centres led by professors from our department:

• Economic and Social Research Council Centre for Population Change
• Centre for Global Health, Population, Poverty and Policy
• Economic and Social Research Council National Centre for Research Method

Develop a deeper understanding of the environment and our relationship with it on this environmental consultancy master's at the University of Southampton.

This master’s degree will give you in-depth knowledge of a variety of topics, including sustainability and environmental law. You’ll graduate with practical skills that will boost your job prospects in a growing field.

Social, technological and environmental change is forcing us to rethink how we live, consume resources, and manage issues like climate, globalisation and demographic change. The world needs experts who can advise large organisations on environmental challenges and opportunities.

On this master’s programme you’ll:

• Gain in-depth knowledge of the functioning and management of the environment
• Develop specialist knowledge in a chosen area of environmental sciences
• Explore the interactions between environment and society
• Complete a substantial research project
• Learn to think critically about the environment in the modern world and conduct independent study on the subject

We’ll teach you to evaluate challenges in the field using data analysis methods and analytical skills. On completion of the programme, you’ll be ready for a wide range of careers in environmental consultancy.

You’ll have opportunities to:

• Work directly with environmental organisations
• vVisit leading environmental and sustainability initiatives (e.g. infrastructure projects)
• Receive professional RGS-IVG accredited CPD training through the GeoData Institute
• Carry out independent project work in the UK

Study MSc Finance and Econometrics to learn advanced econometric techniques and how they apply to finance. Gain both a broad overview and specialised knowledge, including in-depth quantitative skills. You'll be able to work with real-time and historical data in our Financial Laboratory (FinLab).

This full-time UK master’s prepares you for specialist finance roles in corporate, banking or fund management. The course is an Economic and Social Research Council (ESRC) recognised training programme.

You’ll explore the financial markets and how they operate in detail. Your studies include learning about recent developments in econometric techniques and how to apply them to economic and financial data.

Learn how to:

• Understand the theoretical basis of economic and financial analysis
• Formulate, manipulate and draw conclusions from an economic model
• Apply economic and financial analysis in the context of financial markets
• Interpret and critically evaluate economic ideas and research findings
• Test and evaluate economic models using a variety of research methodologies, data and analysis techniques
• Design, implement and manage independent research in finance and economics
• Present ideas, arguments and research findings effectively

You’ll also gain in-depth knowledge of specific areas of finance and econometrics necessary to undertake independent research. This will lead to a dissertation on a subject within an area you choose.

Use our Financial Laboratory (FinLab) as part of standalone training and your dissertation research. The suite hosts 21 trading terminals, giving you access to real-time data, breaking news and powerful analytics.

Use geographical data to solve real-world problems on this master’s degree in applied geographical information systems and remote sensing. On this UK MSc course you’ll use the latest technology and develop key programming and analytical techniques. You'll learn the skills to work in a range of careers, from environmental consultancy to government research.

Gain the knowledge and practical skills to analyse geospatial data from remote sensing technology such as satellites and radar. You'll be able to use that data to create geographical information systems (GIS).

These interactive applications are used in everything from engineering and disaster management to understanding the carbon cycle.  

On this master's degree from a UK Russell Group university you’ll:  

• Focus on real-world problems in areas such as public health and environmental management  
• Study 2 key technologies in a single programme

A unique feature of the course is the chance to learn programming in both IDL (remote sensing) and Python (GIS), to allow you to automate big GIS and remote-sensing tasks. These programming skills are often required by employers in this field.  

Our academics are all active researchers, so you’ll directly benefit from their latest findings. And you’ll be able to choose your own specialism through your choice of optional modules.

Your studies will be enhanced by the use of facilities such as a high-end geoprocessing suite and terrestrial laser scanning equipment.

Statistics and data science are increasingly in demand in industry and business. Training in statistics will provide opportunities to work in manufacturing, environmental science, medical research and government. You could work on clinical trials or analysing quality control processes. You’ll graduate with a technical background in mathematics, and the statistical and communication skills needed for a career as a statistician.

On this BSc Mathematics with Statistics degree you'll study core maths topics such as algebra and calculus. You’ll learn both practical and theoretical statistics, including probability theory to understand random events, and modern computing techniques to analyse large amounts of data.

As part of this course you’ll:

• Understand, analyse and communicate statistical results
• Learn how to model random events and processes
• Apply statistical analysis to real-world data
• Use our student centre, a dedicated learning and social space for maths students
• Use mathematical and computational packages such as Python and the statistics package 'R'

You’ll be taught through a combination of lectures and workshops by leading researchers. Their fields of expertise include survey methods, healthcare modelling and designing experiments.