Bachelor of Science (Hons) in Computer Science (Games)

at Keele University United Kingdom

Keele’s teaching and research explore a wide diversity of chemistry, helping you to develop subject knowledge and transferable skills in a supportive learning environment. You’ll develop a solid foundation of theory and practical skills, building to cover advanced concepts and contemporary issues in chemistry in later years.

You’ll learn to use chemistry in problem solving, and to present your theories and findings confidently and imaginatively. You may have the opportunity to tailor your studies to reflect your interests, and learn how to pursue your own research. You’ll also gain experience with scientific instruments and techniques, and enjoy access to dedicated IT facilities. 

Studying physics at Keele, you will learn to apply mathematics and computing to formulate and solve a wide range of physical problems. You’ll use mathematics to describe the physical world, and learn to plan and conduct investigations before reporting your results. Your course will be informed by the research interests of your teaching staff.

The treatment and prevention of disease with medicines remains at the heart of the global healthcare system. Pharmacists play a key role in many aspects of the design, development, delivery, and optimisation of the use of medicines and related products. They are clinicians and scientists, with strong management and communication skills. These skills ensure that pharmacists are highly effective in community pharmacy, hospitals, GP surgeries, the pharmaceutical industry, academia, regulatory affairs and public health.

Pharmacists promote the safe and effective use of medicines and ensure the highest quality of patient care. Often, they are the first point of information for the public and other healthcare professionals, and as such must be effective communicators.

All aspects of the Pharmacy programme are taught in dedicated, well equipped facilities using a wide variety of teaching methods. Placements form an important learning experience throughout all years of the course giving you the opportunity to place your learning in context within different working environments.

Our Data Science graduates are trained from first principles in computer science and mathematics. The two disciplines are blended seamlessly throughout your degree.

You will study fundamental mathematical and statistical techniques alongside modern software development methods. You will have the opportunity to apply your learning using authentic datasets in our computing laboratories. You will undertake significant development projects, including a final year data science dissertation led by academics with research specialities which currently include artificial intelligence, big data and statistical modelling. You'll explore a range of advanced technical topics which may include cloud computing, academic research, industry-focused professional skills and practical problem-solving ensure you are fully equipped for an exciting and intellectually stimulating journey as a data scientist.

Keele takes a broad approach to biology, examining the diversity of life and its evolution from the geological past. You’ll consider a range of biological topics which may include the complexity of biological processes and mechanisms at molecular, cellular, organismal and ecosystem levels and related philosophical and ethical issues. You’ll explore topics such as how bodies work, how animals behave and the uses to which we can put plants. You'll develop your practical skill set by engaging in activities which may include sampling, recording and analysing data in the field and in our well-equipped labs. 

Ecology and conservation field and lab skills are taught comprehensively across the programme, including extensive use of our green campus. Fieldwork and residential field courses are an integral part of the programme throughout, as are employability skills.

Our Data Science graduates are trained from first principles in Computer Science and Mathematics. The two disciplines are blended seamlessly throughout your degree. You will study fundamental mathematical and statistical techniques alongside modern software development methods. You will have the opportunity to apply your learning immediately using real-world datasets in our cutting-edge computing labora

You will undertake significant development projects, including a final year data science dissertation led by academics with current research specialities in artificial intelligence, big data and statistical modelling. You'll explore a wide variety of advanced technical topics which may include cloud computing, as well as academic research, industry-focused professional skills and practical problem-solving ensure you are fully equipped for an exciting and intellectually stimulating journey as a Data Scientist. tories.

Our programme is designed as a balanced blend of mathematics, statistics and computer science, tailored to understand the business context of AI and data science applications. You will study fundamental statistical techniques alongside modern software development methods applicable in areas of business such as finance and econometrics. You will also explore the ethical, psychological and social aspects of such applications.

In our computing laboratories, you will have the opportunity to apply your learning immediately using authentic datasets. You will undertake significant hands-on projects, including a final year data science dissertation led by academics with research specialties currently in artificial intelligence, big data and statistical modelling. You will explore a range of advanced technical topics which may include game theory, or international finance, as well as academic research, and practical problem-solving in order to become a skilled professional able to manage data complexity in a field in high demand, both in industry and research.

Explore contemporary issues in international relations and diplomacy, international business and international law and develop a genuinely international mindset. You will analyse the major political, business and legal aspects of how international processes work and study the relationships between national governments and other international players. transnational corporations, international governmental organisations (e.g. the United Nations), and non-governmental organisations, such as businesses, charities and pressure groups. 

Our programme is designed as a balanced blend of mathematics, statistics and computer science, tailored to understand the business context of AI and data science applications. You will study fundamental statistical techniques alongside modern software development methods applicable in areas of business such as finance and econometrics. You will also explore the ethical, psychological and social aspects of such applications.

In our computing laboratories, you will have the opportunity to apply your learning immediately using authentic datasets. You will undertake significant hands-on projects, including a final year data science dissertation led by academics with research specialties currently in artificial intelligence, big data and statistical modelling. You will explore a range of advanced technical topics which may include game theory, or international finance, as well as academic research, and practical problem-solving in order to become a skilled professional able to manage data complexity in a field in high demand, both in industry and research.

Ecology and conservation field and lab skills are taught comprehensively across the programme, including extensive use of our green campus. Fieldwork and residential field courses are an integral part of the programme throughout, as are employability skills.