Master of Science in Computer Games Technology

at City, University of London United Kingdom

Mathematics is the universal language of today’s global economy. Data Science is increasingly the tool for analysing real world complexity and decision-making.

Whether you are managing an investment portfolio, encrypting financial transactions or constructing a machine-learning algorithm to identify hidden patterns in your customer database you will likely be doing it through a combination of Mathematics and Data Science methods.

The Mathematics with Data Science BSc opens doors to the widest range of careers, because virtually all industries need graduates with skills in these disciplines. The confidence and knowledge you gain at City will open doors to a rewarding and satisfying career.

• Understand the universal nature of mathematics as a discipline that knows no borders or language barriers
• Master a wide range of mathematical and data science topics and techniques, such as calculus, probability and machine learning
• Learn to implement sophisticated algorithms, data mining techniques artificial intelligence with real world applications
• Boost your employability with an optional paid one-year work placement – past students have secured placements at organisations such as Axa, Barclays, Bloomberg, Disney, Microsoft, Toyota and Warner Music
• Take special career development modules to understand mathematics’ essential role across all industries and the opportunities available to you.

Explore your interests through a research project chosen from a wide variety of mathematical topics – past projects have included everything from life-saving mathematics in medical imaging, to wallpaper patterns.

Ask your own questions about how the world works and form reasoned arguments to address where you feel it fails. Your perception of international news may change forever after studying International Politics and Human Rights with us here in London.

During this programme you will learn to challenge yourself, your specific ideas and why you hold them.

We help you to unpick complex concepts that shape our understanding of the world and identify their impact on global events.

This is a constantly evolving subject in a rapidly changing world. As such you will explore unique specialisms supported by up to the minute research.

You will graduate with the ability to undertake in-depth research, confidently challenge explanations of social and political life, and evaluate international relationships between major bodies including governments and transnational networks.

The benefits of this course are many and varied and will help progress your career.

You will focus on Deep Learning, developing adaptable artificial neural networks that replicate how the brain works.

As AI is transforming society you will explore the wider issues of ethics, accountability and trust that surround it and how ‘Explainable AI’ is used to interpret the functioning of adaptable artificial neural networks.

You will learn in the world-class, state-of-the-art City AI lab and have the latest computers, tools and technologies at your fingertips.

Who is this course for?

If you want to learn about AI as science, this course is perfect for you. You will learn how to apply deep learning and other groundbreaking AI methods to image recognition, sequence analysis, optimal control, creativity and cognitive modelling.

You will also gain an understanding of the ethical and legal challenges of AI and how to make AI explainable and fair.

You are required to have a degree in computer science, computational neuroscience, mathematics, computer engineering, or natural sciences.

You will need to have good programming skills, particularly in Python.

You’ll also need a good imagination, be creative and have a keen interest in learning in a collaborative environment where intellectual debate and teamwork are encouraged.

The Engineering Systems course takes an interdisciplinary approach to complex systems and the analysis of interactions to enable the successful realization and use of engineered systems in industry and globally.

Over four years, you will develop the professional engineering skills required, with a focus on innovative and sustainable solutions to current and future problems in engineering systems.

Individual and group engineering design projects demonstrate your expertise to future employers and helps you transition from study to professional practice.

• Students will be trained to understand and analyze the broader context in which the engineering system is used, integrating processes and information in a holistic way, dealing with the challenges of complex systems interactions
• Benefit from exceptional industry involvement in the degree programme, taking advantage of the London location of City, including undertaking projects set by industry and guest lectures from practising engineers
• Study in world leading research facilities where different engineering systems are designed, developed and implemented for industry today
• Take an optional placement year or placement over two summer periods to boost your employability, building on the strengths in research and their industrial collaborations across the Department of Engineering, where engineering systems thinking is put into practice to make impact to meet the needs of industry today

On this degree you will develop highly valuable, transferable skills that open the door to a rewarding career in finance or economics.

You will study current economic theory and practice, financial economics, and the technical mathematics and statistics that underpin them. This supports your professional development, equipping you with the analytical abilities of a trained economist and specific knowledge of the economic aspects of financial markets.

• Develop sought-after quantitative skills required to analyse financial markets
• Show prospective employers your sound knowledge and understanding of the macroeconomic and microeconomic principles underlying various types of financial markets and instruments
• Learn the latest developments in all major fields of economics in a highly energised and supportive environment from lecturers recruited for their research excellence
• Stand out from the crowd with a professional placement year – past students have undertaken placements with organisations like PriceWaterhouseCoopers, HM Treasury, RBS, Goldman Sachs and the Financial Ombudsman Service
• Enjoy professional and social opportunities through the student-led Economics Society
• Follow in the footsteps of recent graduates who now work for major global corporations.

On the Quantitative Finance master’s you will learn technical and practical skills useful in pursuing a career in front or middle office positions.

To successfully complete the Quantitative Finance course, you must have a good understanding of mathematics.

You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science.

You should have a general interest in mathematics and statistics, including the more quantitative and mathematical techniques used in financial markets; but you don’t need to have a background in finance.

You’ll study core modules focusing on asset pricing, risk management and introductions to key financial securities such as equities, fixed income securities and derivatives.

From there you’ll progress to specialist learning in econometrics, and cover a large amount of stochastics and numerical methods.

You’ll cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data.

You will also have the opportunity to work with a number of different estimation techniques, including OLS, Maximum Likelihood and GMM.

You’ll work extensively with programming language in the core modules.  In term 1 the focus of programming teaching is on Python alongside other languages such as VBA or Matlab which are also available as optional modules.

You’ll choose five from around 40 optional modules in your final term. You can also choose to complete a traditional dissertation, which counts for four optional modules, or a shorter ‘applied research project’, which is the equivalent of two optional modules.

This degree provides strong technical expertise in electronics, power engineering, signal processing, control systems and engineering management.

It provides a solid foundation for anyone who wants to pursue a career at the cutting edge of technology, developing innovative solutions in areas like communications and robotics.

We have been educating electrical and electronic engineers for almost 90 years.

Our degrees are dual-accredited by professional bodies, meaning your qualification will be recognised for its quality and relevance. Furthermore, you will:

• Learn from research-active academics working at the cutting-edge of their field
• Develop highly relevant, in-demand skills thanks to industry involvement in our curriculum
• Put your in-depth engineering knowledge into practice and apply your expertise to real-world problems with design projects at every stage of your studies
• Gain hands-on experience with high-tech equipment in newly refurbished undergraduate and research labs, including chip production facilities and electrical power equipment
• Take an optional work placement to boost your grades, employability and professional expertise
• Pass your second year and apply to transfer to our integrated MEng degree, which fast tracks your progress to Chartered Engineer status.

Mathematics is the universal language of today’s global economy.

Whether you are managing an investment portfolio, encrypting financial transactions, building the next smart-phone or predicting the path of a hurricane, you will be doing it with Mathematics.

Mathematics opens doors to the widest range of careers, because virtually all industries need graduates with mathematical skills. The confidence and knowledge you gain at City will open doors to a rewarding and satisfying career.

• Understand the universal nature of mathematics as a discipline that knows no borders or language barriers
• Master a wide range of mathematical topics and techniques, such as calculus, probability, linear algebra and mathematical physics
• Learn to apply abstract and logical mathematical methods to real-world problems
• Boost your employability with an optional paid one-year work placement – past students have secured placements at organisations such as Axa, Barclays, Bloomberg, Disney, Microsoft, Toyota and Warner Music
• Take special career development modules to understand mathematics’ essential role across all industries and the opportunities available to you.

Explore your interests through a research project chosen from a wide variety of mathematical topics – past projects have included everything from life-saving mathematics in medical imaging, to wallpaper patterns.

This degree encompasses the disciplines of material sciences, thermodynamics, solid and fluid mechanics and robotics. Accredited by the Institution of Mechanical Engineers, it is your quickest way to achieve Chartered Engineer status.

You’ll develop the skills and expertise to design and build advanced machines, such as:

• Driverless cars
• High-speed trains
• Robotic manufacturing systems
• Tidal power stations
• Solar-powered generators.

A fourth year at master’s level prepares you for professional practice through an in-depth individual design project and a focus on business and management.

• Apply your interest in science and mathematics to solve engineering challenges and develop innovative solutions
• Learn from academic staff from our active Research Centres, supported by specialist professionals from industry
• Study in specialist facilities including our flight deck, motion simulators, wind tunnels, optical compressors, formula car simulator and more
• Boost your employability with a work placement – past hosts have included TfL, Nissan, Interserve, AECOM and Network Rail
• Benefit from our industry connections and outstanding reputation from 120 years of engineering teaching.

Gain the theoretical and practical skills you need to embark on a fulfilling career in real estate and finance.

A Bayes master's degree is your gateway to a real estate career.

Four key features make us market leaders in Real Estate master's programmes:

• Track record: Established 21 years ago, and accredited by the Royal Institution of Chartered Surveyors (RICS), our degrees are widely recognised and highly valued by major employers; you will find Bayes Real Estate graduates at all levels in leading real estate firms around the world.
• Capability: You will be taught by highly qualified real estate staff, all all with at least 15 years’ experience in teaching and/or in senior roles in the real estate industry and active in research. And we draw on London’s unmatched pool of industry professionals to act as visiting lecturers and guest speakers.
• Focus: Bayes only offers Real Estate courses on a postgraduate level – so you have the exclusive attention of our staff - and has specialised in courses which blend the professional, financial and practical skills in high demand across the real estate industry.
• Location: we are the only Business School to offer real estate investment programmes in London, with the opportunity to network in a global real estate hub, neighbouring both the City’s financial core and the new tech belt centred on Silicon Roundabout.

Bayes Real Estate courses:

    Equip you with the core skills required by the industry embracing valuation, financial modelling, development appraisal, market analysis and cash flow modelling.
    Are set in a framework of robust quantitative methods, financial and economic theory.
    Have an emphasis on up to date industry techniques and practical tools taught hands-on in computer labs.

MSc Real Estate Investment

The MSc Real Estate Investment course requires a stronger background or aptitude in quantitative methods - from mathematics at final year high-school level, a degree with a quantitative element, or work experience. The course covers the same core “real estate professional” skills as the MSc Real Estate course but takes them at a faster pace. The MSc Real Estate Investment then extends to advanced methods in financial modelling, industry research and portfolio analysis, and covers in more detail the financial markets created by Real Estate Investment Trusts and Mortgage Backed Securities. Graduates from this course may enter the same businesses as those from the MSc Real Estate, but will be better qualified for “real estate analyst” roles in investment strategy, financing and research.