Master of Science in Clinical Optometry

at City, University of London United Kingdom

Learn technical and practical skills useful in pursuing a career in front or middle office positions.

To successfully complete this Mathematical Trading and Finance master’s 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.

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

The difference between the MSc Mathematical Trading and Finance to the other two quants courses (MSc Financial Mathematics and MSc Quantitative Finance) are core modules which focus on quantitative trading and structuring.

You’ll study core modules which focus on the theory of finance and different financial assets. You will look at how these assets are priced and used for asset management or risk management purposes.

The second type of core modules cover the mathematical and statistical aspects needed in quantitative finance, including some stochastics. This also includes learning some programming languages, mainly Python, but Matlab and VBA modules are being offered as electives.

Finally, Term three offers you flexibility within your masters; either by writing a dissertation or undertaking a project. You can complete your postgraduate degree entirely choosing electives.

You will develop a strong understanding of the main areas of psychology – cognition, development, biology and the history of psychological theories – as well as key theories and concepts of criminology and criminal justice.

Learning from research-active staff and practitioners across two academic departments, you will have the opportunity to study topics combining your two specialisms, including: forensic psychology, memory and the law, and judgement and decision making.

• Acquire criminological expertise and skills to give you the competitive edge in applying for careers in crime and crime control, criminal justice system and related fields
• Develop the research expertise to investigate crime and criminal justice data, applying technical skills to carefully appraise evidence
• Gain analytical skills to engage critically with real-world criminal justice policy debates
• Study a broad range of topics within the discipline of psychology, including the application of psychological knowledge in a range of professional areas
• Shape your studies to suit your interests, with a very wide range of elective modules
• Boost your employability with BPS-accreditation and highly sought-after data literacy skills.

This three-year accredited degree will equip you with 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

It encompasses the disciplines of material sciences, thermodynamics, solid and fluid mechanics and robotics. Accredited by the Institution of Mechanical Engineers, it is your first step towards Chartered Engineer status.

• Apply your interest in science and mathematics to solve engineering challenges and develop innovative solutions
• Receive professional training in all subjects necessary for a successful career as a mechanical engineer
• 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.

On this four-year degree, you will develop advanced knowledge of game engine architecture, computer graphics and game design.

You’ll become an expert in industry-standard engines that power game development, as well as computer game architecture, and the games development process.

You will study at master’s level in your fourth year, learning alongside our internationally renowned researchers at the cutting edge of the subject.

• Gain the skills for a career in the thriving computer games sector, applying your computing expertise in a creative, dynamic and desirable industry
• Boost your professional credibility, employability and earning potential with a degree that satisfies the academic requirements for CEng status
• Become proficient in a broad range of programming languages and cutting-edge games programming techniques
• Boost your employability with an optional one-year work placement: past students have worked for Sony, PlayStation, Disney, Microsoft and Goldhawk Interactive
• Study in City’s computing labs, which include the latest hardware and software, such as state-of-art NVidia GPUs
• Gain three years of professional experience with our innovative Professional Pathway Scheme, combining paid employment and study.

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.

Focus on developing the cutting-edge skills you require to work in this area of growth in the media industry. Our MA in Data Journalism is designed to build skills in working with data and communicating the stories that emerge from it in a range of innovative and engaging ways.

The MA Data Journalism has been developed to allow students to develop the skills required to work within specialist teams that are being developed in newsrooms across the country.

There’s a strong focus on telling data-driven stories with engaging graphics, working as part of an agile team and using data techniques to investigate key issues.

The course offers a mix of technical skills that allow students to investigate, analyse and visualise information as well as the core Journalistic skills of research, storytelling, media law and ethics.

Across the course you will build a portfolio of visualisations and journalistic work and develop the problem-solving skills required to work in the agile and developing area of data journalism.

Who is this course for?

The course is suitable for students from any background with an interest in current affairs, story development and innovation.

Previous knowledge of journalism or coding is not required as the course provides a stepping-stone into careers in data in the news industry and beyond.

This three-year degree has been designed by world-leading researchers in the field. You’ll learn about the latest thinking in crime and society, and develop the skills to conduct your own original research.

You’ll study topics such as criminal justice, penology, policing, news, violence, and social change. This develops your analytical capability to engage with crime and social policy debates. Modules in qualitative and quantitative research methods develop your data analysis skills.

• Become a critical thinker with an in-depth understanding of the complex interplay of local and global forces in relation to crime and criminality
• Boost your employability with an optional work placement year
• Develop highly sought-after data literacy and quantitative skills, thanks to our strong links with City’s Q-Step Centre
• Opt onto a Q-Step quantitative methods pathway: benefit from a heightened focus on data skills, a workplace Data Placement in Year 2, and an optional international work placement

Take advantage of excellent internship opportunities thanks to our central London location, including access to organisations in crime and justice, human rights, migration and refugee support, and mental health.

You are fascinated by the financial world and that complements your love and talent for mathematics, especially modelling and probability. You love solving problems and setting up, then challenging, hypotheses.

The Finance with Actuarial Science undergraduate course will equip you with financial risk management and analysis skills that will boost your career prospects in investment management, risk management or actuarial science. Financial engineering or financial analysis careers will also be open to you.

Discover the different aspects of the financial world and in particular how assessing and managing risk is vital for success. To develop the skills you need to understand these ideas, you’ll take a mixture of financial, mathematical, statistical and actuarial modules. You will apply your new technical and analytical skills to solve a wide range of business problems.

In the first year your focus is on building a firm foundation in mathematics, statistics and economics as you begin to develop your understanding of financial risk.

In the second and third years you will broaden your understanding of the financial markets. This will include analysing the various types of financial instruments that are available, how they are valued and how they can be used to provide suitable solutions to financial problems involving risk and return.

Emerging technologies such as self-driving cars or reusable spacecraft or Drones are increasingly relying on the design and deployment of autonomous systems. This programme will prepare you to face the challenges of a global market with emphasis on autonomous vehicles and mobile robots operating in ground, air, and space.

You will gain in-depth knowledge of recent advances in the theory and practice of Robotics, Machine Learning, Image Processing, Human-Machine Teaming, Communication, and Control.

You will also develop valuable software and hardware skills via extensive lab work in programming and embedded systems design, through industrial design projects.

In addition to the technical part of the programme, you will be introduced to the legal and regulations framework of Autonomous Systems, and the ethical issues arising from their deployment.

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.