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Master of Science (Hons) in Mathematics with Data Science

Master of Science (Hons) in Mathematics with Data Science

at City, University of London United Kingdom

Overview

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.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

48

Duration

City, University of London

Location

Master of Science (Hons) in Mathematics with Data Science Assistant Fee

$18450

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Science (Hons) in Mathematics with Data Science Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have Standard XII Higher Secondary Certificate.
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Where would you like to study*

Work Permit United Kingdom

There are various options through which a student can get a post study work visa in the UK. 
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea. 
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business. 
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK. 
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship. 
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.
 

Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

48

Duration

Study Visa

English Test Requirement

6.0

Minimum Overall Score

6.0

Minimum Listening

6.0

Minimum Reading

6.0

Minimum Writing

6.0

Minimum Speaking

59.0

Minimum Overall Score

Other Courses by City, University of London,United Kingdom

If you love mathematics, especially modelling and probability, and you are interested in the use of coding, data and IT to solve real-world problems, then you will find this course ideal for you.

As you would expect, the Data Analytics and Actuarial Science undergraduate course sets you up for a career in actuarial science. However, the course will also prepare you for a career in the wider fields of data analysis and risk management, or in investment management or financial analysis.

Traditionally, actuaries have used data to solve problems in the financial risk area. However, the world of finance is being transformed by two major trends – the increase in the volume and types of data and the focus on risk management. This means some problems are now best solved using different data analysis techniques.

This course prepares you for these new challenges. You will explore the traditional actuarial approach to risk management but you’ll also learn about some of the newest areas of data science, including artificial intelligence and machine learning, and their practical application to finance and insurance.

As well as developing your understanding of mathematics, probability, statistics, economics and IT you’ll look into probability modelling, data analysis and the financial markets. You’ll also be able to demonstrate your skills and your ability to communicate your findings in your final year project.

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Tuition

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.

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Duration

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Tuition

On this four-year integrated Computer Science MSci (Hons) master’s degree, you will develop a comprehensive overview of all areas of computing.

By exploring the diverse applications of computing science, you’ll keep your career options open and develop a broad portfolio of professional expertise.

You’ll become proficient in computing, coding, programming and problem-solving, as well as developing management and communication skills.

  • Develop systematic knowledge of computer science, with a focus on how software and programming can be used to solve real-world problems
  • Boost your professional credibility, employability and earning potential with a degree that satisfies the academic requirements for CEng status
  • Learn to code creatively and use programming languages accurately
  • Study in City’s computing labs, which include the latest hardware and software, such as state-of-art NVidia GPUs
  • Gain practical work experience with an optional one-year work placement
  • Study at master’s level in your fourth year, learning alongside our internationally renowned researchers at the cutting edge of the subject
  • Get three years of professional experience with our innovative Professional Pathway Scheme, combining paid employment and study.

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Duration

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The MSc in Business Analytics will help you generate and capture greater competitiveness in data-driven business.

The MSc in Business Analytics programme will help you generate and capture greater competitiveness in data-driven business.

Our Business Analytics programme is designed to provide a foundation to those who will determine the scope and direction of data analytics research within their organisation, and communicate the research outcomes to the ultimate decision-makers.

Our graduates are trained to participate in the strategic management process, improve the organisation’s financial performance and help design the effective measures of performance of an organisation for which evidence-based data become a strategic asset in the decision-making process.

Therefore, the primary goal is to provide an insight into business data analytics and prepare the students to develop the set of skills and attitudes that will evolve into effective leadership skills.

Typical backgrounds of students are Accounting, Biology, Business Administration/Studies, Computer Science, Economics, Engineering, Environmental Studies, Finance, Hospitality Management, Human Resources, Information Systems/Technology, Management, Marketing, Mathematics and Psychology.

The main purpose of the master's in Business Analytics programme is to develop a comprehensive set of skills and to encourage the positive attributes that are essential to becoming a successful business analyst.

The master's degree is committed not only to imparting specialist skills, but also to developing the so-called "soft skills” which are important in influencing people and organisations.

As well as obtaining effective and persuasive communication skills, you will also learn about ethics-related issues, which are another key ingredient to responsible leadership.

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Duration

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Tuition

You will learn about the visual and audio communication of topical information.

Our course is not just about presenting on screen or on air, but you must be prepared to present your material on camera or to a microphone, and write and direct material for others.

We emphasise practical skills. This means you will spend a considerable amount of time learning the professional practice of key broadcast journalism skills including research, newsgathering, interviewing, presenting, self-shooting/recording and editing.

You will also learn core skills in media law, journalism ethics and data journalism.

Who is this course for?

Our course is suitable if you have a degree and are seeking to become a well-rounded broadcast journalist. You should have a keen existing interest in television, radio, social and digital news, and current affairs. You will also have a knowledge of sport, lifestyle and politics.

10 month

Duration

$ 21650

Tuition

On this accredited degree, you’ll learn how to apply engineering to the healthcare industry. You’ll take part in interdisciplinary study with experts in maths, science, engineering and medical disciplines, to develop in-demand professional and technical skills.

Biomedical engineers develop innovative technologies for the diagnosis, monitoring and treatment of medical conditions. It is a growth area with applications in a range of industries. Our degrees are designed to prepare you for an exciting highly-skilled career in this rapidly growing field.

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

  • Develop in-depth biomedical engineering expertise, alongside professional skills in management and communication
  • Work with teams from prominent clinical institutions including St Bartholomew's Hospital and The Royal London Hospital
  • Gain hands-on experience with high-tech equipment in our newly refurbished undergraduate and research labs
  • Take an optional work placement to enhance your academic credentials, 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.

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Duration

$ 19770

Tuition

Gain a strong knowledge of the creative industries and its evolution as a force to globally empower economic and social development. Our MA lets you explore tensions, organisations and issues that emerge from cultural industries. You will learn how processes interact at a local, regional and world levels.

During this programme you will develop an understanding of how cultural goods are produced and consumed.

You will learn how global cultural trade flows are uneven and why there are consequences for local and national development.

Our programme gives you a unique chance to critically approach economic and social aspects of global culture and it transformation on a global and local scale.

12 month

Duration

$ 17510

Tuition

On this four-year integrated Computer Science MSci (Hons) master’s degree, you will develop a comprehensive overview of all areas of computing.

By exploring the diverse applications of computing science, you’ll keep your career options open and develop a broad portfolio of professional expertise.

You’ll become proficient in computing, coding, programming and problem-solving, as well as developing management and communication skills.

  • Develop systematic knowledge of computer science, with a focus on how software and programming can be used to solve real-world problems
  • Boost your professional credibility, employability and earning potential with a degree that satisfies the academic requirements for CEng status
  • Learn to code creatively and use programming languages accurately
  • Study in City’s computing labs, which include the latest hardware and software, such as state-of-art NVidia GPUs
  • Gain practical work experience with an optional one-year work placement
  • Study at master’s level in your fourth year, learning alongside our internationally renowned researchers at the cutting edge of the subject
  • Get three years of professional experience with our innovative Professional Pathway Scheme, combining paid employment and study.

60 month

Duration

$ 18210

Tuition

Investigate the human obsession with crime by taking a critical approach to criminology and criminal justice in this MSc programme. You may pursue an established field of learning or specialise in a subject area that relates to your background or career ambitions.

You will benefit from the globally broad perspective presented in this MSc.

We believe that crime is multi-dimensional and should focus on the victim as much as the offender, the family of the offender, the community and the wider society.

You benefit from focusing not just on criminal acts, but also on the societal reaction to crime and cultural narratives around it.

If you are an independent thinker who wants to work within criminal justice, or perhaps already does, this degree is ideal. You can undertake specific research that builds on undergraduate criminology degrees taken anywhere in the world.

An interest in data collection and analysis will also be useful as research methods form a key component of the programme.

You might have a background in science, humanities or law, and you might already be working in the criminal justice system.

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Duration

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Tuition

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.

12 month

Duration

$ 19770

Tuition

View All Courses by City, University of London, United Kingdom

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