This section is a non-comprehsnive list of machine learning / statistics / data science related masters.

Contributors

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Imperial College London

General: https://www.imperial.ac.uk/study/pg/apply/how-to-apply/apply-for-a-masters-course/

Process: Apply through portal, Maximum of two programs per admission cycle. First choice processed first, second choice processed only if first choice is unsuccessful. Potential interview (onsite or Skype). You will need to provide the names of two people who can provide an academic reference in support of your application. An academic reference could be from, for example: Your personal tutor, Your thesis supervisor, Your line manager in a research group. One academic and one relevant professional reference may be acceptable – contact the relevant Admissions team for confirmation before you apply.

Structure: Imperial courses seem to be assessed via a mix of coursework, exams, and a project.

Statistics

https://www.imperial.ac.uk/study/pg/mathematics/statistics/

6 streams

MSc Statistics (General)
MSc Statistics (Applied Statistics)
MSc Statistics (Biostatistics)
MSc Statistics (Data Science)
MSc Statistics (Statistical Finance)
MSc Statistics (Methods and Theory)

Requirements: 2.1 degree in statistics, mathematics, engineering or physics.

Deadline: ~31 January 2021

Fees: £14500 for Home/EU , £28000 International

Scholarships: two bursaries of £10000. "They will be awarded to exceptional candidates who have a proven record of academic excellence. They will be reserved for candidates who show a desire and ability to continue into a postgraduate research degree after completing their MSc."

http://www.imperial.ac.uk/mathematics/postgraduate/msc/statistics/prospective/msc-statistics-scholarship/

Mathematics

MSc Mathematics and Finance https://www.imperial.ac.uk/study/pg/mathematics/mathematics-finance/

Fees: £33500 for all students

Requirements: Our minimum requirement is a 2.1 degree in mathematics, applied mathematics or physics.

MSc Applied Mathematics | MSc Pure Mathematics

https://www.imperial.ac.uk/study/pg/mathematics/pure-mathematics/

https://www.imperial.ac.uk/study/pg/mathematics/applied-mathematics/

Fees: £11000 for Home/EU, £28000 for International

Requirements: Our minimum requirement is a 2.1 degree in mathematics, applied mathematics, engineering or physics.

Computing

MSc Artificial Intelligence

"Our new Master’s degree in Artificial Intelligence (AI) is aimed at mathematically-minded STEM graduates.It delivers intensive training in programming and the fundamentals of artificial intelligence through a range of specialist modules."

Fees: £15500 for Home/EU, £33,250 / year for International

Requirements: Our minimum requirement is a first-class degree in a subject with a substantial computing component. You are required to sit GRE Quantitative Reasoning and Verbal Reasoning tests.

MSc Computing (Artificial Intelligence and Machine Learning)

"This specialist course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours. This taught postgraduate course is aimed at students who may not have studied computing exclusively, but who have studied a considerable amount of computing already."

https://www.imperial.ac.uk/study/pg/computing/ai-ml/

Fees: £15500 for Home/EU, £33,250 / year for International

Requirements: Our minimum requirement is a first-class degree in a subject with a substantial computing component. You are required to sit GRE Quantitative Reasoning and Verbal Reasoning tests.

MSc Computing

"This course specialises in the application of engineering to the design, development, and maintenance of software.This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already."

https://www.imperial.ac.uk/study/pg/computing/software-engineering/

Fees: £15500 for Home/EU, £33,250 / year for International

Requirements: Our minimum requirement is a first-class degree in a subject with a substantial computing component. You are required to sit GRE Quantitative Reasoning and Verbal Reasoning tests.

MSc Computing Science

"This course provides intensive training in computer science, and is suitable for graduates of disciplines other than computing who are who are keen to acquire core computing skills or deepen their existing knowledge of computing."

https://www.imperial.ac.uk/study/pg/computing/computing-science/

Fees: £15500 for Home/EU, £33,250 / year for International

Requirements: Our minimum requirement is a first-class degree in any subject.

MSc Advanced Computing

"This course is aimed at students who have a substantial background in computing and want to study advanced computing concepts and technologies in more depth.This taught postgraduate course offers you the opportunity to study a wide variety of topics in depth with dedicated experts."

https://www.imperial.ac.uk/study/pg/computing/advanced-computing/

Fees: £15500 for Home/EU, £33,250 / year for International

Requirements: Our minimum requirement is a first-class degree in a subject with a substantial computing component.

Business School

MSc Risk Management and Financial Engineering

https://www.imperial.ac.uk/study/pg/business-school/risk-management-financial-engineering/

Fees: £35,900 for all students

Requirements: Our minimum requirement is a 2.1 degree in a highly quantitative subject. You are also required to have a well-researched career plan with clear short and long term goals.

MSc Business Analytics

"Our MSc in Business Analytics enables recent graduates and early career professionals to understand the content, importance and relevance of big data problems facing businesses and will be familiar with a variety of statistical, operation research and machine learning techniques needed to solve them."

https://www.imperial.ac.uk/study/pg/business-school/business-analytics/

Fees: £29,500 / year for all students

Requirements: Our minimum requirement is a 2.1 degree in a highly quantitative subject. You are also required to have a well-researched career plan with clear short and long term goals.

MSc Financial Technology

"Our new MSc in Financial Technology is designed to equip you with in-demand skills to pursue a career within the global fintech revolution.You will gain the necessary quantitative and analytical skills, as well as the opportunity to code and improve programming capabilities."

https://www.imperial.ac.uk/study/pg/business-school/msc-financial-technology/

Fees: £35,900 / year for all students

Requirements: Our minimum requirement is a 2.1 degree in a highly quantitative subject. You are also required to have a well-researched career plan with clear short and long term goals.

Cambridge

MPhil in Machine Learning and Machine Intelligence

"This is an 11 month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and machine intelligence, including speech and language technology and computer vision. The course aims to teach the state of the art in machine learning and machine intelligence; to give students the skills and expertise necessary to take leading roles in industry; and to equip students with the research skills necessary for doctoral study."

https://www.graduate.study.cam.ac.uk/courses/directory/egegmpmsl

Assessment: Dissertation of no more than 15,000 words, examination

Fees: £28,124 for Home, £28,474 for EU , £47,938 for overseas

Requirements: Applicants for this course should have achieved a UK First class Honours Degree.

MPhil in Advanced Computer Science

"The aim of the course is to provide preparation appropriate for undertaking a PhD programme in computer science. Students select five taught modules from a wide range of advanced topics in computer science from networking and systems measurements to category theory, and topics in natural language processing. Students may also choose from a selection of topics borrowed from the Department of Engineering. Additionally, students take a mandatory, ungraded course in research skills which includes core and optional topics. "

Assessment: Dissertation of no more than 15,000 words, examination

Fees: £25,707 for Home, £26,057 for EU , £45,521 for overseas

Process: Apply online, select modules and project proposal of no more than 500 words, telephone interview.

Requirements: Applicants for this course should have achieved a UK First class Honours Degree.

MASt in Applied Mathematics | MASt in Mathematical Statistics | MASt in Pure Mathematics

"This course, commonly referred to as Part III, is a nine-month taught master's course in mathematics. It is excellent preparation for mathematical research and it is also a valuable course in mathematics and in its applications for those who want further training before taking posts in industry, teaching, or research establishments."

https://www.graduate.study.cam.ac.uk/courses/directory/maamasapm

Assessment: Examinations

Deadline: 12:00 pm (midday) UK time on Friday 14 February 2020

Fees: £21,555 for home, £21,905 EU, £32,636 for overseas

Requirements: Applicants for this course should have achieved a UK First class Honours Degree.

Scholarships: Newnham College : up to 3 Sheila Edmonds Bursaries for women taking Part III in DPMMS (https://www.newn.cam.ac.uk/admissions/graduates/funding-financial-support/studentships/). Gates Cambridge for overseas students who have shown academic excellence(https://www.gatescambridge.org/apply/ideal-candidate)

Process: Apply online; Two academic references, Transcript CV/resume, Evidence of competence in English, Reasons for applying (1500 characters)

Information for propsective part III students https://www.maths.cam.ac.uk/postgrad/part-iii/prospective.html

How to prepare for part III

https://www.maths.cam.ac.uk/postgrad/part-iii/prospective/preparation/resources

Is part III the right course for you

https://www.maths.cam.ac.uk/postgrad/part-iii/prospective/right-course-for-you

Oxford

Application Guide http://www.ox.ac.uk/admissions/graduate/applying-to-oxford/application-guide

Getting started with application https://www.ox.ac.uk/admissions/graduate/applying-to-oxford/getting-started

MSc in Statistical Science

"The MSc in Statistical Science will aim to train you to solve real-world statistical problems. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer and communicate your results clearly and succinctly."

Deadlines: Early deadline Friday 15 November 2019, Scholarships deadline Friday 24 January 2020, final deadline Tuesday 3 March 2020

Fees: Home/EU £11,605, £26,405 overseas

Places: 482 applications to 47 places

Requirements: a first-class or strong upper second-class undergraduate degree with honours in a degree course with advanced mathematical and statistical content. Proficiency in English at the University's higher level.

Process: Apply online, transcript, CV, Personal statement, 3 academic references

"The multidisciplinary MSc in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our understanding of the human world. "

https://www.ox.ac.uk/admissions/graduate/courses/msc-social-data-science

Deadlines: Early deadline Friday 15 November 2019, Scholarships deadline Friday 10 January 2020,

Fees: Home/EU £22,050, Overseas £28,040

Places: 362 applications to 25 places

Requirements: A first-class undergraduate degree with honours in any subject.

MSc Research in Statistics

"In the MSc by Research in Statistics, you will investigate a particular project in depth and write a thesis that makes a contribution to the field. You will acquire a wide range of research and transferable skills, as well as in-depth knowledge, understanding and expertise in your chosen field of research. You will become part of a vibrant community of researchers. "

Deadlines: Early deadline Friday 15 November 2019, Scholarships deadline Friday 24 January 2020, final deadline Tuesday 3 March 2020

Fees: £7,970 Home/EU, £26,405 Overseas

Process: Apply online, transcript, CV, Personal statement, 3 academic references, research proposal of up to two pages

Requirements: A first-class or strong upper second-class undergraduate degree with honours in an appropriate subject. You will need a strong background in mathematics or statistics , proficiency in English at the University's standard level.

MSc in Mathematical and Computational Finance

"The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of problems. You will develop skills to formulate mathematical problems that are based on the needs of the financial industry. You will carry out relevant mathematical and financial analysis, develop and implement appropriate tools to present and interpret model results."

https://www.ox.ac.uk/admissions/graduate/courses/msc-mathematical-and-computational-finance

Deadline: ~24 January 2021

Assessment: Examinations & Project

Fees: £33,625 for all studeents

Process: Apply online, transcript, CV, Personal statement, Admissions exercise, 3 academic references, technical interviews by at least two people (face to face or Skype), around 30 minutes in length, comprising of a series of technical questions.

Places: average 240 applications to 50 places

Requirements: A first-class or strong upper second-class undergraduate degree with honours in mathematics or a related discipline. Proficiency in English at the University's higher level.

UCL

Research Degrees

Information Studies MPhil/PhD
Mathematics MPhil/PhD
Statistical Science MPhil/PhD

General: https://www.ucl.ac.uk/prospective-students/graduate/applying-graduate-study

Process: https://www.ucl.ac.uk/prospective-students/graduate/downloads

MPhil/PhD Information Studies

“UCL Information Studies is an international centre for knowledge creation and transfer in the fields of librarianship, archives and record management, publishing, information science and digital humanities and the department brings together academics and practitioners in these fields. Our research aims to develop the understanding and insight needed to shape the emerging information environment, while elucidating and building on the historical developments that have created it. We are the country's largest department of Information Studies located within one of the world's top ten universities and our teaching is built upon an international research reputation.”

Durations:3-4 years (full time)

Deadline: 24th Jul 2020

Fees: Home/EU £5,365(FT)/£2,685(PT); overseas £21,580(FT)/£10,860(PT)

Research Area: At the heart of our research activities lie the following centres and groups hosted by the department: + Centre for Digital Humanities + Centre for Publishing + Centre for Archives and Records Research + Knowledge, Information and Data Science group

MPhil/PhD Mathematics

"We offer research supervision across a broad range of pure and applied mathematics. General areas of expertise in pure mathematics include analysis, geometry, number theory and topology. In applied mathematics key areas of activity include fluid dynamics, mathematical modelling, mathematical physics, applied and numerical analysis and financial mathematics.”

Durations:3-4 years (full time)

Deadline: The application started on 1st Nov 2019.

Fees: Home/EU £5,365(FT)/£2,685(PT); overseas £22,080(FT)/£11,060(PT)

Requirements: A minimum of an upper-second class UK Bachelor’s degree in an appropriate subject, or a recognised taught master’s degree. Overseas qualifications of an equivalent standard from a recognised higher education institution are also accepted. Where possible, candidates are always interviewed. For overseas candidates there will be an alternative interview by telephone or Skype.

Research Area: Departmental research specialities fall within the two main groupings of pure and applied mathematics described below, and graduate research may be pursued within either field.
+ Applied mathematics: environmental flows (including vortex dynamics, atmospheric and ocean dynamics and climate modelling); fluid mechanics (e.g. free-surface flows, polymers); industrial mathematics (e.g. inverse models, sound transmission, multi-particle interactions); mathematical biology and medicine (e.g. modelling cerebral and liver blood flow, molecular and cellular dynamics); gravitation, integrable systems; mathematical modelling; applied partial differential euations; numerical analysis and scientific computing; financial mathematics + Pure mathematics: functional analysis; real and complex analysis; spectral theory; combinatorics; algebraic number theory; geometric topology; discrete and convex geometry; probability theory; geometric group theory; symplectic and contact topology

MPhil/PhD Statistical Science

“The demand for numerate graduates exceeds the supply in most areas. Many new and existing opportunities – in industry, medicine, government, commerce or research – await science graduates who have supplemented their first degree with additional training in quantitative skills, such as those provided by the postgraduate programmes available within the Department of Statistical Science.”

Durations:3-4 years (full time)

Deadline: The application started on 1st Nov 2019

Fees: Home/EU £5,365(FT)/£2,685(PT); overseas £22,080(FT)/£11,060(PT)

Requirements: A minimum of an upper second-class UK Bachelor's degree, or a UK Master's degree in statistics, mathematics, computer science or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.

Research Area: The department’s methodological research is organised into six areas: Biostatistics + Computational statistics + Economics, finance and business + General theory and methodology + Multivariate and high dimensional data + Stochastic modelling and time series

Research often cuts across these areas. For example, externally funded projects in the following application areas are in progress: + Cognitive neuroscience + Ecology + Econometrics and finance + Epidemiology + Environmetrics and hydrology + Machine learning + Population and systems biology + Statistical imaging

Taught Degrees

Applications: https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/application-guidelines Deadlines: Most applications close on 28th Aug 2020. What are we looking for? When we assess your application we would like to learn: + why you want to study this programme at graduate level + why you want to study this programme at UCL + what particularly attracts you to the chosen programme + how your academic and professional background meets the demands of this challenging programme + where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

MSc Scientific and Data Intensive Computing

"This programme aims to provide a rigorous formal training in computational science to produce highly computationally skilled scientists and engineers capable of applying numerical methods and critical evaluation of their results to their field of science or engineering. It brings together best practice in computing with cutting-edge science and provides a computing edge over traditional science, engineering and mathematics programmes."

Entry Requirements: A minimum of an upper second-class Bachelor's degree from a UK university, or an overseas qualification of an equivalent standard, in mathematics, computer science, engineering, physical sciences or a closely related subject. The degree stream must contain at least one university level mathematics course.

Fees: UK/EU: £10,860 (FT)/£5,435 (PT); overseas: £28,930 (FT)/£14,730 (PT)

Who can apply:This programme is suitable for students with motivated and inquisitive minds who have a background in science, engineering or a related subject, and a strong interest in computing. Some experience in programming is essential.

"There is ever-growing national and international demand for qualified professionals and scientists who have expertise in social and geographic data science. UCL's Social and Geographic Data Science MSc provides rigorous scientific and vocational training for the next generation of data scientists, with a unique expertise at the interface of social sciences, computing and statistics."

Entry Requirements: Normally a minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

Fees: UK/EU: £11,470 (FT)/£5,770 (PT); overseas: £23,340 (FT)/£11,830 (PT)

Who can apply: The programme is particularly suitable for students with an undergraduate degree in geography, Earth or environmental science, geomatics, oceanography, or another relevant discipline. Applicants with relevant professional experience in geographic information systems, data science, spatial analysis or decision support will also be considered.

MSc Spatial Data Science and Visualisation

"The Spatial Data Science and Visualisation MSc teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Students carry out their own research project, supported by academics, researchers and other students in one of the most exciting, interdisciplinary research teams in the field. The programme takes place within The Bartlett, UCL's Faculty of the Built Environment."

Entry Requirements: A minimum of a second-class Bachelor's degree in a relevant discipline from a UK university, or an overseas qualification of an equivalent standard.

Fees: UK/EU: £15,670 (FT); overseas: £28,530 (FT)

Who can apply:The programme is ideal for people interested in creating visualisations, maps, analyses and models to understand spatial systems. Our students come from both humanities and social and physical science backgrounds, from areas including geography, architecture, planning, software development, philosophy and landscape architecture. The programme has computational and technical elements, but we do not require computing qualifications for entry; just enthusiasm and the desire to learn.

MSc Spatio-temporal Analytics and Big Data Mining

"With the rapid development of smart sensors, smartphones and social media, 'big' data is ubiquitous. This MSc teaches the foundations of GIScience, databases, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets"

Entry Requirements:A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.

Fees: UK/EU:£13,640 (FT); overseas: £28,530 (FT)

Who can apply:The programme is best suited to those in employment seeking continuing professional development or recent graduates who are looking for a career as a data scientist.

MSc Statistics

"Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, law and marketing. The quantitative skills training provided by this MSc can lead to new and exciting opportunities in industry, medicine, government, commerce or research."

Entry Requirements:A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

Fees: UK/EU: £11,830 (FT)/£5,975 (PT); overseas: £28,290 (FT)/£14,160 (PT)

Who can apply:The programme is accessible to students with first degrees in a quantitative discipline, (such as mathematics, statistics, physics, chemistry, biology, computer science, engineering or economics) who wish to gain advanced training in statistical theory and applications to enable them to enter specialist employment or academic research.

MSc Statistics (Medical Statistics)

"Medical statistics is a fundamental scientific component of health research. Medical statisticians interact with biomedical researchers, epidemiologists and public health professionals and contribute to the effective translation of scientific research into patient benefits and clinical decision-making. As new biomedical problems emerge, there are exciting challenges in the application of existing tools and the development of new superior models."

Entry Requirements: A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

Fees: UK/EU: £11,830 (FT)/£5,975 (PT); overseas: £28,290 (FT)/£14,160 (PT)

Who can apply:The programme is accessible to students with first degrees in a quantitative discipline, (such as mathematics, statistics, physics, chemistry, biology, computer science, engineering or economics) who wish to gain advanced training in medical statistical theory and applications in order to enter specialist employment or academic research.

Application deadline: 13th Mar 2020

MSc Mathematical Modelling

"This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions."

Entry Requirements: A minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

Fees: UK/EU: £11,830 (FT)/£5,975 (PT); overseas: £22,740 (FT)/£11,470 (PT)

Who can apply:The programme is aimed at students with a background in a highly numerate discipline who wish to advance their mathematical modelling skills. Successful students will be well placed to satisfy the growing demand for mathematical modelling in commerce and industry, and will learn and practise the skills necessary to pursue further research.

MSc Machine Learning

"The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain."

Entry Requirements: A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject such as computer science, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Additionally, candidates must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus.

Fees: UK/EU: £14,320 (FT); overseas: £30,400 (FT)

Who can apply:The programme provides a sound basis for those embarking on a career in research or development or taking up positions within industry where machine learning is currently applied or will be applied in the future; such as finance, banking and insurance, retail and web-commerce, pharmaceuticals, computer security and web search

MSc Information Science

"This recently revised programme is designed for computationally and mathematically literate graduates wishing to pursue an in-depth study of modern approaches to information science. Emphasis is placed both on current industry practice and theory, and on data science methods and likely future trends in artificial intelligence, thus equipping graduates with the knowledge and skills necessary for a wide range of career paths in information-related fields."

Entry Requirements: Normal requirements for admission are a minimum of an upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. Applicants with appropriate professional qualifications or experience in relevant disciplines will also be considered. We welcome applications from those with science, engineering or humanities backgrounds. However, applicants are expected to demonstrate some technical and/or mathematical aptitude.

Fees: UK/EU: £10，550 (FT)/£5,255 (PT); overseas: £22,740 (FT)/£11,470 (PT)

Who can apply:The programme is particularly suitable for computationally and mathematically literate graduates wishing to pursue an in-depth study of modern approaches to information science. Typically, graduates will have the ambition to either enter information and data science related professions, or to continue into academic research in these areas.

MSc Health Data Science

"This programme covers computational and statistical methods as applied to problems in data-intensive medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities."

Entry Requirements: A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element.

Fees: UK/EU: £10，450 (FT)/£5,255 (PT); overseas: £26,380 (FT)/£13,130 (PT)

Who can apply:The programme provides a good grounding in statistics and programming, and no prior knowledge is assumed. However applicants should ensure that evidence of their readiness for this kind of training is clearly presented either through their educational history or in their personal statement. Applicants whose first degree has little or no numerical content are unlikely to be accepted.

MSc Financial Mathematics

"The financial services industry place great emphasis on raising the level of mathematics used in banks in applications to pricing, hedging and risk management. This MSc provides students with the skills necessary in mathematics, statistics and computation for a career in this fast-developing field."

Entry Requirements: A minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

Fees: UK/EU: £27,850 (FT)/£14,320 (PT); overseas: £32,250 (FT)/£16,280 (PT)

Who can apply:The programme is suitable for applicants with a first degree in mathematics sciences, engineering, finance or economics who wish to gain the skills necessary for a career or further research in this field. Evidence of ability in key areas of applied mathematics is required.

MSc Energy Systems and Data Analytics

"The Energy Systems and Data Analytics MSc provides an academically leading and industrially relevant study of energy systems through the lens of data analytics. Advanced analytics, fuelled by big data and massive computational power, has the potential to transform how energy systems are designed, operated and maintained. You will gain the skills and knowledge to unlock the transformative potential of big energy data, and understand how it can reshape the energy sector."

Entry Requirements:A minimum of an upper second-class Bachelor's degree or an overseas qualification of an equivalent standard.

Fees: UK/EU: £15,050 (FT)/£7,700 (PT); overseas: £26,890 (FT)/£12,890 (PT)

Who can apply:This programme is suitable for: + Those with a quantitative background who have an interest in energy and are motivated by the use of data science to solve sustainability problems + Those with an energy background who are interested in data science + Early and mid-career energy professionals looking to expand their data skills and domain knowledge.

MSc Data Science and Machine Learning

"Data Science brings together computational and statistical skills and machine learning for data-driven problem solving. This rapidly expanding area includes deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence."

Entry Requirements: A minimum of an upper second-class Bachelor's degree in a quantitative discipline (such as mathematics, computer science, engineering, physics or statistics) from a UK university or an overseas, qualification of an equivalent standard. Knowledge of mathematical methods including linear algebra, calculus, probability and statistics at first-year university level is required. Depending on the modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (R/matlab/python) is useful. Relevant professional experience will also be taken into consideration.

Fees: UK/EU: £14,320 (FT); overseas: £30,400 (FT)

MSc Data Science

"Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. This MSc will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking."

Entry Requirements: A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability, statistics and computer programming is required. Relevant professional experience will also be taken into consideration.

Fees: UK/EU: £14,730 (FT)/£7,410 (PT); overseas: £31,040 (FT)/£15,530 (PT)

Who can apply:The programme is accessible to students with first-degrees in a quantitative discipline (such as mathematics, statistics, physics, chemistry, biology, computer science, engineering or economics), who wish to gain advanced training in statistical analysis and computation to enable them to enter specialist employment or academic research.

MSc Data Science (International)

"This is a joint degree between UCL and UniSA and students that successfully complete the Programme will be issued a single certificate containing the names of both institutions. The Programme is built around a combination of Data Science programmes offered separately by both UCL and UniSA. Modules delivered by UCL for the Programme focus on theory, whilst the UniSA modules are comparatively more practical."

Entry Requirements: A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a recognised UK university or a non-UK qualification of an equivalent standard in a relevant discipline typically in the fields of mathematics or computer science. Students should be comfotable with a high level of programming in a language such as Python.

Fees:The fees for this programme are set in AUD and payable to UniSA.

Who can apply:This programme is best suited to those with an interest in big data and artificial intelligence, and those employed in fields such as marketing, healthcare, IT, government and finance, with an ever-increasing need for analytics professionals.

MSc Data Science for Cultural Heritage

"The Data Science for Cultural Heritage MSc (DSCH) provides an innovative opportunity to study data science through the exciting lens of cultural heritage. It is the first MSc to provide in-depth, practice-based data science training in a cultural heritage context, and aims to broaden the horizons of data science. The MSc will equip you to succeed as data scientist in diverse fields such as marketing, architecture, construction or media, as well as heritage and many more."

Entry Requirements: A minimum of a second-class UK Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required.

Fees: UK/EU: £14,160 (FT)/£7,050 (PT); overseas: £25,900 (FT)/£12,890 (PT)

Who can apply:You will have an engineering, computer science, applied mathematics or science background. Candidates with suitable professional experience or a social science or humanities background can also apply if they have a demonstrable computational or data analysis capability.

MSc Computational Statistics and Machine Learning

"This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision."

Entry Requirements: A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject such as computer science, statistics, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Students must be comfortable with undergraduate-level mathematics; in particular it is essential that the candidate will have knowledge of statistics at an intermediate undergraduate level. The candidate should also be proficient in linear algebra and multivariable calculus.

Fees: UK/EU: £14,320 (FT); overseas: £30,400 (FT)

Who can apply:The programme is suitable for students with good analytical abilities. Graduates will benefit directly from our excellent academic and industrial links, either by embarking on further study in a leading centre in machine learning/statistics or by taking up a place in industry, in information retrieval, finance or bioinformatics.

*2018 Application Statistics for MSc Machine Learning, MSc Computational Statistics and Machine Learning, and MSc Data Science and Machine Learning: https://www.whatdotheyknow.com/request/512314/response/1225192/attach/2/FOI%20018%20477.pdf?cookie_passthrough=1

MSc Computational Finance

"Students develop an advanced knowledge of computational methods in finance, which is a prerequisite for a successful career in the financial industry within 'quant' teams. Quants (development analysts) design and implement complex models and are sought after by banks, fund managers, insurance companies, hedge funds, and financial software and data providers."

Entry Requirements: An upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. Programming experience is an advantage but is not mandatory. Relevant work experience is also taken into account.

Fees: UK/EU: £21,010(FT); overseas: £32,520(FT)

Who can apply:The programme is suitable for those with a first degree in a quantitative subject wishing to develop a successful career in the financial industry.

MSc Business Analytics

"Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance."

Entry Requirements: A minimum of an upper second-class UK Bachelor’s degree or an overseas qualification of an equivalent standard. Applicants must have a strong aptitude for quantitative analysis and are likely to have studied a range of degrees including: management, mathematics, engineering, computer science, economics, and psychology.

Fees:UK/EU: £15,670 (FT); overseas: £30,400 (FT)

Who can apply:This is a postgraduate management degree programme designed for graduates with strong quantitative skills. We are looking for intellectually curious, self-motivated students who are passionate about business, technology and people, and who are prepared to commit to a rigorous and intellectually demanding academic programme.

MRes Computational Statistics and Machine Learning

"There is a high demand from industry worldwide, including from substantial sectors in the UK, for graduates with skills at the interface of traditional statistics and machine learning. MRes graduates benefit from the department's excellent links in finding employment and this programme is also ideal preparation for a research career."

Entry Requirements: A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject, or an overseas qualification of an equivalent standard. We require candidates to have studied a significant mathematics and/or statistics component as part of their first degree, and students should also have some experience with a programming language, such as MATLAB.

Fees:UK/EU: £14,320 (FT); overseas: £30,400 (FT)

Who can apply:Students are expected to have a strong background in a numerate subject, ideally mathematics, statistics or computer science. The MRes is particularly suitable for students who have some prior familiarity with data analysis and wish to engage in a substantial research project, prior to progressing to a research career.

MRes Spatial Data Science and Visualisation

"The Spatial Data Science and Visualisation MRes teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Students carry out their own research project, supported by academics, researchers and students within The Bartlett, UCL's Faculty of the Built Environment."

Entry Requirements: A minimum of an upper second-class Bachelor’s degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard. Applicants with a lower second-class Bachelor’s degree may be considered on their individual merit.

Fees: UK/EU: £10,240 (FT)/£5,080 (PT); overseas: £24,980 (FT)/£12,470 (PT)

Who can apply:The programme is ideal for people interested in creating visualisations, maps, analyses and models to understand spatial systems. Our students come from both humanities and social and physical science backgrounds including, geography, architecture, planning, software development, philosophy and landscape architecture. The programme has computational and technical elements, but we do not require computing qualifications for entry; just enthusiasm and the desire to learn.

LSE

Process: Apply online, CV, two academic references, academic achievement, statement of academic purpose, english language requirements

Requirements: 2:1 degree or equivalent in social science, data science, statistics or a quantitative field. Work experience is advantageous but not required

MSc Data Science

"The MSc Data Science provides training in data science methods, emphasising statistical perspectives. You will receive a thorough grounding in theory, as well as the technical and practical skills of data science. "

http://www.lse.ac.uk/study-at-lse/Graduate/Degree-programmes-2020/MSc-Data-Science

Assessment: Courswork, exams, Project

Fees: £29,184 for UK/EU, £29,760 for overseas

MSC Applicable Mathematics

"The MSc Applicable Mathematics is an innovative programme, drawing together traditional and modern mathematical techniques in a variety of social science contexts."

http://www.lse.ac.uk/study-at-lse/Graduate/Degree-programmes-2020/MSc-Applicable-Mathematics