The ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a rapidly growing number of exploitations in a wide spectrum of applications. This course has been carefully planned and is designed to develop your knowledge and skills in modern data science practice. It combines a project-based approach with opportunity for personal development through a flexible and supportive learning experience.
- Data Science
- Artificial Intelligence
- Internet of Things
The underpinning practical and theoretical skills, such as programming, project management, statistics, develop along with timetabled teaching sessions and individual/group projects.You will benefit from a dedicated data science lab for teaching purposes in the new Engineering Innovation Centre (EIC) building. Equipment includes modern graphics processing unit (GPU) cards for running simulations of data science projects. The course team has domain experts with expertise in data science and related applications such as medical imaging, signal analysis for non-invasive inspection, computer aided diagnosis.
On this MSc, you’ll learn about the theory and practice of state-of-the-art data science with applications ranging from mathematics to physics, and from biology to computer science. The acquisition of large datasets is now common in academic science and industrial practice. You’ll develop the skills to provide appropriate and up-to-date tools to deal with datasets. Learn in an intellectually-stimulating environment, where you’re encouraged to develop your own research interests with the support of our faculty. You’ll also benefit from our links with other departments in the UK and overseas.
We have designed this MSc course in consultation with industry partners. This has enabled us to understand their needs for Data Scientists, what skills will be required and on successful completion of this course individuals will be highly employable within businesses.
Having this close understanding of what industry needs makes this course relatively unique and the very best suited to these looking for a career in the Data Sciences.
The course will be of specific interest to :
- A mathematics graduate wishing to use your skills in a vocational business based environment
- A computer science graduate wishing to follow a vocational route
- Individuals currently working in Business and looking to grow their career through gaining Data Science and Business Analytics skills
The knowledge we provide you with in these areas will give you all of the essential know-how on methods, tools and techniques to deliver in your career as a Data Scientist. We believe Data Science is very much an intellectual ‘contact sport’ and through this course we provide you with every opportunity to put your theoretical knowledge into practice.
The MSc Sports Performance Analysis programme is carefully aligned to employer needs and aims to provide the knowledge, skills and experience to successfully pursue a career in the area of Sports Performance Analysis. The course explores the processes, applications and contemporary issues of sports performance analysis with content framed around enhancing both academic insight and offering translational value to applied practice. There is a strong focus on the development of key practical competencies and software proficiency. The course aims to develop graduates who are proficient at the delivery of coach-driven, observational, and data-driven analyses. It also involves a mandatory, prolonged work placement offering invaluable industry relevant experience.
This course is highly vocational in nature and beneficial to those either wishing to seek future employment in Sports Performance Analysis, or, those currently employed within a professional club or organisation.It caters to the rapidly developing and evolving job market within the field of Sports Performance Analysis and is in response to the marked growth in career opportunities and proliferation of roles available to (aspiring/current) performance analysts within amateur and professional sporting organisations.
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.
The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a range of industry partners.
Students undertake modules to the value of 180 credits.The programme consists of three compulsory modules (45 credits), two to three optional modules (30 to 45 credits), two to three elective modules (30 to 45 credits) and a dissertation (60 credits).Upon successful completion of 180 credits, you will be awarded a MSc in Data Science and Machine Learning.
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.
The programme combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling. Students choosing the statistics specialisation will take one compulsory module and up to two additional modules in computer science, with the remaining modules (including the research project) taken mainly from within UCL Statistical 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.
You will learn how to link and analyse large complex datasets. You will also design and carry out complex and innovative clinical research studies that take advantage of the increasing amount of available data about the health, behaviour and genetic make-up of small and large populations. The programme draws on a range of areas, including epidemiology, computer science, statistics and other fields, such as genetics.
Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.
The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area.
We give you hands-on experience with various types of large-scale data and information handling, and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:
- Mobile and social application programming
- Human-computer interaction
- Computer vision
- Computer networking
- Computer security
You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information, and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.