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Data Science and Machine Learning MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

23-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Data Science

Course type

Taught

Course Summary

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.

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. This is a very new degree and information on graduate destinations is not currently available.

Employability Students gain a thorough understanding of the fundamentals required from the best practitioners, and the programme's broad base enables data scientists to adapt to rapidly evolving goals.

Modules

Applied Machine Learning (15 Credits) - Core
Introduction to Statistical Data Science (15 Credits) - Core
MSc Data Science and Machine Learning Project (60 credits) (60 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£18,000

International fees
Course fees for EU and international students

For this course (per year)

£35,000

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.

University information

UCL (University College London) is consistently ranked among the top ten universities in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury and a second campus in vibrant east London, the university is home to around 42,000 students...more