Computational Statistics and Machine Learning MSc 12 months Postgraduate Programme By UCL |TopUniversities
Subject Ranking

# =24QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

39,800 GBPTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), three to six optional modules (45 to 90 credits), up to three elective modules (0 to 45 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.

Upon successful completion of 180 credits, you will be awarded a MSc in Computational Statistics and Machine Learning.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), three to six optional modules (45 to 90 credits), up to three elective modules (0 to 45 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.

Upon successful completion of 180 credits, you will be awarded a MSc in Computational Statistics and Machine Learning.

Admission Requirements

185+
100+
69+
3.3+
7+
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.

1 Year
Sep

Domestic
20,500 GBP
International
39,800 GBP

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