Data Science and Machine Learning MSc

Duration	1 Year
Level	Masters Program

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 modeling, finance, bioinformatics and related areas in artificial intelligence
The program comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialized and advanced options covering computing and statistical modeling. Projects are offered both within UCL Computer Science and from a range of industry partners
The program 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)

Class 12th	No specific cutoff mentioned
Bachelors	60.0% 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 and calculus 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 A Bachelor's degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60% where a GPA scale is not used. The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken
Exams	IELTS: 7 Minimum of 6.5 in each of the subtests PTE: 69 Minimum of 62 in each Communicative Skill

Class 12th

No specific cutoff mentioned

Bachelors

60.0%

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 and calculus 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
A Bachelor's degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60% where a GPA scale is not used. The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken

Exams

IELTS: 7

PTE: 69

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