Data Science MSc

Duration	1 Year
Level	Masters Program

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 program combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialized knowledge in statistical computing and modeling. Students choosing the statistics specialization 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
The program consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation/report (60 credits)

Class 12th	No specific cutoff mentioned
Bachelors	60.0% 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 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 the university level and familiarity with introductory probability, statistics, and computer programming is required. Relevant professional experience will also be taken into consideration
Exams	IELTS: 6.5 Minimum of 6.0 in each of the subtests PTE: 62 Minimum of 59 in each Communicative Skill

Class 12th

No specific cutoff mentioned

Bachelors

60.0%

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
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 the university level and familiarity with introductory probability, statistics, and computer programming is required.
Relevant professional experience will also be taken into consideration

Exams

IELTS: 6.5

PTE: 62

Contact form