MPhil in Data Intensive Science 10 months Postgraduate Program By University of Cambridge |Top Universities
Program Duration

10 monthsProgram duration

Tuitionfee

51,047 GBPTuition Fee/year

Application Deadline

16 May, 2024Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MPhil

Study Level

Masters

Study Mode

On Campus

The course responds to the growing:
  • demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments;
  • societal demand for
  • ...
    Read more

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MPhil

Study Level

Masters

Study Mode

On Campus

The course responds to the growing:
  • demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments;
  • societal demand for
  • ...
    Read more

Admission Requirements

7+
100+
193+

Applicants for this course should have achieved a UK Good II.i Honours Degree.

Applicant’s degree should be in science or a technology discipline, and applicants are expected to demonstrate abilities at an adequate level in mathematics especially in the domain of linear algebra, statistics and probability. Candidates should also demonstrate sufficient training to engage with the scientific content of at least 2 minor modules.

16 May 2024
10 Months
Oct

  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fees

Domestic Students

29,075 GBP
-

International Students

51,047 GBP
-

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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