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Imperial College London M.Sc Statistics - Data Science Fees, Eligibility, Admission & Deadlines

London, EnglandLocation

UniversitySchool type

Estd1907established year

16425enrollment

Public

Partner [1 Courses]

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Master of Science [M.Sc] (Statistics - Data Science)

STEM Course

1 year

Full Time

On Campus

Field of Study:

Data Science and Analytics

£38,600/Yr

£38,600 /Yr

Tuition Fees

Year	1st Year Fees
Tuition Fees	£38600 (GBP 38600)

Other Expenses

Head	Avg Cost Per Year
Housing	£12524 (GBP 12524)
Food	£4193 (GBP 4193)

Previous Year Tuition Fees

Year	1st Year Fees
2022	£35700 (GBP 35700)
2021	£39730 (GBP 39730)

Master of Science in Statistics - Data Science at Imperial College London is a 1-year program.
It is an on-campus, 90 credits program offered on a full-time basis.
This one-year, full-time program provides outstanding training in both theoretical and applied statistics.
The department offers 6 streams on the MSc in Statistics program that are:
- MSc Statistics (General)
- MSc Statistics (Applied Statistics)
- MSc Statistics (Biostatistics)
- MSc Statistics (Data Science)
- MSc Statistics (Statistical Finance)
- MSc Statistics (Theory and Methods)
During the summer term, students complete a research project with a member of the academic staff on a state-of-the-art research problem that suits their interests.
This course equips students with a range of transferable skills, including programming, problem-solving, critical thinking, scientific writing, project work, and presentation.
Many graduates go on to undertake roles in the employment and research sectors.
Students will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art research problem that suits their interests.
The assessment for students degree is made up of two-thirds core and optional modules, and one-third research project.
MSc in Statistics is accredited by the Royal Statistical Society.

Eligibility & Entry Requirement

Academic Eligibility:

Students must have a 2.1 degree in statistics, mathematics, engineering, physics, or computer science from a recognized university.
Students must be qualified in IELTS or TOEFL and PTE to get admission in this program.
Submission of GRE is recommended but not essential.

Indian Student Eligibility:

Indian students are eligible to apply if they complete one of the following eligibility criteria:

Students should have completed a 3-4 year bachelor's degree from a mainstream university (state/federal or deemed institution) passed with the required grades.
Students for research should hold a 3 to 4-year bachelor's degree and master's degree, both passed with required grades.
Applicants from elite institutions will be required to obtain a minimum overall average of 7 / 10 or 60%. These are the college minimum scores and particular departments may seek grades at a higher level.
Applicants from other approved institutions will be required to obtain a minimum overall average ranging from 7.5-8 / 10 or 65-70%.

Scores Required

92 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

62 / 90

Avg. Score in

PTE

314 / 340

Avg. Score in

GRE updated

Required Document List

The Documents required are:

Resume/CV - This provides a summary of a student's experience and skills.
Higher Secondary School Certificate - The certificate provided by the education board after completion of the Higher secondary education.
Statement of marks - The marks statement provided by the education board.
Financial Documentation - The Proof that shows the financial background of the student.
Letter of Recommendation - This shows who recommended the student to pursue the degree.
Statement of Purpose - This is an essay or any written statement written by the student while applying.
English Language Requirement - This shows the test score of English Proficiency Exams such as IELTS, TOFEL, PTE, etc.

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Career and Placement after Course

The possible career opportunities for students are:

Data Scientists
Data Analyst
Data Engineer
Business Intelligence Analyst
Marketing Analyst

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