The Health Data Analytics and Machine Learning MSc at Imperial College London is a comprehensive one-year full-time program designed to equip students with advanced skills in analyzing health data. The course emphasizes methodological rigor and practical application, preparing graduates for careers in medical research, healthcare analytics, and data-driven industry roles.

  • London, UK
  • 1 year
  • On Campus
  • ₹53,71,650/Year

Pros & Cons

Not enough reviews to generate pros and cons

Popular Tags

Be the first one to share your experience and help other students.

Be the first one to share your experience.

0%

  • Full Star
  • Full Star
  • Full Star
  • Full Star
  • Full Star

0%

  • Full Star
  • Full Star
  • Full Star
  • Full Star
  • Empty Star

0%

  • Full Star
  • Full Star
  • Full Star
  • Empty Star
  • Empty Star

0%

  • Full Star
  • Full Star
  • Empty Star
  • Empty Star
  • Empty Star

0%

  • Full Star
  • Empty Star
  • Empty Star
  • Empty Star
  • Empty Star

Category Rating

No category ratings available

Program Overview

The Health Data Analytics and Machine Learning MSc at Imperial College London is a comprehensive one-year full-time program designed to equip students with advanced skills in analyzing health data. The course emphasizes methodological rigor and practical application, preparing graduates for careers in medical research, healthcare analytics, and data-driven industry roles.

QS World Ranking

Not Available in Not Available

Class Size

400 Students

Key Features

Specializations Available

AI/ML, Systems, Theory, Human-Computer Interaction

Research Opportunities

Access to cutting-edge research labs and industry partnerships

Admission Requirements

PTE Academic

69.0

Key Dates

Application Start time & Deadline

Starting 2025-09-01

Apply before 2025-08-01

Program Start

Sep-25

Programme Structure

Courses include: Statistical Thinking and Data Analysis Principles and Methods of Epidemiology Clinical Data Management Molecular Epidemiology Translational Data Science Machine Learning Computational Epidemiology

Program Highlights

  • Comprehensive curriculum covering all key topics
  • Hands-on projects and real-world case studies
  • Expert faculty with industry experience
  • Career support and placement assistance

Academic Requirements

GPA
3.5

English Language Requirements

PTE Academic
69.0
Overall Score

Additional Requirements

    Applicants must hold a minimum of a 2.1 degree in mathematics, statistics, epidemiology, biology, or a related medical field. Relevant professional experience or prior research in these areas is advantageous but not mandatory. All candidates should demonstrate strong analytical and quantitative skills aligned with the program's rigorous academic standards.

Course Fees

₹53,71,650/Year
Annual Fee

1 year
Total Duration

Living Costs

    No Living costs available.

University Scholarships

MSc + PhD Departmental Scholarships for Women 2024

N/A

Amount

Various benefits

Deadline

Not Available

Presidential Scholarships for students of Black heritage

N/A

Amount

21000 GBP

Deadline

Not Available

External Scholarships

Rochelle Nicolette Perry Memorial Scholarship

N/A

Amount

1250 USD

Deadline

Not specified

Organization of American States (OAS) Academic Scholarship Program

N/A

Amount

Various benefits

Deadline

Not specified

Master's Scholarship

N/A

Amount

Various benefits

Deadline

Not specified

Denise Halbach Performance Scholarship

N/A

Amount

2000 USD

Deadline

15 Apr 2025

Thomas Jefferson Prize in United States History

N/A

Amount

300 EUR

Deadline

Anytime

Eligibility Requirements

    No Eligibility Requirements Available

Application Process

    No Application Steps Available

News About Abroad

No news articles found