MSc Transport with Data Science and Mathematical Optimisation 12 months Postgraduate Program By Imperial College London |Top Universities
Subject Ranking

# 11QS Subject Rankings

Program Duration

12 monthsProgram duration

Tuitionfee

40,900 GBPTuition Fee/year

Application Deadline

19 Jan, 2024Application Deadline

Program overview

Main Subject

Engineering - Civil and Structural

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Understand the fundamental concepts and techniques for the planning, design, management and delivery of transport infrastructure on this one-year course.
You will develop an understanding of machine learning and statistical optimistation to solve complex engineering design problems, working effectively as a group.
You'll learn how to evaluate transport projects and policies, taking into account the political, social, environmental, commercial and financial issues involved.
Utilising data science and optimisation skills, you will conduct a piece of independent research that demonstrates a contribution to knowledge in a research area of interest.
Further develop your understanding on road and rail transport in industrialised countries. You'll also consider contexts in less industrialised countries where transport problems persist.
This course will equip you for further PhD research in this specialist area, or a future career in transport planning, engineering, operations, management, policy or research.
You have the option of choosing between two streams. You should consider which stream is right for you according to your career aims and background. If an offer of admission is made, it will correspond to a specific stream. Switching streams is not possible once you have commenced your studies.

Program overview

Main Subject

Engineering - Civil and Structural

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Understand the fundamental concepts and techniques for the planning, design, management and delivery of transport infrastructure on this one-year course.
You will develop an understanding of machine learning and statistical optimistation to solve complex engineering design problems, working effectively as a group.
You'll learn how to evaluate transport projects and policies, taking into account the political, social, environmental, commercial and financial issues involved.
Utilising data science and optimisation skills, you will conduct a piece of independent research that demonstrates a contribution to knowledge in a research area of interest.
Further develop your understanding on road and rail transport in industrialised countries. You'll also consider contexts in less industrialised countries where transport problems persist.
This course will equip you for further PhD research in this specialist area, or a future career in transport planning, engineering, operations, management, policy or research.
You have the option of choosing between two streams. You should consider which stream is right for you according to your career aims and background. If an offer of admission is made, it will correspond to a specific stream. Switching streams is not possible once you have commenced your studies.

Admission Requirements

176+
92+
3.3+
62+
6.5+
2:1 in civil engineering, natural sciences, earth sciences or other numerate disciplines. A suitable grounding in mathematics is required, e.g. A-level grade B or higher.

19 Jan 2024
1 Year
Sep

Tuition Fee and Scholarships

Domestic Students

17,600 GBP
-

International Students

40,900 GBP
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

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A list of available scholarships around the world

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A scholarship application checklist

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