United KingdomImperial College LondonMasters

Data Science and Mathematical Optimisation

The aim of this add-on option of our degree is to provide a concise and comprehensive introduction to key scientific methods for data analysis and mathematical optimisation from both a theoretical and an applied viewpoint.

assignment-lateDeadline:Jul 23, 2024
Data Science and Mathematical Optimisation - Cover
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Duration
1 year
Tuition Fee
£38,600 annually
Level
Masters
Attendance
On Campus
Format
Full Time

Description

About the Department

The aim of this add-on option of our degree is to provide a concise and comprehensive introduction to key scientific methods for data analysis and mathematical optimization from both a theoretical and an applied viewpoint.

This add-on is made up of the following modules:

Statistical Modelling

This module will provide you with a comprehensive understanding of statistical modeling fundamentals from a theoretical and applied viewpoint. It will develop the relevant theory, methodology, and computational techniques required for you to formulate and implement statistical models to represent real-world phenomena. The course will also teach you how to program statistical models in the R programming language using both R and the RStudio graphical user interface (GUI). A prerequisite for this course is that you must have a sufficient background in mathematics, including algebra, matrix algebra, and multivariate calculus.

Machine Learning

This module will provide you with a comprehensive understanding of machine learning concepts and their application to civil engineering applications. It will cover the three principal subfields of modern machine learning, namely supervised, unsupervised, and reinforcement learning. Application examples will be drawn from a broad range of civil engineering applications, including transport. The module will also teach you how to implement machine learning models using the Python programming language, using common numerical analysis libraries (such as NumPy), and specialized tools, such as sci-kit-learn and PyTorch.

Mathematical Optimisation

This module will provide you with the mathematical and computational concepts required for formulating and solving a wide range of mathematical optimization problems. The module will cover the mathematical definitions of objective functions, constraints, optimality conditions, and optimal solutions. You will be exposed to different optimization problem formulations, solution methods, and examples from different application domains across civil engineering (including transport).    

Requirement

Applicants must possess a bachelor's degree with CGPA > 2.50/4.00 OR 3.0-3.5/5.00

A copy of your international Passport Bio-Data Page.

WAEC Certificate

Undergraduate Certificate (ND & HND)

Undergraduate Transcript  (ND & HND)

Passport Photograph

Curriculum Vitae

Two reference letters.

Statement of Purpose in English (A letter that states the Applicant’s Purpose for choosing the Program ).

Upper-intermediate command of English (equivalent to IELTS 6.0+ or TOEFL 79+ level, but no certificate required) 


Fees

Tuition Fee for Local students and Ireland£ 16,600.00

Tuition Fee £38,600 annually
Application Fee £0
Acceptance Fee £0
Housing Fee £500- £600 monthly
Living Fee £300- £399 monthly

Addition Information

DegreeMSC
Duration1 year
AttendanceOn Campus
LevelMasters
Country🇬🇧 United Kingdom
Campuses
Main Campus
FormatFull Time
Intakes
Fall 2023, Fall 2024
Study LanguageEnglish
Application Fee£0

£38,600 per year

assignment-lateJul 23, 2024
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