M.Sc. in Computational Science (Joint Degree UvA-VU)

Master

In Amsterdam (Netherlands)

£ 11,989.14 VAT inc.

*Indicative price

Original amount in EUR:

14,026 €

Description

  • Type

    Master

  • Location

    Amsterdam (Netherlands)

  • Duration

    2 Years

  • Start date

    September

Using scientific computing to predict outcomes and solve real-world problems
Computational Science seeks to explain the complex world we live in using technological simulations. By collecting data and creating computer models, computational scientists can make predictions that help to solve a variety of problems. For example:

predicting the path of a tornado
analysing the behaviour of financial markets
simulating the outcome of a surgical procedure before it’s used on a patient
improving the flow of traffic
determining how an epidemic will most likely spread
In this programme, a joint degree between VU Amsterdam and the University of Amsterdam (UvA), you will learn to apply algorithmic-driven procedures (step-by-step procedures for solving a problem in a limited number of steps) as well as mathematics and logic. You will also learn to apply the knowledge and skills you develop to different research areas in the natural sciences.

In the Computational Science programme, you will analyse real-world problems using real-world data. You will be trained in computational modelling, techniques for dealing with data, supercomputing, machine learning, and many other areas.

This is a joint degree programme of the University of Amsterdam and VU Amsterdam. Your classes will be taught at both universities, doubling your access to Computational Science expertise, professional networks and research projects. Your diploma will be accredited by both universities.

Facilities

Location

Start date

Amsterdam (Netherlands)
See map

Start date

SeptemberEnrolment now open

About this course



As a graduate of Computational Science, you will be highly valued for your knowledge and skills in this new field of science. You will be ready to start a career in any professional environment where computation is the core business.
As a Computational Science graduate, you will have skills in:

building computational models from real-life observations
turning these models into computational structures and performing large-scale simulations
applying theory in the analysis of complex simulations
analysing the results of your simulations in a virtual laboratory using advanced numerical algorithms
utilising the power of the largest supercomputers




Start working
Because the Computational Science programme offers a wide variety of specialisations, our graduates have gone on to work for a wide variety of employers, including:

Google
KPMG
ING Bank
The Dutch Ministry of Finance
Deltares
Nationale-Nederlanden

Or pursue an academic career
Many graduates have also opted for a research career and have pursued a PhD at international universities such as:

Oxford
ETH Zurich
University of Amsterdam


Scholarships for the Computational Science programme are primarily available through UvA. The Faculty of Science at UvA has several scholarship programmes that offer highly-motivated students, from both the Netherlands and abroad, the opportunity to pursue a science degree.

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

This centre's achievements

2020

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Computing
  • Biology
  • Economics
  • Computational Science
  • Simulation
  • University
  • Project
  • Systems
  • Joint
  • Computational
  • Science
  • Core concepts
  • Computational biology
  • Computational Finance

Course programme

Curriculum

Learn to apply computational science to solve complex societal problems

The master’s programme in Computational Science takes two years to complete. You will follow a compulsory core and you will also be given the flexibility to specialise and create your own profile.

The programme has three types of courses:

  • Compulsory core courses reflect the central body of knowledge in Computational Science such as modelling, simulation, and computing. Four courses are compulsory for all students in the programme.
  • Restricted-choice elective courses allow you to either deepen your knowledge on core topics or to broaden your scope.
  • Free-choice elective courses give you the freedom to select courses in the different application domains. These are an ideal way for you to expand your knowledge in an application domain in which you would like to conduct your master’s thesis project.

Specialise in one or more domains

Not only will you develop knowledge of the core concepts of Computational Science, but you can also specialise in one or more of the application domains, such as:

  • Computational Finance/Economics
  • Computational Biology
  • Computational Biomedicine
  • Computational Chemistry
  • High Performance Computing
  • Computational Earth Sciences
  • Scientific Computing, Numerical Math

These application domains are not official specialisation tracks that will appear on your diploma, but they areas in which you can specialise through your selection of courses, projects and research topics.

You can also choose to compile your own personalised curriculum, as long as it is approved by the Examinations Board.

The start date of this programme is September 1st.

First year

The first year of the Computational Science master’s programme is dedicated to compulsory core courses (24 EC), which cover topics such as:

  • computing & algorithms
  • modelling & simulation
  • massive-data processing
  • multidisciplinary collaboration

You will also choose 30 EC from the restricted-choice elective courses:

  • Evolutionary Computing
  • Introduction to Systems Biology
  • Large Scale Data Engineering
  • Programming Large-scale Parallel Systems
  • Performance of Networked Systems
  • Stochastic Simulation
  • Agent-based Modelling
  • Biosystems Data Analysis
  • Computational Finance
  • Experimental Design and Data Analysis
  • Scientific Computing
  • Computational Biology
  • Data Mining Technique
  • Distributed Algorithms
Second year

The second year is dedicated to the master’s thesis project (42 EC) and free-choice elective courses (24 ECTS).

Master’s thesis project

The master’s thesis project is a mandatory part of the Computational Science programme. You will carry out independent research, guided by a member of our academic staff.

Free-choice elective courses

These elective courses allow you to further specialise in a wide range of domains. You can also choose to complete an individual project for up to 12 of the 24 free-choice elective credits. Your selection of courses and project needs to be approved by the Examinations Board.


Additional information

Tuition fee EU: €1,084

M.Sc. in Computational Science (Joint Degree UvA-VU)

£ 11,989.14 VAT inc.

*Indicative price

Original amount in EUR:

14,026 €