Skip to main content
  • Education
  • Research
  • UM in the world
  • Life@UM
  • News & events
  • About UM
  • Support

You are here

  1. Home
  2. Education
  3. Master's
  4. Data Science for Decision Making
  5. Courses & curriculum
  • NL
  • EN
Data Science for Decision Making

Courses & curriculum 2023 - 2024

The master’s programme in Data Science for Decision Making teaches the use of applied mathematics to analyse and optimize processes, problems and operations. In the first year you start by following a number of core courses which will be complemented with two (semester-long) projects. From the second semester onwards, you will be able to pursue your own interests with a number of elective courses. Please find more information about these courses in our table below. During the second year you can further tailor the programme to your interests and for example do an international exchange at one of our partner Universities.

Want to view the courses of previous years?

Choose one of the academic years below to view the pdf.

  • 2022-2023
  • 2021-2022
  • 2020-2021
  • 2019-2020

Department of Advanced Computing Sciences - Study Guide

This study guide provides information on the educational programme of the Department of Advanced Computing Sciences, part of the Faculty of Science and Engineering (FSE).

Study guide Download now
  • First year courses Read more
    Period More course data
    langday
    ECTS
  • Second year courses Read more
    Period More course data
    langday
    ECTS

Share this page:

  • Facebook logo Facebook
  • Twitter logo Twitter
  • LinkedIn logo LinkedIn
  • Forward
  • Pinterest
  • Reddit logo Reddit
  • Why UM?
  • Pre-bachelor's
  • Bachelor's
  • Pre-master's
  • Master's
  • Excellence and honours programmes
  • PhD
  • Professionals
  • Exchange
  • Other courses
  • EDLAB

Data Science for Decision Making

  • Why this programme?
  • Specialisations
  • Courses & curriculum
  • Rankings & recognition
  • Your future
  • Admission requirements
  • Admission & registration
  • Tuition fees
  • Contact & meet us