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Overview

Overview

MISCADA’s unique selling point is that we combine generic methodological training with one particular application area (stream). Therefore, some people refer to MISCADA as a suite of MSc courses. All MISCADA flavours differ in the application specialisation, while they share their methodological core curriculum.

The one-year course is delivered into four types of modules (Professional Skills, Core modules, Specialisation and Project) spanning three terms and students have to complete certain credits from all four areas.

There’s an additional two-week preparatory module which students should attend if they have limited C programming experience. This part is delivered in hybrid mode prior to start of the official term.

All the legally binding information, i.e. which courses have to be chosen and what is available, can be found in the course’s core regulations. The core regulations for one academic year are typically released in the summer before the term starts, i.e. become available pretty late. Previous year’s regulations however give a good indication which modules are typically offered (not all of them run each individual year).

Schematic timetable

Structure of course

  • Every student picks one specialisation area. Please see the pull down menu on the top for information about particular specialisations. Within each specialisation, there is a set of compulsory lectures. Students pick their specialisation when they apply. Specialisation courses are mainly delivered in term 1 and term 2.
  • All of our students do the Professional Skills module. Professional skills are mainly delivered in term 1 and term 2 as block courses. Each subdomain spans 1.5-2 working days. We deliver them in weeks 5,10,15,20 and 25.
  • All of our students do Core I (basic methods training). These 30 credits are compulsory. They are delivered in term 1 in 4-week blocks.
  • All of our students do a selection of Core II modules (advanced methods). Here, you have some freedom. You can pick the modules of your choice towards the end of term 1/prior to term 2, i.e. we will ask you to indicate what you want to take when you register for the course, but you can change this selection later on.

Detailed timetable

Legend

Colour Semantics
One week Preparatory module. Should be taken by students with limited C knowledge, as it is mandatory to acquire these programming skills before the course starts.
One week University-wide activities and general information
One week Application domain (specialisation)
One week Generic core training (compulsory)
One week Generic core training (you can pick from several modules offered)
One week Professional skills workshop (1.5-2 days)
One week Week to complete coursework
One week Work on dissertation

Timetable

Prep Introduction to C (asynchronous)
Prep Introduction to C (asynchronous)
Term 1 / Induction Induction Week
Term 1 / Week 1 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia
(4hr/week; typically Statistics)
Core Ib
(4hr/week; typically Scientific Computing)
Term 1 / Week 2 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia
(4hr/week; typically Statistics)
Core Ib
(4hr/week; typically Scientific Computing)
Term 1 / Week 3 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia
(4hr/week; typically Statistics)
Core Ib
(4hr/week; typically Scientific Computing)
Term 1 / Week 4 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia
(4hr/week; typically Statistics)
Core Ib
(4hr/week; typically Scientific Computing)
Term 1 / Week 5 Professional Skills
Coursework
Term 1 / Week 6 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia (4hr/week; typically Machine Learning) Core Ib (4hr/week; typically HPC)
Term 1 / Week 7 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia (4hr/week; typically Machine Learning) Core Ib (4hr/week; typically HPC)
Term 1 / Week 8 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia (4hr/week; typically Machine Learning) Core Ib (4hr/week; typically HPC)
Term 1 / Week 9 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core Ia (4hr/week; typically Machine Learning) Core Ib (4hr/week; typically HPC)
Term 1 / Week 10 Professional Skills
Coursework
Term 2 / Week 11 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II
(students pick 30 (if specialisation has 45 credits) or 45 credits (if specialisation has 30 credits) from catalogue)
Term 2 / Week 12 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II
(students pick 30 (if specialisation has 45 credits) or 45 credits (if specialisation has 30 credits) from catalogue)
Term 2 / Week 13 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II
(students pick 30 (if specialisation has 45 credits) or 45 credits (if specialisation has 30 credits) from catalogue)
Term 2 / Week 14 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II
(students pick 30 (if specialisation has 45 credits) or 45 credits (if specialisation has 30 credits) from catalogue)
Term 2 / Week 15 Professional Skills
Coursework
Term 2 / Week 16 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II (students pick 30 or 45 credits from catalogue)
Term 2 / Week 17 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II (students pick 30 or 45 credits from catalogue)
Term 2 / Week 18 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II (students pick 30 or 45 credits from catalogue)
Term 2 / Week 19 Lectures and tutorials
(up to 8hr/week; depends on specialisation chosen)
Core II (students pick 30 or 45 credits from catalogue)
Term 2 / Week 20 Professional Skills
Coursework
Term 3 / Week 21 Professional Skills
Project
Term 3 / Week 22 Project
Term 3 / Week 23 Project
Term 3 / Week 24 Project
Term 3 / Week 25 Project
Term 3 / Week 26 Project
Term 3 / Week 27 Project
Term 3 / Week 28 Project
Term 3 / Week 29 Project
Term 3 / Week 30 Project