Degree Regulations & Programmes Of Study 2017/2018
University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
General Disclaimer
DRPS : DPTs :  School of Mathematics DPTs

Degree Programme Table: Computational Applied Mathematics (MSc) - 1 Year (Full-time) (PTMSCCOMAM1F)

Jump to: Year 1

Year 1 Academic year: 2017/18, Starting in: September

Notes:
Before selecting your optional courses, please ensure that you have met with your Personal Tutor.

Compulsory courses

You must take these courses
Mathematics of Data Assimilation

Must be taken during Semester 1

MATH11170 10 credits
Applied Dynamical Systems

Must be taken during Semester 1

MATH11140 10 credits
Object-Oriented Programming with Applications

Must be taken during Semester 1

MATH11152 10 credits
Scientific Computing

Must be taken during Semester 1

MATH11198 10 credits
Research Skills for Computational Applied Mathematics

Must be taken during Semester 2

MATH11197 20 credits
Numerical Partial Differential Equations with Applications

Must be taken during Semester 2

MATH11191 10 credits
Dissertation (CAM)

Must be taken during Block 5 (Sem 2) and beyond

MATH11195 60 credits

Course options

Group A

Select exactly 20 credits in this group.

CAM : SEMESTER 1 : option courses - 2017-18

Select exactly 20 credits of the following courses
Applied Stochastic Differential Equations
MATH10053 10 credits
Fundamentals of Optimization
MATH11111 10 credits
Statistical Programming
MATH11176 10 credits
Numerical Linear Algebra and Applications
MATH11196 10 credits
Python Programming
MATH11199 10 credits
AND

Group B

Select exactly 30 credits in this group.

CAM : SEMESTER 2 Option List A - 2017-18

Select between 20 and 30 credits of the following courses
Notes:
Please confirm delivery periods using the course links
Numerical Ordinary Differential Equations and Applications
MATH10060 10 credits
Multi-scale Methods in Mathematical Modelling
MATH11141 10 credits
Mathematics in Action A
MATH11180 10 credits
AND

CAM : SEMESTER 2 Option List B - 2017-18

Select between 0 and 10 credits of the following courses
Notes:
Please confirm delivery periods using the course links
Large Scale Optimization for Data Science
MATH11147 10 credits
Optimization Methods in Finance
MATH11158 10 credits
Data Analytics with High Performance Computing
PGPH11089 10 credits
AND

Level 11 courses in Schedules O, P and Q

Select between 0 and 10 credits from Level 11 courses in Schedules O, P and Q
Notes:
Please confirm delivery periods using the course links
Privacy & cookies
© Copyright 2017 The University of Edinburgh - 5 July 2017 2:02 am