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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018
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Degree Programme Table: High Performance Computing with Data Science (MSc) (Full-time) (PTMSCHPCDS1F)

Jump to: Year 1

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

Notes:
Students must meet with their Personal Tutor to discuss their course options.

Compulsory courses

You must take these courses
Programming Skills

Must be taken during Semester 1

PGPH11079 10 credits
Message-Passing Programming

Must be taken during Semester 1

PGPH11078 10 credits
Threaded Programming

Must be taken during Semester 1

PGPH11077 10 credits
Project Preparation

Must be taken during Semester 2

PGPH11075 10 credits
Software Development

Must be taken during Semester 2

PGPH11081 10 credits
Fundamentals of Data Management

Must be taken during Semester 1

PGPH11088 10 credits
Data Analytics with High Performance Computing

Must be taken during Semester 2

PGPH11089 10 credits
Dissertation (HPC with Data Science)

Must be passed at 50% and taken during Block 5 (Sem 2) and beyond

PGPH11090 60 credits

Course options

Group A

Select exactly 50 credits in this group.

High Performance Computing with Data Science MSc - Level 11 options

Select between 10 and 50 credits of the following courses
Parallel Design Patterns
PGPH11071 10 credits
Parallel Programming Languages
PGPH11072 10 credits
HPC Ecosystem
PGPH11073 10 credits
Advanced Parallel Programming
PGPH11074 10 credits
Parallel Numerical Algorithms
PGPH11076 10 credits
HPC Architectures
PGPH11080 10 credits
Performance Programming
PGPH11082 10 credits
AND

Level 11 courses in Schedules O, P and Q

Select between 0 and 40 credits from Level 11 courses in Schedules O, P and Q
Notes:
The Programme Guide gives details and constraints on choice of courses to facilitate advance planning. Optional course selections must be discussed with, and approved by, the Personal Tutor.
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