THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19
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Degree Programme Table: Data Science (Graduate Apprenticeship) BSc - 4 Years (UTBSCDATSC1F)

Jump to: Year 1, Year 2, Year 3, Year 4

Year 1 Academic year: 2020/21, Starting in: September

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

Please note that all Year 1 and Year 2 students will also be expected to undertake two 10 week work-based professional practice sessions during the summer periods at the end of the year - 'Work-Based Professional Practice A' in Year 1, and 'Work-Based Professional Practice B' in Year 2. Both courses will be assessed in Year 3.

Compulsory courses

You must take these courses
Introduction to Linear Algebra

Must be passed

MATH08057 20 credits
Informatics 1 - Introduction to Computation

Must be passed

INFR08025 20 credits
Calculus and its Applications

Must be passed

MATH08058 20 credits
Proofs and Problem Solving

Must be passed

MATH08059 20 credits
Informatics 1 - Object Oriented Programming

Must be passed

INFR08029 20 credits

Course options

Group A

Select exactly 20 credits in this group.

Fundamentals of Algebra and Calculus

Select between 0 and 20 credits of the following courses
Notes:
Students that don't have at least a B pass in Advanced Higher Mathematics (or equivalent) are strongly advised to take this course option - Fundamentals of Algebra and Calculus MATH07003.
Fundamentals of Algebra and Calculus
MATH07003 20 credits
AND

Introduction to Data Science

Select between 0 and 20 credits of the following courses
Introduction to Data Science
MATH08077 20 credits
AND

Level 7 and 8 courses in Schedules A to Q, T and W

Select between 0 and 20 credits from Level 7 and 8 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine, Veterinary Studies, or the Centre for Open Learning.

Year 2 Academic year: 2020/21, Starting in: August

Notes:
Please note that all Year 1 and Year 2 students will also be expected to undertake two 10 week work-based professional practice sessions during the summer periods at the end of the year - 'Work-Based Professional Practice A' in Year 1, and 'Work-Based Professional Practice B' in Year 2. Both courses will be assessed in Year 3.

Compulsory courses

You must take these courses
Several Variable Calculus and Differential Equations

Must be passed

MATH08063 20 credits
Probability

Must be passed

MATH08066 10 credits
Facets of Mathematics

Must be passed

MATH08068 10 credits
Informatics 2 - Introduction to Algorithms and Data Structures

Must be passed

INFR08026 20 credits
Informatics 2 - Foundations of Data Science

Must be passed

INFR08030 20 credits
Statistics (Year 2)

Must be passed

MATH08051 10 credits
Computing and Numerics

Must be passed

MATH08065 10 credits

Course options

Group A

Select exactly 20 credits in this group.

Yr2 Data Science GA

Select exactly 20 credits of the following courses
Notes:
Students MUST select one of the following courses
Selected courses must be passed
Informatics 2D - Reasoning and Agents
INFR08010 20 credits
Informatics 2 - Software Engineering and Professional Practice
INFR08032 20 credits
Fundamentals of Pure Mathematics
MATH08064 20 credits

Year 3 Academic year: 2020/21, Starting in: August

Compulsory courses

You must take these courses
Numerical Linear Algebra

Must be passed

MATH10098 10 credits
Statistical Methodology

Must be passed

MATH10095 10 credits
Introductory Applied Machine Learning

Must be passed

INFR10069 20 credits
Work-Based Professional Practice A in Data Analytics

Must be passed

INFR09052 20 credits
Work-Based Professional Practice B in Data Analytics

Must be passed

INFR10075 40 credits

Course options

Group A

Select exactly 20 credits in this group.

Informatics Hons 3rd Yr Graduate Apprenticeship

Select exactly 20 credits of the following courses
Notes:
Note: Not all options are guaranteed to run in a particular year. Availability is subject to change, timetabling, and demand.
Introduction to Databases
INFR10080 20 credits
Honours Differential Equations
MATH10066 20 credits
Honours Analysis
MATH10068 20 credits

Year 4 Academic year: 2020/21, Starting in: August

Compulsory courses

You must take these courses
Statistical Consultancy

Must be passed

MATH10092 10 credits
Practical Introduction to High Performance Computing

Must be passed

INFD11009 20 credits
Honours Project (Data Science Graduate Apprenticeship)

Must be passed

INFR10081 40 credits

Course options

Group A

Select exactly 20 credits in this group.

Introduction to Databases

Select between 0 and 20 credits of the following courses
Notes:
Note: Not all options are guaranteed to run in a particular year. Availability is subject to change, timetabling, and demand.
Introduction to Databases
INFR10080 20 credits
OR

Software Design and Modelling

Select between 0 and 20 credits of the following courses
Notes:
Note: Not all options are guaranteed to run in a particular year. Availability is subject to change, timetabling, and demand.
Software Design and Modelling
INFR10064 20 credits
AND

Group B

Select exactly 30 credits in this group.

Informatics Honours 4th YR Graduate Apprenticeship

Select exactly 30 credits of the following courses
Notes:
Note: Not all options are guaranteed to run in a particular year. Availability is subject to change, timetabling, and demand.
Human-Computer Interaction (Level 11)
INFR11017 10 credits
Machine Learning and Pattern Recognition
INFR11130 20 credits
Financial Mathematics
MATH10003 10 credits
Fundamentals of Operational Research
MATH10065 10 credits
Honours Differential Equations
MATH10066 20 credits
Honours Analysis
MATH10068 20 credits
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