Heriot-Watt University
MSc Data Science (2 years)
Department of Computer Science
Scottish National Gallery of Modern Art, Edinburgh

MSc in Data Science (2 years) icon

This extended full-time postgraduate programme enables an honours graduate to obtain an MSc Data Science over 2 years. The first year's study imparts the knowledge and skills needed to do Masters level study in Data Science in the second year.

Students acquire the theory and skills for managing and analysing very large and complex data sets. They learn how to model, store and process them using the latest algorithms and techniques as well as modern methods and tools for visually exploring them.

The F2D4 MSc programme starts in mid September. Admission requires a good honours degree in a numerate subject area and an ability to write computer programs. Non-native English speakers require IELTS 6.0 with no part less than 5.5.

In the first year students take 4 courses each in semesters 1 and 2 and must take courses in bold. Students below IELTS 6.5 level on entry are asked to take the 2 English course options C69RP and C69RQ.

Year 1

Semester 1
F29AI AI and Intelligent Agents
F29DC Data Communications and Networking
F21DF Database and Information Systems
C69RP Research Preparation in English I
F21SF Software Engineering Foundations
F28WP Web Programming
Semester 2
F21AS Advanced Software Engineering
F28CD Creative Design Project
F17SC Discrete Mathematics
F27CS Introduction to Computer Systems
C11PA Project Management
C69RQ Research Preparation in English II

Progress to year 2 of the MSc Data Science depends on students gaining an 8 course average of 50%, no course below level D (40%+) and grades C (50%+) on F29AI, F21DF and F21SF. Students who don't continue, who have passed 8 courses at grades E+ with a 40% average, may exit with a Graduate Certificate in Computer Science.

Students progressing on the MSc Data Science to the second year take 4 courses each in semesters 1 and 2 and must take courses in bold:

Year 2

Semester 1
F21BC Biologically Inspired Computation
F21CN Computer Network Security
F21DL Data Mining and Machine Learning
F21SC Industrial Programming
F21IF Information Systems Methodologies
F21SA Statistical Modelling and Analysis
Semester 2
F21BD Big Data Management
F21CA Conversational Agents and Spoken Language Processing
F21DV Data Visualisation and Analytics
F21DE Digital and Knowledge Economy
F21EC e-Commerce Technology
F21RP Research Methods and Project Planning

After semester 2, students work full-time on the MSc project F21MP until the MSc ends in August.

2018/19 MSc Fees
YearUK and EUOverseas
1£5 360£12 800
2£5 360£18 680

Various schemes are available for financing study on this programme. Applications are made to the programme Admissions Officer at the School of Mathematical and Computer Sciences at Heriot-Watt University in Edinburgh.

Programme Requirements

To qualify for an MSc in Data Science, students must successfully complete 8 lectured courses at the appropriate level in the second year. The assessment of these courses is by examination and course work.

MSc students must also complete the project course F21MP at MSc level.

Further Information

For further information on the programme or to arrange a visit to the Department contact the admissions officer.

The Department reserves the right to modify the list of courses and may not run every course every year. It may not be possible to take all combinations of courses, students must satisfy the prerequisites of any courses and any course choice must be made in consultation with the programme director.