Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 2 Years Full-Time
Data Scientist has been dubbed the 'sexiest job title' (Harvard Business Review, 2012) with IBM predicting a 28% growth of jobs by 2020. The UK government has set out their strategy for the UK to be a world leader in data science to enable the growth of the UK economy. Data Scientists require a combination of statistical analytical skills, the ability to process large volumes of data efficiently, c.f. Big Data, and then to generate visualisations to explain the results.
This two year programme offers an opportunity for graduates looking to transition to a new career path in Data Science, yet coming from a background outside Computing. Whether your experience lies in Science, Technology, Mathematics or the Arts, this pathway programme is a rare opportunity to become well-versed in the advanced, challenging field of Data Science. Computer Science at Heriot-Watt is ranked 6th in Scotland by The Complete University league tables (2021).
Admission requires a good honours degree at UK 2:2 level (minimum), with evidence of numeracy and familiarity with a programming language.
This programme is designed for students with a non-Computer Science background who would benefit from a foundational year to help them to make a successful transition into Data Science. Therefore students will only be recruited into Year 1 of this programme. There is no direct entry into Year 2 of this programme.
See our website for fees
Year 1
Four courses are taken in each of two semesters in Year 1 and normally include all core courses.
SEMESTER 1
Core courses
Artificial Intelligence and Intelligent Agents
Databases and Information Systems
Software Engineering Foundations
Optional courses
Web Programming
Data Communications and Networking
SEMESTER 2
Core courses
Advanced Software Engineering
Optional courses
Creative Design Project
Project Management
Discrete Mathematics
Introduction to Computer Systems
Year 2
Four courses are taken in each of two semesters in Year 2 and normally include all core courses.
SEMESTER 1
Core courses
Data Mining and Machine Learning
Statistical Modelling and Analysis
Optional courses
Biologically Inspired Computation
Computer Network Security
Information Systems Methodologies
Industrial Programming
SEMESTER 2
Core courses
Big Data Management
Data Visualisation and Analytics
Research Methods and Project Planning
Optional courses
Digital and Knowledge Economy
e-Commerce Technology
After Semester 2, students continue full-time on the MSc project from May until August. It is assessed by a 15,000 word dissertation on a challenging practical problem in this subject area.
Masters study opportunities at Heriot-Watt University Why study at Heriot-Watt? Ranked 256th in the world and 32nd in the UK (QS World Un...
