Data Science [MSc]
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I had an average review for it. The city is great but whatever university has been chosen is great. Moreover, it is more about grades than learning.
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I love this university a lot. Glasgow is a great city and the campus is amazing. It has such a nice atmosphere and I love to keep bumping into my friends
← | →
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I am so glad that I came here and chose this place to study. Part-time study and working at 2 places gets difficult at times but it is worth it.
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Postgraduate
In Glasgow
Description
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Type
Postgraduate
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Location
Glasgow (Scotland)
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Start date
Different dates available
The University of Glasgow’s School of Computing Science is consistently highly ranked achieving 1st in Scotland and 2nd in the UK (Guardian University Guide 2014) The School is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education. With a 97% overall student satisfaction in the National Student Survey 2014, the School of Computing Science continues to meet student expectations combining both teaching excellence and a supportive learning environment. You will have opportunities to meet employers who come to make recruitment presentations, and often seek to recruit our graduates during the programme. You will benefit from having 24-hour access to a computer laboratory equipped with state-of-the-art hardware and software.
Facilities
Location
Start date
Start date
Reviews
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I had an average review for it. The city is great but whatever university has been chosen is great. Moreover, it is more about grades than learning.
← | →
-
I love this university a lot. Glasgow is a great city and the campus is amazing. It has such a nice atmosphere and I love to keep bumping into my friends
← | →
-
I am so glad that I came here and chose this place to study. Part-time study and working at 2 places gets difficult at times but it is worth it.
← | →
Course rating
Recommended
Centre rating
V.C
Emily
Hannah
Melissa
Subjects
- IT
- School
- Systems
- Computing
- University
Course programme
Modes of delivery of the MSc in Data Science include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.
Core courses- Big data
- Distributed algorithms and systems
- Information retrieval
- Machine learning
- Research methods and techniques
- Masters team project.
- Advanced operating systems
- Artificial intelligence
- Computer architecture
- Computer vision methods and applications
- Constraint programming
- Cyber security
- Enterprise computing
- Financial software engineering
- Functional programming
- Human computer interaction
- Human computer interaction: design and evaluation
- Human-centred security
- Information technology architecture
- Mobile human computer interaction
- Multimedia systems and applications
- Safety critical systems.
Depending on staff availability, the optional courses listed here may change.
If you wish to engage in part-time study, please be aware that dependent upon your optional taught courses, you may still be expected to be on campus on most week days.
Additional information
- To complete the MSc degree you must undertake a project worth 60 credits. This is a project chosen by you to investigate a challenging but constrained Data Science problem.
- The project will integrate the subject knowledge and generic skills that you will acquire during your Masters.
- We offer a wide range of projects, and each student is normally allocated a different project. We take your preferences into account when we allocate the projects.
- You will also have the opportunity to propose your own project, subject to academic approval. ...
Data Science [MSc]
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