Taught course

Advanced Computer Science with Big Data

Institution
University of Strathclyde · Department of Computer and Information Sciences
Qualifications
MSc

Entry requirements

Minimum second class honours degree or international equivalent.

Months of entry

September

Course content

This masters degree programme will allow you to select leading classes that span the breadth of both computer and information sciences, including theoretical computer science, human-computer interaction, information sciences, software engineering, machine learning and big data.

You'll gain an understanding of the new challenges posed by the advent of the big data revolution, particularly in relation to its modelling, storage, and access. You'll also come to understand the key algorithms and techniques embodied within data analytics solutions, and be exposed to a number of different big data technologies and techniques, seeing how they can achieve efficiency and scalability, while also addressing design trade-offs and their impacts.

You'll learn key technologies that are at the heart of big data analytics such as NoSQL databases and Hadoop and the Map-Reduce programming paradigm. You will also be equipped with a sound understanding of the principles of machine learning and a range of popular approaches, along with the knowledge of how and when to apply these.

You will also have the opportunity to implement and experiment with these machine learning algorithms using the most popular languages such as R and Python, and explore their applications to areas as diverse as analysing activity-related data captured using a smartphone to financial time-series prediction.

Information for international students

You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).

Qualification and course duration

MSc

full time
12 months

Course contact details

Phone
+44 (0)141 548 3096