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MSc - Master of Science
Docklands Campus.
Full Time
MAY-26
1 Year
Select a course option
MSc - Master of Science
Docklands Campus.
Full Time
MAY-26
1 Year
MSc - Master of Science
Docklands Campus.
Full Time
JAN-26
1 Year
MSc - Master of Science
Docklands Campus.
Full Time
SEP-26
1 Year
MSc - Master of Science
Docklands Campus.
Full Time
JAN-27
1 Year
MSc - Master of Science
Docklands Campus.
Part Time
MAY-26
2 Years
MSc - Master of Science
Docklands Campus.
Part Time
SEP-26
2 Years
MSc - Master of Science
Docklands Campus.
Part Time
JAN-26
2 Years
Select a an exam type
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data. The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.Our specialist laboratories have everything you will need to develop a thorough critical understanding and gain valuable hands-on experience in a wide range of emerging technologies, such as the Cyber Forensic lab, the OpenStack Cloud platform, and multiple Big Data platforms.Our dedicated and specialist staff will support you throughout the course and you will be assigned a personal tutor, a course tutor, and module tutors to oversee your progress. Dr Amin Karami, the programme leader, has a wide range of expertise in Big Data Analytics, Computational Intelligence, and Cyber Security in both industry and academia.We specialise in a number of areas including Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems, and Security - in all these areas there is a shortage of qualified practitioners. This course will open up fantastic new opportunities to develop your career and increase your earning potential, either within the industry or in academia.
Students need to have bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths
Students living in
Domestic
£11,340 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£16,740 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£16,740 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
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