Big Data and Business Intelligence, MSc
Master
In
Description
-
Type
Master
-
Duration
1 Year
Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.
This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems.
We focus on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Python and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.
Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.
Facilities
Location
Start date
Start date
About this course
Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of big data systems development.
A good first degree in computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience.
Or substantial commercial/industrial experience including software development using modern programming languages and design.
What you should know about this course
You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. As this programme was extensively updated in 2019, it has a current designation of Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 2022 after the first cohort of students graduate. Students will be kept updated on the status of this. In the very unlikely event that this does not progress as expected the university will support students with individual BCS membership applications at the point of graduation.
Reviews
-
You need not take any tort!
← | →
Course rating
Recommended
Centre rating
Yasmin Mohmed
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 11 years
Subjects
- Software Engineering
- Data Mining
- Java
- Data warehousing
- Internet
- Database
- Database training
- Warehousing
- Web
- Systems
- Technology
- Engineering
- Business Intelligence
Course programme
Students are required to study the following compulsory modules.
- MSc Project (60 credits)
- Big Data (15 credits)
- Advanced Database Technologies (15 credits)
- Applied Machine Learning (15 credits)
- Programming Fundamentals for Data Science (15 credits)
- Graph and Modern Databases (15 credits)
- Data Warehousing and Business Intelligence (15 credits)
- Essential Professional and Academic Skills for Masters Students
Students are required to choose 15 credits from this list of options.
- Software Tools and Techniques (15 credits)
- User Centred Web Engineering (15 credits)
- Clouds, Grids and Virtualisation (15 credits)
Students are required to choose 15 credits from this list of options.
- Systems Modelling (15 credits)
- Data Visualisation (15 credits)
Additional information
Home/international fees (2022)- £9,750 / £14,500
Big Data and Business Intelligence, MSc