University of Greenwich
Master of Science in Big Data and Business Intelligence
The Master of Science in Big Data and Business Intelligence in Business and Management is offered by University of Greenwich.
Program Length: 1 YEAR.
Description
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.
The University of Greenwich focuses 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 Hadoop, 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.What you should know about this course
- Students 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.
- This course is accredited by BCS, The Chartered Institute for IT, up to and including the 2019 intake for Partial CITP and Partial CEng (Further Learning). Re-accreditation is pending output of the recent accreditation visit. Currently, this course partially meets the Breadth of Knowledge requirement towards registration as a Chartered IT Professional and partially meets the academic requirement towards Chartered Engineering status.
What you will study
FULL TIME
Year 1
Students are required to study the following compulsory modules.Students are required to choose 15 credits from this list of options.
- MSc Project (60 credits)
- Data Warehousing (15 credits)
- Business Intelligence and Data Mining (15 credits)
- Big Data (15 credits)
- Advanced Database Technologies (15 credits)
- Programming Fundamentals for Data Science (15 credits)
- Graph and Modern Databases (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)
PART TIME
- Systems Modelling (15 credits)
- Data Visualisation (15 credits)
- Applied Machine Learning (15 credits)
Year 1
Students are required to study the following compulsory modules.Students are required to choose 30 credits from this list of options.
- Essential Professional and Academic Skills for Masters Students
Students are required to choose 30 credits from this list of options.
- Data Warehousing (15 credits).
- Software Tools and Techniques (15 credits).
- User Centred Web Engineering (15 credits).
- Clouds, Grids and Virtualisation (15 credits).
- Advanced Database Technologies (15 credits).
- Programming Fundamentals for Data Science (15 credits).
- Systems Modelling (15 credits).
- Business Intelligence and Data Mining (15 credits).
- Big Data (15 credits).
- Data Visualisation (15 credits).
- Applied Machine Learning (15 credits).
- Graph and Modern Databases (15 credits).
Year 2
Students are required to study the following compulsory modules.Students are required to choose 30 credits from this list of options.
- MSc Project (60 credits).
Students are required to choose 30 credits from this list of options.
- Data Warehousing (15 credits).
- Software Tools and Techniques (15 credits).
- User Centred Web Engineering (15 credits).
- Clouds, Grids and Virtualisation (15 credits).
- Advanced Database Technologies (15 credits).
- Programming Fundamentals for Data Science (15 credits).
- Systems Modelling (15 credits).
- Business Intelligence and Data Mining (15 credits).
- Big Data (15 credits).
- Data Visualisation (15 credits).
- Applied Machine Learning (15 credits).
- Graph and Modern Databases (15 credits).
Entry requirements
Applicants should have:
- 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.