Course Summary
This programme welcomes a wide audience of learners from cognate backgrounds.. The MSc in Business Analytics (Level 9, 90 ECTS) programme aims to provide learners with the theoretical knowledge and practical skills to critically analyse, evaluate and implement big data concepts and techniques in order to generate valuable business insights.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
This programme is aimed at learners with a Level 8 honours bachelor’s primary undergraduate degree in a cognate area (e.g. computer science, IT, science, mathematics, statistics, finance, economics, business (including quantitative methods), engineering, maths and management information systems), who wish to specialise in the field of business analytics with a view to entering industry, or those with a Level 8 honours bachelor’s primary undergraduate degree in a non-cognate area plus three to five years’ experience of business analytics and who require a qualification in this area in order to progress professionally. These will be assessed on a case-by-case basis. Learners will need to have achieved a minimum second class second division award (2.2 classification) in their honours Bachelor’s Level 8 degree.
For applicants whose first language is not English and who have not previously undertaken a degree taught in English must provide evidence of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFR). This must be evidenced through a recognised English Language test such as IELTS, Cambridge Certificate, or DBS English Assessment. Test certificates should be dated within the last two years to be considered valid.
Application Details
We are now accepting applications for programmes taking place in 2025.
Next Intake dates: September 2026
Fees
We are now accepting applications for programmes taking place in 2024.
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Enterprising
Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.
Career Progression
This programme is designed for managers, business innovators and leaders or those who aspire to enter these roles. Additionally, it will be of interest to data engineers and analysts interested in moving to a management role. This programme provides a roadmap to successfully exploit analytics and big data in order to bridge the gap between analytical concepts and business so that potential value is realised within the strategic objectives and operations of the company.
In a market-driven economy where competitive advantage is key, it is intended that graduates of this programme will meet the needs of organisations that wish to remain competitive through the strategic management and analysis of data.
Duration
This programme is delivered through both online and face-to-face modes of delivery, including classroom sessions (in-person and Zoom lectures), asynchronous content, and practical computer lab sessions.