12 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This course is designed to prepare you for a successful career in the data-driven business world. It is particularly suited to those from a business or non-technical background who want to expand into analytics. You’ll gain sought-after skills in data analytics, visualisation and programming, while developing practical business skills such as leadership and problem solving.
You’ll explore a range of analytical approaches such as identifying trends, forecasting outcomes and making data-informed decisions. Teaching is centred on applying analytics techniques to real business challenges, allowing you to put your learning into practice straight away. The curriculum combines technical skills like AI, programming and data visualisation with a strong emphasis on ethical data use, communication, and responsible leadership.
This course will enable you to:
You’ll explore a range of analytical approaches such as identifying trends, forecasting outcomes and making data-informed decisions. Teaching is centred on applying analytics techniques to real business challenges, allowing you to put your learning into practice straight away. The curriculum combines technical skills like AI, programming and data visualisation with a strong emphasis on ethical data use, communication, and responsible leadership.
This course will enable you to:
- Apply technical knowledge to real-world business challenges
- Develop a strategic understanding of data use within the relevant legal and ethical frameworks
- Lead analytics teams and manage data-driven projects
- Build a strong foundation in programming, data storytelling and decision-making through industry-standard tools like Python, SQL and Power BI.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This course is designed to prepare you for a successful career in the data-driven business world. It is particularly suited to those from a business or non-technical background who want to expand into analytics. You’ll gain sought-after skills in data analytics, visualisation and programming, while developing practical business skills such as leadership and problem solving.
You’ll explore a range of analytical approaches such as identifying trends, forecasting outcomes and making data-informed decisions. Teaching is centred on applying analytics techniques to real business challenges, allowing you to put your learning into practice straight away. The curriculum combines technical skills like AI, programming and data visualisation with a strong emphasis on ethical data use, communication, and responsible leadership.
This course will enable you to:
You’ll explore a range of analytical approaches such as identifying trends, forecasting outcomes and making data-informed decisions. Teaching is centred on applying analytics techniques to real business challenges, allowing you to put your learning into practice straight away. The curriculum combines technical skills like AI, programming and data visualisation with a strong emphasis on ethical data use, communication, and responsible leadership.
This course will enable you to:
- Apply technical knowledge to real-world business challenges
- Develop a strategic understanding of data use within the relevant legal and ethical frameworks
- Lead analytics teams and manage data-driven projects
- Build a strong foundation in programming, data storytelling and decision-making through industry-standard tools like Python, SQL and Power BI.
Admission Requirements
Relevant experience (Recognition of Prior Learning)
GCU's flexible entry policies exist to allow relevant work experience and prior learning to be considered towards standard entry or advanced entry into a course.
If you do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning (RPL) scheme.
GCU's flexible entry policies exist to allow relevant work experience and prior learning to be considered towards standard entry or advanced entry into a course.
If you do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning (RPL) scheme.
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
0 GBP
International
0 GBP
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