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MSc Data Analytics
199, Cathedral Street, Glasgow, GB, Glasgow, United Kingdom
12 monthsProgram duration
31,100 GBPTuition Fee/year
Business AnalyticsMain Subject Area
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Study with us
On our MSc Data Analytics programme you'll:
You may also be interested in:
Why this course?
The MSc Data Analytics is designed to create rounded data analytics problem-solvers.
The course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.
You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.
The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:
This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.
Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations, who present case studies and challenging projects to our students.
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Study with us
On our MSc Data Analytics programme you'll:
You may also be interested in:
Why this course?
The MSc Data Analytics is designed to create rounded data analytics problem-solvers.
The course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.
You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.
The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:
This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.
Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations, who present case studies and challenging projects to our students.
Admission Requirements
Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.
There will be significant programming elements to the programme; many modules will require the student to use software packages such as Python and R, along with others. Students should have experience of working with programming languages, and a willingness to learn new ones.
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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