MSc Business Analytics and Technologies: Extended
University of Greater Manchester
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Qualification

MSc - Master of Science

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Location

University of Bolton

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Study mode

Full Time

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Start date

JAN-25

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Duration

18 months

Course info

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Qualification

MSc - Master of Science

Location

University of Bolton

Study mode

Full Time

Start date

JAN-25

Duration

18 months

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Computer Science
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Course info

Business analytics is crucial to the success of companies of all sizes, supporting managers to make informed decisions, streamline processes and plan effectively. Organisations need highly-skilled professionals to process and interrogate business data to identify the patterns, trends, and correlations that support them to optimise their processes for cost savings, improve customer experience and identify opportunities for growth. By studying the University of Boltons MSc Business Analytics and ...Read more

Business analytics is crucial to the success of companies of all sizes, supporting managers to make informed decisions, streamline processes and plan effectively. Organisations need highly-skilled professionals to process and interrogate business data to identify the patterns, trends, and correlations that support them to optimise their processes for cost savings, improve customer experience and identify opportunities for growth. By studying the University of Bolton's MSc Business Analytics and Technologies degree you can develop essential knowledge and understanding of data analysis methods and business intelligence principles and practices while experiencing life at our supportive, student-focused, multicultural campus.A distinctive feature of this programme is the development of essential computer programming and data analytics skills no prior expertise is assumed. We offer the knowledge and skills needed to interrogate and make sense of data, unlock vital insights and communicate your discoveries, so you can help turn business data into actionable insights that support good operational, tactical and strategic decision-making. Our expert and dedicated team will cover essential computing, data analytics, business, marketing, and life skills, including leadership, advanced analysis, creativity and problem-solving techniques. We'll support you as you learn to provide insight and analysis through clear visual, written and verbal communication.Within each module, we'll explore relevant issues, strategies and practices, using live case studies, guest speakers from industry, and the latest research evidence. You'll have a choice of option modules covering specialist topics, and you'll agree on a capstone project with your supervisors that is completely tailored to your experience and specialism.

Key stats

Computer Science
WUSCA ranking:
WUSCA student ranking
These are the 2024 rankings, based on ratings given by past and current students.
25/101
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
108th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
108th
What students say
T
Tahmain
06 Feb 24

This University is the..Read more

M
Muatsim
06 Feb 24

Better faculty is required..Read more

Modules

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Entry requirements

You should have at least a lower second class (2.2) honours degree (or equivalent) in any subject or five years of relevant work experience. You do not need prior experience in computer programming or data analytics. You must also have GCSE Mathematics at grade C or above or grade 4 to 9. Please get in touch with us for details of other acceptable qualifications. You'll need to attain a minimum mark in a diagnostic mathematics test if you don't have an acceptable mathematics qualification.

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Latest reviews

Latest Data Analysis reviews

Data Analysis
Data Analysis
T
Tahmain
06 Feb 24
MSc Data Analytics and Technologies: Extended
This University is the...
Read more
M
Muatsim
06 Feb 24
MSc Data Analytics and Technologies: Extended
Better faculty is required...
Read more
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Uni info

University of Greater Manchester
Deane Road Bolton BL3 5AB United Kingdom
Nearest train station: Bolton  0.2 miles away
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