
Overview
You’ll study three core units. The Computational Statistics and Visualisation unit will get you fully up to speed with the statistical techniques and software you’ll need. In the Business Intelligence unit you’ll learn how to put that software to use with real-life business data. You’ll then be ready for your Data Analytics Project, an end-to-end task that covers all the bases you’ll come across in the workplace.
Throughout it all, you’ll learn from professional staff with relevant industry experience. They’ll not only support your learning but also give you practical insights into the world of work.
It’s all about turning you into an expert. The rest is up to you. With specialist knowledge and technical skills that are valuable across a wide range of businesses and sectors, you’ll be well placed to succeed in this high-growth industry.
Career
The advanced skills and understanding you’ll develop on the Data Analytics programme from Manchester Metropolitan University can take you into data analytics roles across a range of industries, in both the public and private sectors. You could apply for jobs like SQL data analyst, data quality analyst, insight data analyst, business intelligence analyst and statistical data analyst, to name a few.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Computational Statistics and Visualisation
- Business Intelligence
- Data Analytics Project
- Data Modelling and Analysis then Ethics, Security and Sustainability
- Data Modelling and Analysis then Business Analytics
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
Language
Credits
Delivered
Disciplines
Informatics & Information Sciences Business Intelligence & Analytics Data Science & Big Data View 228 other Masters in Data Science & Big Data in United KingdomExplore more key information
Visit official programme websiteAcademic requirements
English requirements
Other requirements
General requirements
Open to non-computing graduates with at least a second-class honours degree in a STEM (Science, Technology, Engineering or Mathematics) or a numerate discipline, or to applicants with a good sub-degree STEM qualification and substantial relevant work experience in a closely related area.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
-
International
15500 GBP/yearTuition FeeBased on the original amount of 15500 GBP per year and a duration of 12 months. -
EU/EEA
8500 GBP/yearTuition FeeBased on the original amount of 8500 GBP per year and a duration of 12 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.