Your qualification fit
58% in a bachelor's degree from a recognised institution
Check my qualifications →University of Lancashire · Preston
MSc Data Science
A conversion course covering programming for data science, statistics, machine learning, big data tools and data visualisation, ending in a substantial project. Leads to roles such as data analyst, data scientist or machine learning engineer; an optional industrial placement year is available.
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Open budget planner →Funding informationThis university has scholarship information recorded.
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.0 overall, no component below 5.5
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at University of Lancashire
International scholarships include an Excellence Scholarship based on prior grades, a Country Scholarship (Group C) listed for Sri Lanka, and a £2,000-per-year Articulation Scholarship for students from partner institutions; the university advertises scholarships and bursaries of up to £5,500 per year.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Data Science
A conversion course covering programming for data science, statistics, machine learning, big data tools and data visualisation, ending in a substantial project. Leads to roles such as data analyst, data scientist or machine learning engineer; an optional industrial placement year is available.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. A placement or professional-experience option is recorded, which can help connect academic learning with workplace practice when available.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Machine learning and intelligent systems
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Applied work such as case studies, workshops, projects or problem-based tasks.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- A placement or professional-experience route is recorded; its length, availability and eligibility should be confirmed for the selected intake.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
8 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Data Concepts, Ethics and GovernancePublished course content
- 02Develop your investigative and analytical skills for effective data managementPublished course content
- 03Computational Maths and StatisticsPublished course content
- 04Machine Learning and Data MiningPublished course content
- 05Programming for the Data ScientistPublished course content
- 06Big Data (Tools and Techniques)Published course content
- 07Data Investigation and VisualisationPublished course content
- 08Master's ProjectPublished course content
Entry requirements
Can I apply?
- Academic
- 2:2 degree; others with relevant experience may be considered after interview
- Sri Lankan qualifications
- 58% in a bachelor's degree from a recognised institution
- English (IELTS)
- 6.0 overall, no component below 5.5
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to University of Lancashire.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
Similar courses at other universities
Course information checked October 2026 from the official course page on lancashire.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Lancashire before you apply. Global Educational Consultants is an independent consultancy.