Your qualification fit
Sri Lankan bachelor's: 60% or CGPA 3.3 treated as a UK 2:1; 55% or CGPA 3.0 as a UK 2:2
Check my qualifications →Newcastle University · Newcastle upon Tyne
MSc Advanced Data Science
An industry-linked master's that teaches how to turn data into decisions and tackle real-world analytical problems. Suited to graduates with a strong quantitative background.
Check your fitMatch your level, budget, intake and preferences.
Use course matcher →Plan the full costTuition pre-filled, with GBP and indicative LKR totals.
Open budget planner →Funding informationThis university has scholarship information recorded.
Explore funding →Sri Lankan student planning
Four checks before you shortlist this course.
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
6.5 overall, 5.5 in all sub-skills
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
Check funding →Beyond the tuition fee
Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.
Calculate my UK budget →Free preliminary check
Could this course fit your profile?
Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.
This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.
Scholarship information
Potential funding at Newcastle University
Vice-Chancellor's International Scholarships: £7,000 tuition fee awards for outstanding UG applicants and £8,000 tuition fee awards for postgraduate master's applicants (September 2027 entry).
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 Advanced Data Science
An industry-linked master's that teaches how to turn data into decisions and tackle real-world analytical problems. Suited to graduates with a strong quantitative background.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
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
- Prepare, analyse and communicate insights from data.
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.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
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.
18 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 Visualisation and Data HandlingPublished course content
- 02Data Science and AI in PracticePublished course content
- 03Machine Learning, Deep Learning with Probabilistic ModellingPublished course content
- 04Graduate Foundations of Data Science and Artificial IntelligencePublished course content
- 05Foundations of Machine Learning with Advanced TopicsPublished course content
- 06Markov Processes with Advanced TopicsPublished course content
- 07Case Study Project (Advanced)Published course content
- 08Individual Project (Advanced) AIPublished course content
- 09Computer Vision and Natural Language ProcessingPublished course content
- 10Reinforcement LearningPublished course content
- 11Delivery and teaching methodsPublished course content
- 12DissertationPublished course content
- 13Oral presentationPublished course content
- 14PosterPublished course content
- 15ReportPublished course content
- 16Additional assessment informationPublished course content
- 17Formative assessmentsPublished course content
- 18Summative assessmentsPublished course content
Entry requirements
Can I apply?
- Academic
- 2:1 BSc Honours degree
- Sri Lankan qualifications
- Sri Lankan bachelor's: 60% or CGPA 3.3 treated as a UK 2:1; 55% or CGPA 3.0 as a UK 2:2
- English (IELTS)
- 6.5 overall, 5.5 in all sub-skills
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Newcastle University.
- 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 ncl.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 Newcastle University before you apply. Global Educational Consultants is an independent consultancy.