Whether you are looking to start a career in data science or wanting to further develop your current career, our innovative online Masters programme in Data Analytics provides you with vital data science skills. This skills-based, yet rigorous curriculum provides you both with a thorough foundation in the underlying principles of learning from data and practical technical expertise in data handling, visualisation and modelling. The programme uses cutting-edge learning technology to deliver an interactive and collaborative online learning experience. Community building and collaborative learning is a key focus of our online delivery and you will be encouraged and supported to interact with your fellow classmates and tutors in a variety of ways throughout the duration of the course.
- Online distance learning
- Contact: Charalampos Chanialidis: firstname.lastname@example.org
- September start
- MSc: 36 months part-time
- PgDip: 24 months part-time
- PgCert: 12 months part-time
Why this programme
- Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.
- The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
- Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
- You will obtain an MSc degree from a world renowned university while being in full-time employment (around 10 hours of study per week).
- You can personalise your learning by having the freedom to work at your own pace.
- You can take advantage of rich interactive reading material, tutor-led videos and computer-led programming sessions.
This flexible part-time programme is completed over three years. In the first two years you will be taking two courses each trimester. In the third year you will be working on a project and dissertation. Faster routes are available for those applying to the PgDip or MSc.
The courses are designed to allow you to work at your own pace, with milestones and assessment to be completed according to an agreed timetable.
- Probability and Stochastic Models
- Learning from Data
- Predictive Models
- R Programming
- Data Programming in Python
- Data Management and Analytics using SAS
- Advanced Predictive Models
- Data Mining and Machine Learning I: Supervised and Unsupervised Learning
- Data Mining and Machine Learning II: Big and Unstructured Data
- Uncertainty Assessment and Bayesian Computation
- High-performance Computing for Data Analytics
- Data Analytics in Business and Industry
You will also carry out a 60 credit research project.
In the first year of the programme you will need to take three paper-based examinations, held on the second Monday of May and the following Tuesday. UK-based students will have to take these examinations in Glasgow. Students from abroad can choose to either travel to Glasgow or take the examination in a local test centre, such as British Council offices. Test centres are subject to approval by the University and the candidate is responsible for any local fees charged by the test centre.
Programme alteration or discontinuation
The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.
Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.
Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.
Fees and funding
Tuition fees for 2019-20
Online distance learning
- Home / EU / International: £1,667 per 20 credits
- 60 credits per year over 3 years
Online Distance learning
- Home/EU/International: £1,667 per 20 credits
- 60 credits per year over 2 years
Online Distance learning
- Home/EU/International: £1,667 per 20 credits
- 60 credits per year over 1 year
Fee information is subject to change and is for guidance only
- Fee for re-assessment of a dissertation (PGT programme): £360
- Submission of thesis after deadline lapsed: £320
- Registration/exam only fee: £150
A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who only have the equivalent of A-Level Mathematics can also be admitted to the programme. However such candidates are required to work through self-study material provided and complete a pre-sessional course in Elementary Mathematics (scheduled in the two weeks preceding the start of the teaching period of semester 1).
Previous study of Statistics or Computing Science is not required.
Faster routes are available for those applying to the PGDip or MSc. Please contact Charalampos Chanialidis for more information: email@example.com
English language requirements
For applicants whose first language is not English, the University sets a minimum English Language proficiency level.
International English Language Testing System (IELTS) Academic module (not General Training)
- overall score 6.5
- no sub-test less than 6.0
- or equivalent scores in another recognised qualification:
Common equivalent English language qualifications
All stated English tests are acceptable for admission for both home/EU and international students for this programme:
- ibTOEFL: 90; no sub-test less than:
- Reading: 20
- Listening: 19
- Speaking: 19
- Writing: 23
- CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169
- CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169
- PTE Academic (Pearson Test of English, Academic test): 60; no sub-test less than 59
- Trinity College London Integrated Skills in English: ISEII at Distinction with Distinction in all sub-tests
For international students, the Home Office has confirmed that the University can choose to use these tests to make its own assessment of English language ability for visa applications to degree level programmes. The University is also able to accept an IELTS test (Academic module) from any of the 1000 IELTS test centres from around the world and we do not require a specific UKVI IELTS test for degree level programmes. We therefore still accept any of the English tests listed for admission to this programme.
The University of Glasgow accepts evidence of the required language level from the English for Academic Study Unit Pre-sessional courses. We also consider other BALEAP accredited pre-sessional courses:
- School of Modern Languages and Cultures: English for Academic Study
- BALEAP guide to accredited courses
What do I do if...
my language qualifications are below the requirements?
The University's English for Academic Study Unit offers a range of Pre-Sessional Courses to bring you up to entry level. The course is accredited by BALEAP, the UK professional association for academic English teaching; see Links.
my language qualifications are not listed here?
Please contact the Recruitment and International Office: firstname.lastname@example.org
For further information about English language requirements, please contact the Recruitment and International Office: email@example.com
How to apply
To apply for a postgraduate taught degree you must apply online. We cannot accept applications any other way.
Please check you meet the Entry requirements for this programme before you begin your application.
As part of your online application, you also need to submit the following supporting documents:
- A copy (or copies) of your official degree certificate(s) (if you have already completed your degree)
- A copy (or copies) of your official academic transcript(s), showing full details of subjects studied and grades/marks obtained
- Official English translations of the certificate(s) and transcript(s)
- One reference letter on headed paper
- Evidence of your English Language ability (if your first language is not English)
- Any additional documents required for this programme (see Entry requirements for this programme)
- A copy of the photo page of your passport (Non-EU students only)
You have 42 days to submit your application once you begin the process.
You may save and return to your application as many times as you wish to update information, complete sections or upload supporting documents such as your final transcript or your language test.
For more information about submitting documents or other topics related to applying to a postgraduate taught programme, check Frequently Asked Questions
Guidance notes for using the online application
These notes are intended to help you complete the online application form accurately; they are also available within the help section of the online application form.
If you experience any difficulties accessing the online application then you should visit the Application Troubleshooting/FAQs page.
- Name and Date of birth: must appear exactly as they do on your passport. Please take time to check the spelling and lay-out.
- Contact Details: Correspondence address. All contact relevant to your application will be sent to this address including the offer letter(s). If your address changes, please contact us as soon as possible.
- Choice of course: Please select carefully the course you want to study. As your application will be sent to the admissions committee for each course you select it is important to consider at this stage why you are interested in the course and that it is reflected in your application.
- Proposed date of entry: Please state your preferred start date including the month and the year. Taught masters degrees tend to begin in September. Research degrees may start in any month.
- Education and Qualifications: Please complete this section as fully as possible indicating any relevant Higher Education qualifications starting with the most recent. Complete the name of the Institution (s) as it appears on the degree certificate or transcript.
- English Language Proficiency: Please state the date of any English language test taken (or to be taken) and the award date (or expected award date if known).
- Employment and Experience: Please complete this section as fully as possible with all employments relevant to your course. Additional details may be attached in your personal statement/proposal where appropriate.
Reference: Please provide one reference. This should typically be an academic reference but in cases where this is not possible then a reference from a current employer may be accepted instead. Certain programmes, such as the MBA programme, may also accept an employer reference. If you already have a copy of a reference on letter headed paper then please upload this to your application. If you do not already have a reference to upload then please enter your referee’s name and contact details on the online application and we will contact your referee directly.
Please note that applications for programmes delivered online will be accepted up until they commence in September 2019.Apply now