Online MSc Data Analytics
Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in data science methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects.
The programme will be delivered via online distance learning, consisting of reading materials, tutor-led videos and live sessions.
Online Distance Learning
This programme is designed to be studied part-time and entirely online. It’s catered towards students to balance study with work and life commitments.
Students typically complete two courses per semester, and we have three semesters per year (beginning September, January and April). Each semester lasts for around 11-12 weeks.
With help and support from our team, students are expected to take control of their own learning with all materials designed to be studied asynchronously at a time that suits you.
What you can expect as an online distance learner
Learning material
Weekly learning material will be released to you at the beginning of each week. This includes pre-recorded videos with lecturers, worked examples and additional tasks. Some courses may release materials a week or so in advance so that you can work ahead and plan your studies around your working schedule.
Peer and lecturer support
Live sessions for each course will be arranged by the course lecturer. These sessions are used to work through problems and for you to raise any questions you may have. Most sessions will be recorded and made available to view afterwards. Students are strongly encouraged to attend all live sessions where possible.
Given the nature of the programme, we cannot guarantee that all live session times will be at a time that suits your schedule. Course lecturers can offer one-to-one appointments with students if you have any specific questions.
All courses have shared forums that you can raise any questions to. Sharing questions with peers can help other students on the programme too!
Assessment and deadline
All courses are assessed throughout the semester via continuous assessment. This means you can expect to complete an assessment every few weeks. These range from small online quizzes to larger projects, all with time-limited deadlines that require engagement and time management.
While you will not be expected to travel to Glasgow, or anywhere else, to complete an assessment, some courses require you to be available on specific days. More information will be available to you are the start of each semester.
More information about online learning at Glasgow can be found on the Glasgow Online microsite.
Student Testimonials
Our students come from all over the world, bringing a rich mixture of personal experiences, cultural backgrounds and a strong sense of internationalism to our student community.
Here is what some of our graduates said about the programme.
Online Data Analytics course review
Information Sessions
We run regular online information sessions for prospective students to find out more about the programme and ask questions.
Register for an information session.
You can also view recordings of recent information sessions on YouTube.
Courses
Here are a list of courses available on the programme.
We also offer some of these courses as standalone CPD options.
Probability and Applied Statistics (sample material)
- Learning from Data
- Predictive Modelling
- Advanced Predictive Models
- Uncertainty Assessment and Bayesian Computation
- Probability and Stochastic Models
- Probability and Sampling Fundamentals
Machine Learning (sample material)
- Data Mining and Machine Learning I: Supervised and Unsupervised Learning
- Data Mining and Machine Learning II: Big and Unstructured Data
- Large-Scale Computing for Data Analytics
Programming (sample material)
- R Programming
- Data Programming in Python
- Large-Scale Computing for Data Analytics
- Data Management and Analytics using SAS
Business and Industry (sample material)
Dissertation
Software
You will be working with state-of-the-art software in data analytics, including:
Additionally, our live sessions will be held as a Zoom meeting, so you should have access to this software.
Speak with a member of the Team
Please click the link below to book an appointment with a member of the academic team to discuss this programme.
If you have any questions specifically about the application process or entry requirements, please direct your question to the admissions team - https://www.gla.ac.uk/study/enquire.
If the times provided do not suit you, then please contact us at maths-stats-analyticsmsc-management@glasgow.ac.uk to arrange an alternative time.