Program start date | Application deadline |
2024-09-01 | - |
Program Overview
The University of Glasgow's Online MSc in Data Analytics equips students with the skills to analyze and interpret large datasets. Delivered through a flexible online format, the program covers topics such as machine learning, data mining, and big data analytics. Graduates are prepared for careers as data scientists, analysts, and other data-driven roles in various industries. The program is accredited by the Royal Statistical Society and offers a blended learning approach with real-world case studies and project-based learning.
Program Outline
Degree Overview
Overview:
The University of Glasgow's Online MSc in Data Analytics is designed to equip students with the skills and knowledge needed to analyze and interpret large datasets. This program is ideal for individuals who want to start or advance careers in data science, and who want the flexibility of online learning.
Objectives:
- To develop students' understanding of the principles of learning from data.
- To provide students with hands-on experience in handling, analyzing, and visualizing data.
- To equip students with the skills to model and analyze potentially complex data.
- To enable graduates to meet the growing demand for data scientists in various industries.
Program Description:
- This online program is delivered through a combination of interactive learning materials, tutor-led videos, and one-on-one sessions with academic staff.
- Students will learn how to use a variety of data analysis tools and programming languages, including R, Python, Spark, and TensorFlow.
- The program culminates in a Dissertation project, where students apply their skills to a real-world data analysis problem.
Outline
Program Content:
The Data Analytics MSc focuses on the following areas:
- Probability and Statistics
- Machine Learning
- Data Mining
- Data Visualization
- Big Data Analytics
- Programming for Data Analysis
Structure:
The program is completed over three years, with two courses taken per trimester in the first two years. The third year is dedicated to a project and Dissertation.
Courses:
- Core courses:
- Advanced Predictive Models
- Data Mining and Machine Learning I: Supervised and Unsupervised Learning
- Learning from Data
- Predictive Modelling
- R Programming
- Data Analytics in Business and Industry
- Data Management and Analytics using SAS
- Data Mining and Machine Learning II: Big Data and Unstructured Data
- Data Programming in Python
- Uncertainty Assessment and Bayesian Computation
- Optional courses:
- Probability and Stochastic Models
- Probability and Sampling Fundamentals
Assessment
Assessment methods in the program include:
- Coursework assignments
- Exams
- Group projects
- Dissertation The criteria used for assessment are based on the learning outcomes of each module.
Teaching
Teaching Methods:
- Online lectures and tutorials
- Interactive learning materials
- Tutor-led videos
- One-on-one sessions with academic staff
- Online discussion forums
Faculty:
The program is taught by a team of experienced academics and industry practitioners with expertise in data analysis.
Unique Approaches:
The program uses a variety of innovative teaching methods to ensure that students have a positive and engaging learning experience. These methods include:
- Blended learning approach: combining online and offline learning activities
- Use of real-world case studies
- Project-based learning
- Access to industry-standard software
Careers
Graduates of the program can pursue a wide range of careers in various sectors, including:
- Data Scientist
- Data Analyst
- Statistician
- Machine Learning Engineer
- Business Intelligence Analyst
- Financial Analyst
- Market Researcher The program also provides students with the skills and knowledge needed to pursue further study at the PhD level.
Other
- The University of Glasgow is a Russell Group university, recognized for its academic excellence.
- The program is accredited by the Royal Statistical Society.
- The program attracts a diverse student body from all over the world, creating a rich learning environment.
- The University offers a variety of scholarships and funding opportunities to support students.
MSc Online Distance Learning: UK / EU / International: £15,000 (total cost) £1667 per 20 credits 60 credits per year over 3 years PgDip Online Distance learning UK / EU / International: £10,000 (total cost) £1,667 per 20 credits 60 credits per year over 2 years PgCert Online Distance learning UK / EU / International: £5,000 (total cost) £1,667 per 20 credits 60 credits per year over 1 year