MSc International Business
The MSc International Business program at the University of Glasgow is built around the...
MSc Data Analytics
Glasgow-Scotland
INTAKE: September
Program Overview
The MSc in Data Analytics at the University of Glasgow is designed to equip students with advanced skills in statistical modeling and computational techniques essential for extracting valuable insights from complex data sets. This program addresses the growing demand for professionals adept at making data-driven decisions across various sectors.
Curriculum: The curriculum offers a comprehensive foundation in both theoretical and practical aspects of data analytics. Core courses cover topics such as statistical modeling, data mining, machine learning, and big data technologies. Students also engage in hands-on projects, applying analytical methods to real-world data scenarios, thereby enhancing their problem-solving abilities.
Research Focus: The Statistics Group at the University of Glasgow is internationally renowned for its research excellence, with expertise spanning biostatistics, statistical genetics, environmental statistics, and statistical methodology. This strong research foundation enriches the learning experience, providing students with exposure to cutting-edge developments in data analytics.
Industry Engagement: The MSc Data Analytics program emphasizes practical experience through collaborations with industry partners. Students have opportunities to participate in data-driven projects, internships, and workshops, facilitating the application of theoretical knowledge to industry challenges and enhancing employability.
Global Perspective: Attracting a diverse cohort from around the world, the program fosters a global learning environment. The university's international collaborations and partnerships provide students with a broader perspective on data analytics applications across different cultural and business contexts, preparing them for global career opportunities.
Location
Glasgow-Scotland
Score
6.5
Tuition Fee
£ 33450
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 90, with at least 19 in Listening, 20 in Reading, 19 in Speaking, and 23 in Writing.
- PTE Academic: A minimum overall score of 60 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Glasgow offers a variety of scholarships to both domestic and international students to help support their studies. These scholarships are offered at both the undergraduate and postgraduate levels and are awarded based on merit and financial need.
Postgraduate Taught Excellence Scholarship: This scholarship is available to international students studying a master's program and offers a tuition fee discount of up to £5,000.
Postgraduate Research Scholarship: This scholarship is available to international students pursuing a research degree and covers the full cost of tuition fees.
Sir Fitzroy Maclean Postgraduate Scholarship: This scholarship is available to international students pursuing a postgraduate degree in either the School of Humanities or the School of Social and Political Sciences.
Chancellors Award: This scholarship is available to both domestic and international students studying any discipline at the University of Glasgow and offers a tuition fee discount of up to £10,000.
Glasgow International Leadership Scholarship: This scholarship is available to international students studying any postgraduate program and offers a tuition fee discount of up to £10,000.
Glasgow Refugee, Asylum and Migration Network Scholarship: This scholarship is available to students who have sought refuge in the UK and are studying any undergraduate or postgraduate program.
The University of Glasgow's MSc in Data Analytics is designed to prepare students for a variety of roles in data-driven industries. Graduates of this program will have a strong foundation in data analysis techniques, as well as the ability to work with large data sets, develop algorithms, and apply statistical methods to real-world problems.
Data Analyst- These professionals are responsible for collecting, processing, and performing statistical analyses on large data sets to identify trends and patterns that can be used to improve business operations or inform decision-making.
Data Scientist- Data scientists are responsible for designing and implementing algorithms to extract insights from complex data sets. They use a variety of programming languages and tools to build predictive models and conduct statistical analyses.
Business Intelligence Analyst- Business intelligence analysts are responsible for creating reports and dashboards that provide insights into key business metrics. They work closely with stakeholders to identify business problems and develop data-driven solutions.
Data Engineer-Data engineers design and implement data architectures that support data analytics and machine learning workflows. They are responsible for developing and maintaining data pipelines that extract, transform, and load data from various sources.
Machine Learning Engineer- Machine learning engineers design and implement machine learning algorithms that are used to analyze and make predictions based on large data sets. They work closely with data scientists to develop models that can be used to automate decision-making processes.
