MSc Data Analytics

Glasgow-Scotland

 

INTAKE: September

Program Overview

The University of Glasgow offers a Master  in Data Analytics, a program that aims to equip students with the skills necessary to succeed in the rapidly growing field of data analytics. This program is designed to provide students with a comprehensive understanding of the theory and practical application of data analytics techniques, as well as the ability to work with large and complex data sets.

The program is taught by experts in the field, with a focus on developing practical skills that are in high demand in the industry. Students will have the opportunity to work with real-world data sets and apply the latest tools and techniques in data analytics.

The program is offered on a full-time or part-time basis, with both options providing flexibility to students. The full-time program can be completed in one year, while the part-time program is typically completed over two to three years.

Graduates of the program will be well-positioned to pursue a variety of careers in the field of data analytics, including roles such as data analyst, data scientist, business intelligence analyst, and more. They will have the skills and knowledge necessary to work with data from a variety of industries, including healthcare, finance, marketing, and more.

Pollster Education

Location

Glasgow-Scotland

Pollster Education

Score

6.5

Pollster Education

Tuition Fee

£ 29370

  • 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.

  1. 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.
  2. Postgraduate Research Scholarship: This scholarship is available to international students pursuing a research degree and covers the full cost of tuition fees.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Graduates of the MSc in Data Analytics can find job opportunities in a variety of industries, including finance, healthcare, retail, and technology. They may work for large corporations, startups, or government agencies, and may also choose to pursue careers in academia or research.


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