MSc Data Science

Edinburgh

 

INTAKE: Jan & Sept

Program Overview

The MSc Data Science program at Heriot-Watt University is designed to equip students with the knowledge and skills needed to extract valuable insights from complex data sets. 

  1. Comprehensive Curriculum: The program covers a wide range of topics in data science, including data analysis, machine learning, statistical modeling, data visualization, and big data technologies. Students gain a strong foundation in both theory and practical applications.

  2. Data Analytics Tools and Techniques: Students learn to work with popular data analytics tools and programming languages such as Python, R, SQL, and Hadoop. They acquire hands-on experience in data manipulation, data cleaning, exploratory data analysis, and predictive modeling.

  3. Applied Projects: The program emphasizes practical applications of data science. Students work on real-world projects, collaborating with industry partners or using real datasets, to solve complex problems and gain valuable experience in data-driven decision making.

  4. Data Ethics and Privacy: The program addresses ethical considerations and legal aspects associated with data science. Students learn about data privacy, security, and the responsible use of data, ensuring they develop a strong ethical framework in their data science practices.

  5. Industry Engagement: Heriot-Watt University has strong ties with industry partners, providing students with opportunities to engage with leading organizations. Industry guest lectures, workshops, and networking events enhance students' understanding of real-world applications and foster connections for future career opportunities.

  6. Collaboration with Other Disciplines: Data science is an interdisciplinary field, and the program encourages collaboration with other disciplines such as business, finance, engineering, and healthcare. This interdisciplinary approach enables students to apply data science techniques in diverse domains.

Pollster Education

Location

Edinburgh

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 22264

Postgraduate Entry Requirements:

  • 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 6.0.
    • TOEFL: A minimum overall score of 91, with at least 20 in Listening, Reading, Speaking, and Writing.
    • PTE Academic: A minimum overall score of 64 with no individual score below 58.
  • 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.

Postgraduate Scholarships:

  1. Heriot-Watt Postgraduate Merit Scholarships: These scholarships are awarded to students with a strong academic background who are enrolling in a postgraduate program at the university.
  2. Heriot-Watt Global Scholarships: These scholarships are open to international students and are based on academic merit and potential contribution to the university community.
  3. Heriot-Watt Alumni Scholarships: These scholarships are available to Heriot-Watt graduates who are pursuing further studies at the postgraduate level.
  4. Research Scholarships:Heriot-Watt University provides research scholarships for students interested in pursuing doctoral or research-focused programs. These scholarships are often linked to specific research projects and are awarded based on academic excellence and research potential.

It is important to note that the availability, eligibility criteria, and application deadlines for scholarships may vary each year.Heriot-Watt University offers a range of scholarships to support undergraduate and postgraduate students in their academic journeys. These scholarships recognize excellence, support diversity, and assist students with financial need. Prospective students are encouraged to explore the various scholarship opportunities offered by Heriot-Watt University and apply according to the specific eligibility criteria and application deadlines.

Graduates of the MSc Data Science program from Heriot-Watt University have excellent career prospects in various sectors. 

  1. Data Analyst: Graduates can work as data analysts, responsible for collecting, cleaning, and analyzing data to extract meaningful insights and support decision-making processes in organizations.

  2. Data Scientist: Graduates can pursue careers as data scientists, using advanced analytics and machine learning techniques to develop predictive models, create data-driven solutions, and optimize business processes.

  3. Data Engineer: Graduates can work as data engineers, focusing on the development and maintenance of data infrastructure and systems, ensuring efficient data storage, processing, and retrieval.

  4. Business Intelligence Analyst: Graduates can work as business intelligence analysts, using data analysis to drive strategic decision-making, identify market trends, and improve organizational performance.

  5. Data Consultant: Graduates can become data consultants, providing expertise and guidance to organizations in leveraging data for business growth, implementing data strategies, and optimizing data-driven operations.

  6. Researcher or Academic: Graduates can pursue research or academic careers, contributing to the advancement of data science through innovative research, publishing papers, and teaching data science at universities or research institutions.


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