MSc Data Science

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 90, with at least 19 in Listening, 20 in Reading, 22 in Speaking, and 20 in Writing.
  • PTE Academic: A minimum overall score of 70 with no individual score below 65.
• 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

Newcastle University in the UK offers a range of scholarships to international students, providing them with financial support to pursue their studies. These scholarships aim to attract talented and academically outstanding students from around the world.  

1. Vice-Chancellor's International Scholarships: These scholarships are highly competitive and are awarded to exceptional international students who have demonstrated academic excellence. The scholarships cover a partial tuition fee reduction.
2. International Family Discounts: Newcastle University offers a family discount scheme where siblings or married couples who are both studying at the university can receive a tuition fee reduction.
3. GREAT Scholarships: Newcastle University participates in the GREAT Scholarships program, which is a joint initiative by the British Council and UK universities. These scholarships are available for students from specific countries and cover full or partial tuition fees.
4. Chevening Scholarships: Newcastle University is a Chevening Partner, and eligible students can apply for the prestigious Chevening Scholarships, which are funded by the UK government. These scholarships cover tuition fees, living expenses, and other allowances.
5. Country-specific Scholarships: Newcastle University offers a range of scholarships specifically for students from certain countries. These scholarships may be based on academic merit, financial need, or specific criteria defined by the funding organization.
6. Research Scholarships: Newcastle University offers research scholarships for international students undertaking a Ph.D. or research-based master's degree. These scholarships often include a stipend to cover living expenses in addition to tuition fee support.
7. Postgraduate Scholarships: Newcastle University provides various scholarships for international students pursuing postgraduate studies. These scholarships may be discipline-specific or open to students from any field of study.

Upon completing the MSc Data Science program at Newcastle University, graduates can pursue a range of exciting career opportunities.

1. Data Scientist: Graduates can work as data scientists, analyzing and interpreting data to drive informed decision-making in various industries.

2. Machine Learning Engineer: Graduates can specialize in machine learning, developing algorithms and models to create predictive and analytical solutions.

3. Business Analyst: Graduates may work as business analysts, utilizing data-driven insights to optimize business strategies and operations.

4. Data Engineer: Graduates can become data engineers, responsible for designing, building, and maintaining data pipelines and storage systems.

5. Research Scientist: Graduates can contribute to research institutions, academia, and think tanks, exploring new avenues in data science research.