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 87, with at least 21 in Listening, 21 in Reading, 21 in Speaking, and 23 in Writing.
  • PTE Academic: A minimum overall score of 61 with no individual score below 55.
• 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 York, located in the UK, offers a range of scholarships to support their educational journey. These scholarships aim to recognize academic excellence, encourage cultural diversity, and provide financial assistance to deserving students. 

1. Academic Excellence Scholarships: The University of York offers scholarships based on academic merit to outstanding international students applying for undergraduate or postgraduate programs. The scholarships provide financial support in the form of partial tuition fee reductions.
2. Vice-Chancellor's Scholarships: These prestigious scholarships are awarded to exceptional international students who demonstrate outstanding academic achievements and leadership potential. The scholarships cover full tuition fees and also provide a generous living stipend to support the students' living expenses during their studies.
3. Departmental Scholarships: Many departments within the University of York offer scholarships to international students within specific academic fields. These scholarships may cover partial or full tuition fees and are awarded based on academic excellence and potential within the chosen field.
4. Country-Specific Scholarships: The University of York provides scholarships specifically designed for students from certain countries or regions. These scholarships aim to promote diversity and international collaboration. Examples include the York Graduate Research School Scholarships for students from specific countries or regions.
5. Research Scholarships: International students interested in pursuing research-based programs such as Ph.D. or MPhil have opportunities to apply for research scholarships. These scholarships provide financial support by covering tuition fees and offering a stipend to assist with living expenses. Funding sources for research scholarships include government grants, research councils, and industry partnerships.
6. External Scholarships: The University of York encourages international students to explore external scholarship opportunities provided by governments, organizations, or foundations in their home countries. The university provides guidance and support to students in identifying and applying for these external scholarships.

Graduates of the MSc Data Science program at the University of York are well-prepared for rewarding careers in a wide range of industries.

1. Data Analyst: Graduates can work as data analysts, responsible for collecting, cleaning, and analyzing data to provide insights that drive decision-making within organizations.

2. Machine Learning Engineer: With expertise in machine learning, graduates may choose to specialize in roles that involve designing and implementing machine learning algorithms and models.

3. Data Scientist: As data scientists, graduates can apply their skills to solve complex problems, develop predictive models, and generate actionable insights in various domains such as finance, healthcare, and marketing.

4. Business Intelligence Analyst: Graduates may work as business intelligence analysts, helping organizations make data-driven decisions by providing reports, dashboards, and performance metrics.

5. Research Scientist: For those interested in research, opportunities exist in academia, research institutions, and think tanks, where graduates can contribute to the advancement of data science and related fields.

6. Consultant: Some graduates choose to work as data science consultants, offering their expertise to businesses looking to leverage data for strategic purposes.

7. Ph.D. and Further Research: The program also serves as a solid foundation for students interested in pursuing a Ph.D. in data science or related fields.