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 55% 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.
  • PTE Academic: A minimum overall score of 54 with no individual score below 51.
• 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 to a specific program. Some courses may have additional requirements, such as a portfolio or an interview, and competition for certain programs may be high.

Leeds Beckett University offers various scholarships and financial support options to eligible students. These scholarships aim to recognize academic excellence, support talented individuals, and provide opportunities for students who may face financial constraints.

1. Vice Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional students who have demonstrated outstanding academic achievements and personal accomplishments. It provides a partial tuition fee waiver for the duration of the program.
2. Academic Excellence Scholarship: This scholarship is available to international students who have demonstrated exceptional academic performance. It offers a partial tuition fee reduction for the first year of study.
3. Sports Scholarships: Leeds Beckett University offers sports scholarships to talented athletes who compete at a regional, national, or international level. These scholarships provide financial support, access to sports facilities, and mentoring programs.
4. Carnegie School of Sport Elite Athlete Scheme: This scheme supports elite athletes who are studying at Leeds Beckett University. It offers tailored support, flexible study arrangements, and access to world-class sports facilities.
5. Care Leaver and Estranged Student Scholarships: Leeds Beckett University provides additional support for students who have experienced care or are estranged from their families. These scholarships offer financial assistance and dedicated support services.
6. Subject-Specific Scholarships: Some academic schools within Leeds Beckett University may offer subject-specific scholarships for outstanding students in certain disciplines. These scholarships may vary in terms of eligibility criteria and benefits.

The MSc Data Science program at Leeds Beckett University opens doors to a wide range of exciting career opportunities in the field of data science and analytics. 

1. Data Scientist: Graduates can pursue roles as data scientists, leveraging their skills to analyze data, build predictive models, and drive data-driven decision-making.

2. Machine Learning Engineer: Opportunities exist as machine learning engineers, specializing in the development and deployment of machine learning algorithms.

3. Data Analyst: Graduates may work as data analysts, responsible for collecting, cleaning, and analyzing data to extract insights and inform business strategies.

4. Business Intelligence Analyst: Careers in business intelligence involve using data to support strategic decision-making and optimize business operations.

5. Data Engineer: Graduates can become data engineers, responsible for building and maintaining data pipelines and infrastructure.

6. Data Consultant: Opportunities exist as data consultants, providing expertise to organizations seeking to enhance their data capabilities.

7. AI Researcher: Graduates interested in research may pursue roles as AI researchers, contributing to advancements in artificial intelligence.

8. Data Privacy Officer: Graduates may work as data privacy officers, ensuring that organizations comply with data protection regulations and safeguard data.

9. Quantitative Analyst: Careers as quantitative analysts involve applying mathematical and statistical techniques to financial and risk analysis.

10. Further Study: The program also serves as a strong foundation for those interested in pursuing further study, including doctoral degrees in data science and related fields.