MSc Applied Data Science

Postgraduate Entry Requirements:

Academic Qualifications: The minimum entry requirement is typically a bachelor's degree or equivalent qualification with a minimum overall average of 60% or above. The specific entry requirements may vary depending on the desired postgraduate course.  

English Language Proficiency:

• IELTS: An overall score of 6.5, with no individual component score below 6.0.
• TOEFL:  An overall score of 79 with minimum 12 in each section.
• PTE :  An overall score of 59 with minimum 59.

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 Buckingham is dedicated towards providing financial support to international students through a variety of scholarships and bursaries. These scholarships are designed to recognize academic excellence, encourage diversity, and assist students in pursuing their higher education goals.

1. Vice-Chancellor's Scholarship: This is the most prestigious scholarship offered by the university. It provides a substantial tuition fee reduction to high-achieving international students who demonstrate outstanding academic achievements and potential. The scholarship is awarded based on academic merit and applicants are automatically considered during the admissions process.
2. International Law Scholarship: This scholarship is specifically designed for international students applying to the LLB (Hons) in Law program. It provides a significant reduction in tuition fees for the duration of the program. Applicants are assessed based on their academic achievements and potential in the field of law.
3. Merit Scholarships: The university offers merit scholarships to international students who have demonstrated exceptional academic performance. These scholarships provide a reduction in tuition fees and are awarded based on academic achievements and potential.
4. Sports Scholarships: The University of Buckingham recognizes the importance of sports and offers scholarships to talented international athletes who wish to pursue their academic and sporting aspirations simultaneously. These scholarships provide financial support to cover a portion of tuition fees and offer additional support for training and competition.
5. Country-Specific Scholarships: The university offers scholarships specifically tailored to students from certain countries or regions. These scholarships aim to promote diversity and cultural exchange. Eligibility criteria, application requirements, and the value of the scholarships may vary depending on the country-specific scholarship.
6. Alumni Scholarships: The university values its alumni community and offers scholarships to children of University of Buckingham alumni who choose to study at the university. These scholarships provide a reduction in tuition fees and encourage the continuation of the university's legacy.

It is important to note that the availability, eligibility criteria, and application deadlines for scholarships may vary each year.

Graduates of the MSc Applied Data Science program from the University of Buckingham are well-equipped to pursue a range of dynamic career opportunities in the data science and analytics field.

1. Data Scientist: Graduates can work as data scientists, analyzing data to provide actionable insights and predictive models for organizations.

2. Business Analyst: With strong analytical skills, graduates can work as business analysts, helping companies make informed decisions based on data.

3. Data Analyst: Graduates can specialize as data analysts, working on data cleaning, transformation, and visualization to support decision-making.

4. Machine Learning Engineer: For those interested in machine learning, this role involves creating and implementing machine learning models for various applications.

5. Big Data Analyst: Graduates can work with big data, analyzing large datasets to extract meaningful patterns and trends.

6. Data Engineer: Data engineers design and manage data pipelines, ensuring data availability and reliability for analysis.

7. Research Scientist: Graduates inclined towards research can pursue roles in academia or research institutions, contributing to data science advancements.

8. Consultant: With expertise in data science, graduates can provide consultancy services to organizations seeking data-driven solutions.