MSc Data Analytics with Placement

Postgraduate Entry Requirements:

• Academic Qualifications: International students applying for postgraduate programs at the University of Brighton are required to hold a bachelor's degree or equivalent qualification from a recognized institution. The minimum required percentage may vary depending on the program. Generally, a minimum of 60% or above is expected.
• English Language Proficiency:
  • IELTS: A minimum overall score of 6.5, with no individual component score below 6.
  • TOEFL: A minimum overall score of 85, with a minimum score of 10 in each component.
  • PTE: A minimum overall score of 61, with no individual score below 51.

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.

Scholarships for International Students at the University of Brighton.

1. Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious awards offered to international undergraduate and postgraduate students who demonstrate exceptional academic performance. These scholarships provide a significant reduction in tuition fees and are awarded based on academic merit.
2. International Scholarships: The University of Brighton offers a range of scholarships specifically designed for international students. These scholarships are available for both undergraduate and postgraduate programs and provide financial support towards tuition fees. Eligibility criteria may vary, but they generally consider academic achievement, personal achievements, and contributions to the community.
3. Santander Scholarships: In collaboration with Santander Universities, the University of Brighton offers scholarships to international students. These scholarships aim to support students in pursuing their academic goals and provide financial assistance to cover tuition fees or living expenses.
4. Alumni Scholarships: The University of Brighton offers scholarships exclusively for international students who have previously completed a degree program at the university. These scholarships aim to encourage alumni to continue their education and contribute to their professional development.
5. Country-specific Scholarships: The University of Brighton may offer scholarships specific to certain countries or regions. These scholarships are designed to attract talented students from specific geographic areas and provide them with financial support to pursue their studies at the university.

It is important to note that scholarship availability, eligibility criteria, and application processes may vary from year to year.

Graduates of the MSc Data Analytics with Placement program from the University of Brighton are well-prepared for a wide range of career opportunities in the field of data analytics, data science, and related industries.

1. Data Analyst: Graduates can work as data analysts, responsible for collecting, cleaning, and analyzing data to provide actionable insights for decision-makers.

2. Data Scientist: Many alumni pursue careers as data scientists, utilizing machine learning algorithms and advanced statistical techniques to solve complex problems and make data-driven predictions.

3. Business Analyst: Graduates may choose to work as business analysts, helping organizations make data-informed strategic decisions to improve efficiency and profitability.

4. Data Engineer: Some students opt for roles as data engineers, responsible for designing and maintaining data pipelines and databases to support data analytics efforts.

5. Machine Learning Engineer: Graduates can become machine learning engineers, specializing in the development and deployment of machine learning models for predictive analytics.

6. Big Data Analyst: Many alumni work as big data analysts, focusing on the analysis of large and complex data sets using distributed computing technologies.

7. Consultant: Graduates may explore careers as data analytics consultants, providing expertise to organizations looking to optimize their data strategies and workflows.

8. Data Visualization Specialist: Some students may work as data visualization specialists, creating visually engaging representations of data to communicate insights effectively.