MSc in Statistics with Data Analytics

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 to 75% 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 20 in Listening, 20 in Reading, 20 in Speaking, and 20 in Writing.
  • PTE Academic: A minimum overall score of 59 with no individual score below 59.
• 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.

Brunel University London offers a range of scholarship programs designed to support deserving students throughout their academic journey. These scholarships are awarded based on various criteria, including academic achievement, extracurricular involvement, leadership potential, and financial need. The university strives to provide opportunities for exceptional students to excel and contribute to their chosen fields.

1. Merit-Based Scholarships: Brunel University London offers merit-based scholarships to recognize and reward academic excellence. These scholarships are available to both undergraduate and postgraduate students who have demonstrated exceptional academic achievements in their previous studies. By offering merit-based scholarships, the university aims to attract the brightest minds and provide them with the necessary support to pursue their educational goals.
2. Subject-Specific Scholarships: Brunel University London also offers subject-specific scholarships to students enrolled in certain academic disciplines. These scholarships are tailored to support students studying in fields that align with the university's areas of expertise, such as engineering, business, law, arts, social sciences, health, and environmental sciences. Subject-specific scholarships encourage students to excel in their chosen fields and contribute to advancements in their respective disciplines.
3. International Scholarships: To promote diversity and internationalization, Brunel University London provides scholarships specifically designed for international students. These scholarships help alleviate financial barriers and make education more accessible to talented students from around the world. International scholarships are offered based on criteria such as academic achievement, leadership potential, and cultural diversity, ensuring that deserving international students have the opportunity to study at Brunel University London.
4. Access and Widening Participation Scholarships: Brunel University London is committed to widening access to higher education. To support students from disadvantaged backgrounds and underrepresented groups, the university offers access and widening participation scholarships. These scholarships aim to remove financial barriers and provide support to students who may face additional challenges in accessing higher education. Through these scholarships, Brunel University London strives to create a diverse and inclusive learning environment.

Brunel University London offers a range of scholarships to support academic excellence, promote diversity, and ensure access to education for students from various backgrounds. The university's scholarship programs recognize and reward outstanding achievements, provide support in subject-specific areas, encourage international students to pursue their educational goals, and widen access to higher education. Through these scholarships, Brunel University London demonstrates its commitment to fostering talent, promoting inclusivity, and supporting students in their educational endeavors.

Graduates of the MSc in Statistics with Data Analytics program have a wide range of career prospects in various sectors. 

1. Data Analyst: Graduates can work as data analysts, applying their statistical and data analytics skills to analyze and interpret large datasets. They may work in sectors such as finance, marketing, healthcare, or government, helping organizations make data-driven decisions.

2. Statistical Consultant: Graduates can work as statistical consultants, providing expertise and guidance to organizations in the design and analysis of experiments, surveys, or clinical trials. They may offer statistical advice and assist in modeling and forecasting.

3. Data Scientist: Graduates can pursue careers as data scientists, utilizing their statistical and programming skills to extract insights and develop predictive models. They may work on machine learning projects, develop algorithms, and contribute to data-driven innovation.

4. Market Research Analyst: Graduates can work in market research roles, collecting and analyzing data to understand consumer behavior, market trends, and business opportunities. They may conduct surveys, perform statistical analysis, and provide actionable insights to guide marketing strategies.

5. Researcher: Graduates can work as researchers in academic institutions, research centers, or private organizations. They may contribute to research studies in statistical methodology, data analysis, or specific application areas, advancing the field's knowledge and practices.

6. Teaching and Academia: Graduates with a passion for teaching and academia can pursue further studies or teaching positions in higher education institutions. They may work as lecturers, researchers, or professors, imparting statistical knowledge and conducting research.