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  50 to 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 6.0.
  • TOEFL: A minimum overall score of 90.
  • PTE Academic: A minimum overall score of 62 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 entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.

The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.  

1. Academic Excellence Scholarships: The university offers scholarships to outstanding students who demonstrate exceptional academic achievements. These scholarships are typically merit-based and provide financial support towards tuition fees or living expenses.
2. International Scholarships: The University of Essex provides scholarships specifically designed for international students. These scholarships aim to attract and support talented students from around the world. Eligibility criteria and award amounts may vary, and they may cover a portion of tuition fees or provide assistance with living expenses.
3. Subject-specific Scholarships: Some departments and schools within the university offer scholarships tailored to specific academic disciplines. These scholarships are often awarded to students with exceptional academic records or those who demonstrate a strong commitment to their field of study.
4. Access and Participation Scholarships: The university is committed to promoting diversity and inclusion. It offers scholarships and financial support to students from underrepresented backgrounds, including those from low-income families or individuals who are the first in their family to attend university.
5. Government-funded Scholarships: In addition to internal scholarships, the University of Essex provides information and guidance on scholarships and funding opportunities offered by external organizations and government agencies. These scholarships may be available to students based on factors such as nationality, field of study, or research interests.
6. Sports Scholarships: The university recognizes the importance of sports and offers scholarships to talented athletes who demonstrate exceptional sporting abilities. These scholarships provide financial support along with access to sports facilities, training programs, and dedicated support services.

It is important to note that scholarship availability, eligibility criteria, and application processes may change over time. 

Graduates of the MSc Data Science program have diverse and promising career prospects in the field of data science. 

1. Data Analyst: Graduates can work as data analysts, responsible for collecting, analyzing, and interpreting data to extract actionable insights. They may work in various industries, such as finance, healthcare, marketing, and technology.

2. Data Scientist: Graduates can pursue careers as data scientists, applying advanced analytics and machine learning techniques to solve complex business problems. They may work on predictive modeling, recommendation systems, or fraud detection projects.

3. Data Engineer: Graduates can work as data engineers, responsible for designing and managing data infrastructure and systems. They develop data pipelines, ensure data quality, and optimize data storage and retrieval processes.

4. Business Intelligence Analyst: Graduates can work as business intelligence analysts, analyzing organizational data to support strategic decision-making. They develop dashboards, reports, and visualizations to communicate insights effectively.

5. Data Consultant: Graduates can work as data consultants, providing expertise and guidance to organizations on data-driven strategies, data governance, and data management practices. They may work independently or as part of consulting firms.

6. Researcher or Academic: Graduates can pursue research or academic careers, contributing to the advancement of data science through research projects, publications, and teaching positions in universities or research institutions.

7. Data Science Entrepreneur: Graduates with an entrepreneurial mindset can start their own data science consultancy, offering specialized services to businesses or developing data-driven products and solutions.