MSc Artificial Intelligence

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 Artificial Intelligence program have promising career prospects in the rapidly expanding field of AI. 

1. AI Engineer: Graduates can work as AI engineers, responsible for designing, developing, and implementing AI systems and algorithms. They develop machine learning models, optimize AI algorithms, and apply AI techniques to solve complex problems.

2. Data Scientist: Graduates can pursue careers as data scientists, analyzing large datasets, extracting insights, and developing predictive models using AI techniques. They work on data-driven projects and help organizations make data-informed decisions.

3. AI Researcher: Graduates can engage in research and development roles, working as AI researchers in academic institutions or research organizations. They contribute to cutting-edge AI research, explore new algorithms, and develop innovative AI solutions.

4. AI Consultant: Graduates can work as AI consultants, providing advisory services to organizations on AI strategy, implementation, and integration. They assess client needs, identify AI opportunities, and help organizations leverage AI technologies for business growth.

5. AI Product Manager: Graduates can pursue roles as AI product managers, overseeing the development and deployment of AI products and services. They identify market trends, define product requirements, and collaborate with cross-functional teams to deliver AI-driven solutions.

6. AI Ethics Specialist: Graduates can specialize in AI ethics, working on ensuring the responsible and ethical use of AI technologies. They address ethical considerations, develop guidelines, and contribute to the development of AI governance frameworks.

7. Entrepreneurship: Graduates can explore entrepreneurial opportunities in AI by starting their own AI-focused startups. They can develop AI-driven products, offer AI consulting services, or innovate in AI applications for specific industries.