MSc AI and Data Science

London

 

INTAKE: September

Program Overview

The MSc AI and Data Science program at the University of East London (UEL) is a cutting-edge postgraduate program designed to prepare students for careers in the rapidly evolving fields of artificial intelligence (AI) and data science. 

  1. Program Structure: The MSc AI and Data Science program typically span one year when pursued full-time. It is structured to provide students with a comprehensive understanding of AI and data science principles and applications.

  2. Core Modules: The program includes core modules covering essential topics in AI and data science, such as machine learning, data mining, natural language processing, and computer vision. These modules provide a strong foundation in the field.

  3. Hands-On Learning: Practical hands-on learning is a central component of the program. Students have access to state-of-the-art AI and data science labs where they can apply their knowledge and skills to real-world problems.

  4. Big Data Analysis: The program covers big data analysis techniques and tools, preparing students to work with large and complex datasets commonly encountered in the industry.

  5. AI Algorithms: Students study advanced AI algorithms, including deep learning and reinforcement learning, enabling them to develop AI solutions for diverse applications.

  6. Ethical Considerations: Ethical considerations in AI and data science are emphasized, highlighting the importance of responsible and unbiased data analysis.

  7. Industry-Relevant Skills: UEL's faculty includes experienced AI and data science professionals, ensuring that students gain insights into the latest industry trends and best practices.

  8. Research and Projects: Students have the opportunity to engage in research projects and practical applications of AI and data science, gaining hands-on experience that enhances their employability.

Pollster Education

Location

London

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 15240

Postgraduate Entry Requirements:

  • Academic Qualifications: International students applying for postgraduate programs at UEL should have a minimum of 60% or equivalent in their bachelor's degree or equivalent qualification. Some programs may have specific subject prerequisites or additional requirements, so it is advisable to check the specific entry requirements for the desired course.
  • English Language Proficiency:
    • IELTS: A minimum overall score of 6.5, with no individual component score below 6.
    • TOEFL: A minimum overall score of 60-72, with a minimum score of 12 in each component.
    • PTE: A minimum overall score of 56-64, with no individual score below 50.

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 East London (UEL) is committed to providing financial support to international students through a range of scholarship opportunities. These scholarships are designed to recognize academic excellence, promote diversity, and help deserving students pursue their educational goals.

  1. International Scholarship: UEL offers the International Scholarship to outstanding international students who demonstrate academic excellence. The scholarship provides a reduction in tuition fees and is available for both undergraduate and postgraduate students. The eligibility criteria and application process vary, so interested students are advised to visit the university's official website for detailed information.
  2. Vice-Chancellor's Excellence Scholarship: This prestigious scholarship is awarded to international students who have achieved exceptional academic results. The scholarship covers a portion of the tuition fees and is available for both undergraduate and postgraduate programs. Eligible students are automatically considered for this scholarship upon their application to UEL.
  3. Country-Specific Scholarships: UEL offers scholarships specifically tailored to students from certain countries or regions. These scholarships aim to promote cultural diversity and enhance the international student community at UEL. The eligibility criteria, application process, and scholarship amounts vary depending on the specific scholarship scheme. Interested students can refer to the university's website or contact the International Office for more information.
  4. Alumni Loyalty Discount: UEL values its alumni and offers a loyalty discount to international students who have previously completed a degree program at the university and wish to pursue further studies. The discount provides a reduction in tuition fees and encourages UEL graduates to continue their academic journey at the university.
  5. External Scholarships and Sponsorships: UEL also encourages international students to explore external scholarship opportunities and sponsorships. These scholarships may be offered by governments, organizations, or foundations in students' home countries or other sources. The university's International Office provides support and guidance to help students identify and apply for external scholarships.

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

Graduates of the MSc AI and Data Science program at the University of East London (UEL) are well-prepared for rewarding careers in AI and data science.

  1. Data Scientist: Graduates can work as data scientists, responsible for analyzing and interpreting data to inform business decisions and strategies.

  2. Machine Learning Engineer: Opportunities exist as machine learning engineers who design and implement machine learning algorithms and models.

  3. AI Researcher: Graduates with a research inclination may pursue roles as AI researchers, contributing to advancements in AI technology.

  4. Data Analyst: Data analyst positions are available, where graduates can focus on data visualization, reporting, and data-driven decision-making.

  5. AI Consultant: Some graduates may choose to work as AI consultants, providing expert advice on implementing AI solutions in various industries.

  6. Big Data Specialist: For those interested in big data, roles as big data specialists involve handling and analyzing large datasets efficiently.

  7. AI Project Manager: With experience, graduates can progress to managerial roles, overseeing AI and data science projects within organizations.


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