MSc Artificial Intelligence

London

 

INTAKE: Jan, May & Sept

Program Overview

The MSc Artificial Intelligence program at the University of East London (UEL) is a cutting-edge postgraduate course designed to equip students with the skills and knowledge required to excel in the rapidly advancing field of artificial intelligence. 

  1. Program Structure: The MSc Artificial Intelligence program typically spans one year of full-time study or two years part-time. It provides a comprehensive understanding of artificial intelligence (AI) and its diverse applications.

  2. Core Modules: The program consists of core modules covering essential aspects of AI, including machine learning, deep learning, natural language processing, computer vision, and robotics. These modules build a strong foundational knowledge of AI technologies.

  3. Hands-On Learning: Students engage in practical hands-on learning experiences, working with state-of-the-art AI tools, programming languages (such as Python), and frameworks. This practical approach enhances their ability to apply AI techniques.

  4. Cutting-Edge Technologies: The program exposes students to the latest advancements in AI, including neural networks, reinforcement learning, and AI ethics. This ensures that graduates are up-to-date with the rapidly evolving AI landscape.

  5. Real-World Projects: Many MSc programs in AI incorporate real-world projects or case studies. These projects allow students to apply AI techniques to practical scenarios and industry challenges, fostering problem-solving skills.

  6. Ethical AI: An ethical dimension is integrated into the curriculum, emphasizing responsible AI development, fairness, transparency, and ethical considerations in AI applications.

  7. Research Opportunities: Some programs offer students the chance to engage in AI research, either through a dissertation or research projects, enabling them to explore specific areas of AI in depth.

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 Artificial Intelligence program at the University of East London (UEL) are well-prepared for a wide range of career opportunities in the dynamic field of AI. 

  1. Machine Learning Engineer: Graduates can pursue roles as machine learning engineers, specializing in the development and deployment of machine learning models and algorithms.

  2. Data Scientist: Opportunities exist in data science positions, where graduates can analyze large datasets, extract insights, and contribute to data-driven decision-making.

  3. AI Researcher: Graduates interested in research can explore AI research positions in academia or industry, contributing to advancements in AI technologies.

  4. AI Developer: Graduates may work as AI developers, creating AI-powered applications and solutions for various industries, such as healthcare, finance, and autonomous systems.

  5. AI Consultant: Some graduates choose roles as AI consultants, helping businesses leverage AI to solve complex problems, optimize processes, and drive innovation.

  6. Computer Vision Engineer: For those interested in computer vision, careers as computer vision engineers involve developing algorithms for image and video analysis.

  7. AI Ethics Specialist: As ethical AI becomes increasingly important, graduates can specialize in AI ethics and work to ensure responsible AI development and deployment.


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