MSc Artificial Intelligence

Birmingham

 

INTAKE: September

Program Overview

The MSc Artificial Intelligence program at Aston University is designed to provide students with a comprehensive and in-depth understanding of artificial intelligence, its applications, and its impact on various industries. The program is structured to blend theoretical knowledge with practical skills, ensuring graduates are well-prepared to address the complex challenges and opportunities presented by AI.

  1. Foundations of AI: Students gain a solid grounding in the fundamental concepts, theories, and principles of artificial intelligence.

  2. Machine Learning: The program explores machine learning techniques, algorithms, and models used to enable computers to learn from data.

  3. Natural Language Processing: Students delve into the fascinating field of natural language processing, focusing on understanding and processing human language by machines.

  4. Computer Vision: The program covers computer vision techniques, allowing students to develop systems that interpret and understand visual information.

  5. Ethical AI: The ethical considerations of AI are discussed, ensuring students understand the importance of responsible AI development and deployment.

  6. AI Applications: Students explore real-world applications of AI in various sectors such as healthcare, finance, manufacturing, and more.

  7. Practical Skills: Hands-on projects and assignments enable students to apply AI techniques, develop models, and gain practical experience.

  8. Research Opportunities: Students have the chance to engage in cutting-edge AI research, contributing to advancements in the field.

Pollster Education

Location

Birmingham

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 20700

Postgraduate Entry Requirements:

  1. Academic Qualifications: International students applying for postgraduate programs at Aston University are generally required to have achieved a minimum overall percentage of 60% or above in their undergraduate degree or equivalent qualification. However, specific entry requirements may vary depending on the chosen course of study. 

  2. English Language Proficiency: 

  • IELTS: An overall score of 6.5 or higher with no individual band below 6.0.
  • TOEFL: The overall score 93 with minimum score of 18 in each component is required.
  • PTE: The overall score 67 with minimum 59 is required.

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.

Aston University offers a range of scholarships and financial support to both domestic and international students. These scholarships are designed to recognize academic excellence, support talented students, and promote diversity and inclusion. 

  1. Aston Business School Scholarships: Aston Business School offers a range of scholarships for undergraduate and postgraduate students pursuing business-related programs. These scholarships are based on academic merit, leadership potential, and other criteria.
  2. International Ambassador Scholarship: This scholarship is specifically for international students and is awarded based on academic merit and contribution to the Aston community. It provides a tuition fee reduction of up to £3,000 for the first year of study.

Graduates of the MSc Artificial Intelligence program from Aston University are well-prepared for a diverse range of career opportunities in the field of AI.

  1. AI Engineer: Graduates can work as AI engineers, designing and implementing AI solutions for business challenges.

  2. Machine Learning Specialist: Graduates can specialize in machine learning, developing algorithms and models to enable machine learning systems.

  3. Data Scientist: Graduates can pursue roles as data scientists, analyzing data to derive insights and make data-driven decisions.

  4. Natural Language Processing Specialist: Graduates can focus on developing systems that process and understand human language.

  5. Computer Vision Expert: Graduates can specialize in computer vision, developing systems that interpret and analyze visual data.

  6. AI Researcher: Graduates can contribute to AI research, pushing the boundaries of knowledge and innovation.

  7. AI Consultant: Graduates can offer consulting services to organizations looking to integrate AI into their operations.

  8. AI Ethics Officer: Graduates can play a crucial role in ensuring that AI technologies are developed and used ethically and responsibly.


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