MSc Applied Artificial Intelligence

Birmingham

 

INTAKE: September

Program Overview

The MSc Applied Artificial Intelligence program at Aston University is designed to provide students with a comprehensive understanding of AI technologies, applications, and their real-world implications. The program blends theoretical knowledge with hands-on practical experience, ensuring graduates are well-equipped to address complex challenges in diverse industries.

  1. Foundational Concepts: Students delve into the fundamental principles of artificial intelligence, machine learning, deep learning, and data analysis.

  2. Advanced Algorithms: The program explores advanced AI algorithms, enabling students to design, implement, and optimize machine learning models.

  3. Data Analytics: Students acquire skills in data collection, preprocessing, and analysis, extracting valuable insights from large datasets.

  4. Ethics and Responsible AI: The ethical considerations surrounding AI development and deployment are discussed, emphasizing responsible practices.

  5. Real-world Applications: The program focuses on applying AI techniques to solve real-world problems across industries such as healthcare, finance, and manufacturing.

  6. Practical Experience: Students engage in hands-on projects and practical exercises, enhancing their ability to develop AI solutions.

  7. Collaborative Learning: Collaborative projects foster teamwork, critical thinking, and effective communication skills among students.

  8. Research and Innovation: Students have the opportunity to contribute to cutting-edge AI research, expanding the frontiers of knowledge.

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 Applied Artificial Intelligence program from Aston University are well-positioned for a range of exciting and rewarding career paths.

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

  2. Data Scientist: Graduates can pursue roles as data scientists, analyzing and interpreting data to derive actionable insights.

  3. Machine Learning Specialist: Graduates can specialize in machine learning, developing algorithms that allow systems to learn from data.

  4. AI Consultant: Graduates can provide consulting services, guiding organizations in integrating AI technologies for strategic advantage.

  5. Researcher: Graduates can contribute to AI research in academia or industry, driving innovation and advancing the field.

  6. Innovation Manager: Graduates can lead innovation efforts, identifying opportunities to integrate AI into various domains.

  7. Entrepreneur: Graduates with an entrepreneurial spirit can establish AI-related startups, bringing novel solutions to market.

  8. AI Ethics Officer: Graduates can focus on ethical considerations in AI, ensuring responsible and ethical AI development and deployment.


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