MSc Applied Artificial Intelligence (including Professional Practice)

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 and their real-world applications. The program integrates theoretical knowledge with practical skills, preparing students to solve complex challenges in various industries. 

  1. Foundations of AI: Students gain a strong foundation in AI concepts, including machine learning, deep learning, natural language processing, and computer vision.

  2. Programming and Data Analysis: The program emphasizes programming skills in languages like Python, along with data analysis techniques to extract insights from large datasets.

  3. Machine Learning Algorithms: Students delve into the intricacies of machine learning algorithms, learning how to train models, optimize performance, and make predictions.

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

  5. Practical Applications: The program focuses on applying AI to various industries, such as finance, healthcare, manufacturing, and more.

  6. Professional Practice: The inclusion of professional practice allows students to apply their AI skills in a real-world setting, gaining hands-on experience and enhancing their employability.

  7. Research and Innovation: Students are encouraged to engage in research projects, contributing to the advancement of AI knowledge and technologies.

  8. Collaborative Projects: Collaborative projects mirror real industry scenarios, fostering teamwork and problem-solving skills.

Pollster Education

Location

Birmingham

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 23200

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-prepared for a range of rewarding and impactful career opportunities.

  1. AI Engineer: Graduates can work as AI engineers, developing and implementing AI solutions for businesses and industries.

  2. Data Scientist: Graduates can pursue roles as data scientists, analyzing large datasets to extract meaningful insights and drive informed decisions.

  3. Machine Learning Specialist: Graduates can specialize in machine learning, creating models that enable systems to learn and improve from experience.

  4. AI Consultant: Graduates can provide consulting services to organizations seeking to integrate AI technologies into their operations.

  5. Researcher: Graduates can pursue research roles in academia or industry, contributing to the ongoing advancement of AI knowledge and technologies.

  6. AI Ethics Officer: Graduates can focus on ethical considerations related to AI, ensuring responsible and ethical AI development and use.

  7. Innovation Manager: Graduates can drive innovation within organizations by identifying opportunities for AI integration and enhancement.

  8. Entrepreneur: Graduates with an entrepreneurial spirit can establish AI-related startups, offering innovative solutions to industry challenges.


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