Master of Artificial Intelligence

The Master of AI Dual Qualifications program consists of 6 modules and a Master’s Capstone Projects, totaling 180 UK credits, lasting a minimum of 1.5 years.

Mandatory modules:

• Introduction to Artificial Intelligence (20 UK Credits)
• Artificial Intelligence and Sustainability (20 UK Credits)
• Ethics, Fairness and Explanation in Artificial Intelligence (20 UK Credits)
• Deep Learning (20 UK Credits)
• Intelligent Agents (20 UK Credits)
• Research Methods (20 UK Credits)

After each module, learners will take an ending exam. The end-of-module exams are application-oriented essays to help learners review knowledge, apply knowledge in the workplace, and improve the practical environment.

Master’s Capstone Projects Stage (60 UK credits):

• Dissertation/ Capstone Projects/ Work-based Project
• Defend Dissertation/ Capstone Projects/ Work-based Project

Equipment requirements

This qualification is designed to provide learners with a deep understanding of Artificial Intelligence, coding, and building apps.

Therefore, learners must have suitable equipment and software that is capable of:

• Running a "proof of concept" deep neural network inference.
• Running one of the following cloud-based solutions seamlessly:
  • Google Colab
  • Amazon Web Services (AWS)

Graduating from the Master of AI Dual Qualifications program, the learner could:

• AI Methodologies and Practices
  Demonstrate an in-depth understanding of contemporary Artificial Intelligence (AI) methodologies, practices, and evolving technologies. Apply both theoretical and practical knowledge of AI systems across various domains.

• Foundational Concepts and Advanced Topics
  Gain comprehensive insights into foundational AI concepts, including classical symbolic and statistical methods, deep learning, neural networks, and intelligent agents. Understand and evaluate AI’s ethical considerations, fairness, and its role in sustainable development.

• Integration of AI in Achieving Sustainability Goals
  Analyze the impact of AI on different sectors and its integration in achieving sustainability goals. Develop the ability to address real-world challenges using AI-driven solutions.

• Core Aspects and Advanced AI Applications
  Master essential aspects of AI through mandatory units that cover core topics, such as AI introduction, deep learning, intelligent agent development, and ethical considerations in AI. Apply these skills to modern problem-solving scenarios.

• Ethical and Societal Implications of AI
  Foster an awareness of AI's ethical implications and societal impact. Reflect on and apply ethical frameworks when developing or implementing AI solutions.

• AI Research and Development Skills
  Demonstrate the ability to engage in discussions, conduct research, and contribute to the development and implementation of AI systems. Show proficiency in applying advanced AI knowledge to research and project-based tasks.

• Career Readiness in AI-Related Roles
  Possess the competencies required for professional roles in AI research, development, and implementation across various sectors, including technology, healthcare, finance, sustainability, and public policy. Continue advancing expertise through further studies or specialized fields.

In addition to the entry requirements, candidates applying to the program are also assessed for their suitability by the admissions committee before joining the program to ensure that they can acquire and benefit from the program.

Entry requirements:

To enroll the Master of Sciences in Information Management Dual Qualifications program, the learner must possess one of the criteria below:

• A Bachelor’s qualification in Majors from accredited universities; or
• A Level 6 EQF diploma or equivalent. Level 6 Diploma must be from organizations that are authorized to issue degrees and have been accredited.

English requirements:

If a learner is not from a predominantly English-speaking country, proof of English language proficiency must be provided.

• Common European Framework of Reference (CEFR) level B2 or equivalent
• Or A minimum TOEFL score of 101 or IELTS 6.5; Reading and Writing must be at 6.5 or equivalent

Please note: SIMI reserves the right to make admissions decisions based on the requirements of recognized agencies and the global quotas of the program.

SIMI SWISS is the pioneering higher education institution with accreditation at both the programmatic and institutional levels:

• Accredited by the Accreditation Service for International Schools, Colleges and Universities (ASIC) at the highest level (Premier Institution);
• Accreditation of the management system compatible with the European Quality Assurance Framework for Vocational Education and Training (EQAVET) and Standards and Guidelines for Quality Assurance in the European Higher Education Area, awarded by the HEAD – Higher Education Accreditation Division;
• Programmatic accreditation by Ofqual UK.Gov Awarding Bodies (OTHM, CTH);
• Learning outcomes are mapped to the UK national occupational standards by the Senior Leader Bureau United Kingdom;
• A Federal Member of SVEB (Swiss Federation for Adult Learning);
• Recognized by the United Kingdom Regulated Qualification Framework.

---- See more information about the accreditation and recognition of SIMI Swiss HERE. 

---- Guidelines of how to check the accreditation of SIMI Swiss HERE.

OTHM is an Ofqual UK.Gov Awarding Body, achieved: 

• Recognition at institutional level by the UK education authority Ofqual (UK.Gov) Recognition Number: RN5284
• OTHM Level 7 Diploma in Data Science is accredited by the UK’s government with the Qualification Number: 610/2153/2

------ Guidelines of how to check the recognition of OTHM HERE. 

Recognition of RQF Level 7 equivalent to a Master’s qualification in the United States:

Note: The information and images here are for reference purposes only regarding the recognition of OTHM’s RQF level 7 as equivalent to the Master’s level, and the information in the images may be related to another institution or organization, not under the ownership of the London Academy of Sciences (LAS). LAS and Level UK are not responsible for any inaccuracies arising from the information provided in the reference images.

Confirmation from the UK NARIC Examination Office regarding Level 7 Diploma:

Note: The information provided here is accurate as of the publication date, and the content may be subject to changes based on the regulations of each country without prior notice.

Certifications & Apostilles in Switzerland:

Certifications & Apostilles is the process by which The Cantonal Chancellery certifies original public documents of the Canton of Zug (where SIMI Swiss is authorized and licensed), thus validating them for use abroad. The process solely verifies the authenticity of the diploma, confirming its origin from the Swiss Institute of Management and Innovation, and ensures the genuine signature of the chancellor/dean.

Below is an example of the Certification by Notary Public and confirm from Chancellor of State:

Note: The information provided here is accurate as of the publication date, and the content may be subject to changes based on the regulations of each country without prior notice.

The IT Institute of Switzerland, The Swiss Information and Management Institute, Partner Universities, and Ofqual Uk.Gov Awarding Bodies (collectively referred to as 'Parties' or 'We') hereby state and affirm that:

• The Parties expressly disclaim any guarantee of qualifications acceptance by a third party. The acceptance or rejection of a degree is contingent upon the discretion of the receiving entity.  Learners ought to fully understand the nature of our programs and are encouraged to proactively seek information before registering and commencing their studies with us.
• The Parties explicitly disavow any guarantee regarding salary increments, promotions, new employment opportunities, or employment acceptance subsequent to graduation.
• Despite existing regulations on the cross-recognition and equivalence of qualifications, it's important to understand that each country, organization, and entity has the autonomy to recognize its own degrees. The Parties involved do not guarantee automatic or equivalent recognition of qualifications and transcripts, either among themselves or with any partners. Additionally, the Parties do not support or endorse any processes for recognizing equivalent qualifications in other countries, where applicable.
• The Parties do not assure or commit to facilitating opportunities for immigration, employment abroad, acquisition of work permits, teaching permits, or professional licenses in the UK, Europe, or any other country.
• While the Parties extend maximum support, they do not guarantee 100% approval of student visas (in the case of full-time study in a foreign campus) or Schengen visas (for attendance at the graduation ceremony in Europe if applicable) if learners do not meet the requirements of the host country and the competent authority responsible for immigration, relocation, and settlement in other countries.