Student Academic Record

Master of Science in Artificial Intelligence

Full name: Tomáš Garrigue Masaryk
Nationality: Poland
Student ID: 0000000000
Degree name: Master of Science in Artificial Intelligence
Degree accreditation level: ECTS Accredited (EQF7)
Degree completion status: Completed
Date of award: 20 July 2026
Official accreditation information: Degree listing on MFHEA website in Europe
Average (percent): 100%
Cumulative GPA: 4

Transcript issued and signed on 20 July 2026 by:

Dr. Joshua Broggi
President

Kai Thorben Roemmelt
Dean of Udacity Institute of AI & Technology

Student credentials europass

This Diploma Supplement follows the model developed by the European Commission, Council of Europe and UNESCO/CEPES. The purpose of the supplement is to provide sufficient independent data to improve the international 'transparency' and fair academic and professional recognition of qualifications (diplomas, degrees, certificates etc.). It is designed to provide a description of the nature, level, context, content and status of the studies that were pursued and successfully completed by the individual named on the original qualification to which this supplement is appended. It should be free from any value judgements, equivalence statements or suggestions about recognition.

Information in all eight sections should be provided. Where information is not provided, an explanation should give the reason why.

1. Information identifying the holder of the qualification

1.1. Full name: Tomáš Garrigue Masaryk

1.2. Date of birth (dd/mm/yyyy): 20/07/2026

1.3. Student identification number: 0000000000

2. Information identifying the qualification

2.1. Name of qualification and (if applicable) title conferred (in original language): Master of Science in Artificial Intelligence

2.2. Main field(s) of study for the qualification: Computer & Mathematical Science

2.3. Name and status of awarding institution (in original language): Woolf

2.4. Name and status of institution (in different from 2.3) administering studies: Woolf (established in 2018) is an accredited Higher Education Institution in Malta with license 2019-015 from the Malta Further and Higher Authority.

2.5. Language of instruction/examination: English

3. Information on the level and duration of the qualification

3.1. Level of qualification: ECTS Accredited (EQF7)

3.2. Standard Programme Length: 18 months

3.3. Standard Programme Delivery Length: 18 months

3.4. Access requirements: Undergraduate Degree or Equivalent

4. Information on the programme completed and the results obtained

4.1. Programme learning outcomes:

Knowledge

a) Identify and explain fundamental concepts in artificial intelligence, including machine learning, neural networks, and natural language processing.

b) Critically evaluate various AI algorithms and their applications across different industries, with a focus on optimising performance and accuracy.

c) Explore the strategies and methods for integrating AI technologies into existing systems, emphasising computational models and AI frameworks.

d) Analyse emerging AI technologies and their potential impact on future developments in the field, including advancements in cognitive computing and deep learning.

e) Investigate the ethical implications of AI applications, including considerations for bias, privacy, and societal impact, in the context of responsible AI development.

Skills

a) Design and develop AI models using state-of-the-art tools and techniques, applying machine learning principles to solve complex problems.

b) Apply AI techniques to industry-specific applications, utilising data science and computational intelligence for real-world decision-making.

c) Optimise AI models and algorithms through iterative testing and refinement, improving efficiency and effectiveness in various applications.

d) Execute predictive modelling using advanced data analytics and machine learning approaches, with a focus on accurate predictions and insights.

e) Lead AI-focused projects, managing resources, timelines, and stakeholders to deliver AI-driven solutions that align with business goals.

Competencies

a) Demonstrate the ability to work collaboratively in cross-functional teams to integrate AI technologies into existing business processes and systems.

b) Exhibit creativity and innovation in the development and deployment of AI solutions, contributing to the advancement of the field.

c) Apply ethical reasoning and decision-making in AI projects, ensuring that AI solutions are fair, transparent, and aligned with societal values.

d) Adapt to new AI technologies and methodologies, maintaining a proactive approach to learning and professional growth.

e) Lead the strategic planning and implementation of AI initiatives within organisations, driving the adoption of AI technologies to achieve competitive advantage.

4.2. Programme details, individual credits gained and grades/marks obtained: Refer to the first page of this transcript

4.3. Grading system and, if available, grade distribution table: Refer to the first page of this transcript.

5. Information on the function of the qualification

5.1. Access to further study: Degree Programmes may entitle access to EQF8 Level Study

5.2. Access to a regulated profession (if applicable): Not Applicable

6. Additional information

6.1. Further information sources: https://woolf.education/regulation/regulatory-resources

7. Certification of the supplement

7.1. Transcript issued and signed on 20 July 2026 by:

7.2.

7.3.

Dr. Joshua Broggi
President

Kai Thorben Roemmelt
Dean of Udacity Institute of AI & Technology

7.4. Official stamp or seal: