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Master in Business Administration with AI and Blockchain

The Master in Business Administration has been developed to reward the business managers eager to explore the applications of AI and blockchain in business contexts and to revolutionize industries through enhanced efficiency, security, and transparency.

Intake

March & October

EQF / MQF Level

Level 7

Mode of Delivery

Traditional

Duration of Course

2 Academic Years, 3-hours, Twice a Week (Full-Time and part-time options available)

Operational End Date

N/A

N/A

ECTS Credits

90 ECTS

Programme Qualifies for

Get Qualified Scheme

Certificate after completing

Student Success Rate

100

Awarding Bodies

Domain Academy
9,650

*Prices for Non EU applicants may differ

Intake

March & October

EQF / MQF Level

Level 7

Mode of Delivery

Traditional

Duration of Course

2 Academic Years, 3-hours, Twice a Week (Full-Time and part-time options available)

Operational End Date

N/A

N/A

ECTS Credits

90 ECTS

Programme Qualifies for

Get Qualified Scheme

Certificate after completing

Student Success Rate

100

Course Description

This Level 7 programme will require you to critically evaluate, challenge and synthesise a wide range of current management tools, techniques and models. Specific emphasis is placed on current management concepts and models which are relevant to the 21st century business environment and context and go beyond the normal examination of Anglo American management models.

Target Group:

This qualification has been developed in order to reward the business managers of today and provide them with the necessary tools to continue bringing recognition and professionalism to the management sectors.

Tech Enthusiasts: Learners with a background in technology, computerscience, or engineering, eager to explore the applications of AI and blockchainin business contexts. They seek to lead innovation and leverage emergingtechnologies.

Business Innovators: Entrepreneurs and business professionals whorecognize the potential of AI and blockchain to revolutionize industriesthrough enhanced efficiency, security, and transparency. They want to learn howto integrate these technologies into their strategies.

Finance and Banking Professionals: Those in finance and banking who are interested in the transformative potential of blockchain for enhancing transaction security, reducing fraud, and streamlining processes like cross-border payments.

Data Analysts and Scientists: Individuals working with data who want to harness AI for predictive analytics, data-driven decision-making, and extracting insights from large datasets.

Supply Chain Managers: Professionals seeking to optimize supply chains through AI-driven forecasting, inventory management, and logistics optimization. They also want to explore blockchain's potential for traceability and transparency in supply chains.

Cyber security Experts: Individuals concerned with data security and privacy, intrigued by the cryptographic and decentralized nature of blockchain.They're interested in learning about blockchain's applications in securing digital assets and identities.

Target Audience:

  • 21+

Course Language:

English

Where you will learn:
Domain Building, 102/104, Constitution Street, Mosta
What you will study
Enquire Full Course
Specialisation AI
MBA-AI
Ethical Leadership in Contemporary Society

Core Module

250

Learning Hours

10 ECTS

Credits

UK Credits

This module explores the principles and practices of responsible and authentic leadership within the context of contemporary society. It delves into the essential qualities, ethical considerations, and strategic approaches that leaders must embody to drive positive change both within organizations and across broader societal landscapes. The unit engages students in critical discussions, case Analyses, and experiential exercises to develop their understanding of leadership's role in fostering sustainable and socially conscious outcomes.

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Collaborate effectively within diverse teams to demonstrate ethical leadership principles within contemporary society.

b) Be responsible for guiding ethical decision-making processes by applying strategic approaches and considering broader societal impacts.

c) Demonstrate authentic leadership qualities and behaviors that foster positive change in both organizational and societal contexts.

d) Manage ethical considerations within organizational and societal dynamics, ensuring responsible leadership outcomes.

etc.

More information

PGDBA

MBA_Domain

MBA-AI

Business Operations in a Reasonable and Sustainable Manner

Core Module

250

Learning Hours

10 ECTS

Credits

UK Credits

This unit delves into the critical intersection of ethics and sustainability within the realm of business operations. It examines how businesses can integrate ethical considerations and sustainable practices into their operations to create long-term value while minimizing negative impacts on society and the environment. Through case studies, interactive discussions, and practical exercises, students will gain insights into the complexities of ethical decision-making and the strategies required to embed

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Deal with sustainable practices to optimize business operations while minimizing negative societal and environmental impacts.

b) Carry out ethical decision-making within operational contexts, complying with industry standards and best practices.

c) Manage strategies that embed sustainability principles into business operations, ensuring long-term value creation.

d) collaborate with stakeholders to ensure ethical and sustainable operations across diverse organizational contexts.

More information

PGDBA

MBA_Domain

MBA-AI

Innovative Entrepreneurship

Core Module

250

Learning Hours

10 ECTS

Credits

UK Credits

This unit explores the dynamic and transformative world of entrepreneurship and innovation. It delves into the mindset, skills, and strategies required to create and manage ventures that drive innovation and contribute to economic growth. Through a blend of theoretical concepts, real-world case studies, and experiential learning, students will gain insights into the entrepreneurial process, from idea generation to market implementation, and develop an understanding of how innovation can shape industries and societies.

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Create innovative ventures by applying entrepreneurial mindset and strategic planning

b) Manage challenges inherent to entrepreneurship by using adaptive strategies and problem-solving skills

c) Guide the development of innovative ventures by demonstrating leadership and effective decision-making.

d) Collaborate effectively within teams to foster innovation and develop viable business concepts.

e) Represent the potential market impact of innovative ventures, incorporating market analysis and strategic positioning.

More information

PGDBA

MBA_Domain

MBA-AI

Research Methods for Business

Core Module

250

Learning Hours

10 ECTS

Credits

UK Credits

This unit provides a comprehensive exploration of the methodologies and techniques essential for conducting rigorous business research and effectively analysing data. It equips students with the skills necessary to gather, evaluate, and interpret data to inform strategic decision-making and address complex business challenges. Through a combination of theoretical foundations, hands-on exercises, and practical applications, students will develop a deep understanding of research design, data collection, and quantitative analysis.

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Be responsible for designing rigorous research studies that align with business objectives and research goals.

b) Manage data collection processes, ensuring accuracy, validity, and ethical considerations.

c) Analyse quantitative data using appropriate statistical techniques to derive meaningful insights.

d) Interpret research findings and relate them to strategic decision-making within business contexts.

e) Collaborate effectively within research teams to collectively contribute to research design and execution.

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MBA_Domain

MBA-AI

AI-Powered Business Innovation: Navigating Strategies for Modern Transformation

Core Module

250

Learning Hours

10 ECTS

Credits

UK Credits

This unit explores the transformative potential of artificial intelligence (AI) in shaping modern business strategies and operations. It investigates how organizations can leverage AI technologies to drive innovation, enhance decision-making, and create value across various sectors. Through theoretical exploration, real-world examples, and hands-on exercises, students will gain insights into the applications, challenges, and ethical considerations associated with integrating AI into business processes.

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Enhance decision-making skills by incorporating AI-driven insights into business strategies.

b) Navigate the applications of AI technologies and assess their potential impact on business operations.

c) Analyze ethical considerations related to AI integration in business and propose strategies to address them.

d) Manage AI-enhanced business strategies to adapt to modern business transformations.

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MBA-AI

Blockchain Unleashed: Driving Innovation and Transparency in Business

Core Module

250

Learning Hours

10 ECTS

Credits

UK Credits

This unit explores the revolutionary potential of blockchain technology in driving business innovation and transforming traditional processes. It investigates how organizations can leverage blockchain to enhance transparency, security, and efficiency across various industries. Through theoretical exploration, real-world case studies, and hands-on exercises, students will gain insights into the applications, challenges, and strategic considerations associated with integrating blockchain into business operations.

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Deal with the innovative potential of blockchain technology to drive transformative changes in business processes.

b) Ensure transparency and security in business operations by leveraging blockchain technology.

c) Evaluate the applications of blockchain technology across various industries and sectors

d) Manage challenges related to the implementation and adoption of blockchain technology.

e) Produce strategies to integrate blockchain into business operations and drive efficiency.

etc.

More information

MBA-AI

Dissertation

Core Module

750

Learning Hours

30 ECTS

Credits

UK Credits

Upon completing the dissertation students will gain the skills to identify research topics and create comprehensive proposals, including literature reviews, methodologies, participant plans, and timelines.

Building on these skills, students will conduct independent research, demonstrating intellectual autonomy and creativity. Their findings will be presented in a well-structured, referenced document of around 30,000 words.

Throughout, students will engage in supervision meetings, receiving feedback on sections/chapters to refine their academic writing and address concerns early.

This research will be focused on a topic of the student's choice, resulting in a critical research study showcasing thorough research, appropriate investigation methods, and methodical work.

The final phase will involve thorough editing to ensure consistency, coherence, and cross-referencing among document components for a polished, cohesive outcome.

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

a) Collaborate with peers to execute research on a specific topic, ensuring originality and constructive critique when building on the achievements of previous researchers.

b) Ensure a comprehensive grasp of the theoretical framework employed in the thesis and take a self-critical approach to evaluating the model used.

c) Manage the systematic exploration of subjects related to the chosen field of study, ensuring effective project management within specified timeframes.

d) Produce innovative research methodologies and assume responsibility for adeptly collecting data.

More information

MBA_Domain

How will you learn

This degree is delivered with a flexible classroom-based method, through a variety of course materials, case studies, discussions, presentations, enquiry-based learning and problem-solving activities. We provide you with key reading and research activities, and you will make the most of our own teaching portal.

Where you will learn:

Lessons will be held in class in our premises at Domain Building, 102/104, Constitution Street, Mosta.

Assessment

Assessments will be designed according to the guidelines of each module specification. In general, the assessments will enable learners to demonstrate achievement of learning outcomes across the individual elements of the programme. The range of assessments utilised will normally include: essays, reports, presentations and other structured assignments and examinations.

Assessments are drafted in conjunction with the curriculum development department and tutor concerned. Final version is confirmed by the curriculum development department.

Assessments are moderated by tutor concerned, then also verified by the Internal Verifier.

Structure of Programme
Teaching, Learning and Assessment Procedures

1. Face-to-Face / Online Learning Sessions:

Lectures: Key concepts, frameworks, and case studies will be covered through interactive lectures led by experienced faculty members. Lectures will encourage student engagement, discussions, and real-world applications.

Group Discussions: Small group discussions and debates will be conducted to encourage critical thinking, problem-solving, and peer learning. These sessions will encourage students to share their insights and challenge each other's perspectives.

Guest Speakers: Industry experts and successful leaders will be invited for guest speaker sessions, providing real-world insights and networking opportunities.

2. Self-Study Component

The self-study component of our programme is a critical aspect of our students’ educational journey, providing the opportunity to individually explore and consolidate the knowledge gained during formal teaching sessions. The following elements are integral to this independent study phase:

Reading of Recommended Textbooks: Our curriculum is supported by a carefully curated list of textbooks, which are essential to providing foundational knowledge and theoretical frameworks. Students are expected to engage in thorough reading of these texts to understand the core concepts and principles relevant to each module. This deepens their comprehension and equips them with various perspectives and approaches to business management.

Engagement with Articles and Case Studies Discussed in Lectures: Lectures often introduce complex ideas and real-world scenarios through academic articles and case studies. During self-study, students are expected to read and critically analyse these materials. This exercise is designed to help students apply theoretical concepts to practical situations, develop critical thinking, and gain insights into effective problem-solving strategies in a business context.

Review of Additional Notes and Case Studies on the Online Learning System: The programme leverages an advanced online learning system to provide students with supplementary materials. This may include extended notes, case study analyses, or industry reports that build upon the topics covered in class. The online system also serves as a platform for interactive learning through forums and discussions, which are integral to the self-study component.

Students are responsible for regularly reviewing these additional resources, which are designed to enhance their understanding and retention of module content. The inclusion of these various self-study elements ensures that our students are not only well-versed in theoretical knowledge but are also capable of applying this knowledge in a way that is reflective, informed, and relevant to the contemporary business landscape.


Grading System

Grading System for Assignments

Awarded Marks                Assignment Grade

90-100                                         A+

80-89                                           A

70-79                                            B

60-69                                           C

50-59                                           D

<50                                               F

Reassessment Procedure

Should a student fail to achieve a passing grade (below 50%), they will be granted a single opportunity to retake the examination for that specific unit.

Should the student again fail to secure a passing grade on this retake, they will be presented with the option to retake the entire module from the beginning.

Entry Requirement

Any MQF/EQF Level 6 Bachelors Degree in Management, Business or

Any other area deemed fit by management with a minimum of 2 years in a junior management role.

Or

Any MQF/EQF Level 4 Diploma in Management, Business or

Any other area deemed fit by management along with a minimum of 5 years’ work experience in a managerial position,

Good English level at 6 IELTS or equivalent is a must since the MBA is delivered in English. (Does not apply to English speaking countries or students who did a first Degree in English). An appropriate test to show the 6 IELTS might be required through for example Pearson Test of English (PTE)

Note regarding Level 6 IELTS

Speaking: minimum score of 5.5

Listening: minimum score of 5.5

Reading: minimum score of 5.5

Writing: minimum score of 5.5

Recognition of Prior Learning (RPL):

Domain Academy values both formal education and experiential learning. For entry into our MBA programme, we recognize prior learning that is equivalent to master’s level credits. Candidates who may not fully meet the formal entry requirements but can demonstrate relevant, substantial professional experience equivalent to this level are encouraged to apply. Further details on the RPL process are available on our website at Domain Academy's RPL Information (https://www.domainacademy.edu.mt/about/us)

Fees & Funding

MFHEA Licence Nº: 2011 – TC – 01

Further and Higher Education Institution

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28 Years

of Excellence

8,000+

Satisfied Alumni

98%

Student Success Rate

250+

Active Students