Master’s Programs - PRUE in Dubai

Plekhanov Russian University of Economics in the UAE holds an institutional license from the UAE Ministry of Education and is accredited by the Commission for Academic Accreditation (CAA) and the Knowledge and Human Development Authority (KHDA).

Master of Science in Corporate Finance

Level 9 QF Emirates

Embark on a journey to elevate your financial expertise with our Master of Science in Corporate Finance program. This Level 9 QF Emirates program offers a dynamic curriculum covering essential aspects of international corporate finance. From sustainable finance in the digital age to the intricacies of distributed ledger technologies, our program equips you with the knowledge and skills needed to excel in the ever-evolving world of finance.

Mission:

Providing world-class post-graduate qualifications for professionals who aspire to be leaders and successful managers in the field of finance.

Master of Science in Corporate Finance Program Goals:

1. Equip students with the skills, knowledge, and competencies to be professional practitioners in the field of financial management.
2. Equip students with a comprehensive understanding of modern methods and tools applicable in such a field of corporate finance as valuation, considering risk/ return trade-offs, optimizing capital structure and dividend policy as well as to involve them in the decision-making processes in relation to non-standard financial management tasks.
3. Create a platform for research development to enable students to pursue life-long learning and advanced studies in such areas as financial risks’ management, international financial management, managing venture capital, and ESG-financing decisions.
4. Provide students with the knowledge of the current industrial standards in the financial consulting and IAS, financial risk management and financial analytics to meet up-to-date market demand.

Yearly Achievements of Master of Corporate Finance

1st course

Upon completion of the first year, students will have acquired the ability to develop and apply a diverse set of principles and theoretical knowledge to advance a company's development strategy. This includes identifying key factors for growth and competitiveness, analyzing challenges, evaluating risks, and formulating solutions to enhance the company's value. Additionally, students will be equipped to demonstrate and apply advanced skills and concepts, including modern corporate finance models, long-term and short-term financial planning models, as well as methods for assessing and managing current assets

2nd course

Upon completion of the second year, students will be equipped to demonstrate and apply advanced skills and developments in corporate finance. This includes mastery of advanced concepts and financial models, such as those used in modern corporate finance. Students will also gain proficiency in models for long-term and short-term financial planning, as well as methods for assessing and managing current assets. Additionally, students will acquire specialized knowledge to effectively value financial assets and utilize financial management instruments. Furthermore, students will develop the skills necessary to design, plan, and conduct applied research in the field of corporate finance. They will be able to defend their research results, showcasing advanced skills in their chosen area of expertise within corporate finance.

Master of Science in Digital Business

Level 9 QF Emirates

Embark on a journey of innovation and digital transformation with our Master of Science in Digital Business program. This comprehensive two-year program offers a dynamic curriculum with a focus on key courses that will equip you with the skills and knowledge to excel in the rapidly evolving digital business landscape.

Mission:

The mission is the comprehensive and systematic training of masters who have the knowledge and a set of methodological and instrumental tools in the digital economy field aimed at ensuring the country’s technological leadership in the context of global digital space formation.

Master of Science in Digital Business Goals:

1. The ability to develop a digital business strategy and manage its implementation,
to make decisions, carry out strategic planning and forecasting in professional activities using modern methods and software tools for collecting, processing, and analyzing data and artificial intelligence systems.

2. The ability to design, organize, and lead digital marketing campaigns.

3. The ability to conduct research, organize independent and collective research and project activities to search, develop, and apply new solutions in the field of information and communication technologies, digital business, and digital marketing.

4. The ability to manage IT projects of high level of complexity.

5. The ability to develop Internet applications and mobile applications.

6. The ability to apply modern end-to-end digital technologies, to build digital platforms and ecosystems.

7. The ability to manage the development of products, services, and solutions based on big data and AI.

Yearly Achievements of Master of Science in Digital Business

1st course

1. Demonstrate comprehensive knowledge of main methodological approaches and principles in the field of digital transformation of economics and society, digital business models for digital transformation in different sectors as well as detailed knowledge of digital technologies including AI, blockchain, and other emerging technologies, and their impact on digital transformation.

2. Develop and apply a range of relevant principles and theoretical knowledge of the mobile application development process as well as software tools and frameworks for mobile applications development.

3. Access publicly available big datasets with the purpose of big data mining and knowledge discovery; perform descriptive analytics of big amounts of weakly structured or unstructured data providing overall assessment, summarization, and visualization.

4. Employ business intelligence software, machine learning technologies, and artificial intelligence tools for predictive analysis of big volumes of data and making data-driven decisions.

5. Demonstrate advanced skills required in research, analysis, evaluation and/or innovation of complex ideas, information, concepts, and activities in the field of digital marketing and relevant information technologies and systems

2nd course

1. Initiate and manage professional activities related to web applications development & demonstrate relevant programming skills while designing web applications.

2. Conduct research, organize independent and collective research and project activities to search, develop, and apply new solutions in the field of information and communication technologies, digital business, and digital marketing.

3. Demonstrate comprehensive and highly specialized knowledge of the modern capabilities of cloud computing resources and cloud services for data analysis.

4. Analyze problems, formulate solutions, and identify risks associated with implementing Management Information Systems in an organization.

Master of Science in Public Health Management

Level 9 QF Emirates

Take a step toward shaping the future of healthcare with our Master of Science in Public Health Management program. Designed at Level 9 of the QF Emirates, this program offers an advanced curriculum encompassing key areas of public health policy, healthcare administration, and economic analysis. From leading healthcare organizations strategically to leveraging artificial intelligence in health systems, students will gain the expertise and competencies necessary to thrive in the ever-evolving global healthcare industry.

Mission:

Offering top-tier postgraduate education for professionals aiming to become visionary leaders and effective managers in public health

Master of Science in Public Health Management Program Goals

Equip students with the knowledge and skills to formulate, implement, and evaluate health policies and strategic plans.
Provide an in-depth understanding of healthcare systems, economic models, and financial strategies to optimize healthcare management.
Enable students to conduct cost-effectiveness analyses and economic evaluations of healthcare programs.
Develop competencies in applying artificial intelligence and digital innovations to enhance healthcare efficiency.
Foster leadership, emotional intelligence, and strategic decision-making skills in healthcare organizations.

Yearly Achievements of Master of Science in Public Health Management

1st course

In the first year, students will establish a strong foundation in public health ethics, healthcare compliance, and global health systems. They will gain expertise in strategic leadership, artificial intelligence in healthcare, and technologies of efficient management. The curriculum also emphasizes research methodology, intercultural business communications, and business analytics, ensuring students develop essential analytical and managerial skills. Additionally, elective courses in career development and coaching enhance professional growth.

2nd course

By the second year, students will refine their expertise in health economics, demography, and economic evaluations of healthcare programs. They will acquire advanced leadership skills in healthcare and public health, along with specialized knowledge in human resource management within the sector. Through a research internship and dissertation, students will apply their learning to real-world healthcare challenges, demonstrating proficiency in healthcare management and strategic decision-making.

Master of Education in Artificial Intelligence in Education

Level 9 QF Emirates

The Master of Education in Artificial Intelligence in Education program offers an exciting opportunity for educators to explore educational innovation. This flexible, two-year, part-time program provides a robust curriculum designed to prepare educators with the expertise needed to thrive in the fast-changing world of AI in education. The program requires completion of 36 credit hours.

Mission:

The goal of the Master of Education in Artificial Intelligence in Education is to equip educators with the essential knowledge and abilities to create, implement, and assess AI-driven teaching methods, encourage the responsible use of AI, and contribute to advancing AI research in the field of education.

Master of Education in Artificial Intelligence in Education Goals

The ability to design and implement AI-enhanced teaching methodologies.
The ability to utilize learning analytics and data-driven decision-making to assess student progress and implement data-informed strategies.
The ability to demonstrate ethical and inclusive AI integration in education, critically analyzing ethical concerns and advocating for equitable AI applications.
The ability to conduct research in AI-enhanced teaching and learning.

Yearly Achievements of Master of Education in Artificial Intelligence in Education

1st course

In the first year, students will develop a robust foundation in artificial intelligence and its transformative role in education. They will explore key concepts of AI and machine learning, with a focus on their applications in personalized and adaptive learning, inclusive education, and special needs support. Through core and elective courses, students will engage with topics such as natural language processing, gamification, computer vision, and AI-powered tools for assessment and feedback. Ethical considerations, data privacy, and the responsible use of AI are integral to the curriculum. Electives also allow students to explore AI's role in STEM education and language learning, equipping them with the skills to design innovative and accessible digital learning environments.

2nd course

By the second year, students will advance their research capabilities and deepen their analytical skills in applying AI to educational contexts. They will gain proficiency in both qualitative and quantitative research methodologies, leveraging AI tools for data collection, statistical analysis, and thematic evaluation. Courses in research methods and AI-driven analysis prepare students to critically assess educational technologies and implement data-informed strategies. Through an action research project and a master’s thesis, students will apply theoretical knowledge to practical educational challenges, demonstrating their ability to lead innovation and improve learning outcomes through AI-enhanced solutions.