STCA Test - Master of Business Administration
STCA Test - Master of Business Administration
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STCA Test - Master of Business Administration
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About this degree
The course teaches students comprehensive and specialized subjects in entrepreneurial leadership and management for various business situations; it develops skills in critical thinking and strategic planning for changing and fast-paced environments, including financial and operational analysis; and it develops competencies in leadership, including autonomous decision-making, and communication with employees, stakeholders, and other members of a business. These generalized MBA insights are firmly rooted in a curriculum focused on innovation, social entrepreneurship, finance, and technology.
Specialized MBA programs aims to refine the expertise in the specific field.
Target Audience
Ages 19-30, 31-65, 65+
Target Group
The course is suited for executives and general business managers in organizations of all sizes and types, or for those who will soon move into such management positions. It is designed for those that will have responsibility for planning, organizing, and directing business operations. Some of the specific pathways will have associated audiences.
For example the MBA in International Business is suited for executives and general business managers, or aspirants to these roles, who work in organizations with global reach and need to enhance their understandings of internationalization and cross-cultural aspects of work and business.
Similarly, the MBA in Technology Leadership is suited for business leaders at the forefront of digital and technological transformation in their organizations.
In all cases, the target group should be prepared to pursue substantial academic studies fitting to the MQF level.
Mode of Attendance
Full-Time and Part-Time
Structure of the Program
Please note that this structure may be subject to change based on faculty expertise and evolving academic best practices. This flexibility ensures we can provide the most up-to-date and effective learning experience for our students.
Full-Time: 50 Weeks, 1 Year, or 3 Semesters (2250 hrs at ~45 hrs/week)
- Semester I (~17 weeks): Tier One Foundational modules (30 ECTS, 750 hrs) result in 1 semester of coursework (~45 hrs/week)
- Semester II (~17 weeks): Tier Two Specialisation modules (30 ECTS, 750 hrs) result in 1 semester of coursework (~45 hrs/week)
- Semester III (~17 weeks): Tier Three Capstone module (30 ECTS, 750 hours) results in 1 semester of coursework (~45 hrs/week)
Part-Time: Up to 250 Weeks, 5 Years, or 15 Semesters (2250 hrs at <9 hrs/week)
- Semester I-X (~17 weeks each): Tier One Foundational modules (3 ECTS, 75 hrs each) at ~4.5 hrs/week
- Semester XII-XIV (~17 weeks each): Tier Two Specialisation modules (10 ECTS, 250 hrs each) at ~15 hrs/week
- Semester XV (~17 weeks): Tier Three Capstone module (30 ECTS, 750 hours) at ~45 hrs/week
Grading System
- Scale: 0-100 points
- Components: 60% of the mark derives from the average of the assignments, and 40% of the mark derives from the cumulative examination
- Passing requirement: minimum of 60% overall
Dates of Next Intake
Rolling admission
Pass Rates
2023 pass rates will be publicised in the next cycle, contingent upon ensuring sufficient student data for anonymization.
Identity Malta's VISA requirement for third country nationals: https://www.identitymalta.com/unit/central-visa-unit/
STCA Test - Master of Business Administration
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What you'll learn
Skills obtained at the end of the programme: Students will; Develop advanced, innovative, and multi-disciplinary problem-solving skills. Communicate business plans clearly and unambiguously to specialised and non-specialised audiences. Develop advanced abilities related to operational procedures and implement them in response to changing environments. Critically evaluate alternative approaches through analytics, computational methods, and modelling on the basis of academic scholarship and case studies, demonstrating reflection on social and ethical responsibilities. Formulate business judgements and plans despite incomplete information by integrating knowledge and approaches from diverse domains including anthropology, ethnography, and sociology. Enquire critically into the theoretical strategies for executing a business plan. Develop new skills in response to emerging knowledge and techniques and demonstrate leadership skills and innovation in complex and unpredictable contexts. Demonstrate professional norms, values, and skills in a real-world business environment. Apply technological skills to generate innovate solutions and improve business outcomes by aligning technological capacity of the organisation/business with high-impact leadership.
STCA Test - Master of Business Administration
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Course Structure
Tiers
Tier 1:
750 hours | 30 ECTS
Tier 1:
About
This module explores the key concepts of marketing and how they fit into the larger context of management strategy and operational decisions. It presents both the practical 'how' and the fundamental 'why' of marketing activities in the light of contributions from behavioural science, economics, and statistics. The module provides managers and business leaders with the understanding needed to manage and lead those who implement the marketing activities; the module provides concepts and processes for business leaders that seek to continue developing through future experiences or coursework in marketing. The module then focuses on managing processes. Theoretically, it models business functions as a network of actions that convert inputs in to outputs. Process design is considered, including the volume and variety of system inputs and outputs - especially with respect to goods and services. Different inventory management and logistic systems are explored. Finally, forecasting and process optimisation are explored, strengthening managers ability to operate with finite resources
Teachers
Intended learning outcomes
About
This module examines how leaders can most effectively use the resources of their team members to achieve business outcomes. The module develops managerial and leadership competences, focussing on how key improvements in the general strategy and techniques of managing people can produce outcomes more significant than isolated improvements to employee performance.The module provides students with concepts to support them across their careers as they continue to develop effective delegation, management strategy, and engagement with people inside of an organisation.
Teachers
Intended learning outcomes
About
This module explores basic economic principles (theories and applications) that are relevant to a variety of businesses. The module emphasises an economist's mindset and amassing the tools necessary todo so, including the study of microeconomics and macroeconomics. Throughout the module, students will examine the underlying economics of successful business strategy: the strategic imperatives of competitive markets, the sources and dynamics of competitive advantage, managing competitive interactions, and the organisational implementation of business strategy. Additionally, the module focuses on case discussion and analysis and provides a foundation for consultants, managers, and corporate finance generalists.
Teachers
Intended learning outcomes
- Has specialised knowledge of techniques for production and cost analysis.
- Select topics in the strategic deployment of Information, auctions, and incentives.
- Has a comprehensive knowledge of the business cycle beyond that associated with general studies.
- Performs critical evaluations of business environments in order to model relevant markets.
- Analyse and take leadership decisions in a fast-changing environment about monetary policy and the supply and demand for money.
- Analyse and communicate the relevance of gross domestic product and its components for a given market.
- Research the determinants of market demand and supply in a givenindustry.
- Demonstrates the ability to respond to fast-changing market conditions with actionable proposals for strategic firm behaviour including game theory, entry and deterrence, collusion and cooperation, and bargaining.
- Have the autonomy to recognise and describe the different strategic goals for firms managing in competitive and monopolistic environments.
About
In this module, students will gain the capacity to appropriately apply abroad repertoire of communication skills in business, professional, and social contexts. Throughout the module, students will critically analyse managerial communication skills required for leadership in a wide variety of industries. It considers the varied means of communication including writing, speaking, and calling, and generally appearing professional. The communication requirements of different contexts are studied, including informational, persuasive, and relational forms of communication
Teachers
Intended learning outcomes
About
In this module, students will develop specialised and multi disciplinary capacities to generate creative solutions and alternatives to existing business issues by refining their ability to lead processes that stimulate and manage creativity in a business. Students will reflect critically on templates and methods for designing, implementing, and assessing processes that introduce creativity to real work situations. The module will engage with both the theoretical frameworks and practical methods or tools for cultivating practices of creativity in response to real business challenges.Ultimately, the module cultivates skills for autonomous managers to lead creative projects, people, and ventures, and to oversee the processes thatkeep them on track.
Teachers
Intended learning outcomes
About
In general terms, financial accounting is the measurement of economic activity for decision-making. Financial statements are a key product of this measurement process and an important component of firms’ financial reporting activities.The objective of this module is to help students become intelligent readers of the financial reports of most publicly traded companies.Students will learn the development, analysis, and use of these reports by focusing on what these reports contain, what assumptions and concepts accountants use to prepare them, and why they use those assumptions and concepts. A solid understanding of the fundamentals covered in this module should enable students to do well in more advanced finance and accounting courses and to interview intelligently for jobs in finance, consulting, and general management.The module begins with the basic concepts of accounting. Students will analyse the main financial statements: balance sheet, income statement, statement of cash flows, and statement of stockholders’ equity. Particular attention is paid to how these four statements relate to each other and how they provide information about the operating performance and financial health of a company. The module also covers specific items from the financial statements and applies tools of analysis whenever possible.
Teachers
Intended learning outcomes
- Select topics related to assets, liabilities, and equities.
- Critical knowledge of the relationship between cash and accrual accounting.
- Varying scholarly views on when to set an allowance using a balance sheet or income statement approach.
- Specialised knowledge of factors determining when to capitalise or expense.
- Interpret balance sheets, income statements, and statement cash flows.
- Apply ratio analysis to companies in different industries and perform a critical assessment of their performance based on limited or incomplete information.
- Prepare simple journal entries, ledgers, trial balances, and end-of-period adjusting entries.
- Prepare simple financial statements and explain their significance to internal and external audiences.
- Assess and analyse companies’ strategic engagement in earnings management activities.
- Explain how components of financial statements are linked together.
- Understand, interpret, and describe how business activities are captured by financial statements.
- Makes judgments in assessing how a given financial statement analysis is tied to valuation.
- Identify issues related to revenue recognition.
About
This course covers core concepts in accounting, finance, and microeconomics relevant to running a business. The course begins with finance for business, including the time value of money, the trade-off between risk and return, and arbitrage. It gives managers a strengthened knowledge in finance that can be applied in their professional careers. The topics covered include how to move cashflows in time, the methods and principles of capital budgeting, valuation of bonds and stocks, how to characterize risk and return, and options pricing with applications to managerial decisions.The course then builds on the student’s knowledge of finance to introduce accounting and examines the subject from the viewpoint of users external to the organization. Topics include transaction analysis; the accounting cycle; financial-statement preparation, use, and analysis; revenue recognition and cost measurement; present value; and problems in financial-accounting disclosure. This course concludes with microeconomic theory and its application to problems faced by managers. Topics include supply and demand, consumer behaviour, pricing when a firm has market power, and contracts.
Teachers
Intended learning outcomes
- Acquire knowledge of select topics for the advanced management of financial-statement preparation, use, and analysis.
- Develop a specialised knowledge of key strategies related to the accounting cycle.
- Critically understand the diverse scholarly views on revenue recognition and cost measurement.
- Critically assess the relevance of theories for business applications in the domain of accounting, finance, and economics.
- Develop a critical understanding of business accounting, finance, and economics.
- Assess, analyse, and criticise the various strategies for handling matters arising in the context of entrepreneurial finance and accounting.
- Apply an in-depth domain-specific knowledge and understanding to business accounting, finance, and economics.
- Autonomously gather material and organise it into a coherent financial statement, and be able to interpret financial statements.
- Efficiently manage interdisciplinary issues that arise in connection to the trade-off between risk and return.
- Demonstrate self-direction in research and originality in solutions for entrepreneurial finance and accounting.
- Act autonomously in identifying research problems and solutions related to business accounting, finance, and economics.
- Apply a professional and scholarly approach to research problems pertaining to the trade-off between risk and return.
- Solve problems and be prepared to take leadership decisions related to the methods and principles of capital budgeting.
- Create synthetic contextualised discussions of key issues related to revenue recognition and cost measurement.
About
This module enables students to develop the skills and concepts needed to ensure the ongoing contribution of a firm's operations to its competitive position. It helps them to understand the complex processes underlying the development and manufacture of products as well as the creation and delivery of services. Throughout the module, students will receive a comprehensive overview of technology utilisation to drive a competitive advantage for company operations. Students explore various technology solutions for business process automation, including value proposition analysis across organisation functions. Specific topics addressed include process analysis; cross-functional and cross-firm integration; product development; information technology; and technology and operations strategy. Additionally, students will analyse how technology can be leveraged to improve product development during the four lifecycle phases. The module provides a detailed overview of the impact of technology on various operating models such as manufacturing, supply chain management, customer-facing, product development, and support functions.
Teachers
Intended learning outcomes
- Quality management practice in organisations and how total quality management and six-sigma facilitate organisational effectiveness
- Market and product research relevant to technology-based businesses.
- Assess technology architecture and infrastructure capabilities depending on various operating models.
- Understand and assess contemporary operations and manufacturing organisational approaches and supply-chain management activities and the renewed importance of this aspect of organisational strategy.
About
Increases in product variety and customization in the past few years have posed challenges to firms in terms of delivering products to customers faster and more efficiently. With the prevalence of the usage of the internet for business, electronic business transformations are occurring inevery business. One of the fundamental enablers of electronic commerce is effective supply chain management. Thus, supply chain management has become the focus of attention of senior management in the industry today.This module considers management of a supply chain in a global environment from a managerial perspective. The focus is on analysis, management, and improvement of supply chain processes and their adaptation to the electronic business environment. The module focuses on six topics: Inventory and Information Management; Distribution and Transportation; Global Operations; Supplier Management; Management of Product Variety; and Electronic Supply Chains. Several new concepts including Prognostic Supply Chains, Build-to-Order, CollaborativeForecasting, Delayed Differentiation, Cross Docking, Global Outsourcing, and Efficient Consumer Response will also be discussed. At the end of the module, a student will have the necessary tools and metrics to evaluate a current supply chain and recommend design changes to supply chain processes
Teachers
Intended learning outcomes
About
This module is designed to achieve an understanding of fundamental notions of data presentation and analysis and to use statistical thinking inthe context of business problems. The module addresses modern methods of data exploration (designed to reveal unusual or problematic aspects of databases), the uses and abuses of the basic techniques of inference, and the use of regression as a tool for management and for financial analysis. The potential ethical issues related to each topic will be reviewed. Socially and environmentally relevant data will be utilised throughout the module.The goal of the module is not to turn students into statisticians but to enable them to appreciate the use of probability in assessing evidence and making decisions, and to be statistically literate consumers of quantitative information generated by economists, biomedical researchers, psychologists, statisticians, survey researchers, and other experts.
Teachers
Intended learning outcomes
Tier 2:
750 hours | 30 ECTS
Tier 2:
About
This course builds on foundational AWS knowledge, diving deeper into the platform's sophisticated features and services. Students will explore advanced networking configurations, security and compliance measures, and serverless architectures. Emphasis will be placed on practical applications, allowing students to design and implement complex AWS architectures, automate infrastructure management with Infrastructure as Code (IaC) tools, and optimize costs for scalable solutions.In addition to technical skills, the course covers advanced topics in containerization, orchestration with AWS services, and the development of continuous integration/continuous deployment (CI/CD) pipelines. Students will gain hands-on experience through labs and projects that simulate real-world scenarios, ensuring they can effectively deploy, manage, and scale applications on AWS. By the end of the course, students will be proficient in leveraging AWS's full potential to meet specific business requirements, ensuring security, compliance, and cost-efficiency in cloud environments.
Teachers
Intended learning outcomes
- Explain the concept of serverless architecture and its advantages for scalability and cost management in different workflows.
- Identify and differentiate between high availability and disaster recovery solutions offered by AWS for ensuring application resilience.
- Describe advanced AWS services for container orchestration (ECS), continuous integration/delivery (CodePipeline), and serverless computing (Lambda).
- Design and implement serverless functions using AWS Lambda for specific application functionalities, triggering them based on events.
- Utilize AWS tools for monitoring and logging (CloudWatch) to analyze application performance and troubleshoot issues in the cloud environment.
- Deploy and manage containerized applications on Amazon ECS, integrating with CI/CD pipelines for automated deployments.
- Develop and deploy a CI/CD pipeline using AWS CodePipeline to automate the build, test, and deployment process for complex applications within the cloud.
- Configure and integrate high availability and disaster recovery solutions within an AWS infrastructure to ensure application uptime and data integrity.
- Design and implement a serverless architecture for a specific application use case, considering scalability and cost-efficiency.
About
In this module we will discuss general approaches to the construction of efficient solutions to problems. Such methods are of interest because:They provide templates suited to solving a broad range of diverse problems.They can be translated into common control and data structures provided by most high-level languages.The temporal and spatial requirements of the algorithms which result can be precisely analyzed. This course will provide a solid foundation and background to design and analysis of algorithms. In particular, upon successful completion of this course, students will be able to understand, explain and apply key algorithmic concepts and principles, which might include:Greedy algorithms (Activity Selection, 0-1 Knapsack Problem, Fractional Knapsack Problem)Dynamic programming (Longest Common Subsequence, 0-1 Knapsack Problem)Minimum Spanning Trees (Prim’s Algorithm, Kruskal’s Algorithm)Graph Algorithms (Dijkstra’s Shortest Path Algorithm, Bipartite Graphs, Minimum Vertex Cover) Although more than one technique may be applicable to a specific problem, it is often the case that an algorithm constructed by one approach is clearly superior to equivalent solutions built using alternative techniques. This module will help students assess these choices.
Teachers
Intended learning outcomes
- Acquire knowledge of various methods for optimizing algorithm design.
- Critically assess the relevance of theories of algorithmic performance for business applications in the domain of software engineering.
- Develop a critical knowledge of important algorithmic concepts and principles, such as greedy algorithms, dynamic programming, minimum spanning trees, and graph algorithms.
- Critically evaluate diverse scholarly views on the appropriateness of various algorithmic concepts to software development problems.
- Develop a specialised knowledge of describing, analysing, and evaluating algorithmic performance in time and space.
- Compare and evaluate the different methodologies recommended in scholarly sources pertaining to how managers should handle evaluating algorithmic performance.
- Creatively apply various programming methods to most efficiently design algorithms for specified time and space constraints.
- Autonomously gather material and organise it into a coherent presentation or essay.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Apply an in-depth domain-specific knowledge and understanding of efficiency to algorithmic designs.
- Propose appropriate solutions to complex and changing problems pertaining to problem-solving in software development.
- Assess, analyse, and criticise the various strategies for evaluating algorithmic cost arising in the context of computational problem-solving.
- Demonstrate self-direction in research and originality in solutions developed for solving problems related to algorithmic design.
- Create synthetic contextualised discussions of key issues related to the efficient construction of algorithms.
- Apply a professional and scholarly approach to research problems pertaining to the comparative performance of algorithms.
- Efficiently manage interdisciplinary issues that arise in connection to the performance of algorithms and data structures in time and space.
- Solve problems and be prepared to take leadership decisions related to selecting the most appropriate algorithm for a software engineering problem.
- Act autonomously in identifying research problems and solutions related to the real-world application of common controls and data structures in high-level programming languages.
About
This course provides a dive deep into more advanced concepts in server-side programming using Node.js to enable initiative, real-time and scalable web applications. We dive into threading and thread pools in Node.js and how they can be leveraged to build more responsive web apps. We learn socket programming using socket.io and Node.js for instant messaging, document collaboration, real time analytics and streaming applications. Students also learn to use Caching using distributed in-memory key-value stores (like Redis) to rescue latency while serving web-apps. Students also learn how to use Node.js with popular NoSQL data stores like MongoDB for storing unstructured data. We also cover GraphQL which is an open source data query and manipulation language for APIs, which is gaining popularity more recently. We learn popular protocols like OAuth to enable cross platform logins. Students also learn the architecture and practical aspects of Web-RTC to enable multimedia applications like video-chat, live-streaming, music-streaming etc.
Teachers
Intended learning outcomes
- Critically assess the relevance of theories for business applications in the domain of technology.
- Develop a critical knowledge of Advanced Back end Development.
- Critically evaluate diverse scholarly views on Advanced Back end Development.
- Acquire knowledge of threading and thread pools in Node.js and how they can be leveraged to build more responsive web apps.
- Develop a specialised knowledge of key strategies related to Advanced Back end Development applications.
- Autonomously gather material and organise it into coherent problems sets or presentations.
- Assess, analyse, and criticise the various strategies for handling matters arising in the context of Advanced Back end Development.
- Creatively utilize Advanced Back end Development applications to develop critical and original solutions for computational problems.
- Apply an in-depth domain-specific knowledge and understanding to Advanced Back end Development solutions.
- Compare and evaluate the different methodologies recommended in scholarly sources pertaining to how managers should handle Advanced Back end Development.
- Propose appropriate solutions to complex and changing problems pertaining to Advanced Back end Development.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Efficiently manage interdisciplinary issues that arise in connection to Advanced Back end Development.
- Apply a professional and scholarly approach to research problems pertaining to Advanced Back end Development.
- Create synthetic contextualised discussions of key issues related to Advanced Back end Development.
- Solve problems and be prepared to take leadership decisions related to the methods and principles of Advanced Back end Development.
- Act autonomously in identifying research problems and solutions related to Advanced Back end Development.
- Demonstrate self-direction in research and originality in solutions developed for Advanced Back end Development.
About
No description available.
Teachers
Intended learning outcomes
- Develop a specialised knowledge of key strategies related to design and analysis of algorithms.
- Acquire knowledge of various algorithmic design methods.
- Critically evaluate diverse scholarly views on design and analysis of algorithms.
- Acquire knowledge of various algorithmic design methods.
- Efficiently manage interdisciplinary issues that arise in connection to design and analysis of algorithms.
- Demonstrate self-direction in research and originality in solutions developed for design and analysis of algorithms.
- Assess, analyse, and criticise the various strategies for handling matters arising in the context of design and analysis of algorithms.
- Compare and evaluate the different methodologies recommended in scholarly sources pertaining to how managers should handle algorithmic design methods.
About
This is a project-based course, with the aim of building the required skills for creating web-based software systems. The course covers the entire lifecycle of building software projects, from requirement gathering and scope definition from a product document, to designing the architecture of the system, and all the way to delivery and maintenance of the software system. The course covers both frontend, which is, building browser-based interfaces for users, using frontend web frameworks, and also building the backend, which is the server running an API to serve the information to the frontend, and running on an SQL or similar database management system for storage. All aspects of delivering a software project, including security, user authentication and authorisation, monitoring and analytics, and maintaining the project are covered. The course also covers the aspects of project maintenance, like using a version control system, setting up continuous integration and deployment pipelines and bug trackers.
Teachers
Intended learning outcomes
- Critically evaluate diverse scholarly views on modern computational applications.
- Critically assess the relevance of theories for business applications in the domain of technology.
- Develop a critical knowledge of modern computational applications.
- Acquire knowledge of an end-to-end deployable solution to a real-world computational problem.
- Develop a specialised knowledge of key strategies related to modern computational applications.
- Assess, analyse, and criticise the various strategies for orchestrating and deploying a software to the cloud.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Compare and evaluate the different methodologies recommended in scholarly sources pertaining to data schema design.
- Autonomously gather material and organise it into coherent problem sets or presentations.
- Propose appropriate solutions to complex and changing problems of software maintenance in real-world engineering and science contexts.
- Creatively apply computational applications to develop critical and original solutions for computational problems.
- Apply an in-depth domain-specific knowledge and understanding of modern day computational applications.
- Solve problems and be prepared to take leadership decisions related to developing and deploying cloud-oriented software solutions.
- Efficiently manage interdisciplinary issues that arise in connection to deploying a modern, web-based system.
- Apply a professional and scholarly approach to research problems pertaining to real-world computational complexities.
- Act autonomously in identifying research problems and solutions related to modern computational tools and methods.
- Create synthetic contextualised discussions of key issues related to real-world software design, implementation, and deployment situations.
- Demonstrate self-direction in research and originality in solutions developed for robust and reliable cloud deployments.
Specializations
Specialization certificate in Specialization 1
750 hours | 30 ECTS
Specialization certificate in Specialization 1
About
No description available.
Teachers
Intended learning outcomes
STCA Test - Master of Business Administration
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