Master of Business Administration in Data Analytics
Master of Business Administration in Data Analytics
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Master of Business Administration in Data Analytics
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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/
Master of Business Administration in Data Analytics
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What you'll learn
- Apply advanced, innovative, and multi-disciplinary problem-solving skills.
- Communicate business plans clearly and unambiguously to specialised and non-specialised audiences.
- Demonstrate 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.
- Exhibit 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 innovative solutions and improve business outcomes by aligning technological capacity of the organisation/business with high-impact leadership.
- Evaluate and communicate the impact of ESG standards and corporate governance practices on business operations, demonstrating sound judgement in recommending strategic initiatives that promote sustainability, risk management, and long-term value creation in diverse corporate settings.
Master of Business Administration in Data Analytics
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Course Structure
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
- Key strategies for effective delegation.
- Critical knowledge of business leadership strategy.
- Why improvements in the general strategy and techniques of managing people can produce outcomes more significant than isolated improvements to employee performance.
- The relevance of theories of management and concepts of delegation and performance tracking.
- Select topics for the advanced management of human resources.
- Autonomously gather material and organise it into a coherent, comprehensive presentation.
- Communicate an in-depth domain-specific knowledge and understanding to business leadership and strategy.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of business leadership and strategy including: • Assessing the resources of a team to show how those resources could be used to achieve business outcomes. • Assessing the performance of a team to show whether they are on track to meet business goals.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Efficiently manage interdisciplinary issues that arise when assessing human resources and delegating effectively to achieve business goals.
- Apply a professional and scholarly approach to research problems pertaining to the effective use of team resources and delegation of personnel.
- Solve problems and be prepared to take leadership decisions related to business leadership and strategy.
- Create synthetic contextualised discussions of key issues related to leadership and management strategy.
- Act autonomously in identifying research problems and solutions related to business leadership and strategy.
- Demonstrate self-direction in research and originality in solutions for management and leadership.
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 in every 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, Collaborative Forecasting, 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
- A critical knowledge of the increasing importance of supply chain management in today’s business environment.
- A specialised knowledge of the global outlook that reflects changes experienced and anticipated by firms and industries and the requirements for effective change management in operations and supply chains.
- Define and assess the significance of logistics as it relates to transportation and warehousing.
- Demonstrate the use of effective written and oral communications, critical thinking, team building, and presentation skills as applied to business problems.
- Design management plans for global supply chains that are lawful, ethical, and environmentally and socially responsible.
- Utilise management skills such as negotiating, working effectively within a diverse business environment, ethical decision-making, and use of information technology.
- Align the management to supply chains with corporate goals and strategies.
- Use concepts of operations and supply chain management and qualitative and quantitative methods to make decisions in business contexts that include new and unfamiliar situations.
- Analyse and improve supply chain processes.
- Use and apply computer-based supply chain optimization tools including the use of selected state-of-the-art supply chain software suites currently used in business.
- Analysing current supply chain management trends and their relevance for specific markets, industries, or organisations.
- Apply current supply chain theories, practices, and concepts utilising case problems and problem-based learning situations.
About
This module will approach leadership by identifying practices that researchers and practitioners have shown to be the most effective. Through these processes, students will gain a broad range of skills.
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 competencies, focusing 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.
Specific topics covered include managing a diverse workforce; self-leadership; perception pitfalls; decision making; conflict resolution; emotional intelligence; improving performance; team structure.
Teachers
Intended learning outcomes
- Critical knowledge of business leadership strategy.
- Select topics for the advanced management of human resources.
- Analyse and assess theories of management and concepts of delegation and performance tracking.
- Specialised knowledge of key strategies for effective delegation.
- Strategies for improving general strategy and techniques of managing people to produce outcomes more significant than isolated improvements to employee performance.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Autonomously gather material and organise it into a coherent, comprehensive presentation.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of business leadership and strategy including: Assessing the resources of a team to show how those resources could be used to achieve business outcomes; assessing the performance of a team to show whether they are on track to meet business goals.
- Communicate an in-depth domain-specific knowledge and understanding of business leadership and strategy.
- Create critical and contextualised understandings and discussions of key issues related to leadership and management.
- Solve problems and be prepared to take leadership decisions related to business leadership and strategy.
- Efficiently manage interdisciplinary issues that arise when assessing human resources and delegating effectively to achieve business goals.
- Demonstrate self-direction in research and originality in solutions for management and leadership problems.
- Identifying research problems and solutions related to business leadership and strategy.
- Apply a professional and scholarly approach to research problems pertaining to the effective use of team resources and delegation of personnel.
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 cash flows 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
- Develop a specialised knowledge of key strategies related to the accounting cycle.
- Critically assess the relevance of theories for business applications in the domain of accounting, finance, and economics.
- Critically understand the diverse scholarly views on revenue recognition and cost measurement.
- Develop a critical understanding of business accounting, finance, and economics.
- Acquire knowledge of select topics for the advanced management of financial-statement preparation, use, and analysis.
- Creatively apply microeconomic theory to develop critical and original solutions for the challenges of business economics.
- Propose appropriate solutions to complex and changing problems pertaining to business accounting, finance, and economics.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Assess, analyse, and criticise the various strategies for handling matters arising in the context of entrepreneurial finance and accounting.
- Compare and evaluate the different methodologies recommended in scholarly sources pertaining to how managers should handle business accounting, finance, and economics.
- Communicate clearly about business finance, accounting, and microeconomics in the context of managerial decisions.
- Autonomously gather material and organise it into a coherent financial statement, and be able to interpret financial statements
- Apply an in-depth domain-specific knowledge and understanding to business accounting, finance, and economics.
- 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.
- 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.
- 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.
About
This module is designed to achieve an understanding of fundamental notions of data presentation and analysis and to use statistical thinking in the 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
- Critical awareness of the fundamental methods of statistics (sampling, correlation, and regression) and the essential concepts of statistical thought (probability distributions, estimation, hypothesis testing, and decision theory), at a level beyond undergraduate studies and responsive to managerial contexts.
- A specialised understanding of the limitations of statistical inference and of the ethics of data analysis and statistics, especially in business situations.
- Determine sample size for given levels of confidence and margins of error.
- Test for consistency of data with particular values of parameters.
- Interpret computer output and use it to solve problems.
- Construct and use descriptive statistics, graphs, charts, and tables to analyse data sets.
- Integrate statistical analysis in a decision-making process.
- Interpret linear association and conduct simple linear regression data analysis.
- Apply correctly a variety of statistical techniques, both descriptive and inferential.
About
In this module students will gain the capacity to understand how firms work in a global context, incorporating a broad, future-oriented, systems-based approach that incorporates data, information and insights from diverse perspectives and sources. This module is designed to convey the key concepts of strategic thinking and how they fit into the larger context of management strategy and decisions. Students will be presented with both the practical “how” and the fundamental “why” in the light of contributions from behavioural science, economics, and statistics.
Teachers
Intended learning outcomes
- Critical knowledge of the role of strategic thinking in scenario planning.
- The relevance of theories of strategy implementation for business applications
- Select topics for the advanced management of future-oriented, systems-based strategic planning.
- Key strategies for applying integrative and strategic thinking to business.
- Diverse scholarly views on the role of strategic thinking as a core competency developed by managers.
- Apply an in-depth domain-specific knowledge and understanding to integrative and strategic thinking in business.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of integrative and strategic thinking in business by engaging in scenario planning.
- Autonomously gather material and organise it into a coherent, comprehensive presentation of a strategic plan with implementation strategy.
- Solve problems and be prepared to take leadership decisions related to integrative and strategic thinking in business
- Act autonomously in identifying research problems and solutions related to a broad, future-oriented, systems-based strategic plan.
- Demonstrate self-direction in research and originality in solutions developed.
- Create synthetic contextualised discussions of key business issues related to integrative and strategic thinking.
- Apply a professional and scholarly approach to research problems of developing strategies for a global context.
- Efficiently manage interdisciplinary issues that arise when assessing the implementation of a strategic plan.
About
Managers require a broad array of negotiating skills to implement business solutions – this requires advanced knowledge of negotiation models, the competence to select the right strategy, and the tactical skills to achieve desired outcomes through negotiation
In addition to studying key negotiation theories, the module develops skills in negotiation, providing students with the opportunity to test and improve their abilities through discussions that model negotiation scenarios, through the use of case studies, and through reflection and feedback.
Students will review and test various approaches to negotiated conflict resolution (at small personal scales and large organisational scales). The module builds competencies in developing an effective professional and personal style of negotiation.
Teachers
Intended learning outcomes
- Key strategies that have been developed for applying negotiation strategies to business scenarios.
- Topics for the advanced management of business negotiations.
- Theoretical negotiation models for diverse business situations.
- Diverse scholarly views on the role of negotiations in business outcomes.
- Negotiation models and key tactical steps.
- Apply in-depth domain-specific knowledge and understanding to business negotiations.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of business negotiations.
- Test and improve their abilities through group discussions that model negotiation scenarios.
- Autonomously gather material and organise it into a coherent, comprehensive presentation on negotiation.
- Be prepared to take leadership decisions related to business negotiations.
- Efficiently manage interdisciplinary issues that arise in connection with running a business and handling business negotiations.
- Apply a professional and scholarly approach to theories and case studies of business negotiations.
- Create synthetic contextualised discussion of key issues related to business negotiations.
- Demonstrate the competence to select a fitting negotiation strategy for specific situations.
- Demonstrate self-direction in research and originality in assessing and proposing negotiation strategies.
About
In this module, students will develop specialised and multidisciplinary 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 that keep them on track.
Teachers
Intended learning outcomes
- Topics and theories for the advanced management of business creativity and innovation.
- Theories of innovation for real business applications.
- Key strategies, including templates, that foster creativity, and innovation in business.
- Diverse scholarly views on the role of creativity and innovation in a business, and the methods of cultivating it -including diversity of personnel, and the role of co-creation in innovation.
- Critical knowledge of business creativity and innovation.
- Autonomously gather material and organise it into a coherent, comprehensive presentation on the role of innovation in business and key strategies for cultivating it.
- Employ the standard modern conventions in presentations of scholarly work and scholarly referencing in discussions of business innovation.
- Apply in-depth domain-specific knowledge and understanding to business creativity and innovation.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of business creativity and innovation.
- Apply a professional and scholarly approach to research problems pertaining to creativity and innovation.
- Demonstrate self-direction in research and originality in solutions developed.
- Create synthetic contextualised discussions of key issues related to creativity and innovation in the workplace.
- Efficiently manage interdisciplinary aspects of assessing templates and plans for cultivating creativity and innovation.
- Act autonomously in identifying research problems and solutions related to business creativity and innovation.
- Solve problems and be prepared to take leadership decisions related to business creativity and innovation.
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 to do 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
- 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.
- Has specialised knowledge of techniques for production and cost analysis.
- Performs critical evaluations of business environments in order to model relevant markets.
- Analyse and communicate the relevance of gross domestic product and its components for a given market.
- Analyse and take leadership decisions in a fast-changing environment about monetary policy and the supply and demand for money.
- 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.
- Research the determinants of market demand and supply in a given industry.
- Have the autonomy to recognise and describe the different strategic goals for firms managing in competitive and monopolistic environments.
About
The role of marketing management in organisations is to identify and measure the needs and wants of consumers, to determine which targets the business can serve, to decide on the appropriate offerings to serve these markets, and to determine the optimal methods of pricing, promoting, and distributing the firm’s offerings. Successful organisations are those that integrate the objectives and resources of the organisation with the needs and opportunities of the marketplace. The goal of this module is to facilitate student achievement of these goals regardless of career path.
This module addresses how to design and implement the best combination of marketing efforts to carry out a firm's strategy in its target markets. Specifically, this module helps to develop the student's understanding of how the firm can benefit by creating and delivering value to its customers, and stakeholders, and develop skills in applying the analytical concepts and tools of marketing to such decisions as segmentation and targeting, branding, pricing, distribution, and promotion.
Teachers
Intended learning outcomes
- Strategic issues facing today's managers in a dynamic competitive environment.
- Factors determining selection of which businesses and segments to compete in.
- The role of channels, channel partners, and other intermediaries in delivering products, services, and information to customers.
- Allocate resources across businesses, segments, and elements of the marketing mix.
- Apply marketing concepts to real-life marketing situations.
- Make and defend marketing decisions in the context of real-world problem situations with incomplete information.
- Formulate and implement marketing strategies for brands and businesses.
- Make cross-functional connections between marketing and other business areas.
- Assess market potential.
- Classify and analyse customer segments, to develop effective marketing strategy.
- Critically analyse the tasks of marketing and examine the major functions that comprise the marketing task in organisations.
About
The objective of this module is to provide students the basic data analysis and modelling concepts and methodologies using probability theory. Basic statistics concepts and probability concepts will be covered. Fundamental data analysis and hypothesis techniques will be covered. Further data modelling methodologies such as Hidden Markov Models and Bayesian networks will be introduced.
Students successfully completing this module will have gained a solid understanding of probabilistic data modelling, interpretation, and analysis and thus have formed an important basis to solve practical statistics and data analysis-related problems arising in real-world business situations. The techniques discussed are applied in all functional areas within business organisations including accounting, finance, human resource management, marketing, operations, and strategic planning.
Teachers
Intended learning outcomes
- Select topics in acquiring and cleaning data.
- A critical understanding of varying scholarly perspectives on measuring fit and performance of models appropriately.
- A specialised knowledge of various data warehousing architectures, processes, and operations.
- Researching, evaluating, and selecting appropriate mathematical and statistical tools for data analytics problems.
- Identify and interpret the data relevance, reliability, and validity from multiple sources.
- Construct complex statistical models.
- Build and assess data-based models.
- Describe the business intelligence methodology and concepts and relate them to decision support.
- Integrate data from disparate sources.
- Execute statistical analyses with professional statistical software.
- Demonstrate proficiency with statistical analysis of data.
- Apply data science concepts and methods to solve problems in real-world business contexts and communicate these solutions effectively.
- Proficient in solving business problems by identifying data gaps and synthesising data to deliver quality output.
- Use data visualisation tools to analyse data and produce reports.
- Research and utilise validated data to logically construct reports based on needs.
About
This module encompasses statistics, decision analysis, and simulation modelling.
Throughout the module, students will strengthen their capacity to lead individuals, teams, and organisations in processes that generate data-driven solutions to problems, data-driven insights into customer behaviour, and data-driven decision-making. This module provides the foundations of probability and statistics required for a manager to interpret large quantities of data and to make informed decisions under conditions of uncertainty, with incomplete information, and in both structured and unstructured settings. Theoretical topics include decision trees, hypothesis testing, multiple regression, Monte Carlo simulation, and sampling and estimation.
Teachers
Intended learning outcomes
- A critical understanding of the foundations of probability and statistics to the extent required for a manager to interpret large quantities of data and to make informed decisions under conditions of uncertainty.
- Relevant topics for the advanced management of data-driven insights into customer segments.
- Key theoretical topics pertaining to evidence-based decision-making such as decision trees, hypothesis testing, multiple regression, and sampling.
- Diverse scholarly views on evidence-based decision-making in a business context.
- Theories for business applications in the domain of evidence-based decision-making.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of evidence-based decision-making in a business context.
- Apply in-depth domain-specific knowledge and understanding to evidence-based decision-making in a business context.
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Autonomously gather evidence and organise it into a coherent, comprehensive presentation advocating an evidence-based decision.
- Apply a professional and scholarly approach to data and evidence as factors in decision-making.
- Act autonomously in identifying research problems and solutions related to evidence-based decision-making in a business context.
- Solve problems and be prepared to take leadership decisions related to evidence-based decision-making in a business context.
- Demonstrate self-direction in gathering and using evidence and data for decision-making.
- Create synthetic contextualised discussions of key issues related to evidence-based decision-making.
- Efficiently manage interdisciplinary and diverse kinds of evidence that inform decision-making.
About
This module introduces students to one of the world’s most widely used and in-demand programming languages and its specific applications to business analytics. Python is used in a wide range of fields, including web development, data science, fin-tech, health care, and more. With Python, business leaders can scrape online sources to determine consumer sentiment, automate tasks, run advanced models, and export code across different applications.
Throughout the module will develop the following skills: Apply programmatic logic to complex business problems in areas such as finance, operations, and marketing; Use technical knowledge to lead and manage teams in today’s evolving digital economy; Leverage state-of-the-art tools and powerful, open-source Python libraries to clean, analyse and visualise data.
Teachers
Intended learning outcomes
- Analyse and assess various scholarly views on the practical applications of machine learning models in data analytics.
- Specialised knowledge of data processing with Python language.
- A critical understanding of various Python libraries and their applicability to real-world business situations.
- Analyse and read Python data using datasets.
- Write Python code to read, write, filter, merge, summarise, and graph a given dataset.
- Independently build data models.
- Predict the results of various Python codes.
- Analyse data from a variety of industries and uncover business insights.
- Derive hidden information from voluminous and complex data.
- Communicate effectively the purpose, methodology, and results of an analysis involving Python to a non-technical business audience.
- Describe and perform Python data acquisition and analysis techniques.
About
This course synthesises the multifaceted skills, knowledge, and strategic thinking acquired throughout the program, challenging participants to apply their expertise to real-world business challenges. Under the guidance of seasoned mentors and industry professionals, students will undertake a comprehensive, hands-on project that requires them to integrate concepts from various disciplines within the curriculum. From strategic planning and financial analysis to organisational leadership and ethical decision-making, the Capstone Project serves as a comprehensive test of the holistic business acumen developed during the program. Participants will not only hone their problem-solving abilities but will also demonstrate their ability to develop actionable solutions that align with contemporary business challenges. As a capstone experience, this course not only underscores the depth of knowledge gained during the program but also empowers participants to showcase their readiness to contribute meaningfully to the complex landscape of modern business. Elevate your strategic thinking, analytical prowess, and leadership skills as you embark on this transformative journey toward earning your degree.
Teachers
Intended learning outcomes
- Critical knowledge of a contemporary business problem.
- Diverse scholarly views on a contemporary business problem.
- Theories for business applications in the pursuit of a solution to a contemporary business problem.
- Topics for the advanced management of a contemporary business problem.
- Key strategies for applying creativity and leadership to a contemporary business problem.
- Creatively apply the theories learned in the module to develop critical and original solutions for the challenges of a contemporary business problem.
- Autonomously gather material and organise it into a coherent, comprehensive presentation.
- Apply an in-depth domain-specific knowledge and understanding to a contemporary business problem
- Employ the standard modern conventions for the presentation of scholarly work and scholarly referencing.
- Demonstrate self-direction in research and originality in solutions developed.
- Efficiently manage interdisciplinary issues that arise in connection with analysing and proposing a solution to a contemporary business problem.
- Apply a professional and scholarly approach to research problems pertaining to a contemporary business problem.
- Act autonomously in identifying research problems and solutions related to a contemporary business problem; act as a professional team member where appropriate.
- Solve problems and be prepared to take leadership decisions related to a contemporary business problem.
- Create synthetic contextualised discussions of key issues related to a contemporary business problem.
About
This comprehensive course is designed to equip participants with the knowledge, strategies, and confidence needed to navigate the intricacies of job interviews successfully. Participants will gain a deep understanding of the interview process, learning how to effectively communicate their strengths, experiences, and accomplishments to make a lasting impression on prospective employers.
Throughout the course, participants will engage in mock interviews, receive personalised feedback, and learn proven techniques for handling common interview questions. From mastering body language and crafting compelling narratives to addressing potential challenges, the course provides a holistic approach to interview success. Whether you are a recent graduate entering the job market or a seasoned professional looking to advance in your career, this course will empower you with the tools to stand out in interviews and secure the job opportunities you aspire to. It will elevate the interview performance and unlock career potential with this invaluable skill-building experience.
Teachers
Intended learning outcomes
- Analyse employer expectations during the interview process, focusing on industry-specific competencies and soft skills.
- Identify key elements of successful interviews, including research, communication, and presentation techniques.
- Explain common interview formats and strategies, such as behavioural, situational, and panel interviews.
- Communicate effectively in simulated interview settings, applying advanced techniques such as non-verbal cues, confident speech, and professional demeanour to leave a positive impression on interviewers.
- Understand how to structure responses to common interview questions, demonstrating clarity, relevance, and alignment with the role's requirements.
- Use judgement in tailoring interview strategies by analysing job descriptions and organisational culture to prepare targeted responses that showcase relevant skills and experience.
- Ensure a professional and polished presentation throughout the interview process, from preparation to follow-up, enhancing personal branding.
- Demonstrate confidence and adaptability during interviews, showcasing an ability to handle complex questions and unpredictable scenarios.
- Foster self-awareness and continuous improvement, using feedback and reflection to refine interview techniques and career growth strategies.
About
In this dynamic and interactive course, participants will embark on a transformative journey to enhance their soft skills, crucial for personal and professional success in today's dynamic work environment. The course delves into the multifaceted realm of interpersonal skills, communication, teamwork, and adaptability. Through a combination of theoretical insights, practical exercises, and real-world scenarios, participants will develop a profound understanding of the significance of soft skills in fostering effective collaboration and navigating the complexities of the modern workplace. Moreover, the Soft Skills course goes beyond traditional instruction, providing a comprehensive framework for self-discovery and improvement. Participants will engage in activities that not only refine their communication style but also empower them to cultivate emotional intelligence, resilience, and leadership acumen. By the end of the course, participants will have honed the essential soft skills needed to thrive in diverse professional settings, empowering them to build lasting relationships, contribute meaningfully to team dynamics, and stand out as adaptable and emotionally intelligent leaders in their respective fields.
Teachers
Intended learning outcomes
- Explain the role of interpersonal skills in leadership, conflict resolution, and collaboration within a business setting.
- Analyse different communication styles and their impact on team dynamics and organisational performance.
- Recognise the fundamental components of soft skills, including communication, teamwork, and emotional intelligence.
- Exercise judgement in adapting communication styles to diverse business contexts, such as team meetings, presentations, and negotiations.
- Communicate complex business ideas clearly and persuasively, tailoring the message for different stakeholders and organisational levels.
- Understand how to apply active listening techniques in professional interactions, ensuring effective communication and empathy.
- Ensure consistent application of emotional intelligence in decision-making, enhancing team performance and conflict resolution.
- Foster an environment of continuous personal and professional growth, promoting adaptability and resilience within the organisation.
- Demonstrate effective leadership through fostering collaboration and positive work culture, ensuring team cohesion and shared goals.
Master of Business Administration in Data Analytics
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