MBA with Data Analytics

Programme Overview

This module is a continuation of Research Methods for Business and Management I in which the student will complete the project or dissertation presented in the first module. 

Programme Overview

This module will challenge students by introducing them to making business decisions using data analysis. Data analysis is the use of statistics combined with analytical methods to give insights into a business. After starting with a refresher on basic statistics, students will learn how to create statistical experiments to create a process for decision-making. These experiments will use methods such as regression and optimisation to determine the optimal business decisions. The analysis of these experiment outcomes will give you a deeper insight into your business units. This will result in an increase in your ability to add value to your organisation. 

Programme Overview

Over the years, organisations have accumulated a vast amount of data in their enterprise-wide information systems. These data typically represent daily operations and transactions within a business context. Organisations rely on computer-based information systems for capturing, analysing, and distributing the information required to develop, implement, and evaluate strategies in all functional areas. Managing data as a corporate resource requires an understanding of business processes and of the underlying structure of the data needed to support them. Business intelligence (BI) is the process of collecting and turning this resource into Business value. 

The course provides an introduction to decision-making and technologies used to support organisational decision-making. (BI), which uses historical data to better understand and thereby improve business performance, as well as create new strategic opportunities for growth. Part of this process is to display the results in graphical images for easier understanding. This course will provide an understanding of data organisation, and examine the BI processes and techniques used in transforming data into knowledge and value. Various functions and applications of business intelligence are described, including but not limited to reporting, online analytical processing, data visualization and business process management.

Programme Overview

This module offers an in-depth understanding of Data Mining and Strategic Management techniques for improving business decision-making. Through an examination of data mining and machine learning terminology and techniques, students will be introduced to data blending and wrangling concepts applicable to formulating a strategic data management plan. The challenge is to select the appropriate method. Students will learn to use and design data mining-based solutions to solve “real-time” business problems. 

Students will explore the strategic planning concept for using decision support systems or hybrid platforms when wrangling NoSQL and text data. The coursework will explore data mining concepts for blending unstructured data sets or working with semi-structured data using the Extract, Load, Transform (ELT) process. Also, students will briefly examine automated processes, like Extract Transformation and Load (ETL) or loading data sets as use cases. This course will theorize on data optimisation techniques for using machine learning and artificial intelligence for deep learning of the data. 

Finally, students will conduct statistical data modeling used in predictive and descriptive analysis such as classification trees, segmentation, clustering, and perform basic exploratory data analysis with Excel to create data analytical presentation projects.

Programme Overview

This module introduces a wide range of economic concepts, theories and analytical techniques. It considers of the fundamentals of supply and demand, the microeconomic theory of the firm, the macroeconomic fiscal policy and monetary policy, and selected topics, such as international trade, financial markets, economic growth, and externalities, both positive and negative. The supply and demand model is the fundamental market model where trade-offs and choices are considered by comparing benefits and costs. Product and market structures, including perfectly competitive, monopolistically competitive, oligopolies, and monopolies, are analysed at the firm level. Macroeconomic issues of fiscal and monetary policy are explored at an aggregate level. Finally, selected topics in international trade, financial markets, economic growth, and positive and negative externalities are examined. 

Programme Overview

During this course, you will learn about the critical financial fundamentals necessary for managing an organisation’s operational activities and achieving its strategic goals. You will learn about the time value of money, investing in various instruments, making critical decisions regarding capital expenditures, and various methods for successfully capitalising the firm. Managing critical cash flows and allocation of financial assets are also discussed in detail from a managerial perspective.

Programme Overview

Many business decisions throughout every level of an organisation are based on the information found on the company’s financial statements. During this course, you will analyse how small and large process changes can increase organisational efficiency and profits through analysing information on the financial statements. In addition, you will explore how decisions made about capital projects, long-term investments, and a company’s risk aversion impact the bottom line.

Programme Overview

During this module, students will learn the skills and characteristics of an effective leader. Students will learn how to apply leadership skills during change and in multicultural and diverse environments. The common thread throughout the course will be leading with strong managerial ethics, emotional intelligence, and reflective leadership. The course will also examine the relationship between contemporary leadership issues and classical leadership theory.

Programme Overview

This module explores the design and implementation of the best combination of marketing efforts to carry out an organisation’s strategy in its target markets. You will develop an understanding of how an organisation can benefit by creating and delivering value to its customers, and stakeholders, and the skills in applying the analytical concepts and tools of marketing to such decisions as segmentation and targeting, branding, pricing, distribution, and promotion.

Programme Overview

You will gain a deep understanding of operations management and how it is critical to your success in any field, from consulting to entrepreneurship to general management. Detailed in this course are major problems and decision processes of operations management such as operations strategy, process and capacity planning, facilities planning, aggregate planning, materials planning, and quality planning. 

Programme Overview

This module is designed for students to develop a comprehensive understanding of research in general and business. Both academic business research and business consultancy research are addressed in the module. 

The module examines the concepts and theories underlying research, as well as the practice of research. The module has an applied focus. The readings and assignments are designed to identify a feasible research topic and develop a research proposal for academic business or business consultancy research. How research problems and questions may be identified, and the process of achieving thoughtful, effective and efficient research design are examined. The importance of the literature review and how it can be carried out for optimal effectiveness in research are investigated.

In addition, the module provides an overview of research methodologies and methods and the techniques of the research process as applied to business, whether as a business consultant or as an academic researcher. The philosophical and epistemological assumptions underpinning the research approaches and methodologies, as well as their role in determining the design and implementation of the research, are studied. Besides these aspects, the ethical aspects of research and consultancy are also addressed.