Masters in Business Analytics (Online MSc)
Masters in Business Analytics
The Online Masters in Business analytics focuses on analysing and interpreting data generated by organisations, and using these insights to improve business practices. The analysis of unstructured or structured data is driving industries forward and will define how business is conducted in the future.
The Masters in Business Analytics degree is developed in close partnership with industry experts, and can be pursued by students from any academic discipline. This Data analytics course is designed to equip students with the knowledge on how to use powerful visual programming and scripting tools, such as Python, Orange, R, and Power-BI. Students will learn how to deploy statistical analysis, text analytics, predictive analytics, and data-mining tools, to offer clear actionable solutions and influence overall business strategy.
The Online Masters in Business Analytics offers practical Data analytics exposure to students through a mix of case studies, computer simulations, projects, lectures and tutorials.
Benefits of a Masters in Business Analytics
The Online Masters in Business Analytics addresses the shortage of managers with business analytic skills. Graduating with a MSc Business Analytics opens up career possibilities in diverse areas such as Strategic Management, Operations Planning, CRM, Supply-Chain Management, Sustainability, or even Disruption and Change Management.
Students will gain the skills and knowledge to analyse and interpret data generated by businesses and effectively communicate these insights to increase efficiency in business processes. This Data analytics course answers the industry’s increasing demand for a pool of skilled graduates who can apply data science to solve business challenges.
MSc in Business Analytics graduates can aim for senior positions in roles requiring a sound understanding of business analytics and data-driven decision-making. These may include:
- Strategic Planning
- Sustainability analytics
- Customer Insight or Marketing Analytics
- Finance, Pricing or other technical analytics
- Operations management
- Data quality management
You’ll need a minimum of a second class Honours degree in any subject, or an equivalent qualification. However, you can still apply if you don’t have these formal qualifications, but bring
English language Requirements
Due to disruption in English Language testing caused by COVID-19, we are accepting alternative English Language tests (including online English Language Tests).
If English is not your first language we may require one of following qualifications as evidence of English language skills, however please contact your Stafford Higher Education Consultant for more English language options.
- IELTS Indicator 6.0 with a minimum of 5.5 in each sub-skill
- Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill
- Cambridge C2 Proficiency (CPE) 180 overall with a minimum of 162 in each sub-skill
- Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill
- IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
- IBT TOEFL Special Home Edition Test 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
- Trinity ISE II Pass overall with a Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills
- Aptis (4 skills) CEFR B2 overall and B2 in all sub-skills
- Duolingo 95 overall with a minimum of 90 in all sub-skills
- LanguageCert International ESOL B2 Communicator – Pass with minimum 33 in each sub-skill
Pre-sessional English language courses
If you need to improve your English language skills before you enter this course, our partner INTO University of Stirling offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for entry to this degree.
Personal & Professional Development
The MSc Data Science programme here at the University of Stirling addresses the acknowledged shortage of business leaders and managers with a detailed working knowledge of data analytics. The course gives you the opportunity to develop specialist skills, which will help close the gap. Your success within the field of Data Science is dependent on your ability to balance your technical skills with your ‘soft’ skills. The Personal and Professional Development (PPD) module on the Programme is designed to facilitate your self-awareness, communication, critical thinking, and team-working competences that are vital to becoming an effective and resilient manager within the field of Data Science. Throughout the module, students are encouraged to develop methods of critical reflection to continuously enhance and transform their professional competences. In doing so, they will develop strategies for managing their own learning/study needs and career progression.
Flying Start Leadership Programme
The University of Stirling Management School’s innovative Flying Start Leadership Programme engages postgraduate students in a wide range of activities at the beginning of their Course which challenges their perspectives of culture, explored their beliefs and values, builds their self-confidence, and encourages them to share their ideas.
Statistics with R
The module provides an introduction to Statistics and allows students to understand the fundamentals of Statistics and demonstrates how to apply various techniques to real data using R. In addition, the module allows students to actively be involved in a research project, providing them with experience in planning and conducting quantitative research that they can also benefit from other modules involving quantitative analysis. After taking the module, students will be able to conduct quantitative empirical research projects using R and take more advanced modules/topics in quantitative methods.
This module aims to develop the multi-disciplinary mix of skills required for the role of a business analyst. These skills involve developing extensive capability in the techniques central to key issues of business problem identification, pattern investigation data mining, quantitative analysis, risk management and structured decision analysis methods. In addition to developing your technical capability, the module encourages creativity in analysis and solution generation using computer-based business simulation building models. The greatest challenge however is in deploying these analytical methods it in a meaningful way – the objective is to turn data into valuable information, enabling managers to make better decisions and understand the underlying risks. Business Analysis will be put into practice via the development of a range of consultancy skills.
Digital Business and Data Technologies
The module will give you a grounding in the evolution of data technologies for business from databases to data science. You will be shown how to approach very large bodies of corporate data and be able to assess the value of that data as an asset. Using a data science methodology, you will be shown how to determine valuable business goals that could be served by the datasets you have available, and how to manage and execute data technological projects for the benefit of your corporate environment.
This module covers the analysis of structured and unstructured (text) data using a number of advanced machine learning methods. The module is geared towards teaching an understanding of the methods of processes of applying data analytics to real world problems.
Project management is vital to all organisations. The project management approach has to reflect the industry and environment. But the key challenges are often very similar. This module develops the key skills needed: planning in advance while being prepared for the unexpected.
Text Analytics for Business
The module is will show you how to:
- Engage methodologically with “business understanding” and “data understanding” as essential preliminaries before deploying text analytics techniques;
- Adopt a methodological approaches for specifying a full range of text analytic tasks across a diverse range of data technologies;
- Curate suitable business-focused solutions that are sustainable and ethical and are ready to be strategically deployed in a business context;
- Critically assess your abilities as a data technologist: reflecting upon and developing your knowledge of text analytics to stay current with developments in the field.
The business consulting module covers 3 key elements: (1) working as a consultant; (2) personal and ‘soft’ skill development; (3) industry knowledge and experience.
This module gives students the opportunity to work on a choice of options: (1) Consultancy Project; (2) Independent Consultancy Project; or (3) Case Study Consultancy Project.
The focus here will be a real business challenge identified by the students through an independent research project; a business challenge set by the client organisation and the student; or a case study analysis of real world issues in managing data. The students will work towards finding appropriate solutions. The overall aim of the module is to enable the application of data science for business knowledge and skills to analyse and solve an organisational challenge relevant to choice of project and in doing so enhance project management and their skills.