MSc Data Science for Business (Online)
Masters in Data Science for Business (Online)
Today, businesses rely on Big Data more than ever to make the most important decisions. The Online Masters in Data Science for Business is designed to equip students with the skills and knowledge to become a data-driven leader and take their place in the rapidly changing business landscape.
The course material is developed to help students understand the applications of data analytics tools across various sectors, and its implications for effective business decision making. As students progress through the Masters in Data Science for Business, they will develop critical analytical skills and build their confidence to champion data analytics projects.
The programme is delivered online, through a combination of video lectures and live webinars, offering students the flexibility to fit their studies around personal and professional commitments. The online learning platform provides a rich human-centred learning experience where students can collaborate with tutors and students, get support from tutors, as well as access ebooks, journals, and online libraries.
Benefits of an Online Masters in Data Science for Business
The programme is designed to equip students with the skills and knowledge to identify problems and opportunities within workflows and systems, improve customer service and achieve sustainable growth in data driven organisations.
Students will develop a deeper understanding of the relevance of industrial and scientific data analytics in improving processes and solving complex business challenges. Furthermore, students will acquire advanced management skills as they develop the ability to apply insights from data analysis in strategic decision making with the help of real life business case studies.
The programme allows students to gain a better understanding of the possible opportunities to apply data analytics tools and techniques for better business decision making. Students will develop the ability to design and apply business research methods, while acknowledging the diversity of organisations, their process and systems, as well as the impact of external global factors. Upon completion of the programme, graduates will be equipped with enhanced analytical, critical, interpersonal, leadership, as well as entrepreneurship skills.
Career Path after a Masters in Data Science for Business
The global demand for professionals working within data science is much higher than the current supply. MSc Data Science for Business graduates will possess the highly sought-after skills and knowledge of a data scientist, and can be seen taking up roles, such as:
- Data analyst
- Enterprise Architect
- Machine Learning Scientist
- Business Intelligence Developer
A minimum of a second class Honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.
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
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, explore their beliefs and values, builds their self-confidence, and encourages them to share their ideas. Due to the value the School (and previous students) place on this pioneering and challenging Programme, teaching on all courses starts with the Flying Start Leadership Programme.
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.
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.
Relational and non-Relational Databases
This course compares traditional relational databases with new NoSQL models and concentrates on the MongoDB document store.
- The traditional relational database model
- Comparison of relational databases to new NoSQL stores
- MongoDB, Cassandra, Neo4j use
- Replication and sharding
- MapReduce on databases
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.
Representing and Manipulating Data
This module covers the use of the programming language Python for manipulating data. It starts with an introduction to programming in Python and then moves on to cover libraries such as Numpy, Pandas and NLTK.
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.