Universities United Kingdom Keele University Courses MSc Business Analytics

MSc Business Analytics
at Keele University

Keele, United Kingdom

Tuition Fee £ 18,900
Country Rank#58
Duration12 Months
Score IELTS: 6.5

Program Overview

Combining leading expertise from across both Keele Business School and the School of Computing and Mathematics, our course will deepen your understanding of the technical and commercial implications of data-driven solutions.

Business analysts guide businesses to improve their decisions, processes, products and services through data analysis – bridging the gap between IT and business to improve organisational performance, create efficiencies and add value to the business. Grounded in theory and practice, our MSc focuses on developing your understanding of business, management, data analytics and data science within a global context.

With unique access to the combined expertise across Keele Business School and the School of Computing and Mathematics, you’ll gain a deeper insight into how businesses run their operations within today’s challenging economy. At the same time developing the technical skills and knowhow to identify, manage and analyse the most appropriate data sources to evaluate their performance.

Referring to real-life business examples and, where possible, working to solve actual client problems, you’ll gain a comprehensive understanding of the operational, human and environmental factors that influence performance within a business context, as well as the different quantitative and qualitative research approaches you can use to analyse these. We’ll look at the options for collecting data from various sources to support analytics programs, how to construct and quality assure datasets, the process of perform different forms of analysis and effective ways to summarise and present information in a way that senior management can understand.

You’ll graduate with a blended technical and commercial toolset that enables you to not only analyse organisations from different perspectives – strategically, functionally and operationally – but also come up with solutions that are technologically feasible and financially and functionally viable.

Designed to provide a rapid immersion into the field of business analytics, this programme is suitable for almost anyone who is required to evaluate business performance, or aspects of it – whether you work in a for-profit business, government or non-profit.

The programme also includes options that allow you to tailor the content to more closely suit your own backgrounds and interests. For example, if you have existing computing skills you can choose to study more advanced topics on the mathematical theories behind AI and data science. You are also given a choice of modules that allow you to specialise within a specific area of business such as marketing, finance, human resource management and sustainability.

Course Content
COURSE STRUCTURE

Teaching takes place over the first two semesters. There are no formal group classes during Semester 3, but you consult with supervisors and access the University’s learning and teaching facilities and support services. During Semester 3 you will have the opportunity to chose from one of four pathways, a postgraduate consultancy project, work placement, entrepreneurship pathway or research dissertation.

Semester 1

Core modules
- International Operations and Supply
- Performance Management
Research workshops

A series of workshops is run across the academic year on a bi-weekly basis, providing additional support as part of a structured programme designed to explore links between the computing and business aspects of the course. Intended to develop the research and applied skills required for your dissertation/consultancy/placement/entrepreneurship project and subsequent employment These workshops will introduce research concepts and provide a series of guest lectures covering different areas of business e.g. HRM, Marketing, Accounting etc. Challenges related to these different areas of business will be set to help develop applied analytics skills. The ultimate aim of these workshops is to develop the research and applied skills required for the final semester and subsequent employment.

Data Analytics and Databases

Provides an overview of database operations and knowledge of a variety of tools and statistical techniques to help you better understand and make sense of the exponential growth of big data and related issues. You will learn advanced analytics and statistical modelling techniques, enabling you to determine how best to analyse and extract information from a set of data typically available in a modern business or research organisation.

Elective modules

Based on your knowledge of computer programming and the recommendation of a member of School of Computing and Mathematics staff you will choose one of the following:
- System design and Programming
- Mathematics for AI and Data Science
If you are joining us from a non-mathematical background, this module provides an introduction to the mathematical concepts relevant to AI and data science. It will provide you with the necessary knowledge and skills to tackle real-world AI and data science problems, including: quadratic equations; vectors, matrices; linear questions and multiple variables; functions and probability.

Semester 2

Core modules

Research workshops
- Visualisation for Data Analytics
  The information age is characterised by large amounts of data generated as part of an ever-widening range of day-to-day activities. When properly analysed this data can lead an organisation to better decision-making, insight, and competitive advantage. The module will help you understand how data analytics is used to interpret big data within areas such as health, security, science and business.
- Applications of AI, Machine Learning and Data Science
  This module covers a variety of cutting-edge AI and machine learning techniques, showing how they can be applied to real-world problems and datasets and the associated legal, ethical and social aspects. You will explore a variety of different areas and techniques including: decision making and behaviour control; reinforcement learning and deep learning; machine learning applied to areas such as social media; recommender systems used for entertainment and e-commerce; and voice and facial recognition.
Elective modules

Based on your final project pathway you will choose one of the following:
- Research Methods
- Creativity and Personal Development
Semester 3

After you have completed the taught modules, you will undertake a large project to further develop your knowledge in a specific area of applied business analytics, management consultancy or business analytics research. You will choose one of the options below:
Entry Requirement
- Undergraduate degree in any subject with second class lower (2:2) or an international equivalent. We will also consider students with equivalent industrial work experience.
- English Language Entry Requirement for International Students
- IELTS 6.5 with a minimum of 5.5 in each component. The University also accepts a range of internationally recognised English tests.
- If you do not meet the English language requirements, the University offers a range of English language preparation programmes.
- During your degree programme you can study additional English language courses. This means you can continue to improve your English language skills and gain a higher level of English.
Fees & Scholarships
- International - £18,900 per year
Career Prospect
Business analytics is an exciting career choice and one that is increasingly in demand. Across all types of industries, organisations are generating huge volumes of data which has heightened the need for professionals who know how to interpret and analyse it. The role of business analyst, in conjunction with other data science jobs, is becoming central to business strategy here in the UK and internationally as businesses strive to maintain competitiveness in a demanding global market.

On this course, you’ll learn to confidently and capably use and leverage data to provide solutions to a range of operational and strategic business problems. You could pursue roles as a graduate trainee, business consultant, business analyst or data analyst, either as a consultant or in-house within a market research, analytics function or with broader management responsibility. On completion, you’ll also be ideally placed to pursue further postgraduate studies at MPhil or PhD level.

Past graduates within the Business School and School of Computing and Mathematics have secured positions in a variety of industries, including including Deloitte, BAE systems and EY.

Typical roles:
- Business analyst/consultant
- Business intelligence analyst/consultant
- Business manager
- Data analyst/consultant
- Marketing analyst/consultant
- Supply chain analyst/consultant

Cost Of Studying At Keele University

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

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MSc Business Analytics at Keele University