Program Overview

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Business Analytics (BSc)

Overview

This accredited 3-year business analytics degree will give you a solid education in business. You'll gain the specialist skills needed to help organisations understand their customers. You'll also learn how to use data to make effective business decisions.

Entry Requirements

A-levels

• AAB
• Excluded subjects are General Studies.
• The below subjects are considered as restricted. This means that we can accept one subject from the following list if combined with other academic subjects:
  • Applied subjects, Art (including Design, Fine Art, Photography, Textiles), Communication Studies, Communication and Culture, Creative Media, Creative Writing, Critical Thinking, Dance, Drama, Film Studies, Health & Social Care, Home Economics, Hospitality and Supervision, ICT/IT Leisure Studies, Media Studies, Music Technology, Outdoor Education, PE, Performing Arts, Public Services, Sports Studies/Science, Theatre Studies, Travel & Tourism, World Development.
  • Please note; Computing, Computer Studies, Product Design and Applied Business (single and double awards) are not considered to be restricted subjects.

International Baccalaureate Diploma

• Pass, with 34 points overall with 17 points at Higher Level
• Some subjects are excluded and restricted - please check the subjects listed under the A level section which also applies to all qualifications.

BTEC

• RQF BTEC: D in the Business BTEC National Extended Certificate plus AA from two A levels, DD in the Business BTEC National Diploma plus A grade from one A-level, DDD in the Business BTEC National Extended Diploma
• QCF BTEC: D in the Business BTEC Subsidiary Diploma plus AA from two A levels, DD in the Business BTEC Diploma plus A grade from one A-level, DDD in the Business BTEC Extended Diploma
• BTEC qualifications should be in Business, please check with us if your BTEC qualification is in a different subject before applying.

Access to HE Diploma

• 60 credits with a minimum of 45 credits at Level 3, of which 39 must be at Distinction and 6 credits at Merit
• Offers typically exclude Social Care/Healthcare pathways

Irish Leaving Certificate

• H1 H2 H2 H2 H2 H2
• Some subjects are excluded and restricted - please check the subjects listed under the A level section which also applies to all qualifications.

Scottish Qualification

• Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education.

Cambridge Pre-U

• D3 D3 M2 in three Principal subjects
• Cambridge Pre-U's can be used in combination with other qualifications such as A Levels to achieve the equivalent of the typical offer but care must be taken with subjects when combining qualifications. As per our A level restricted subjects, we can only accept one restricted subject.

Welsh Baccalaureate

• AAB from 3 A levels or AA from two A levels and B from the Advanced Welsh Baccalaureate Skills Challenge Certificate
• Some subjects are excluded and restricted - please check the subjects listed under the A level section which also applies to all qualifications.

T-Level

• We will accept the following T levels in Management Admin, Finance, Accounting. The requirements are B in Core, Distinction in Specialism and Distinction Overall.
• You will still be required to have GCSE Maths grade 6/B in addition to the T level qualification.

GCSE Requirements

• Applicants must hold GCSE English language (or GCSE English) (minimum grade 4/C) and mathematics (minimum grade 6/B *).
• • We can accept a grade 5 in GCSE mathematics if you achieve grade B in A level Maths, Physics, Economics, Geography, Psychology or Business.

English Language Requirements

• If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
• If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
  • overall score: 6.5
  • reading: 6.0
  • writing: 6.0
  • speaking: 6.0
  • listening: 6.0

Course Structure

Year 1

• Analytics Implementation I: Spreadsheets and Databases
  • This course provides essential knowledge and skills required to support students’ future learning in future data analytic modules. Without prerequisite knowledge in data analytics, this module will cover spreadsheet analytics and relational database techniques.
• Business Analytics Programming I: SAS Base Language
  • This course provides part of the essential knowledge and skills required for conducting the Final Project module in the final year. SAS (Statistical Analysis System) is the leading data analytics software package. This module will cover the fundamental concepts of SAS programming.
• Introduction to Accounting and Finance
  • The course seeks to provide an introductory, but comprehensive overview of financial accounting, management accounting, and financial management to non-specialist students. The course is delivered with particular emphasis on helping students of management understand the role of accounting and finance in the management of organisations.
• Introduction to Management
  • This module provides you with a broad view on key management related topics. It also provides a chance for you to gain hands-on experience on teamwork through preparation and delivery of a group presentation as part of the module assessment. The lectures will cover the following topics: the nature of management, the management of individuals and groups, the management of change, and the management of organisations.
• Introduction to Marketing for Business
  • The module introduces you to the basic concepts of marketing and explains its function in today’s business environment. You will discuss principal theory and practice of marketing and how marketing builds value to the firm and the customer with examples and case studies.
• Predictive Analytics I: Regression and combinatorial techniques
  • Predictive modelling offers a lot of benefits to organisations: it can help them to improve their business decisions and which in turn will have a huge impact on their business and its profits. As a result, there is a huge demand for persons with predictive analytics skills.
• Prescriptive Analytics I: Fundamentals of Management Sciences
  • The module is designed to introduce a range of Management Science techniques, it is the level 1 module in the prescriptive analytics stream for the Business Analytics programmes. This module will describe many of the classical MS problems and solution techniques.

Year 2

• Analytics Implementation II: Visualising Data for Effective Communication
  • Referred to as the ‘the new oil’, the importance of data as a resource to modern society cannot be underestimated. Yet many individuals and organisations alike do not use data effectively, if at all. Effective use of ‘big data’, with its vast sizes and complexities, requires a range of skills and techniques.
• Business Analytics Programming II: Algorithmic Thinking
  • Programming is a structured way of giving a computer unambiguous instructions to perform specific tasks. Knowledge and experience of programming not only improves your employability but it also teaches you analytical skills such as breaking down a problem into manageable parts.
• Consulting: Context, Concepts and Practice
  • Management Consulting has enjoyed significant growth in the previous 40 years and plays a large and important role in the private and public sectors of most national economies. Despite, or perhaps because of this success, the role of management consultant remains poorly understood.
• Predictive Analytics II: Business Forecasting
  • This course provides part of the essential knowledge and skills required for conducting the Final Project module in the final year. Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed.
• Prescriptive Analytics II: Simulation Business
  • MANG2089 introduces simulation. As an experimental technique, simulation is one the most widely used modelling techniques. This is because, unlike optimising techniques such as queuing theory, it requires few assumptions. As a result, analysts use it to solve a wide range of problems.

Year 3

• Analytics Implementation III: Knowledge Management, Methods and Ethics
  • As organisations have become more knowledge intensive, the ability to manage and create knowledge has become a matter of competitive survival. This module is intended to develop students a holistic view of business analytical intention and to understand the role of knowledge management in organisations.
• Analytics in Action I
  • Companies nowadays have collected a large volume of data from various sources. This module aims to introduce the key concepts of using ‘Big Data’ to support organisations in making decision. The module will start by defining the concept of data analytics and its importance in business.
• Analytics in Action II
  • Having learnt the basic techniques and principles of business analytics in previous semester 1 modules, this module will introduce you to a number of advanced machine learning methods and their applications in practice. These include machine learning methods for classification, regression, clustering, and association rule mining.
• Final Project
  • This module serves as the final project/dissertation for the students studying Business Analytics and Business Analytics with Placement Year. The final project provides you with the opportunity to conduct a large piece of research work on a topic of interest to you.
• Prescriptive Analytics III: Optimisation
  • Organisations are typically faced with many decision problems in the running of their operations and they strive to make better decisions by finding good, or ideally the best (optimal), solutions to such problems. This module is concerned with how decision makers can use optimisation techniques to make better decisions.

Learning and Assessment

• Lectures
• Classes and tutorials
• Independent learning (studying on your own)

Year 1

• Scheduled learning & teaching: 24%
• Independent learning: 76%
• Assessment:
  • Written exam: 40%
  • Coursework: 60%

Year 2

• Scheduled learning & teaching: 23%
• Independent learning: 77%
• Assessment:
  • Written exam: 54%
  • Coursework: 46%

Year 3

• Scheduled learning & teaching: 19%
• Independent learning: 81%
• Assessment:
  • Written exam: 50%
  • Coursework: 46%
  • Practical exam: 4%

Careers and Employability

• Employability skills:
  • Research
  • Critical thinking
  • Commercial awareness
  • Self-management
  • Leadership
  • Communication
• Career pathways:
  • Operational researcher
  • Market researcher
  • Management consultant
  • Financial analyst
  • Business analyst
  • Systems analyst
  • Statistician
  • Data scientist
  • Quantitative analyst
• Wider career opportunities:
  • Financial manager
  • Marketing executive
  • Business adviser
  • Business development manager
  • Quantity surveyor
  • Policy officer
  • Financial risk analyst
  • Investment analyst

Fees, Costs and Funding

• Tuition fees:
  • UK students: £9,535
  • EU and international students: £23,400
• What your fees pay for:
  • The full cost of tuition and standard exams.
• Accommodation and living costs:
  • Not included in tuition fees.
• Bursaries, scholarships and other funding:
  • Available for UK and EU students.
• Scholarships and grants:
  • Available for academic excellence, or to students from under-represented backgrounds.

How to Apply

• UCAS course code: N100
• UCAS institution code: S27
• Application process:
  • Predicted grades
  • Academic achievements
  • Personal statement
  • Academic reference