2018/19 Undergraduate Programme Catalogue
BSc Business Analytics
Programme code: | BS-BUAN | UCAS code: | N4N2 |
---|---|---|---|
Duration: | 3 Years | Method of Attendance: | Full Time |
Programme manager: | Barbara Summers | Contact address: | B.A.Summers@lubs.leeds.ac.uk |
Total credits: 360
Entry requirements:
A Level grades of AAB to include Mathematics or Statistics
GCSE English Language B
English language requirements: IELTS 6.5 overall, 6 in each band;
TOEFL 92 overall, 21 in listening, 21 in reading, 23 in speaking, 22 in writing.
School/Unit responsible for the parenting of students and programme:
Decision Research Subject Group, Management Division
Examination board through which the programme will be considered:
Management
Relevant QAA Subject Benchmark Groups:
There is no specific benchmark statement for Business Analytics. In the preparation of this proposal, the subject benchmark statement for General Business and Management has been utilised as the BSc Business Analytics is 'not oriented towards a particular business function or sector'.
Programme specification:
Programme Aims
We want our students to be:
PA1: Knowledgeable about the decision making process, its organisational context and the requirements for effective evidence-based practice
PA2: Insightful and skilled in problem formulation, and critical and confident in reviewing existing evidence
PA3: Highly skilled in data analysis
PA4: Critical and confident in interpreting the results of data analysis and deriving implications for decision makers
PA5: Highly skilled in the preparation of business reports and documents
PA6: Effective in presenting the results and recommendations derived from their data analysis
PA7: Able to work effectively in teams
PA8: Ethical in their use of data and in their approach to business and the management of people of organisations, demonstrating integrity and a real sense of responsibility
PA9: Global and inclusive in their outlook on business, management, culture and scholarship
PA10: Self-reflective practitioners, committed to personal development and the pursuit of excellence
Distinctive features of the programme:
- One of the first undergraduate programmes in Business Analytics to be offered in the UK
- Combines expertise in data analytics, decision research and management to provide a research-based and impact-based programme
- Core emphasis on employability; programme designed to meet growing demand for deep analytical skills to support management decision making
- Final-year work-based analytics project linked to an industrial placement and/or summer internship
- Involvement of external organisations in the design and delivery of the programme including mentoring, guest speakers, placements and internships
- Option to follow specialist tracks in marketing, economics and sports analytics
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following 90 credits of compulsory modules:
LUBS1086 | Exploring Your Potential | 20 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS1525 | Analytical Methods | 20 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS1530 | Business Analytics 1 | 10 credits | Semester 2 (Jan to Jun) | |
LUBS1850 | Organisational Behaviour | 20 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS1950 | Economic Theory and Applications 1 | 20 credits | Semesters 1 & 2 (Sep to Jun) |
Optional modules:
IMPORTANT - When considering your optional modules, please take into account any modules you intend to study in subsequent years, as there might be modules you need to complete in your current year of study that are required to fulfil pre-requisite conditions of future modules.
Candidates will be required to study a minimum of 10 credits from the following optional modules:
LUBS1520 | Introduction to Sports Analytics | 10 credits | Semester 2 (Jan to Jun) | |
LUBS1585 | Economic Institutions (Industry) | 10 credits | Semester 1 (Sep to Jan) | |
LUBS1860 | Fundamentals of Marketing | 20 credits | Semesters 1 & 2 (Sep to Jun) |
Discovery modules:
Candidates will be required to study up to 20 credits of discovery modules, which may include further choices from the optional modules list, in order to make up a total of 120 credits for the year.
Candidates will be required to pass 100 level 1 credits including all Pass for Progression (PFP) modules in order to progress to Year 2.
Year2 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following 80 credits of compulsory modules:
LUBS2140 | Intermediate Microeconomics | 10 credits | Semester 2 (Jan to Jun) | |
LUBS2765 | Advanced Management Decision Making | 10 credits | Semester 2 (Jan to Jun) | |
LUBS2785 | How Managers Make Decisions | 10 credits | Semester 1 (Sep to Jan) | |
LUBS2920 | Advanced Analytical Methods | 20 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS2931 | Evidence-based Consultancy | 10 credits | Semester 1 (Sep to Jan) | |
LUBS2940 | Business Analytics 2 | 20 credits | Semesters 1 & 2 (Sep to Jun) |
Optional modules:
IMPORTANT - When considering your optional modules, please take into account any modules you intend to study in subsequent years, as there might be modules you need to complete in your current year of study that are required to fulfil pre-requisite conditions of future modules.
Candidates will be required to study 20 credits from the following optional modules:
LUBS2020 | From Study to Work | 10 credits | Semester 1 (Sep to Jan) | |
LUBS2050 | Industrial Economics | 10 credits | Semester 2 (Jan to Jun) | |
LUBS2085 | Developing Your Potential | 10 credits | Semester 1 (Sep to Jan) | |
LUBS2420 | Business Economics | 10 credits | Semester 2 (Jan to Jun) | |
LUBS2610 | Intermediate Macroeconomics | 10 credits | Semester 1 (Sep to Jan) | |
LUBS2781 | Managing in the Digital Workplace | 10 credits | Semester 2 (Jan to Jun) | |
LUBS2840 | Marketing Research | 20 credits | Semester 1 (Sep to Jan) | |
LUBS2900 | Operations and Supply Chain Management | 10 credits | Semester 2 (Jan to Jun) |
Discovery modules:
Candidates will be required to study 0-20 credits of discovery modules, which may include further choices from the optional modules list, in order to make up a total of 120 credits for the year.
Candidates will be required to pass 100 level 2 credits including all Pass for Progression (PFP) modules in order to progress to Year 3.
Year3 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following 80 credits of compulsory modules:
LUBS3070 | Strategic Management | 20 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS3200 | Business Analytics 3: Analytics Project | 40 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS3950 | Current Issues in Decision Making | 20 credits | Semesters 1 & 2 (Sep to Jun) |
Optional modules:
Candidates will be required to study 20 credits from the following optional modules:
LUBS3005 | Advanced Microeconomics | 10 credits | Semester 2 (Jan to Jun) | |
LUBS3051 | Digital Information at Work | 10 credits | Semester 2 (Jan to Jun) | |
LUBS3185 | People Analytics: Strategy and Practice | 20 credits | Semester 1 (Sep to Jan) | |
LUBS3190 | International Marketing | 10 credits | Semester 1 (Sep to Jan) | |
LUBS3505 | Advanced Macroeconomics | 10 credits | Semester 1 (Sep to Jan) | |
LUBS3530 | Advertising and Promotional Management | 10 credits | Semester 2 (Jan to Jun) | |
LUBS3785 | The Economics of Unions | 10 credits | Semester 2 (Jan to Jun) | |
LUBS3930 | Economics of Business and Corporate Strategy | 20 credits | Semesters 1 & 2 (Sep to Jun) | |
LUBS3955 | Leadership in Organisations | 10 credits | Semester 1 (Sep to Jan) |
Discovery modules:
Candidates will be required to study 20 credits of discovery modules, which may include further choices from the optional modules list, in order to make up a total of 120 credits for the year.
Candidates will be required to pass 100 level 3 credits including all Pass for Progression (PFP) modules in order to be eligible for the award of an Honours Degree.
Last updated: 05/04/2019
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