University home > Unit and programme catalogues in 2022/23 > Programme catalogue > Faculty of Social Sciences and Law > School of Management - Business School > Business Analytics (MSc) > Specification
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Programme code | 9MGRC021T |
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Programme type | Postgraduate Taught Degree |
Programme director(s) |
Roberta Bernardi
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Faculty | Faculty of Social Sciences and Law |
School/department | School of Management - Business School |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Mode of study | Full Time |
Programme length | 1 years (full time) |
This section sets out why studying this programme is important, both in terms of inspiring you as an individual and in considering the challenges we face. It describes how this degree programme contributes to:
The programme will prepare graduates for business analytics jobs (e.g. digital marketing experts, managers in human resource analytics), which are in high demand not only in large hi-tech companies, but also in Small and Medium Enterprises, and Third Sector Organisations.
The main aims of the programme are to:
The learning outcome statements shown below for your programme have been developed with reference to relevant national subject benchmarks (where they exist), national qualification descriptors (see the Framework for Higher Education Qualifications) and professional body requirements.
Teaching, learning and assessment strategies are listed to show how you will be able to achieve and demonstrate the learning outcomes.
This programme provides opportunities for you to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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The 3-hour lectorial sessions will embed a mixture of teaching methods including lecture and tutorial-style activities. Through in-class group discussions based on academic readings, case studies and mini-group presentations, students will analyse and debate various issues in the deployment, use and ethics of business analytics (PILO A3, A4, A5). Where possible and appropriate, delivery of unit content will be technology-enabled, using flipped or blended learning techniques, particularly for the teaching and learning of business analytics techniques that require the use of software. Problem- and practice-based learning will also be employed where appropriate to teach students how to use data analytics techniques, decision making theories and models to solve problems (PILO A1, A2, A3) and apply theories to practical scenarios (PILO A3, A5). |
Methods of assessment (formative and summative) | |
Formative assessment will be formally or informally delivered according to what is appropriate to the learning outcomes of the individual units. The form/method of assessment and associated learning outcomes will reflect those in the summative assessment to allow students to gauge the progress of their learning. Students will be notified of the mode the formative assessment will take, its purpose, and method at the outset of the unit, and details will be included in unit handbooks and Blackboard. Examples of formative assessment include: individual written work (e.g. essay, blogs and/or policy briefs) in units Managerial Decision-Making and Business Analytics and Responsible Innovation (PILO A3, A4, A5); mini-group presentations in units Data Analytics in Business (PILO A1, A2), Modelling Analytics (PILO A1, A2, A3) and Business Analytics Consulting Project (PILO A1, A2, A3, A4, A5); small individual and group practice-based tasks in units Data Analytics in Business, Social Media and Web Analytics, and Modelling Analytics (PILO A1, A2, A3). The summative assessment strategy for each unit will be clearly outlined in the unit handbook, together with the learning outcomes to be assessed and the assessment criteria. A unit’s summative assessment strategy will be determined by what Unit Directors believe to be pedagogically appropriate given the required learning outcomes. They will take a variety of forms: individual written reports in units Data Analytics in Business and Social Media and Web Analytics (PILO A1, A2), and Business Analytics and Responsible Innovation (PILO A4, A5); individual essay in unit Managerial Decision-Making (PILO A3); group project report and presentation in unit Business Analytics Consulting Project (PILO A1, A2, A3, A4, A5); computer-based tasks and exam in unit Modelling Analytics (PILOs A1, A2, A3). The dissertation in Applied Research Project in Business Analytics will assess PILO A1, A2, A3, A4, A5. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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Lectorial sessions provide the flexibility to blend different teaching methods that enable a development of various intellectual skills across units including in-class group discussions based on academic readings and case studies (PILO B1 and B2), mini-group presentations, problem- and practice-based tasks in the use of data analytics techniques (PILO B1, B2, B3) and the application of decision making theories and models to solve problems (PILO B1, B2). Case-based group discussions to apply theories to practical scenarios both in class and online (PILO B1, B4). Development of intellectual skills will also be through self-directed study – individual and in groups (PILO B1, B2, B3, B4). Academic supervision of the Applied Research Project will also be essential to achieve PILO B4. |
Methods of assessment (formative and summative) | |
The assessment of intellectual skills will be embedded in the assessments for all the units. A holistic approach to assessment will be taken by the Programme Director to ensure this. Students are expected to proactively engage with unit content and participate actively to develop intellectual skills. Chosen methods of both formative and summative assessment of Programme Intended Learning Outcomes (PILOs) will be determined by what individual Unit Directors believe to be pedagogically appropriate given their unit’s intended learning outcomes and in line with programme-level ILOs. Formative assessment will take a range of forms but should reflect the nature or learning outcomes and thereby allow the student to gauge levels of personal progress. Examples of formative assessment include: individual written work (e.g. essay, blogs and/or policy briefs) in units Managerial Decision-Making and Business Analytics and Responsible Innovation (PILO B1, B2, B3); mini-group presentations in units Data Analytics in Business and Modelling Analytics (PILO B1, B2, B3) and Business Analytics Consulting Project (PILO B1, B2, B3, B4); small individual and group practice-based tasks in units Data Analytics in Business, Social Media and Web Analytics, and Modelling Analytics (PILO B1, B2, B3). Summative assessment of intellectual skills can take a range of forms and will include individual written reports in units Data Analytics in Business and Social Media and Web Analytics (PILO B1, B2, B3), and Business Analytics and Responsible Innovation (PILO B1, B2, B4); individual essay in unit Managerial Decision-Making (PILO B1 and B3); group project report/presentation in unit Business Analytics Consulting Project (PILO B1, B2, B3, B4); computer-based tasks (PILO B1, B2, B3 ) and exam (PILO B1, B3) in unit Modelling Analytics. The dissertation in Applied Research Project in Business Analytics will assess PILO B1, B2, B3, B4. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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The teaching method and strategy for employability and transferable skills is not standalone but integrated in the teaching or delivery of the units. Each unit has designed ILOs for employability and transferable skills, which will be aggregated to contribute to the overall programme level of employability and transferable skills. As per Intellectual skills above, the following teaching methods will be used: in-class group discussions based on academic readings and case studies (PILO C1,C 4), mini-group presentations (PILO C2, C3, C5), individual problem- and practice-based tasks in the use of data analytics techniques (PILO C3, C4) and the application of decision making theories and models to solve problems (PILO C3, C4). Case-based group discussions to apply theories to practical scenarios both in class and online (PILO C3, C4, C5). |
Methods of assessment (formative and summative) | |
The assessment of employability and transferable skills will be embedded in all the units to be delivered. Students are expected to proactively engage with unit content and participate actively to develop employability and transferable skills, alongside their intellectual skills, knowledge and understanding. Chosen methods of both formative and summative assessment will be determined by what individual Unit Directors believe to be pedagogically appropriate given their unit’s intended learning outcomes and in line with programme-level ILOs are addressed by unit-level ILOs. Examples of formative assessment include: individual written work (e.g. essay, blogs and/or policy briefs) in units Managerial Decision-Making (PILO C1, C2, C3, C4) and Business Analytics and Responsible Innovation (PILO C2, C3, C4); mini-group presentations in units Data Analytics in Business (PILO C1, C2, C3, C4), Modelling Analytics (PILO C1, C2, C3, C4), and Business Analytics Consulting Project (PILO C1, C2, C3, C4, C5); small practice-based tasks both individual (PILO C1, C2, C3) and in group (C1, C2, C3, C5) in units Data Analytics in Business, Social Media and Web Analytics, and Modelling Analytics. Summative assessment of practical, professional and transferable skills can take a range of forms and will include: individual reports/essays in units Data Analytics in Business, Social Media and Web Analytics, Business Analytics and Responsible Innovation, and Managerial Decision-Making (PILO C1, C2, C3, C4); group project report/presentation in unit Business Analytics Consulting Project (PILO C1, C2, C3, C4, C5); computer-based tasks (PILO C1, C2, C3) and exam (PILO C1, C2, C3, C4) in unit Modelling Analytics. The dissertation in Applied Research Project in Business Analytics will assess PILO C1, C2, C3, C4. |
This section describes what is expected from you at each level of your programme. This illustrates increasing intellectual standards as you progress through the programme. These levels are mapped against the national level descriptors published by the Quality Assurance Agency.
Level M/7 - Postgraduate Certificate |
To be eligible for the award of a Postgraduate Certificate, students must successfully complete 60 credits of taught units. These units will provide students with foundational knowledge, understanding and skills in business analytics including basic skills in business analytics techniques, knowledge and understanding of data-driven decision-making in organisations, and ethical issues in business analytics. Students will be able to demonstrate general intellectual skills and attributes necessary for that knowledge and understanding together with a set of essential practical skills. |
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Level M/7 - Postgraduate Diploma |
To be eligible for the award of a Postgraduate Diploma, students must successfully complete 120 credits of taught units. Further units will provide students with advanced, comprehensive skills and knowledge in business analytics. After completing all taught units of the programme, students will be able to demonstrate independence in the choice of statistical computational techniques to solve business problems, and breadth and depth of knowledge and understanding of theories and topics taught in the course. The intellectual and practical skills learned in TB1 will also be further developed, applied and extended. |
Level M/7 - Postgraduate Masters |
To be eligible for a MSc award, 120 credits from the taught units plus the applied research project (60 credits) must be successfully completed (Total of 180 credits). At this stage, students will be able to plan and execute an applied research project in all its parts at a professional or equivalent level and with appropriate consideration of ethical issues. They will show great ability to independently choose and deploy statistical computational models to solve complex problems and challenges. They will also have developed a complete suite of transferable skills including teamwork and the ability to communicate results and conclusions from independent research in written form to a range of specialist and non-specialist audiences. |
For information on the admissions requirements for this programme please see details in the postgraduate prospectus at http://www.bristol.ac.uk/prospectus/postgraduate/ or contact the relevant academic department.
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Unit Name | Unit Code | Credit Points | Status | |
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Behavioural Decision Making | EFIMM0138 | 20 | Mandatory | TB-1 |
Social Media and Web Analytics | EFIMM0139 | 20 | Mandatory | TB-2 |
Business Analytics and Responsible Innovation | EFIMM0140 | 20 | Mandatory | TB-4 |
Business Analytics Consulting Project | EFIMM0144 | 20 | Mandatory | TB-4 |
Data Analytics in Business | EFIMM0141 | 20 | Mandatory | TB-1 |
Modelling Analytics | EFIMM0142 | 20 | Mandatory | TB-2 |
Applied Research Project in Business Analytics | EFIMM0143 | 60 | Mandatory | AYEAR |
180 |
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to exit from the programme with a postgraduate diploma or certificate.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
An award with Merit or Distinction is permitted for postgraduate taught masters, diplomas and certificates, where these are specifically named entry-level qualifications. An award with Merit or Distinction is not permitted for exit awards where students are required to exit the programme on academic grounds but is permitted in designated programmes (as set out in the programme specification) where students choose to withdraw from the intended programme but otherwise achieve the necessary credit points for the exit award.
The classification of the award in relation to the final programme mark is as follows:
Award with Distinction*: at least 65 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation. **Faculties retain discretion to increase these thresholds.
Award with Merit*: at least 60 out of 100 for the taught component overall and, for masters awards, at least 60 out of 100 for the dissertation. Faculties retain discretion to increase these thresholds.
* The MA in Law has separate regulations for awarding distinction and merit.
** For the award of Distinction, the Faculty of Engineering requires at least 70 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to choose, or be required, to leave at the postgraduate diploma or certificate stage.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
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