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NBS8295 : Data Analytics for Managers

  • Offered for Year: 2022/23
  • Module Leader(s): Mr Nick Howey
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus
Semester 2 Credit Value: 10
ECTS Credits: 5.0


• To develop specialist skills and techniques required by industry to deliver value from data analytics.

• To query, manage, analyse and visualise data using industry standard software in order to address potential organisational problems and opportunities.

• To manage independent learning in order to deepen knowledge and reflection on the topic through a range of learning activities that might include extended reading, reflection, research and practical exercises.

Outline Of Syllabus

1. Articulate the concept of data analytics
2. Identify organisational needs and opportunities arising from data
3. Use relevant techniques to inform decision-making in a range of business processes and applications
4. Process, store and convert data from one or more sources into a format suitable for analysis
5. Use appropriate descriptive and predictive modelling techniques
6. Integrate the solutions from applying data analytics into business processes for knowledge generation and decision-making

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture21:002:00PIP Lectures
Guided Independent StudyAssessment preparation and completion130:0030:00N/A
Guided Independent StudyDirected research and reading133:0033:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching82:0016:00PIP workshops - PC lab based
Guided Independent StudyIndependent study119:0019:00N/A
Teaching Rationale And Relationship

Guidance provided at the beginning of a session are used to present the underlying theory and practical capability, with emphasis on choosing appropriate methods in relation to business needs and dedicated applications. A workshop environment will then allow you to:
1) Interpret theory through relating the taught material to real world business problems;
2) Formulate a plan for implementing a data analytics system and managing the project;
3) Develop a data analytics system.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report2M1002000 words
Formative Assessments
Description Semester When Set Comment
Case study2MN/A
Assessment Rationale And Relationship

Yes. Updated assessment strategy is as follows:

Formative assessment
The module has been designed so that students will work on some of the elements required for their summative assessment during the teaching sessions throughout the semester. Students will be invited to discuss their progress in class as a case study. This has a number of benefits:
• Student are producing work that can be used for their summative assessment
• Students can debate and share good practice
• Students will receive feedforward on these discussions.

Summative Assessment
The final report is designed to allow students to provide a reasoned case for data analytics and a critical appraisal of the managerial implications for implementing a chosen solution.

The individual component must be submitted in the assessment period following the taught elements. Each student will be required to produce a 2000 word report. The report must be supported by theory and reflective comment.

Feedback Strategy
Formative: as stated earlier, there will be a number of opportunities where formative feedback will be provided throughout the module, particularly in relation to practical tasks.

Summative: For each component of assessment there is a respective standard marking criteria that will indicate how marks are allocated to the work, alongside the annotated comments on the work and overall summary comments provided using electronic marking.

Reading Lists