THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Introduction to Business Analytics (CMSE11546)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe objective of the course is to give students both knowledge and understanding of selected key concepts in management science and to apply them to make decisions. These include forecasting, optimisation, data visualization, multi-criteria decision-making and data clustering.
Course description The objective of the course is to give students both knowledge and understanding of selected key concepts in management science and to apply them to make decisions. These include forecasting, optimisation, data visualization, multi-criteria decision-making and data clustering.

The course comprises the following topics:
1) Forecasting and Optimization (Time-series analysis and Linear Programming)
2) Decision Analysis (Single and multi-criteria methods, Location Analysis)
3) Data Visualization
4) Introduction to Data Mining (Clustering)

Student learning experience:
The weekly lectures will explore core concepts while the tutorials focus on the practical applications. Real-life examples will be discussed in class.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2022/23, Not available to visiting students (SS1) Quota:  None
Course Start Block 2 (Sem 1)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 8, Seminar/Tutorial Hours 7, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 83 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% coursework (individual) - assesses the one course Learning Outcome
Feedback Formative: All students will be given at least one formative feedback or feed forward event for every course they undertake, provided during the semester in which the course is taken and in time to be useful in the completion of summative work on the course. Students will gain feedback on their understanding of the material when they discuss their answers to the tutorial questions in the tutorials. Students may also ask questions in Lectures to assess their knowledge.

Summative: Summative feedback will be provided on the assessment.
No Exam Information
Learning Outcomes
Apply tools of business analytics (including data visualization) to the analysis of future demand, resource optimization, optimal business location or customer segmentation
Reading List
Anderson, D.R. Sweeney, D.J., Williams, T.A. and Wisniewski, M. (2009). An Introduction to Management Science: Quantitative Approaches to Decision Making. South Western
Additional Information
Graduate Attributes and Skills Knowledge and Understanding

After completing this course, students should be able to:

Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines; comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary and secondary research and sources of evidence in order to make, and present, well informed and transparent organisation-related decisions, which have a positive global impact.

Identify, define and analyse theoretical and applied business and management problems, and develop approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore and solve them responsibly.

Cognitive Skills

After completing this course, students should be able to:

Be self-motivated; curious; show initiative; set, achieve and surpass goals; as well as demonstrating adaptability, capable of handling complexity and ambiguity, with a willingness to learn; as well as being able to demonstrate the use digital and other tools to carry out tasks effectively, productively, and with attention to quality.

Communication, ICT, and Numeracy Skills

After completing this course, students should be able to:

Convey meaning and message through a wide range of communication tools, including digital technology and social media; to understand how to use these tools to communicate in ways that sustain positive and responsible relationships.

Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.
KeywordsNot entered
Contacts
Course organiserDr Augusto Voltes-Dorta
Tel: (0131 6)51 5546
Email: Augusto.Voltes-Dorta@ed.ac.uk
Course secretaryMs Emily Davis
Tel: (0131 6)51 7112
Email: Emily.Davis@ed.ac.uk
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