Postgraduate Course: Introduction to Business Analytics (CMSE11546)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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. |
| 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.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2022/23, Not available to visiting students (SS1)
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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 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| 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
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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.
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| Keywords | Not entered |
Contacts
| Course organiser | Dr Augusto Voltes-Dorta
Tel: (0131 6)51 5546
Email: |
Course secretary | Miss Mary Anne Boeff
Tel: (0131 6)50 8072
Email: |
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