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

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Statistics for Analytics (CMSE11624)

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 Credits20 ECTS Credits10
SummaryThis course introduces students to principles of business statistics and aspects of decision-making needed for banking and risk analytics. It examines aspects of decision making in business and banking with regards to fundamentals of statistical analysis.
Course description The aim of the course is to help students develop an understanding of the core statistical techniques in business. A particular emphasis is placed on developing the ability to interpret the numerical information that forms the basis of decision-making in business. Most of the examples are drawn from a variety of business, banking, and risk management applications.

This course introduces core business statistics and fundamental aspects of decision-making. It examines aspects of business and banking with regards to principles of statistical analysis. Students will be provided with the theoretical concepts, tools and methods of statistics as well as the opportunity to work through example problems.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites Students MUST also take: Programming for Risk Analytics (CMSE11590)
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 18, Seminar/Tutorial Hours 4, Dissertation/Project Supervision Hours 2, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 172 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 50% Coursework (individual) - Assesses course learning outcomes 1,2,4,5
50% Coursework (group) - Assesses course learning outcomes 1,3,4
Feedback Formative feedback will be provided via tutorials

Summative feedback will be provided on the group and individual assignments.

No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Critically understand and discuss the key terminology, principles, concepts tools and techniques used in business statistical analysis.
  2. Critically evaluate the underlying assumptions of analysis tools.
  3. Understand and critically discuss the issues surrounding sampling and significance.
  4. Discuss critically the uses and limitations of statistical analysis and communicate effectively with peers.
  5. Solve a range of business decision-making problems using the techniques covered.
Learning Resources
Anderson/Sweeney/Williams/Camm/Cochran/Freeman/Shoesmith. Statistics for Business and Economics. Cengage Learning; 2020.

Michael Barrow. Statistics for Economics, Accounting and Business Studies. Sixth edition.. Pearson; 2013.

Bandyopadhyay, Arindam. Basic Statistics for Risk Management in Banks and Financial Institutions. Oxford University Press, 2022.

Additional Information
Graduate Attributes and Skills Communication, ICT, and Numeracy Skills

After completing this course, students should be able to:
-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.

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.
KeywordsNot entered
Course organiserDr Zexun Chen
Tel: (0131 6)50 8074
Course secretaryMiss Aoife McDonald
Tel: (0131 6)50 8074
Help & Information
Search DPTs and Courses
Degree Programmes
Browse DPTs
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Important Information