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: Data Analysis and Statistics for Business (CMSE11615)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThis course provides students with the basics of business statistics and aspects of decision-making.
Course description This course aims at training students in the field of data analytics to respond to the business market needs using a variety of quantitative techniques. The course covers the statistical methodological steps of data analysis along with a variety of data analytics techniques for extracting hidden information and building intelligence from data samples to assist with decision making. The course also provides students with the methods and the tools to address common practical issues faced by data analysts. The focus is on understanding the underlying principles behind statistical analyses of data.

Course Outline Content:

- Data and Data Collection

- Statistics for Data Analysis

- Technical Writing

- Presentation for Business

Student Learning Experience

Tutorial/seminar hours represent the minimum total live hours - online - a student can expect to receive on this course. These hours may be delivered in tutorial/seminar, workshop or other interactive whole class or small group format. These live hours may be supplemented by pre-recorded lecture material for students to engage with asynchronously. Live sessions will be delivered only once.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Course Start Date 18/09/2023
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 10, Seminar/Tutorial Hours 20, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 166 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 30% Class Test (Individual) - Assesses course learning outcomes 1,2,3,4
70% Project Report (Individual) - Assesses all course learning outcomes
Feedback Formative: Delivered throughout live sessions (Q&A).

Summative: Feedback is provided on assessments.

No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Critically understand different types of data and engage with a range of data collection approaches.
  2. Apply a variety of statistical concepts and methods to business analytics.
  3. Critically evaluate the statistical analysis tools and their limitations.
  4. Solve a range of problems using the techniques covered.
  5. Write technical business report and make professional presentation
Reading List
Naresh K. Malhotra. Marketing Research¿: an Applied Approach. Fourth edition.. (David F. Birks, Peter Wills 1949-, eds.). Harlow, England¿: Pearson; 2012.

Joseph F. Hair. Multivariate Data Analysis. Seventh edition / Joseph F. Hair, Jr., William C. Black, Barry J. Babin, Rolph E. Anderson..; Pearson new international edition.. (William C. Black 1951-, Barry J. Babin, Rolph E. Anderson, eds.). Harlow, Essex¿: Pearson; 2014.
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.

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.

Practice: Applied Knowledge, Skills and Understanding

After completing this course, students should be able to:

Apply creative, innovative, entrepreneurial, sustainable and responsible business solutions to address
social, economic and environmental global challenges.

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
KeywordsNot entered
Course organiserDr Zexun Chen
Tel: (0131 6)50 8074
Course secretaryMs Heather Ferguson
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