Course Brief

This module gives an overview of statistics, introducing basic ideas and concepts at a general level, before dealing with them in greater detail in later modules. The purpose is to provide a gentle way into the subject for those without a statistical background, in response to the cynical view that it is not possible for anyone to read a statistical text unless they have read it before. For those with a statistical background, the module will provide a broad framework for studying the subject.

  • 45-60 Contact Hours

Topics covered
  • Probability
  • Basic Mathematics: School Mathematics Applied to Management
  • Data Communication
  • Data Analysis
  • Summary Measures
  • Sampling Methods
  • Distribution
  • Statistical Inference
  • Regression and Correlation
  • Business Forecasting

  • MSc. Financial Management

     

                  

     

    The globally recognized Edinburgh Business School, Heriot-Watt University MSc. Financial Management is targeted at finance professionals and other professionals who want to develop a career in financial management, and who require a wide-ranging understanding of financial techniques and their application - but do not require high-level mathematical understanding of finance theories.

    This ACTT-recognized MSc. Financial Management programme encompasses five core courses and four elective courses in Finance. All courses are industry-relevant and practical in nature and taught by excellent and experienced lecturers.

    Careers in finance depend upon a strong understanding of the foundations of finance, investment behaviour and the dynamic nature of finance, and the MSc. will provide a strong preparation for a career in a wide variety of positions within the finance profession.

    Students are drawn to this popular MSc programme by its academic rigour, its intellectual challenge, its flexibility and its proven ability to greatly enhance student career prospects. 

    Our flexible programme structure and affordable payment plans are ideal for anyone wishing to attain a high-quality Master’s qualification. 

    Assessments for all courses are currently facilitated via Timed Online Coursework. No assignment or final thesis is applicable for this programme.

     

    Entitlement to credit transfer or exemption will be assessed on an individual basis. 

     

    About Heriot-Watt University

    Founded in 1821, Heriot-Watt has a rich heritage and is valued for its pioneering research informed by the global needs of business and industry.

    Heriot-Watt University climbs an impressive 17 places from 41st to 25th out of 130 UK Universities in the annual Complete University Guide (University League Table 2026), and 3rd in Scotland. Our Heriot Watt University degree is globally respected and career-enhancing.

    The university has five campuses across the world: Edinburgh, Scottish Borders, Orkney, Dubai and Malaysia, as well as 53 Approved Learning partners (ALPs) and educational collaborative partners in 150 countries.

    In 2018, the UK Times and The Sunday Times Good University Guide named Heriot-Watt University as the International University of the Year.

     

    SBCS GLI EVENTS

    • Registration for the August 2025 semester commences on June 9th, 2025
• The August 2025 semester starts on August 10th, 2025

     

    Master's Online Tuition Schedule: August 2025

     

  • This module gives an overview of statistics, introducing basic ideas and concepts at a general level, before dealing with them in greater detail in later modules. The purpose is to provide a gentle way into the subject for those without a statistical background, in response to the cynical view that it is not possible for anyone to read a statistical text unless they have read it before. For those with a statistical background, the module will provide a broad framework for studying the subject.

  • This module gives an overview of statistics, introducing basic ideas and concepts at a general level, before dealing with them in greater detail in later modules. The purpose is to provide a gentle way into the subject for those without a statistical background, in response to the cynical view that it is not possible for anyone to read a statistical text unless they have read it before. For those with a statistical background, the module will provide a broad framework for studying the subject.