Mathematics With Statistics
Overview
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Program Description
Mathematics With Statistics teaches how mathematical and statistical methods support real business decisions. You will study calculus basics, probability, statistics, regression, business mathematics, and data interpretation, with subjects linked to finance, operations, marketing, and management. The program trains you to analyse data, prepare budgets, forecast sales, and support strategic planning. Graduates can become financial analysts, business managers, marketing specialists, human resources officers, or entrepreneurs. This pathway builds strong analytical skills that are highly valued in Ghanaian companies, banks, and startups, and sets a foundation for further study in business analytics, finance, or management. With practice and curiosity, you will turn numbers into clear business insights and career opportunities.
Aims & Objectives
Develop the ability to apply statistical methods to business data, measured by accurate analysis of datasets and written reports.
Master spreadsheet modelling and Excel techniques, demonstrated by creating budgets, forecasts, and financial summaries.
Understand probability, regression, and inference for decision making, shown by solving real business problems and case studies.
Create clear data visualisations and presentations for managers and stakeholders, assessed by graded presentations and reports.
Apply quantitative methods to support marketing, operations, and HR decisions, validated through project work or internships.
Why Choose This Program?
Direct business relevance
Combines maths and statistics with business topics so you learn skills employers need to make data driven decisions.
Strong career prospects
Leads to roles in finance, management, marketing, and entrepreneurship that are in demand across Ghanaian firms and banks.
Practical, hands on learning
Emphasises spreadsheet modelling, data analysis, and real case studies, so you graduate with usable workplace skills.
Pathway to further study and internships
Provides a solid foundation for university programmes in business analytics, finance, and management, and connects to internship opportunities with local businesses.
Skills & Tools
Skills You'll Develop
Use formulas, pivot tables, charts, and modelling techniques to prepare budgets, forecasts, and business reports.
Apply statistical tests, regression analysis, and data cleaning to extract insights from business datasets.
Translate numerical results into business recommendations using descriptive and inferential statistics.
Create financial models and cash flow forecasts using quantitative methods and spreadsheet tools.
Tools & Resources
Microsoft Office Suite, especially Excel and PowerPoint
R or SPSS for statistical analysis
Google Sheets
Challenges & Tips
Challenges
Difficulty with abstract statistical concepts
Translating maths into business language
Tips & Advice
Use step by step examples, practise past questions, and join study groups to apply theory to real business cases.
Work on short presentations that explain findings in plain English, and get feedback from teachers or mentors.
Video Guide
Frequently Asked Questions
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