
Applied Statistics and Computing
Overview
Job Growth
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Duration
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Avg. Salary
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Career Paths
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Program Description
Applied Statistics and Computing teaches you how to collect, analyse, and use data to solve real business problems. You will study statistics, probability, spreadsheet modelling, business analytics, introductory programming, and methods for presenting results. The program links numbers to management, marketing, finance, and entrepreneurship so you can support decisions, plan budgets, or start a data-driven business. Graduates can work as business managers, marketing specialists, human resources officers, financial analysts, or entrepreneurs. If you enjoy numbers, computers, and helping organisations make better choices, this program gives practical tools and clear career pathways.
Aims & Objectives
Develop the ability to collect, clean, and analyse business data using spreadsheets and basic statistical methods, producing clear reports.
Master spreadsheet skills, including formulas, pivot tables, and charts, to support budgeting and operational decisions.
Understand core concepts in probability and inferential statistics and apply them to marketing, finance, and operations problems.
Create clear data visualisations and presentations that communicate findings to managers, customers, or investors.
Why Choose This Program?
High demand for data-literate business graduates
Employers in Ghana value staff who can turn data into decisions, so skills from this program open roles in finance, marketing, HR, and operations.
Practical, hands-on training
Courses focus on real tools like spreadsheets, data visualization, and basic programming so you build immediately useful skills.
Strong path to entrepreneurship
You will learn how to analyse markets, forecast sales, and create budgets, helping you plan and run your own business.
Industry links and internship opportunities
Many programs partner with companies and local businesses, giving chances for workplace projects and internships.
Skills & Tools
Skills You'll Develop
Use formulas, pivot tables, lookups, and charts to organise data, run analyses, and prepare budgets and reports.
Apply descriptive and basic inferential statistics to test hypotheses, analyse surveys, and evaluate business performance.
Build dashboards and charts that turn complex data into clear insights for managers and customers.
Retrieve and join business data from simple databases to support analysis and reporting.
Tools & Resources
Microsoft Excel and Office Suite
Power BI or Tableau
SPSS or R (or Python with Anaconda)
Challenges & Tips
Challenges
Difficulty with mathematical and statistical concepts
Turning analysis into clear reports
Tips & Advice
Practice regularly with small problems, use online tutorials, and join study groups to reinforce understanding.
Follow simple report templates, focus on key findings, and get peer or teacher feedback before finalising.
Video Guide
Frequently Asked Questions
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