Overview
The Business Analytics M.Sc. at the University of South Carolina provides students with advanced technical skills to navigate the data-driven landscape of modern commerce. This comprehensive curriculum focuses on the identification, formulation, and analysis of statistical models to facilitate informed decision-making across various sectors. Students learn to interpret complex results to guide organisational strategy and improve economic outcomes.
Why Business Analytics at University of South Carolina?
- Benefit from a flexible, one-year structure that begins in August and concludes the following summer, designed for rapid career advancement.
- Engage in real-world learning through capstone projects, consultancy assignments, and data challenge competitions that provide hands-on experience.
- Learn from top-ranked faculty members who are recognised thought leaders and industry experts in international business and supply chain management.
- Access the Moore School’s extensive network, offering opportunities to collaborate with executives and managers from diverse global industries.
- Enhance your professional value in a market with a high demand for analytics skills, often leading to significantly increased earning potential.
Tuition Fee Breakdown
- International fee: USD 14880 per semester
- National fee: USD 14880 per semester
- Local fee: USD 6867 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is designed to cover the full spectrum of data crunching and statistical application. Modules may include:
- Data Acquisition
- Data Crunching
- Statistical and Mathematical Models
- Data-Driven Decision Making
- Analytics Practicum
- Business Analytics
Careers with Business Analytics
Graduates are prepared for high-demand roles across numerous sectors, including healthcare, finance, engineering, and government. The programme focuses on developing the expertise required for specialised analytical positions in both nonprofit and corporate environments. Common career paths for alumni include:
- Business Analyst
- Data Analyst
- Financial Analyst
- Management Analyst
- Marketing Analyst
- Market Research Analyst
- Operations Analyst
- Operations Research Analyst
Programme Structure
Courses include:
- Project Management
- Data Resource Management
- Quantitative Methods
- Applied Econometrics
- Advanced Quantitative Methods in Business
- Applied Microeconomics
- Supply Chain Modeling
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Columbia, United States
Disciplines
Business Intelligence Data Analytics View 398 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Official Transcripts
- Official GRE/GMAT Score
- Two Letters of Recommendation
- Curriculum Vitae or Resume
- Personal Statement
- Admissions Interview (will be requested by the admissions committee for qualified candidates)
Tuition Fees
-
International Applies to you
Applies to youNon-residents29760 USD / year≈ 29760 USD / year - Out-of-State29760 USD / year≈ 29760 USD / year
-
Domestic
Applies to youIn-State13734 USD / year≈ 13734 USD / year
Living costs
Columbia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Business Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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