Master of Science in Business Administration – Major in Business Analytics
A two-year programme equipping students with advanced data-driven decision-making and financial management skills for the digital economy.
Best for:Best for graduates in economics, business, or related fields seeking to specialise in data-driven decision-making and financial analytics with a strong technical foundation.
Overview
This Master of Science programme at the University of Inland Norway focuses on Business Analytics, blending economics, data analysis, and digital frameworks. Students gain in-depth expertise in financial management, analytical tools, and technical insights to make informed business decisions. The curriculum emphasizes hands-on experience with digital technologies and analytical methodologies, preparing graduates for roles in data-driven industries. Ideal for those seeking to specialise in leveraging data for strategic business outcomes, the programme balances theoretical knowledge with practical application in real-world scenarios.
What you'll do
- Develop advanced analytical skills to interpret complex business data and derive actionable insights.
- Apply financial management principles to solve real-world business challenges.
- Utilise digital tools and frameworks to enhance decision-making processes in organisations.
- Engage in hands-on projects that integrate technical, analytical, and business acumen.
- Collaborate with peers and industry professionals to solve multidisciplinary business problems.
- Conduct independent research and present findings in a structured academic format.
Requirements
Degree required: Bachelor’s degree in Economics, Business Administration, or a related field (e.g. Finance, Management, or Data Science).
Degree offered: Master of Science (MSc) in Business Administration
Language: English proficiency; typically demonstrated through IELTS (minimum 6.0) or equivalent.
Instruction: English
- Proficiency in quantitative methods and statistical analysis.
- Basic knowledge of financial accounting and management principles.
- Familiarity with digital tools and software for data analysis (e.g., Excel, SPSS, or similar).
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in a team setting.
- Open to international applicants.
- No specific residency or age restrictions.
- Applicants must meet the university’s general admission requirements for master’s programmes.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through the university’s official portal. Required documents include a completed application form, official transcripts, proof of English proficiency, a CV, and a statement of purpose. Some applicants may be required to provide additional materials such as letters of recommendation or a portfolio, depending on the programme’s specific requirements.
- Completed application form
- Official transcripts of previous degrees
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Curriculum Vitae (CV)
- Statement of purpose or personal statement
- Letters of recommendation (if required)
- Portfolio (if applicable)
Contact
Admissions Office· Admissions Coordinator
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