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Featured byBI Norwegian Business School
Overview
Business analytics plays an essential role in providing the tools to make the right decisions and strategies needed to survive in a competitive market and grow profitably. In a world of Big Data, analytics has become a strategic necessity in virtually all areas of business, and to make the best decisions, businesses need to master both business and analytics. Analytics now permeates business sectors from marketing to accounting, sales to logistics, and HR to operations. No industry or market is unaffected by Big Data, so the need for business analytics is universal.
Careers
With a Business Analytics programme taught at BI Norwegian Business School , you will be a relevant and attractive candidate for a great number of positions across a range of businesses and industries. Big Data affects all industries and markets, so the need for business analytics is universal.
- Portfolio Analyst
- Campaign Analyst
- Financial Analyst
- Marketing Operations Analyst
- HR/People Analyst
- Product Analyst
- Web Analyst
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Data Protection and Ethics in the Modern Business Environment
- Data Management and Python Programming
- Decision Theory and System Dynamics
- Business Optimisation
- Applied Data Analytics
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
More details
Priority application deadline for Master of Science: 1 March
After 1 March, applications are accepted on a rolling basis.
Language
English
IELTS 6.5
TOEFL® IBT 90
Credits
120 ECTS
Delivered
On Campus
Disciplines
Business Intelligence & Analytics Data Science & Big Data Machine Learning View 4 other Masters in Business Intelligence & Analytics in NorwayExplore more key information
Visit official programme websiteAcademic requirements
GPA 3.5
GRE® 152 (verbal)
158 (quantitative)
GMAT 600
Minimum 3.5 (B) on the ECTS scale and a B in specific quantitative course relevant to this programme.
English requirements
IELTS 6.5
TOEFL® IBT 90
Other requirements
General requirements
- 1.1 Undergraduate Degree
- a) A successfully completed Bachelor’s degree (180 ECTS credits) in the field of business administration, finance, or economics
- Or
- b) A successfully completed Bachelor’s degree with a specialisation (minimum 80 ECTS credits) in one of the following, provided that the combination of courses gives a good foundation for further studies within Business Analytics:
- Engineering
- Mathematics or Calculus
- Statistics or Econometrics
- Computing and/or Programming
- Logistics
- Quantitative Marketing
- Business Intelligence
- Quantitative Accounting
- Actuarial Science
- 1.2 The Bachelor's degree should include the following courses:
- Quantitative subjects (e.g. Statistics, Mathematics, Research methods, Econometrics, or similar).
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To alway see correct tuition fees
-
International
15098 EUR/yearTuition FeeBased on the tuition of 15098 EUR per year during 24 months. -
EU/EEA
11634 EUR/yearTuition FeeBased on the tuition of 11634 EUR per year during 24 months.
EU/EEA applicants: NOK 120 800
Outside EU/EEA applicants: NOK 157 000
Living costs for Oslo
11682 - 19230 NOK /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Visit website bi.edu for scholarship opportunities, including the Women in Finance and Tech Scholarship.
Scholarships are available for applicants with EU/EEA citizenship. Awarded based on outstanding academic achievement. Apply with application for admission by March 1.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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