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Business Analytics and Economics● OpenMastersPreview

Master's Programme in Business Analytics, Economics and Business Administration

A two-year programme blending theoretical knowledge and practical skills in data-driven business decision-making.

Best for:Best for graduates with a background in economics, business administration, or related fields seeking to specialize in data-driven decision-making and analytics.

Lappeenranta-Lahti University of Technology (LUT) · Lappeenranta, Finland
More professors at Lappeenranta-Lahti University of Technology (LUT)
data analyticspredictive modellingmachine learning applicationsdecision support systemsquantitative business analysisbusiness intelligence
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years
Start date
Flexible (typically aligned with academic calendar)
Full-time
Location
Lappeenranta
Finland

Overview

This two-year Master’s programme at Lappeenranta-Lahti University of Technology (LUT) equips students with advanced theoretical and technical skills in business analytics, covering data analytics, modelling, simulation, and decision-making methods. The curriculum integrates real-world data and industry-standard tools to prepare graduates for high-demand roles in business and industry. Students explore quantitative analysis, machine learning, predictive modelling, and decision support systems, ensuring they can evaluate past performance and strategize for future growth. The programme emphasizes hands-on application, bridging the gap between academic theory and practical industry needs. Graduates are positioned for diverse career opportunities in analytics-driven sectors, with strong employability prospects.

business analyticsdata-driven decision-makingmachine learningpredictive analyticsbusiness intelligencequantitative methodsindustry-standard toolseconomic modelling

What you'll do

  • Develop theoretical and technical expertise in business analytics methods, including data analytics, modelling, and simulation.
  • Apply industry-standard software and tools to analyze real-world data in practical business contexts.
  • Engage in quantitative and statistical analysis to evaluate past performance and inform future business strategies.
  • Utilize machine learning and predictive modelling techniques to support decision-making processes.
  • Collaborate on projects that bridge academic theory with real-world industry applications.
  • Develop skills in multiple-criteria decision-making and evaluation methods for complex business scenarios.
  • Participate in hands-on learning experiences using real-world datasets and industry partnerships.

Requirements

Degree required: Bachelor's degree in Economics, Business Administration, or a related field (180 ECTS credits or equivalent).

Degree offered: Master of Science (Economics and Business Administration)

Language: English proficiency (no specific test score mentioned).

Instruction: English

Required skills
  • Proficiency in quantitative and statistical analysis techniques.
  • Basic understanding of data analytics and modelling principles.
  • Familiarity with industry-standard software and tools for data analysis.
  • Strong analytical and problem-solving skills.
  • Ability to work with real-world datasets and apply theoretical knowledge practically.
Nice to have
Experience with machine learning or predictive modelling tools.Prior exposure to business intelligence or data visualization platforms.Knowledge of simulation software or programming languages (e.g., Python, R).
Eligibility
  • No specific nationality or residency restrictions mentioned.
  • No age limits or prior experience caps specified.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: Unknown (programme-specific deadlines may apply)

Applicants must apply through the official university portal, submitting required documents including a CV, academic transcripts, and proof of English proficiency. Additional programme-specific documents may be required. The application process is handled via the Opintopolku platform.

Documents required
  • CV
  • Academic transcripts (Bachelor's degree)
  • Proof of English proficiency
  • Letter of motivation
  • Passport-sized photograph (if required)
↗Check programme and admissions

Contact

Lab
School of Business and Management
Lappeenranta-Lahti University of Technology (LUT)
Finland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.