Type:
University of Technology
Region:
Dolnośląskie
Programme:
Management
Area:
Humanities
Level:
Master's Programme
Mode of studies:
full-time programme
Duration:
3 semesters (Spring, Autumn, Spring)
Tuition fee:
non EU/EFTA students 2000 EUR tuition fee per semester, EU/EFTA students no tuition fee
Degree awarded:
Master
Scholarships available:
based on merit
Application deadline:
Tuesday, 30 November, 2021
Language:
EN
Day of semester start:
Tuesday, 1 February, 2022
Credits (ECTS):
120
Admission requirements:
Requirements: Bachelor's Degree or Bachelor of Engineering Degree. Each application is assessed individually on its merits. If in doubt, please contact the Admission Officer, e-mail: admission@pwr.edu.pl
» Deadline for application: Non EU/EFTA students see: www.admission.pwr.edu.pl; EU/EFTA students see: www.rekrutacja.pwr.edu.plhttp://www.admission.pwr.edu.pl
» English: Equivalent of minimum TOEFL IBT – 87 points or 6.5 points IELTS. List of accepted language certificates can be checked online
» Application fee: Non EU/EFTA students see: www.admission.pwr.edu.pl; EU/EFTA students see: www.rekrutacja.pwr.edu.pl
Description:
Field of study: Management Engineering
Specialization: Business Intelligence
Businesses today collect an incredible amount of data, from market transactions, customer service interactions, social media reviews, search engine entries, to demographics, and many
more. Businesses also experience a rapid and continuous development of technologies and organisational behaviour that require high skills in ICT and data analytics. The Master of Business
Intelligence (BI) programme is designed to provide students with cutting edge managerial knowledge and a strong foundation in both analytics – including computational statistics
and machine learning – and core business areas, building a solid platform for a successful career. The BI curriculum focuses on how to analyse data in order to identify and predict
patterns and on how to visualise and present results to support managerial decisions and lead to innovative thinking in today’s organisations. The Master of Business Intelligence programme is tailored for
current Bachelor of Engineering students and recent graduates who plan to pursue a career in business analytics and management information systems, as well as computer programmers,
mathematicians, physicists and engineers seeking career advancement or change. We not only welcome students from different backgrounds and cultures, but also see them as critical
for developing innovative ideas. Set up and run by a team of top-ranking scientists, award-winning early stage researchers and successful professionals, the BI curriculum answers the
market demand for tech-savvy graduates who can apply advanced computational tools to solve business challenges.
more. Businesses also experience a rapid and continuous development of technologies and organisational behaviour that require high skills in ICT and data analytics. The Master of Business
Intelligence (BI) programme is designed to provide students with cutting edge managerial knowledge and a strong foundation in both analytics – including computational statistics
and machine learning – and core business areas, building a solid platform for a successful career. The BI curriculum focuses on how to analyse data in order to identify and predict
patterns and on how to visualise and present results to support managerial decisions and lead to innovative thinking in today’s organisations. The Master of Business Intelligence programme is tailored for
current Bachelor of Engineering students and recent graduates who plan to pursue a career in business analytics and management information systems, as well as computer programmers,
mathematicians, physicists and engineers seeking career advancement or change. We not only welcome students from different backgrounds and cultures, but also see them as critical
for developing innovative ideas. Set up and run by a team of top-ranking scientists, award-winning early stage researchers and successful professionals, the BI curriculum answers the
market demand for tech-savvy graduates who can apply advanced computational tools to solve business challenges.
ACQUIRED SKILLS AND COMPETENCES :
Students will learn how to:
»Use data analytics to stimulate business growth with quantitative and qualitative skills.
»Analyse and manage big data.
»Stay on top of the latest methods and approaches in computational statistics and machine learning.
»Use cutting-edge techniques to immerse in case studies and apply new approaches to own data challenges.
»Use visualisation software to identify trends, explore hypotheses, challenge assumptions, and create a more detailed, data-driven understanding of business activities.
»Conduct top-tier research and report the results to managers, peers and the public.
»Simulate realistic future paths of all kinds of business processes.
»Predict outcomes to enable making informed business decisions and developing winning strategies.
»Reach the right customers with the right products and communications.
»Leverage the power of data to make informed business decisions and thrive in a rapidly changing environment.
»Analyse and manage big data.
»Stay on top of the latest methods and approaches in computational statistics and machine learning.
»Use cutting-edge techniques to immerse in case studies and apply new approaches to own data challenges.
»Use visualisation software to identify trends, explore hypotheses, challenge assumptions, and create a more detailed, data-driven understanding of business activities.
»Conduct top-tier research and report the results to managers, peers and the public.
»Simulate realistic future paths of all kinds of business processes.
»Predict outcomes to enable making informed business decisions and developing winning strategies.
»Reach the right customers with the right products and communications.
»Leverage the power of data to make informed business decisions and thrive in a rapidly changing environment.
JOB PROSPECTS
The demand for business analytics is high. Graduates who complete the Business Intelligence programme will acquire computational skills and management
expertise that the business world is actively seeking. Our programme prepares students for data-driven decision support that is crucial for today’s business
activities across a broad range of industries, including ICT, financial, energy and healthcare. The BI curriculum provides the skills to fill positions not only as
business intelligence analysts, but also data analysts and consultants, revenue optimisation analysts, risk managers, market analysts and many more. Given
that the students will have the opportunity to conduct research with affiliated faculty and senior staff, the programme also prepares for academic careers,
offering a unique set of competences and invaluable experience related to decision support for energy markets and renewable generation, e-business logistics
and trade, and healthcare systems.
expertise that the business world is actively seeking. Our programme prepares students for data-driven decision support that is crucial for today’s business
activities across a broad range of industries, including ICT, financial, energy and healthcare. The BI curriculum provides the skills to fill positions not only as
business intelligence analysts, but also data analysts and consultants, revenue optimisation analysts, risk managers, market analysts and many more. Given
that the students will have the opportunity to conduct research with affiliated faculty and senior staff, the programme also prepares for academic careers,
offering a unique set of competences and invaluable experience related to decision support for energy markets and renewable generation, e-business logistics
and trade, and healthcare systems.