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MScIT for Business Data Analytics

Tuition fee €5,500 per semester
Application fee €100 one-time

This is a non-refundable fee that will be deducted from your tuition fee.

Deposit €50 one-time

This 50 EUR is an acceptance insurance paid to our agency to guarantee your acceptance letter. This means, if we cannot get you acceptance letter, then we refund you back this amount fully.

Please note that this amount will increase to 60 EUR from May 1, 2020 and further to 75 EUR from June 1, 2020. Complete your application package as early as possible and enjoy the lower prices!

Registration fee €900 one-time

There is a one-time non-refundable registration fee of EUR 900 for non-EU citizens only. This is paid to the university bank account before arrival to Hungary together with the 1st year tuition fee.

Overview

IBS’s new conversion master’s programme* welcomes students from all areas
who would like to become IT professionals with strong business foundations.
Get extensive IT skills to improve your employability and become a more
substantial member of the organisation that you work for. The time has come
to improve your data analysis skills and get coding expertise to solve business
problems!
In collaboration with one of the largest coding academies in Hungary, the
prestigious Green Fox Academy, we train young professionals, who will be able
to occupy junior software developer/business analyst positions, thanks to their
ability to perform various coding tasks and simultaneously interpret business
information and identify business insights

Programme structure

Key areas of studies:

Soft and numerical skills development, data analysis, automation, use of big data, and machine learning tool, an ability to write, review, assess code using a contemporary language/technology management, conduct research and enquiry into business and management issues, synthesise data from various sources and formulate reports and recommendations, demonstrate strong research and data management skills and an ability to assess and clean large datasets, ability to communicate effectively in both writing and orally using a range of media.


Knowledge & Understanding

On successful completion of the programme, students should be able to:

- Create programming codes that execute analytical tasks in business settings;
- Manage, manipulate and analyse large sets of data using contemporary technologies and tools;
- Critically discuss managerial issues in relation to the use of data in the decision-making process of businesses;
- Critically assess the importance and the feasibility of data-driven managerial initiatives and convincingly present the findings to a large array of stakeholders;
- Create simple machine learning models and analyse their impact on business decision-making processes;
- Critically assess automation opportunities in a professional context.


Disciplinary & Professional Skills

On successful completion of the programme, students should be able to:

- Critically assess the opportunities to introduce software based solutions in various business scenarios across major functional areas including finance, marketing and CRM;
- Demonstrate solid skills in advising solutions to complex problems regardless of subject boundaries through methodical analysis and critical assessment;
- Exhibit an innovative, out-of-the-box approach and creativity in dealing with multi-stakeholder and/or data-based projects;
- Coding skills: an ability to write, review, assess code using a contemporary language/technology.
- Analytical skills: conduct research and enquiry into business and management issues, synthesise data from various sources and formulate reports and recommendations.
- Data management skills: demonstrate strong research and data management skills and an ability to assess and clean large datasets.
- Oral and written communication skills: ability to communicate effectively in both writing and orally using a range of media.
- Independent learning and lifelong learning skills: demonstrate strong individual reading and learning skills for advanced academic study and lifelong learning.
- Quantitative and numerical skills: perform standard and some advanced mathematical and statistical tasks relevant to various professional contexts.
- Problem-solving skills: recognise, analyse and solve problems, make decisions in complex situations and unpredictable contexts.
- Entrepreneurship skills: demonstrate an ability to design and validate business concepts and communicate results effectively to a wide variety of audiences.

Apply now! Fall semester 2020/21
Application period has ended
Studies commence
Sep 21, 2020

Application deadlines apply to citizens of: United States

Apply now! Fall semester 2020/21
Application period has ended
Studies commence
Sep 21, 2020

Application deadlines apply to citizens of: United States