MSc in IT for Business Data Analytics
Budapest, Hungary
DURATION
12 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
EUR 5,900 / per semester *
STUDY FORMAT
On-Campus
* 100 EUR application fee | 900 EUR one-time registration fee for non-EU citizens
Scholarships
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Introduction
IBS's new conversion master's program 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 valuable member of the organization that you work for. The time has come to improve your data analysis skills and get coding expertise to solve business problems!
Program Content
MSc in IT for Business Data Analytics program’s goal is to (re-)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. The program will, therefore, be a conversion program addressed to young people seeking career advancement or career change and will train IT professionals with strong business foundations.
In collaboration with one of the largest coding academies in Hungary, the prestigious Green Fox Academy, we believe that any person can reach the level of junior software developer regardless of their prior qualifications. Along with Green Fox Academy, we prepare students from all fields for various in-demand positions in the job market in one year.
The schedule makes it possible for students even with a full-time job to participate as classes start at 17:00 on weekdays!
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Admissions
Curriculum
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 inquiry into business and management issues, synthesize 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.
Program Outcome
Knowledge & Understanding
On successful completion of the program, students should be able to:
- Create programming codes that execute analytical tasks in business settings;
- Manage, manipulate and analyze 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 analyze their impact on business decision-making processes;
- Critically assess automation opportunities in a professional context.
Disciplinary & Professional Skills
On successful completion of the program, 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 a 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.
- Knowledge of Python, JavaScript, Git, SQL, NoSQL, HTML
- Analytical skills: conduct research and inquiry into business and management issues, synthesize 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: recognize, analyze 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.