Duration	3 years (full-time)	Study language	English
Scope	180 ECTS	Tuition Fee per year	€4500 per year
Qualification awarded	Bachelor in Mathematical Sciences	Start of studies	1 September
Programme code	6121AX003	Application period Application deadline	1 November – 1 May* / 1 July** 1 May * / 1 July**

 * For applicants from non-EU/EFTA countries
** For applicants who do not need a Lithuanian visa and non-EU/EFTA applicants, if there is a Lithuanian embassy in their home country

Why this programme?

The Business Data Analytics programme is interdisciplinary, integrating the field of business, with one-third of the credits devoted to business and finance courses. This three-year programme allows students to enter the labour market more quickly, meeting the strong and growing demand for its graduates.

Designed to develop advanced analytical and problem-solving skills, the programme combines knowledge of statistics, machine learning, business, and finance. Students learn to collect, analyse, and interpret complex business data, apply statistical methods in finance and other uncertainty-related fields, critically evaluate information, communicate results effectively, and work both independently and as part of a team – continuously enhancing their professional growth.

What‘s after?

The graduates will have the opportunity to continue their studies in Master’s programmes in data analysis/statistics, data science, or econometrics at universities in Lithuania and abroad.

They will also be well-equipped to pursue careers in the business sector as business data analysts, data analysts, data analysis consultants, risk analysts, financial analysts, and other related professionals. Additionally, graduates may find employment in research or applied science centres specialising in economic data analysis.

Programme partners – VU Business School and University of Minho, School of Economics, Management and Political Science.

 

• Foreigners from non-EU/EFTA countries are required to pass the OMPT-D exam with a score of at least 70%. This requirement is not applied for foreigners from EU/EFTA countries. The Admissions Committee evaluates the qualifications of applicants and invites them to a motivational interview only after receiving the OMPT-D exam results with a score of at least 70%.
• Assessment of motivation is held by electronic means remotely for all foreign applicants, and the final decision is made by the Admissions Committee only after the motivational interview.

• In addition, all applicants have to fulfil general admission requirements.

 

Course unit title	ECTS credits	Course unit title	ECTS credits
1 SEMESTER	30.0	5 SEMESTER	30.0
Compulsory courses		Compulsory courses
Fundamentals of Statistical Business Data Analysis	10.0	Time Series Models	5.0
Informatics for Data Analysis	10.0	Business Data Analytics Project	5.0
Calculus I	5.0	Entrepreneurship	5.0
Microeconomics	5.0	Big Data Software	5.0
2 SEMESTER	30.0	Optional courses*	10.0
Compulsory courses		Numerical Methods	5.0
Calculus II	10.0	Data Preprocessing and Transformation using R	5.0
Macroeconomics	5.0	Optimization Methods	5.0
Database Management Systems	5.0
Individual studies*	10.0	6 SEMESTER	30.0
3 SEMESTER	30.0	Compulsory courses
Compulsory courses		Professional Internship	15.0
Marketing	5.0	Bachelor‘s Thesis	15.0
Statistics and Probability Theory	10.0
Business Process Management	5.0
Individual studies*	10.0
4 SEMESTER	30.0
Compulsory courses
Practical Data Analysis with R and Python	5.0
Corporate Finance	5.0
Data Visualization	5.0
Optional courses*	5.0
Financial Intelligence	5.0
Sampling Methods	5.0
Game Theory	5.0
Large Language Models	5.0
Individual studies*	10.0