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Business Data Analytics

2020 08 21 Financial and Actauarial mathematics

About the programme

FacultyFaculty of Mathematics and InformaticsDuration3 years
Study field groupMathematical SciencesMode of studyFull-time
Study fieldStatisticsCredits180
Qualification degreedegree of Bachelor of Mathematical SciencesAnnual tuition fee4 500 EUR for non-EU students / 4 201 EUR for EU students

* 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 are required to pass the OMPT-D exam with a score of at least 70%. Foreigners from the following countries are not required to take the test: EU countries, Iceland, Liechtenstein, Norway, Switzerland, the United Kingdom, Ukraine, Turkey, the USA, Israel, Singapore, Canada, Japan, South Korea, the Republic of South Africa, Australia, and New Zealand. 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.

Additional country-specific requirements are set only for the following countries which you can find HERE.

 

SubjectCredits
Semester 1 Autumn
Compulsory Courses30.0
Fundamentals of Statistical Bussiness Data Analysis10.0
Informatics for Data Analysis10.0
Microeconomics5.0
Scientific Computing I/II p.5.0
Semester 2 Spring
Compulsory Courses20.0
Database Management Systems5.0
Macroeconomics5.0
Scientific Computing II/II p.10.0
Course unit (module) of Individual Studies10.0
Semester 3 Autumn
Compulsory Courses20.0
Business Process Management5.0
Marketing5.0
Statistics and Probability Theory10.0
Course unit (module) of Individual Studies10.0
Semester 4 Spring
Compulsory Courses15.0
Corporate Finance5.0
Data Visualization5.0
Practical Data Analysis with R and Python5.0
Optional Courses5.0
Financial Intelligence5.0
Game Theory5.0
Language Models5.0
Sampling Methods5.0
Course unit (module) of Individual Studies10.0
Semester 5 Autumn
Compulsory Courses20.0
Big Data Software Tools5.0
Business Data Analytics Project5.0
Entrepreneurship5.0
Time Series Models5.0
Optional Courses10.0
Data Tidying and Transformation with R5.0
Machine Learning for Science and Engineering Studies5.0
Numerical Methods5.0
Optimization Methods5.0
Semester 6 Spring
Compulsory Courses30.0
Bachelor Final Thesis (Study field: Statistics)15.0
Professional Practice15.0
 

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