Applied Mathemetics

Graduate (Master) Studies
Mathematical Sciences
Applied Mathemetics

Description

In this master's program, you will further deepen your mathematical knowledge: you will study theories of sequences and series, econometrics, differential equations, operations research, and dynamic systems. You will also choose elective subjects ranging from futuristic neural networks to mobile application infrastructure for our smart devices. Upon completing the studies, you will be able to apply this knowledge in industries, business, finance, and other fields, develop applied software, conduct scientific research, or continue your studies in a doctoral program.







Curriculum

Course Lecturer ECTS Credits
Econometrics [MAT511] Ričardas Krikštolaitis 6
Sample Theory Simona Jokubauskienė 6
Mathematical Modeling with Differential Equations Vytautas Kleiza 6
Research Project No.1 [MAT514] Ričardas Krikštolaitis 6
Optional courses I
Information Retrieval Tomas Krilavičius 6
Machine Learning Gailius Raškinis 6
Total ECTS credits:
30
Course Lecturer ECTS Credits
Operations Research Tomas Rekašius 6
Data Mining Erinija Pranckevičienė 6
Applications of Differential Equations Vytautas Kleiza 6
Research Project No.2 [MAT524] Roma Kačinskaitė 6
Optional courses I
Neural Networks [INF512] Aušra Saudargienė 6
Data Visualization Tomas Krilavičius 6
Digital Image Processing Minija Tamošiūnaitė 6
Total ECTS credits:
30
Course Lecturer ECTS Credits
Risk and Reliability Analysis Inga Šarūnienė 6
Applications of Stochastic Differential Equations Petras Rupšys 6
Research Project No.3 [MAT614] Ričardas Krikštolaitis 6
Optional courses I
Natural Language Processing Jurgita Kapočiūtė-Dzikienė 6
ICT Infrastructure and Digital Transformation Daiva Vitkutė-Adžgauskienė 6
Optional courses II
Discrete Statistics Simona Jokubauskienė 6
Queuing Theories Juozas Augutis 6
Time Series Marijus Radavičius 6
Total ECTS credits:
30
Course Lecturer ECTS Credits
Master Graduation Thesis Ričardas Krikštolaitis 30
Total ECTS credits:
30