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The program focuses on practical IT development and computer science courses. Core courses: Programming Principles (1, 2); Algorithms and Data Structures; Object-Oriented Programming; Discrete Structures; Databases; Software Engineering. From the fourth semester, students can choose career tracks, each consisting of 2–7 electives. The Big Data Analysis track includes Advanced Statistics, Data Mining, Machine Learning, Data Storage and Analysis, Deep Learning, Intro to AI, and Computational Theory.
DATA SCIENCE & BUSINESS ANALYTICS (LSE). The program places greater emphasis on economics and mathematics. Students receive two degrees, from KBTU and the London School of Economics (LSE). Core courses: Principles of Statistics (1, 2); Statistics (1, 2); Advanced Statistics (1, 2); Principles of Calculus (1, 2); Calculus (1, 2); Algebra (1, 2); Mathematical Methods (1, 2); Microeconomics; Macroeconomics; Econometrics (1, 2); Business and Management in a Global Context (1, 2); Programming for Data Science (1, 2); Machine Learning (1, 2).
Tuition information: Annual paid tuition at KBTU is 2,400,000 tenge. The total cost for four years is 9,600,000 tenge.
Under the dual-degree program, students pay tuition at the London School of Economics because the grant does not cover it. The total is approximately 4,810,000 tenge: year 1 — $700 for AP exam preparation; year 2 — 1,700,000 tenge; year 3 — 1,400,000 tenge; year 4 — 1,400,000 tenge. For fee-paying students, the combined four-year cost of KBTU and LSE is 14,410,000 tenge.
Course retakes are paid. Depending on the course load, a retake may cost from 80,000 to 160,000 tenge. Students with good semester results but a poor exam grade can retake only the exam for 35,000 tenge.
The Kazakh-British Technical University (KBTU) placed third in the overall university ranking. Student and alumni reviews describe it as a university with strong faculty, relevant programs, and high-quality education.
Strengths of KBTU:
Weaknesses of KBTU:
UNT scores are not considered for admission to the MSU Kazakhstan Branch. Documents are accepted electronically until July 10. Entrance exams follow: Mathematics on July 12 and Russian Language on July 15.
July 12 — Mathematics; July 15 — Russian Language.
We selected two programs at the MSU Kazakhstan Branch:
The program focuses on applied mathematics. Core courses: Mathematical Analysis (1, 3); Mathematical Modeling; Real and Complex Analysis; Functional Analysis; Algebra and Geometry; Algorithms and Algorithmic Languages; Computer Architecture and Assembly Language; Computer Graphics; Differential Equations; Probability Theory and Mathematical Statistics; Programming Languages and Methods; Operating Systems; Numerical Methods (1, 2); Optimization Methods; Discrete Mathematics (1, 2); Equations of Mathematical Physics; Fundamentals of Cybernetics; Game Theory and Operations Research; Optimal Control.
The program places greater emphasis on classical mathematics. Core courses: Mathematical Analysis (1); Complex Analysis; Functional Analysis; Linear Algebra and Geometry; Analytic Geometry; Introduction to Mathematical Logic and Algorithm Theory; Classical Differential Geometry; Differential Geometry and Topology; Probability Theory; Stochastic Processes; Partial Differential Equations; Number Theory; Mathematical Statistics; Numerical Methods; Calculus of Variations and Optimal Control; Computer Work and Programming.
Study format: Classes at the MSU Kazakhstan Branch are organized in blocks.
Tuition information: Students at the MSU Kazakhstan Branch study on state-funded grants.
The Kazakhstan Branch of Lomonosov Moscow State University (MSU Kazakhstan Branch) showed both strengths and weaknesses in the overall university ranking, according to survey data and student feedback.
Strengths of the MSU Kazakhstan Branch:
Weaknesses of the MSU Kazakhstan Branch:
Overall, the MSU Kazakhstan Branch has a strong academic reputation and solid foundational education, but needs to improve student cultural life, humanities education, and practical training.
UNT subjects: Mathematics + Computer Science. The minimum UNT score to apply for a grant is 85.
The program focuses on applied mathematics and data science. Core courses: Algorithms and Data Structures; Big Data and Distributed Algorithms; Probability and Statistics; Computational Mathematics; Discrete Mathematics; Mathematical Analysis (1, 2); Deep Reinforcement Learning; Statistics and Data Science (1, 2); Applied Machine Learning.
The program places greater emphasis on practical IT development. Core courses: Introduction to C++; Introduction to Python; OOP (Java); OOP (Python); Algorithm Design and Analysis; Advanced Databases (NoSQL); Computer Organization and Architecture; Operating System Fundamentals; Machine Learning Algorithms; Cloud Computing.
The program covers foundational applied programming courses as well as adjacent theoretical subjects such as cell engineering and genetics. Core courses: Heterogeneous Parallelization; Finite Volume Method; Finite Element Method; PL/SQL Programming; Quantitative Analysis; Database Management Systems; Deep Reinforcement Learning; Fuzzy Logic; Biostatistics; Genetics; Stochastic Processes.
Tuition information: Annual bachelor's tuition for the programs above is 2,500,000 tenge. The total cost for three years is 7.5 million tenge.
