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Data Science

Homepage
Admission
Bachelor's degree
Data Science

Number and name of the group of educational program
B057 - Information tehcnologies

Duration of training
4 years

Tuition costs
850,000 tenge

Profile items
Mathematics and Computer Science

The purpose of the educational program: To develop competencies in mathematical modeling, programming, and machine learning for solving complex applied problems: ranging from personalized medicine and financial analytics to "smart" city systems.

Educational Trajectories:

  1. Machine Learning & AI Engineering
  2. Trajectory: Applied Data Science in Industry

What knowledge will I gain at
university?

  • Design and implement intelligent systems
  • Perform Exploratory Data Analysis (EDA)
  • Design and optimize databases
  • Develop predictive models
  • Model applied processes
  • Develop software prototypes
  • Prepare feasibility studies
  • Visualize results

What will I do after graduating from university?

  • Data Scientist
  • ML Engineer (Machine Learning Engineer)
  • Data Analyst
  • Data Engineer
  • AI Researcher

Where will I work after graduation?

  • IT and Technology: Development of search engines, social networks, and cloud services ; software development and information security systems companies.
  • Fintech and Banking: Scoring (assessing the probability of loan repayment) and Anti-fraud (real-time detection of fraudulent transactions).
  • Medicine and Biotechnology: Development of computer vision systems for diagnosing diseases from images (MRI, X-ray) , genome analysis, and creating personalized treatment plans.
  • Industry and Energy: Creation of "digital twins" to optimize factory operations and predictive analytics (forecasting equipment failures before they occur).
  • Retail and E-commerce: Building recommendation systems (such as in Netflix, Amazon, Kaspi, etc.) , optimization of logistics and warehouse inventory.
  • Public Sector and Science: "Smart City" projects: traffic management, environmental monitoring , and working on fundamental AI tasks in research institutes and universities.
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