Bachelor's Degree in Data Science Undergraduate Program By Al-Farabi Kazakh National University |Top Universities

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

The aim of the educational program "6В06107- Data Science " is to provide quality training of competitive specialists in the field of science and big data analytics in the rapidly growing field with a huge unmet demand. A unique interdisciplinary educational experience allows students to gain a broad base of knowledge and skills that employers are looking for.
1. Analyze the features of social, political, cultural institutions in the context of their role in the modernization of Kazakhstani society, describe the stages of the formation of an independent Kazakhstani statehood in the context of the world and Eurasian historical process. 2. Be able to understand and apply modern methods of management, mining and analysis of big data in various fields. 3. Apply concepts and methods of data science to solve problems in real-world settings and will effectively communicate these solutions to your data management skills. 4. Determine suitable tools and methods for solving the main classes of machine learning problems and interact with developers. 5. Use modern computer technologies such as machine learning, artificial intelligence, parallel and distributed computing, information security to solve practical problems characterized by large-scale data 6. Acquiring professional skills in working with big data and building analytical models for the financial sector of the economy. 7. Perform design, development and testing of software, develop web applications with an ergonomic user interface based on an agile methodology. 8. Apply artificial intelligence methods in solving problems and making decisions, testing, implementing and maintaining artificial intelligence systems. 9. Use the data collection process to ensure the completeness and interconnectedness of data from different sources and to develop solutions to optimize current processes. 10. Model logical data structures, defining data composition, structure and data sources, ensuring data protection. 11. Conduct big data analysis, design and develop software for storing, processing and analyzing big data, use cloud platform services to support modern application architectures. 12. Work in a team, tolerantly perceiving social, ethnic and cultural differences, critically assess their own activities, the activities of the team.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

The aim of the educational program "6В06107- Data Science " is to provide quality training of competitive specialists in the field of science and big data analytics in the rapidly growing field with a huge unmet demand. A unique interdisciplinary educational experience allows students to gain a broad base of knowledge and skills that employers are looking for.
1. Analyze the features of social, political, cultural institutions in the context of their role in the modernization of Kazakhstani society, describe the stages of the formation of an independent Kazakhstani statehood in the context of the world and Eurasian historical process. 2. Be able to understand and apply modern methods of management, mining and analysis of big data in various fields. 3. Apply concepts and methods of data science to solve problems in real-world settings and will effectively communicate these solutions to your data management skills. 4. Determine suitable tools and methods for solving the main classes of machine learning problems and interact with developers. 5. Use modern computer technologies such as machine learning, artificial intelligence, parallel and distributed computing, information security to solve practical problems characterized by large-scale data 6. Acquiring professional skills in working with big data and building analytical models for the financial sector of the economy. 7. Perform design, development and testing of software, develop web applications with an ergonomic user interface based on an agile methodology. 8. Apply artificial intelligence methods in solving problems and making decisions, testing, implementing and maintaining artificial intelligence systems. 9. Use the data collection process to ensure the completeness and interconnectedness of data from different sources and to develop solutions to optimize current processes. 10. Model logical data structures, defining data composition, structure and data sources, ensuring data protection. 11. Conduct big data analysis, design and develop software for storing, processing and analyzing big data, use cloud platform services to support modern application architectures. 12. Work in a team, tolerantly perceiving social, ethnic and cultural differences, critically assess their own activities, the activities of the team.

Scholarships

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