6B06107 Data Science
Цель: 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.
Предметы на ЕНТ: Mathematics и Информатика
Educational program
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.
Bachelor's degree programs
1) Certificate / diploma + applications (original)2) ID card
3) UNT certificate
4) Certificates confirming benefits and quotas
5) Photo 3x4: 6 pcs.
6) Medical certificate form 063/y
7) Medical certificate in form 075 / y
🎯If the medical certificate, form 0/75 y does not contain evidence of psycho-drug registration data, then please download it on the Egov website
Curriculum
СЕМЕСТР 1
- Foreign Language-5 ECTS
- Higher Mathematics-6 ECTS
- Kazakh (Russian) Language-5 ECTS
- Module of socio-political knowledge (Sociology)-2 ECTS
- Module of socio-political knowledge (Psychology)-2 ECTS
- Module of socio-political knowledge (Culture)-2 ECTS
- Module of socio-political knowledge (Political science)-2 ECTS
- Physical Training-2 ECTS
- Нistory of Kazakhstan-5 ECTS
СЕМЕСТР 2
- Physical Training-2 ECTS
- Kazakh (Russian) Language-5 ECTS
- Discrete Mathematics and Mathematical Logic-5 ECTS
- Introduction to Data Science-5 ECTS
- Foreign Language-5 ECTS
- Al-Farabi and Modernity-5 ECTS
- Legal Bases of Corruption Control-5 ECTS
- Ecology and Human Life Safety-5 ECTS
- Basics of Financial Literacy-5 ECTS
- Entrepreneurship-5 ECTS
- Abais Teaching-5 ECTS
- Methods of scientific research-5 ECTS
- Educational-2 ECTS
СЕМЕСТР 3
- Theory of Probability and Mathematical Statistics-6 ECTS
- Web Programming-5 ECTS
- Database Theory-5 ECTS
- Programming Technologies-5 ECTS
- Physical Training-2 ECTS
- Information-Communication Technologies-5 ECTS
СЕМЕСТР 4
- Physical Training-2 ECTS
- Algorithms and Data Structure-5 ECTS
- Production-4 ECTS
- Operating Systems and Networks-6 ECTS
- Artificial Intelligence Fundamentals-5 ECTS
- Applied Statistics-5 ECTS
- Philosophy-5 ECTS
СЕМЕСТР 5
- Data Mining-5 ECTS
- Classification and Clustering-5 ECTS
- Models and Methods of Practical Predictive Analytics-5 ECTS
- Business Process Management-5 ECTS
- Big Data Modeling-5 ECTS
- Introduction to Blockchain-5 ECTS
- Database Management-5 ECTS
- Feature Engineering-5 ECTS
- Introduction to Data Engineering-5 ECTS
- Data Analysis in Applications-5 ECTS
- NoSQL Databases-5 ECTS
- Methods of Optimisation and Research of Operations-5 ECTS
СЕМЕСТР 6
- Machine Learning-5 ECTS
- Distributed Data Streaming Technology-5 ECTS
- Applied Data Science-5 ECTS
- Introduction to Smart Contract Architecture-5 ECTS
- Big Data Ecosystems-6 ECTS
- Cloud Computing-5 ECTS
- Cloud Technologies in Data Science-5 ECTS
- Stat Computing & Data Analysis-5 ECTS
- Fundamentals of Decentralized Applications-5 ECTS
- Business Intelligence Tools-5 ECTS
- Natural Language Processing (NLP)-5 ECTS
- Production-4 ECTS
СЕМЕСТР 7
- Deep Learning-6 ECTS
- Software Design and Development-5 ECTS
- Computer Vision-5 ECTS
- Cloud Data Warehouses-5 ECTS
- Processing of Internet Data-5 ECTS
- Recommendation Systems-5 ECTS
- Monitoring of Banking Processes-5 ECTS
- Parallel Computing for Data Science-5 ECTS
- Search Engines-5 ECTS
- Introduction to the Blockchain Business Model-5 ECTS
- Business Analytics and Data Visualization-5 ECTS
- Applied Data Science Project-5 ECTS
- Data Security-5 ECTS
СЕМЕСТР 8
- Final Attestation-8 ECTS
- Production-8 ECTS
- Pre-diploma-8 ECTS
Employment
Training of personnel in the field of professional activity: Specialist in machine learning; Specialist in neural networks; Specialist in DataMining; Data Scientist; BI-analyst Specialist in artificial intelligence; System administrator Research associate; Teacher in the system of secondary special, pre-university education; Manager in education. Manager FinTech
Contacts
Gulshat Amirkhanova Position: Deputy head of department for scientific and innovative work and international relations, Senior Lecturer al-Farabi Kazakh National University Republic of Kazakhstan, 050040, Almaty, al-Farabi Ave., 71 tel:+77076368078
Documents of EP
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