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

Нistory of Kazakhstan-5 ECTS
Sociology-2 ECTS
Psychology-2 ECTS
Culture-2 ECTS
Political science-2 ECTS
Foreign Language-5 ECTS
Kazakh (Russian) Language-5 ECTS
Physical Training-2 ECTS
Higher Mathematics-6 ECTS

СЕМЕСТР 2

Academic-2 ECTS
Fundamentals of human life safety-5 ECTS
Ecology and Sustainable Development-5 ECTS
Introduction to inclusion-5 ECTS
Physical Training-2 ECTS
Foreign Language-5 ECTS
Al-Farabi and Modernity-5 ECTS
Legal Bases of Corruption Control-5 ECTS
Basics of Financial Literacy-5 ECTS
Discrete Mathematics and Mathematical Logic-5 ECTS
Introduction to Data Science-5 ECTS
Kazakh (Russian) Language-5 ECTS
Entrepreneurship-5 ECTS
Abais Teaching-5 ECTS
Methods of scientific research-5 ECTS

СЕМЕСТР 3

Physical Training-2 ECTS
Programming Technologies-5 ECTS
Theory of Probability and Mathematical Statistics-6 ECTS
Database Theory-5 ECTS
Information and Communication Technologies-5 ECTS
Introduction to Data Engineering-5 ECTS

СЕМЕСТР 4

Industrial-4 ECTS
Machine Learning-5 ECTS
Physical Training-2 ECTS
Philosophy-5 ECTS
Algorithms and Data Structure-5 ECTS
Applied Statistics-5 ECTS
Operating Systems and Networks-6 ECTS

СЕМЕСТР 5

Methods of Optimisation and Research of Operations-5 ECTS
Deep Learning-5 ECTS
Data Mining-5 ECTS
Natural Language Processing (NLP)-5 ECTS
Big Data Modeling-5 ECTS
Database Management-5 ECTS
Search Engines-5 ECTS
CI/CD for Machine Learning-5 ECTS
Data Analysis in Applications-5 ECTS
Applied Data Science-5 ECTS
NoSQL Databases-5 ECTS
Distributed Data Streaming Technology-5 ECTS

СЕМЕСТР 6

Industrial-4 ECTS
Cloud Computing-5 ECTS
Large Language Model Engineering-5 ECTS
Project on Building Applications with Generative AI-5 ECTS
Business Process Management-5 ECTS
Business Intelligence Tools-5 ECTS
Distributed Data Processing with Apache Spark-5 ECTS
Data Modeling and Warehousing-5 ECTS
Big Data Ecosystems-6 ECTS
Computer Vision-5 ECTS
Cloud Technologies in Data Science-5 ECTS
Distributed File Systems & Cluster Administration-5 ECTS

СЕМЕСТР 7

High-Performance Computing on GPU-6 ECTS
Applied Data Science Project-5 ECTS
Business Analytics and Data Visualization-5 ECTS
Data Security-5 ECTS
Applied Multimodal Models-5 ECTS
Stat Computing & Data Analysis-5 ECTS
Cloud Data Warehouses-5 ECTS
Recommendation Systems-5 ECTS
Deep Reinforcement Learning-5 ECTS
Monitoring of Banking Processes-5 ECTS
Parallel Computing for Data Science-5 ECTS
Real-time Data Capture-5 ECTS
Data Quality Assurance & Automated Testing-5 ECTS

СЕМЕСТР 8

Final Attestation-8 ECTS
Industrial-8 ECTS
Pre-Graduation-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