Smart application development (PM)
Smart application development
Educational program for the master's degree in scientific and pedagogical direction,
2 years of study
- The Scientific Educational Department "Digital Engineering and Data Analysis" offers a unique educational program for students who wish to enroll in a master's degree in Smart applications development.
General information about the profession of Smart applications developer or BI developer:
A BI developer is a developer of business solutions and Business Intelligence systems. This specialist optimizes business processes using information technology and develops tools for business analysis.
BI developers design and implement multidimensional database models (logical and physical), data marts, data warehouses, data transformations, analytical systems and reporting tools. This includes programming and configuring servers using MDX (Multi - Dimensional Expressions), an SQL-like query language focused on accessing multidimensional data structures, additional transformations, and solutions for specialized reports.
Since the BI developer is constantly working with data, and data is stored, usually, in relational databases, it is necessary to know SQL language for data management to get acquainted with the concept of corporate data storage, data models, ETL, OLAP, and many others. With this knowledge it is possible to grow from a BI developer to a BI architect.
You can also develop in the direction of predictive analytics (predictive analytics) or Big Data, since classical methods are no longer enough to make the right decisions, and therefore businesses need to correctly predict future processes, while processing huge amounts of data.
BI developers design and implement multidimensional database models (logical and physical), data marts, data warehouses, data transformations, analytical systems and reporting tools. This includes programming and configuring servers using MDX (Multi - Dimensional Expressions), an SQL-like query language focused on accessing multidimensional data structures, additional transformations, and solutions for specialized reports.
Since the BI developer is constantly working with data, and data is stored, usually, in relational databases, it is necessary to know SQL language for data management to get acquainted with the concept of corporate data storage, data models, ETL, OLAP, and many others. With this knowledge it is possible to grow from a BI developer to a BI architect.
You can also develop in the direction of predictive analytics (predictive analytics) or Big Data, since classical methods are no longer enough to make the right decisions, and therefore businesses need to correctly predict future processes, while processing huge amounts of data.
Graduates of this program will be able to:
· Model processes and objects based on standard computer-aided design packages;
· Develop and conduct experiments according to a given methodology, analyze the results;
· Compile reviews, reports, and scientific publications;
· Predict the development of intelligent information systems and technologies;
· Form new competitive ideas in the field of theory and practice of intelligent information technologies and systems.
· Develop and conduct experiments according to a given methodology, analyze the results;
· Compile reviews, reports, and scientific publications;
· Predict the development of intelligent information systems and technologies;
· Form new competitive ideas in the field of theory and practice of intelligent information technologies and systems.
Studied disciplines:
· Industrial Research Methods
· Applied Machine Learning
· Data Analysis
· Security Fundamentals
· Deep Learning and AI
· Business Intelligence in Applied Systems
· Data Driven Management
· Applied Computer Vision
· Stream and Event Processing using SPARK
· Text and Language Analytics
· Applied Machine Learning
· Data Analysis
· Security Fundamentals
· Deep Learning and AI
· Business Intelligence in Applied Systems
· Data Driven Management
· Applied Computer Vision
· Stream and Event Processing using SPARK
· Text and Language Analytics
Career opportunities that are in high demand:
1. Programming engineer
Software developers are responsible for developing large-scale applications. They program intelligences that work with algorithms, structure, and design. Software developers are in demand due to numerous well-paid fields.
2. Cloud engineer
Cloud programming is the practice of developing and maintaining the code used for the cloud architecture. As a cloud engineer, you may need to develop infrastructure or debug systems hosted on a remote server. This field became critical when cloud servers became ubiquitous.
3. Database developer
Any software solution that uses data also uses databases to store information. An intelligent database structure is necessary to optimize performance and provide easy access to program data.
Databases are critical for large-scale applications.
4. Coding: artificial intelligence
AI programming is one of the most lucrative career programs you can find. There is a solid job market, companies that need talent, and a high barrier to entry. If you are passionate about creating the future of software, this could be your career.
5. Machine learning engineer
Machine learning is a category of artificial intelligence that provides systems with algorithms that they can use to learn information without coding. Machine learning engineers write code that enters data into computers so that they can predict results based on it.
These engineers manage data and programs. This is an exciting field with new innovations. Companies like Amazon, Apple, and IBM are using machine learning to create cutting-edge technologies. To become a proficient machine learning engineer it is needed to acquire additional education, but basic skills are necessary.
6. Deep Learning Engineer
Deep learning is a very advanced form of machine learning. This coding field produces technologies such as facial recognition software, auto-driving cars, and voice recognition programs such as Siri. It uses a significant amount of data to create programs called neural networks that enable computers to make decisions.
This form of artificial intelligence is the next step away from machine learning and the level of compensation is also higher.
6. Data Scientist
If you are naturally analytical, organized, and statistically based, you can appreciate data science.
Data scientists are responsible for managing incredible amounts of data and making decisions based on that data.
Data scientists are as adept at programming as they are at statistics. This is a maths-driven field, so understand this before you embark on this career. In data science, languages such as R, Python, and SAS are used to develop solutions.
Mobile development
7. Mobile developer
Software developers are responsible for developing large-scale applications. They program intelligences that work with algorithms, structure, and design. Software developers are in demand due to numerous well-paid fields.
2. Cloud engineer
Cloud programming is the practice of developing and maintaining the code used for the cloud architecture. As a cloud engineer, you may need to develop infrastructure or debug systems hosted on a remote server. This field became critical when cloud servers became ubiquitous.
3. Database developer
Any software solution that uses data also uses databases to store information. An intelligent database structure is necessary to optimize performance and provide easy access to program data.
Databases are critical for large-scale applications.
4. Coding: artificial intelligence
AI programming is one of the most lucrative career programs you can find. There is a solid job market, companies that need talent, and a high barrier to entry. If you are passionate about creating the future of software, this could be your career.
5. Machine learning engineer
Machine learning is a category of artificial intelligence that provides systems with algorithms that they can use to learn information without coding. Machine learning engineers write code that enters data into computers so that they can predict results based on it.
These engineers manage data and programs. This is an exciting field with new innovations. Companies like Amazon, Apple, and IBM are using machine learning to create cutting-edge technologies. To become a proficient machine learning engineer it is needed to acquire additional education, but basic skills are necessary.
6. Deep Learning Engineer
Deep learning is a very advanced form of machine learning. This coding field produces technologies such as facial recognition software, auto-driving cars, and voice recognition programs such as Siri. It uses a significant amount of data to create programs called neural networks that enable computers to make decisions.
This form of artificial intelligence is the next step away from machine learning and the level of compensation is also higher.
6. Data Scientist
If you are naturally analytical, organized, and statistically based, you can appreciate data science.
Data scientists are responsible for managing incredible amounts of data and making decisions based on that data.
Data scientists are as adept at programming as they are at statistics. This is a maths-driven field, so understand this before you embark on this career. In data science, languages such as R, Python, and SAS are used to develop solutions.
Mobile development
7. Mobile developer