In the 'Customer analytics' track we teach our students to solve data-driven problems aimed at profit maximisation through better targeting, personalisation, and analysis of key drivers, e.g.:
- How to optimise marketing spending across different channels?
- How to predict and prevent customer churn?
- What kind of customers are our best customers?
- Which geographic areas to target?
- Which of our customers are likely to churn in the next 3 months?
- What additional products should we offer to each client depending on their past purchases?
The emphasis is on hands-on sessions involving the use of Excel and R/Python, where students learn to analyse survey, sales, CRM, text and social network data. The track’s graduates are trained to create reproducible reports that can be updated in a few seconds where it normally takes days or weeks for someone without coding experience to repeat the process with new data.
2. Track 'People Analytics'
Students receive the necessary knowledge and skills to lead companies through their contemporary HR challenges in a range of executive and consulting roles. Armed with specific courses and experiential projects in HR technologies, organisational culture, and analytics, students are exceptionally positioned to solve such challenges as:
- moving their organisation towards self-directed learning;
- introducing digital HR technologies;
- applying HR data for evidence-based decision making.
The track was designed to provide students with a unique balance of HR management, technical and analytical skills. The practicum courses are designed to deliver experiential learning via real-world projects. Courses will be built on practical cases and taught by professors and HR practitioners.
The approach allows students to understand the current context and best practices in human resource management; to focus on particular sectors and topics; to gain access to world-leading experts; to develop valuable professional networks.
3. Track 'Economic Data Analysis'
The following track trains research economists who can combine deep knowledge of modern economic theory with professional knowledge of economic and mathematical methods, including econometrics, machine learning, and the ability to work with applied computer programmes.
It is aimed to prepare business analysts able to build analytical models for business; conduct demand research, analysis of purchase data, auctions, price experiments, customer behaviour on the Internet, business processes in companies, etc.;
Track graduates’ potential employees are the analytical departments of large companies, commercial banks, insurance companies, investment institutions and other financial institutions, as well as state and municipal governments.