Curriculum

What will you learn?

The Programme brings together traditional courses in general and strategic management, business strategy and international business along with the application of data analytics for these areas. Master in Management & Analytics for Business places an emphasis on data-driven decision-making, on data-based business models, and on digital transformation of business. This expertise is expected to be the most relevant and demanded by employers.

The programme provides rigorous theoretical foundations during the first year of study – common for all students; and domain-oriented business analytical training in the second year. We invite students to have deep cutting-edge training in People Analytics (HR) or Customer Analytics (Marketing).

The programme targets bachelors with IT, math, economics and management background. Eligible students must have good command of English as demonstrated by international certificates or exam (except native English speakers and students who have completed a degree exclusively in English).

Research and Projects

The programme has a track on Research. We provide students with analytical skills by taking part in advanced training for business research methods and projects of HSE research centres. That facilitates their further education on leading international PhD programmes in Economics and Management. The most motivated and talented students will be granted an opportunity to integrate their research into projects of the International Laboratory of Intangible-driven Economy.

Research Seminars are conducted by leading experts in Business studies and are running for the whole period of study. Students write academic or project-based research master thesis under supervision of world class professionals:  Felix Lopez-Itturiaga (University of Valladolid), Carlos Fernandez-Jardon (University of Vigo), Dennis Coates (UMBC), Romie Littrell (HSE University), Angel Barajas (HSE University). 

Internships

The programme offers three months’ business internships for all students. Moreover, we encourage the best students to have longer period of training on the base of HSE business partners: Danone, Nissan, 2GIS, JTI, BAT, Philip Morris, Bosch-Siemens, KPMG, Ernst & Young, Deloitte, McKinsey, VTB, Sberbank among others. That enriches the programme curriculum but more importantly enables substantially better personal placement and future employability.

Semester abroad

Exchange programs provide students with the chance to spend one semester at a partner university abroad. 

Courses (for intake 2021)

Basic components of the field of study

1. Strategic Management  ( 3 credits)
2. Research Methods in Management (3 credits)
3.  Analytical Tools Expert (Google IQ; Yandex Metrica Expert) (3 credits)
4.  Applied Strategic Management (6 credits)

Basic components of the degree programme

1. Statistical Methods of Analysis (6 credits)
2.  Practical Machine Learning Methods for Data Mining  (6 credits)
3.  Data Analysis for Optimization of Marketing Expenditure (3 credits)
4.  Knowledge and Information Management (3 credits)
5.  University Pool Course (MAGOLEGO) (3 credits)

 Tracks (Syllabuses are to be updated for the academic year 2022-23)

I. People Analytics

1. People Analytics: Prediction of Performance & Prescription of Policy (3 credits)
2. Staffing Analytics Overview (4 credits)
3. Performance Evaluation: Data and Tools (3 credits)
4. Talent Analytics: Data and Tools (3 credits)

 II. Customer Analytics

1.  Advanced Marketing Models (3 credits)
2. Data Science for Marketing Analytics ( 3 credits)
3. Consumer Behaviour (3 credits)
4. Database Marketing and Analytical CRM (3 credits)
5. Social Network Analysis (3 credits)

 III. Research distinction 

1. Times Series Econometrics (6 credits)
2. Applied Econometrics of Panel and Spatial Data (6 credits)
3.  Research in Innovative Management (3 credits) or Research in Strategic Entrepreneurship (3 credits)

 IV. Applied Statistics with Network Analysis

1. Analysis of Covariance Models (4 credits)
2.  Exploratory Data Analysis (4 credits) 
3.  Multidimensional Data Analysis (4 credits)
4. Social Network Analysis (3 credits)

 Research Seminar

1. Research seminar ''Data-driven Business Research in HR'' (11 credits)
2.  Research seminar ''Data-driven Business Research in Marketing'' (9 credits)
   
3.  Research Seminar "Postgraduate Seminar" (9 credits)