Master
2024/2025
Strategic Innovation Management
Type:
Compulsory course (Business Analytics and Big Data Systems)
Area of studies:
Business Informatics
Delivered by:
Department of Strategic and International Management
Where:
Graduate School of Business
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Sergei Titov
Master’s programme:
Business Analytics and Big Data Systems
Language:
English
ECTS credits:
3
Contact hours:
24
Course Syllabus
Abstract
The discipline of Strategic Management of Innovation is aimed to deliver fundamental and applied knowledge, up-to-date analytical frameworks, and contemporary practical tools neccessary and sufficient for sustainably successful innovations in the corporate context within high dynamics and environmental uncertainty. The course includes a combination of theoretical concepts, views, and approaches as well as analytical tools and practical instruments for strategic management of technological innovations. The course covers such topics as dynamics of innovations and technology markets, frameworks of external and internal strategic analysis, generic and innovative strategies, transforming companies for innovation strategy implementation.
Seminars are aimed at developing skills and abilities to apply analytical frameworks and develop practical instincts of strategic management. Seminars are based primarily on the cases and their analysis. Lectures also include case observations, though the focus is primarily on theories, concepts, terminalogy, and general approaches to strategic management. Due to the limits of class hours reading and homework is the integral part of the course. Students are expected to pre-read the theoretical materials and cases to fully participate in discussion and successfully perform practical exercises which take plase both on lectures and seminars. Recommended reading is the absolutely neccessary for completion of the course. Additional reading is needed to rich the higher grades. Students are also encouraged to watch videos provided in the syllabus. As a part of self-study several test and case-based excercises are offered for students.
The qualification grade is normalized according to a 10-point scale, which intervals correspond to the following results:
from 0 to 3 points - "unsatisfactory",
4 - 5 points - "satisfactory",
6 - 7 points - "good",
8 - 10 points - "excellent".
Grades of "Excellent", "Good", "Satisfactory" are considered as positive ones. Grades "9" and "10" can be applied by the instructor, if the student performs tasks of advanced difficulty and / or demonstrates learning outcomes that exceed those provided for by the discipline program (additional methods and / or models are correctly used; methods and /or models applied in their extended versions, solutions are presented in several correct versions with comparative analysis, etc.). Course debt is treated as regular academic debt.