Pharmaceutical Technical University
BSc (Hons) Business Data Analytics
Program hakkında
Overview
The BSc (Hons) Business Data Analytics programme delivered at Pharmaceutical Technical University is validated by De Montfort University (UK). The graduates of the programme will be awarded with DMU higher educational degree which is acknowledged as higher education diploma in Uzbekistan. The programme provides a broad understanding of information systems coupled with in-depth exploration of analytics knowledge and concepts to help to derive valuable information and insights from data exploring the fundamental underlying principles of data analytics.
► Globally Recognized Qualification
Higher education by DMU, a university with over 150 years of teaching excellence.
► Hands-On Learning
Engage in placements and internships in international business entities within pharmaceutical industry and other fast developing sectors of national economy and public administration bodies
► State-of-the-Art Facilities
Study in most advanced student-centered learning environment – built at international standards educational facilities, powerful computing labs and data center, canteen and coffee-shops, and sports facilities.
► Career Preparedness
Get prepared for immediate business challenges and leadership roles in shaping a better future
► Global Opportunities
Participate in international exchange programmes to expand your understanding of global business and their growing opportunities.
► Social engagement
Gain broader social networking and sense of responsibility for community well-being and environmental sustainability
Career Opportunities
- Business analyst and/or data scientist career in international businesses and public organisations.
- BI and BA platform developers in ICT solution providers.
- Leading data analysts in digital and traditional business companies.
- Data analyst and BI officers in banking and financial institutions.
- Creating Startups in digital decision-making solution and data-driven businesses.
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Further studies to excel in academia and R&D entities.
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