Applied Data Science for Business

About the course

Short-term Professional Extension Program Abroad

Program Theme

Developing advanced skills in Data Science allowing professionals to manipulate, analyze and work with data using Python, supporting the decision-making process in Corporate Strategy.

Target

Students and young professionals from different academic fields interested in developing knowledge in Data Science applied in the corporate decision-making process. Interested candidates must have basic knowledge in Statistics and Python programming.

Objectives

Improve abilities related to fundamentals of Data Science applied in companies. Students will be guided in the development of a comprehensive project on real database analysis using Python, from managerial decisions to be taken to presenting a final report to managers. The course’s main objective is to prepare students to conduct similar projects in companies they work for, adding a great advantage to students’ CVs. The projects will be developed by multidisciplinary groups of students who have previous academic experience in Statistics, Programming and Corporate Management, in a diverse and rich discussion environment.

Applied Data Science for Business

Benefits for scholarship holders participating in this program:

  • Business English course for nonnative speakers with no additional costs
  • Assistance and documents for UK visa

  • Academic and logistics preparation for the program

Why should I attend this course?

  • Ph.D professors and market specialists with vast executive experience;
  • Two Executive Meetings with local managers along with the main program;
  • Today’s competition among companies is more intense than ever. Working simultaneously in different markets and countries, managers of large corporations must be capable of taking decisions considering a solid analysis of current data and future projections;
  • There is a high demand for professionals who know how to use Data Science tools applied in companies. This course opens a once-in-a-lifetime opportunity to develop your career in your country or abroad.

Content

Perfecting your communication skills, focusing on Business Management jargon and expressions commonly used by managers of international companies.

Advanced Data Science Concepts Applied to the Business Decision Making Process; Data Acquisition and Preparation; Exploratory Data Analysis; Business Visits and Executive Presentation.

Data Modeling & Evaluation; Deployment & Model Monitoring; Integration between Statistical Predictions and Business Decision Process; Capstone project presentation; Business Visits and Executive Presentation; Graduation Ceremony.

Frequently Asked Questions

Yes, you can request up to 2 changes in the program date without any extra cost. It is important that the request is submitted 60 days prior to the course starts.

Since the programs are 100% in English, to participate in the business-themed programs, the minimum level of English required is intermediate, and for the Business English courses at SUNY and ULV, the elementary level of English is fine.

The Advanced programs are designed for graduate students with a minimum of 3 years of working experience in their field of interest.

PROGRAM COORDINATION IN BRAZIL
Professor Ricardo Britto

PhD in Business Administration from FEA/USP, he is one of the most experienced Brazilian professors in International Business.

  • Location
    London - England
  • Dates
    3 weeks (January or July)
  • Investment
    £ 6.190 + Enrollment: £ 60
    Check opportunities for partial scholarships
  • Program Profile
    3 weeks of full-time classes and company visits
  • Workload
    80 hours of classes and activities (class–hours of 42~50’ varying between countries)
  • Additional Activity
    Business English module included in the program with 27 hours of classes
  • Students per Classroom
    From 20 to 40
    students
  • Certification
    Certificate in Executive Management (Applied Data Science for Business) and Business English
  • Language
    English
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