Master of Science in Big Data Analytics for Business Duration: 1 year - 3 terms Language: English Campus: Lille Intake: September Credits: 90 ECTS
Crunch Big Data, Take Control of your Future Program Objectives
Director’s Message
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BIG data. BIG analytics. BIG career. By teaching participants how to master the new data-driven challenges that companies are currently experiencing in (online) Dr. Kristof Coussement, marketing, finance, and operations, the MSc in Big Data Analytics for Academic Director, Marketing & International Business is an extraordinarily relevant market-driven mustNegotiation Department have on one’s curriculum vitae. The opportunity to spend an academic year in an international environment, with instructors and peers from around the globe, creates a program that will be an ever-lasting professional and personal experience.
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2015 Class Profile
The MSc in Big Data Analytics for Business is a unique program that trains data scientists in the field of (online) marketing, finance, and operations. Participants are exposed to the leading-edge fundamentals in decision-making by extracting knowledge from Big Data, including social media data, customer web traffic data, Bloomberg’s financial data, and inventory process logs. Participants will learn how to solve managerial problems by critically asking questions in the spirit of ‘What do we know?’ (data driven) rather than ‘What do we think?’ (gut feeling).
Program Advantages
+ + +
Exposure to fact-based management through the introduction of leading tools and methodologies that convert data to knowledge The possibility to obtain business-relevant certificates and exposure to business analytics and decision-making tools (SAP Business Objects, SAS, Google Analytics, R, IBM Statistics, Hadoop, Hyve, Bloomberg trading room, Excel) It builds on the quality of IÉSEG’s research team, and participants are exposed to the impact of both academic and applied research on the industry
Age range
9 nationalities
Academic background Economics
6%
Europe 6% East Asia 19%
North America & South America 12%
South Asia 44%
Business Administration & Management
27+ 45% Engineering
27 23
31%
31%
30%
South East Asia 19%
< 23 25%
Finance
19%
Maths/Computer Science
13%
Program Structure The program is offered on a full-time basis and consists of 2 consecutive semesters of courses (September – May) followed by an internship (from June). The curriculum is developed around core courses and specialized courses. French language lessons (for all levels) are included in the program for international students.
Business 10%
Marketing 10% > Marketing Research > Recommendation Tools > Clickstream and Web Analytics > Social Media Analytics > Search Engine Marketing
Finance 5%
> Project Management > Communication Skills > Leadership & Ethical Behavior > Talent: Career Support Program
> Credit Scoring > Financial Data Services (Bloomberg)
Operations 5%
Technology 20%
> Business Process Management > Optimization techniques
> Advanced Spreadsheet Analysis > Business Analytics & Decision Making Tools (Commercial and Open Source) > Business Reporting Tools > Big Data Tools
Hands-on Experience 35% > 4 – 6 month company project anywhere in the world
Methodology 15%
> Descriptive and Predictive Analytics > Forecasting > Social Network Analysis
Alongside the courses, the program includes additional workshops and corporate events to develop your personal and professional skills further. These cover a range of topics such as conflict management in cross-cultural environments and intercultural communication. Our Talent program helps you to establish your professional career plan by working on your skills, personal strengths, and using networking tools to be prepared to meet recruiters’ expectations internationally.
Career Outlook Graduates will have acquired the skills to discover key information by reviewing company data, taking into consideration the relevant business context. They will become decision makers with strong fundamentals in business and analytics. They can work as data scientists, digital/online marketers, web analysts, consumer intelligence experts, marketing analysts, market researchers, database marketers, customer insights managers, financial analysts, credit scoring analysts, and fraud detection analysts or in other related positions.
Capgemini
Student Testimonial
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I chose the MSc in Big Data Analytics for Business at IÉSEG School of Management for different reasons. Firstly, given my experience and skill set, the structure and content of the program are in line with what I am looking for in an MSc program and should significantly contribute towards a successful career. The balance between the hard and soft skills taught are ideal for a future Data Scientist. The methodological and technical aspects of the program will certainly help to address my skill gaps. Being bilingual in Canada is certainly a great professional advantage. Therefore, the compulsory French language course, complimented by living in France, are like undertaking a French immersion program whilst studying for my MSc.
Admission IÉSEG is proud to partner with Capgemini for its MSc in Big Data Analytics for Business program. This partnership, with one of the world’s foremost providers of consulting, technology, outsourcing services and local professional services, enriches participants’ views on big data analytics for business. Capgemini will share its expertise, professional perspectives and insights on current trends in their field of expertise with participants through coaching sessions, guest lectures, real-life case studies and company visits. It will also sponsor the first batch of graduates. The opportunity to learn about concrete professional issues from business leaders and to gain exposure to the real-world experience of successful practitioners is a key asset for participants.
Application process
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Mahir, Canada, 2016
Admission is based on student’s online application available at https://application.ieseg.fr/ and the review of the supporting documents. Admission is offered on an ongoing basis to qualified students from October 2015.
Application checklist / Requirements Online application form Undergraduate degree in Business Administration, Engineering, IT, Statistics or similar from a recognized university (transcripts and diploma) English proficiency test (IELTS 6.5, TOEFL IBT 85, TOEIC 800) for non-native English speakers CV / Resume Copy of passport 80€ application fee
Application deadlines • May 27th 2016 (non-EU citizens) • June 24th 2016 (EU citizens)
Contact
Tuition fees & scholarships
For more information visit www.ieseg.fr/msc-big-data-analytics/ or email Mrs. Noemie GONZALEZ at msc@ieseg.fr
• € 13,000 for domestic and international students • International merit-based scholarships available The information contained herein is accurate as of September 2015 and may be subject to change.